From cdca237c4210de1607baf895fe0aa45930b2d14d Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E9=BB=84=E4=BA=91=E9=BE=99?=
 <76432572+nankingjing@users.noreply.github.com>
Date: Sat, 11 Jul 2026 18:45:50 +0800
Subject: [PATCH 1/4] fix(prompts): localize web report item labels for English
 mode

---
 src/prompts.ts | 22 ++++++++++++++++++----
 1 file changed, 18 insertions(+), 4 deletions(-)

diff --git a/src/prompts.ts b/src/prompts.ts
index a5e303a..f6222ac 100644
--- a/src/prompts.ts
+++ b/src/prompts.ts
@@ -590,20 +590,34 @@ export function buildWebReportPrompt(
             ? `首次全量抓取（sitemap 共 ${totalDiscovered} 条 URL，以下为最新 ${newItems.length} 篇正文内容）`
             : `今日增量更新，共 ${newItems.length} 篇新内容`;
 
-      if (newItems.length === 0) return `## ${siteName}\n\n（${mode}，暂无可供分析的内容。）`;
+      if (newItems.length === 0) {
+        const emptyMsg =
+          lang === "en"
+            ? `(${mode}, no content available for analysis.)`
+            : `（${mode}，暂无可供分析的内容。）`;
+        return `## ${siteName}\n\n${emptyMsg}`;
+      }
 
       const unableToExtract = lang === "en" ? "(Unable to extract text content)" : "（无法提取文本内容）";
+      const itemLabels =
+        lang === "en"
+          ? { category: "Category", published: "Published/Updated", unknown: "Unknown", excerpt: "Excerpt" }
+          : { category: "分类", published: "发布/更新", unknown: "未知", excerpt: "内容节选" };
       const itemsText = newItems
         .map((item) =>
           [
             `### [${item.title || item.url}](${item.url})`,
-            `- 分类: ${item.category} | 发布/更新: ${item.lastmod.slice(0, 10) || "未知"}`,
-            `- 内容节选: ${item.content || unableToExtract}`,
+            `- ${itemLabels.category}: ${item.category} | ${itemLabels.published}: ${item.lastmod.slice(0, 10) || itemLabels.unknown}`,
+            `- ${itemLabels.excerpt}: ${item.content || unableToExtract}`,
           ].join("\n"),
         )
         .join("\n\n");
 
-      return `## ${siteName}（${mode}）\n\n${itemsText}`;
+      const sectionParen =
+        lang === "en"
+          ? `(${mode})`
+          : `（${mode}）`;
+      return `## ${siteName} ${sectionParen}\n\n${itemsText}`;
     })
     .join("\n\n---\n\n");
 

From 4d67fd27e4fb1c38f55e89a62f2eec1223dcd206 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E9=BB=84=E4=BA=91=E9=BE=99?=
 <76432572+nankingjing@users.noreply.github.com>
Date: Tue, 14 Jul 2026 09:27:57 +0800
Subject: [PATCH 2/4] fix(prompts): avoid extra space before Chinese section
 parentheses

---
 src/prompts.ts | 1750 ++++++++++++++++++++++++------------------------
 1 file changed, 868 insertions(+), 882 deletions(-)

diff --git a/src/prompts.ts b/src/prompts.ts
index f6222ac..7cb8de8 100644
--- a/src/prompts.ts
+++ b/src/prompts.ts
@@ -1,882 +1,868 @@
-/**
- * LLM prompt builders and item formatting.
- */
-
-import type { RepoConfig, GitHubItem, GitHubRelease } from "./github.ts";
-import type { WebFetchResult } from "./web.ts";
-import type { TrendingData } from "./trending.ts";
-import type { HnData } from "./hn.ts";
-
-// ---------------------------------------------------------------------------
-// Types
-// ---------------------------------------------------------------------------
-
-export interface RepoDigest {
-  config: RepoConfig;
-  issues: GitHubItem[];
-  prs: GitHubItem[];
-  releases: GitHubRelease[];
-  summary: string;
-}
-
-// ---------------------------------------------------------------------------
-// Formatting
-// ---------------------------------------------------------------------------
-
-export function formatItem(item: GitHubItem, lang: "zh" | "en" = "zh"): string {
-  const labels = item.labels.map((l) => l.name).join(", ");
-  const labelStr = labels ? ` [${labels}]` : "";
-  const body = (item.body ?? "").replace(/\n/g, " ").trim().slice(0, 300);
-  const ellipsis = (item.body ?? "").length > 300 ? "..." : "";
-  const t =
-    lang === "en"
-      ? {
-          author: "Author",
-          created: "Created",
-          updated: "Updated",
-          comments: "Comments",
-          url: "URL",
-          summary: "Summary",
-        }
-      : { author: "作者", created: "创建", updated: "更新", comments: "评论", url: "链接", summary: "摘要" };
-  return [
-    `#${item.number} [${item.state.toUpperCase()}]${labelStr} ${item.title}`,
-    `  ${t.author}: @${item.user.login} | ${t.created}: ${item.created_at.slice(0, 10)} | ${t.updated}: ${item.updated_at.slice(0, 10)} | ${t.comments}: ${item.comments} | 👍: ${item.reactions?.["+1"] ?? 0}`,
-    `  ${t.url}: ${item.html_url}`,
-    `  ${t.summary}: ${body}${ellipsis}`,
-  ].join("\n");
-}
-
-// ---------------------------------------------------------------------------
-// Sampling helpers (shared)
-// ---------------------------------------------------------------------------
-
-const CLI_ISSUE_LIMIT = 30;
-const CLI_PR_LIMIT = 20;
-
-/** Sort by comment count desc, take top N. */
-function topN(items: GitHubItem[], n: number): GitHubItem[] {
-  return [...items].sort((a, b) => b.comments - a.comments).slice(0, n);
-}
-
-function sampleNote(total: number, sampled: number, lang: "zh" | "en" = "zh"): string {
-  if (lang === "en") {
-    return total > sampled
-      ? `(Total: ${total} items; showing top ${sampled} by comment count)`
-      : `(Total: ${total} items)`;
-  }
-  return total > sampled ? `（共 ${total} 条，以下展示评论数最多的 ${sampled} 条）` : `（共 ${total} 条）`;
-}
-
-// ---------------------------------------------------------------------------
-// Prompts
-// ---------------------------------------------------------------------------
-
-export function buildCliPrompt(
-  cfg: RepoConfig,
-  issues: GitHubItem[],
-  prs: GitHubItem[],
-  releases: GitHubRelease[],
-  dateStr: string,
-  lang: "zh" | "en" = "zh",
-): string {
-  const sampledIssues = topN(issues, CLI_ISSUE_LIMIT);
-  const sampledPrs = topN(prs, CLI_PR_LIMIT);
-
-  const issuesText =
-    sampledIssues.map((i) => formatItem(i, lang)).join("\n") || (lang === "en" ? "None" : "无");
-  const prsText = sampledPrs.map((p) => formatItem(p, lang)).join("\n") || (lang === "en" ? "None" : "无");
-  const releasesText = releases.length
-    ? releases.map((r) => `- ${r.tag_name}: ${r.name}\n  ${(r.body ?? "").slice(0, 300)}`).join("\n")
-    : lang === "en"
-      ? "None"
-      : "无";
-
-  const issueNote = sampleNote(issues.length, sampledIssues.length, lang);
-  const prNote = sampleNote(prs.length, sampledPrs.length, lang);
-
-  if (lang === "en") {
-    return `You are a technical analyst focused on AI developer tools. Based on the following GitHub data, generate the ${cfg.name} community digest for ${dateStr}.
-
-# Data source: github.com/${cfg.repo}
-
-## Latest Releases (last 24h)
-${releasesText}
-
-## Latest Issues (updated in last 24h)${issueNote}
-${issuesText}
-
-## Latest Pull Requests (updated in last 24h)${prNote}
-${prsText}
-
----
-
-Generate a structured English digest with the following sections:
-
-1. **Today's Highlights** - 2-3 sentences summarizing the most important updates
-2. **Releases** - If new versions exist, summarize changes; omit if none
-3. **Hot Issues** - Pick 10 noteworthy Issues, explain why they matter and community reaction
-4. **Key PR Progress** - Pick 10 important PRs, describe features or fixes
-5. **Feature Request Trends** - Distill the most-requested feature directions from all Issues
-6. **Developer Pain Points** - Summarize recurring developer frustrations or high-frequency requests
-
-Style: concise and professional, suited for technical developers. Include GitHub links for each item.
-`;
-  }
-
-  return `你是一位专注于 AI 开发工具的技术分析师。请根据以下 GitHub 数据，生成 ${dateStr} 的 ${cfg.name} 社区动态日报。
-
-# 数据来源: github.com/${cfg.repo}
-
-## 最新 Releases（过去24小时）
-${releasesText}
-
-## 最新 Issues（过去24小时内更新）${issueNote}
-${issuesText}
-
-## 最新 Pull Requests（过去24小时内更新）${prNote}
-${prsText}
-
----
-
-请生成一份结构清晰的中文日报，包含以下部分：
-
-1. **今日速览** - 用2-3句话概括今天最重要的动态
-2. **版本发布** - 如有新版本，总结更新内容；无则省略
-3. **社区热点 Issues** - 挑选 10 个最值得关注的 Issue，说明为什么重要、社区反应如何
-4. **重要 PR 进展** - 挑选 10 个重要的 PR，说明功能或修复内容
-5. **功能需求趋势** - 从所有 Issues 中提炼出社区最关注的功能方向（如 IDE 集成、性能、新模型支持等）
-6. **开发者关注点** - 总结开发者反馈中的痛点或高频需求
-
-语言要求：简洁专业，适合技术开发者阅读。每个条目附上 GitHub 链接。
-`;
-}
-
-const PEER_ISSUE_LIMIT = 30;
-const PEER_PR_LIMIT = 20;
-
-export function buildPeerPrompt(
-  cfg: RepoConfig,
-  issues: GitHubItem[],
-  prs: GitHubItem[],
-  releases: GitHubRelease[],
-  dateStr: string,
-  issueLimit = PEER_ISSUE_LIMIT,
-  prLimit = PEER_PR_LIMIT,
-  lang: "zh" | "en" = "zh",
-): string {
-  const totalIssues = issues.length;
-  const totalPrs = prs.length;
-
-  const sampledIssues = topN(issues, issueLimit);
-  const sampledPrs = topN(prs, prLimit);
-
-  const noneStr = lang === "en" ? "None" : "无";
-  const issuesText = sampledIssues.map((i) => formatItem(i, lang)).join("\n") || noneStr;
-  const prsText = sampledPrs.map((p) => formatItem(p, lang)).join("\n") || noneStr;
-  const releasesText = releases.length
-    ? releases.map((r) => `- ${r.tag_name}: ${r.name}\n  ${(r.body ?? "").slice(0, 300)}`).join("\n")
-    : noneStr;
-
-  const openIssues = issues.filter((i) => i.state === "open").length;
-  const closedIssues = issues.filter((i) => i.state === "closed").length;
-  const openPrs = prs.filter((p) => p.state === "open").length;
-  const mergedPrs = prs.filter((p) => p.state === "closed").length;
-
-  const issueSampleNote = sampleNote(totalIssues, sampledIssues.length, lang);
-  const prSampleNote = sampleNote(totalPrs, sampledPrs.length, lang);
-
-  if (lang === "en") {
-    return `You are an analyst of AI agent and personal AI assistant open-source projects. Based on the following GitHub data from ${cfg.name} (github.com/${cfg.repo}), generate a project digest for ${dateStr}.
-
-# Data Overview
-- Issues updated in last 24h: ${totalIssues} (open/active: ${openIssues}, closed: ${closedIssues})
-- PRs updated in last 24h: ${totalPrs} (open: ${openPrs}, merged/closed: ${mergedPrs})
-- New releases: ${releases.length}
-
-## Latest Releases
-${releasesText}
-
-## Latest Issues ${issueSampleNote}
-${issuesText}
-
-## Latest Pull Requests ${prSampleNote}
-${prsText}
-
----
-
-Generate a structured English ${cfg.name} project digest with the following sections:
-
-1. **Today's Overview** - 3-5 sentences summarizing project status, including activity assessment
-2. **Releases** - If new versions exist, detail changes, breaking changes, migration notes; omit if none
-3. **Project Progress** - Merged/closed PRs today, what features advanced or were fixed
-4. **Community Hot Topics** - Most active Issues/PRs with most comments/reactions (with links), analyze underlying needs
-5. **Bugs & Stability** - Bugs, crashes, regressions reported today, ranked by severity, note if fix PRs exist
-6. **Feature Requests & Roadmap Signals** - User-requested features, predict which might be in next version
-7. **User Feedback Summary** - Real user pain points, use cases, satisfaction/dissatisfaction
-8. **Backlog Watch** - Long-unanswered important Issues or PRs needing maintainer attention
-
-Style: objective, data-driven, highlighting project health. Include GitHub links for each item.
-`;
-  }
-
-  return `你是一位 AI 智能体与个人 AI 助手领域开源项目分析师。请根据以下来自 ${cfg.name} (github.com/${cfg.repo}) 的 GitHub 数据，生成 ${dateStr} 的项目动态日报。
-
-# 数据概览
-- 过去24小时 Issues 更新：${totalIssues} 条（新开/活跃: ${openIssues}，已关闭: ${closedIssues}）
-- 过去24小时 PR 更新：${totalPrs} 条（待合并: ${openPrs}，已合并/关闭: ${mergedPrs}）
-- 新版本发布：${releases.length} 个
-
-## 最新 Releases
-${releasesText}
-
-## 最新 Issues ${issueSampleNote}
-${issuesText}
-
-## 最新 Pull Requests ${prSampleNote}
-${prsText}
-
----
-
-请生成一份结构清晰的 ${cfg.name} 项目日报，包含以下部分：
-
-1. **今日速览** - 用3-5句话概括项目今日整体状态，包括活跃度评估
-2. **版本发布** - 如有新版本，详细说明更新内容、破坏性变更、迁移注意事项；无则省略
-3. **项目进展** - 今日合并/关闭的重要 PR，说明推进了哪些功能或修复，项目整体向前迈进了多少
-4. **社区热点** - 今日讨论最活跃、评论最多、反应最多的 Issues/PRs（附链接），分析背后的诉求
-5. **Bug 与稳定性** - 今日报告的 Bug、崩溃、回归问题，按严重程度排列，标注是否已有 fix PR
-6. **功能请求与路线图信号** - 用户提出的新功能需求，结合已有 PR 判断哪些可能被纳入下一版本
-7. **用户反馈摘要** - 从 Issues 评论中提炼真实用户痛点、使用场景、满意/不满意的地方
-8. **待处理积压** - 长期未响应的重要 Issue 或 PR，提醒维护者关注
-
-语言要求：客观专业，数据驱动，突出项目健康度。每个条目附上 GitHub 链接。
-`;
-}
-
-export function buildPeersComparisonPrompt(
-  openclawDigest: RepoDigest,
-  peerDigests: RepoDigest[],
-  dateStr: string,
-  lang: "zh" | "en" = "zh",
-): string {
-  const noActivityStr = lang === "en" ? "No activity in the last 24 hours." : "过去24小时无活动。";
-
-  const openclawSection =
-    lang === "en"
-      ? `## OpenClaw (core reference, github.com/${openclawDigest.config.repo})\n${openclawDigest.summary}`
-      : `## OpenClaw（核心参照，github.com/${openclawDigest.config.repo}）\n${openclawDigest.summary}`;
-
-  const peerSections = peerDigests
-    .map((d) => {
-      const hasData = d.issues.length || d.prs.length || d.releases.length;
-      if (!hasData) return `## ${d.config.name} (github.com/${d.config.repo})\n${noActivityStr}`;
-      return `## ${d.config.name} (github.com/${d.config.repo})\n${d.summary}`;
-    })
-    .join("\n\n---\n\n");
-
-  if (lang === "en") {
-    return `You are a senior analyst of the AI agent and personal AI assistant open-source ecosystem. The following are ${dateStr} community digest summaries for each project.
-
-${openclawSection}
-
----
-
-${peerSections}
-
----
-
-Generate a cross-project comparison report in English with these sections:
-
-1. **Ecosystem Overview** - 3-5 sentences on the overall personal AI assistant / agent open-source landscape
-2. **Activity Comparison** - Table comparing Issues count, PR count, Release status, and health score for each project
-3. **OpenClaw's Position** - Advantages vs peers, technical approach differences, community size comparison
-4. **Shared Technical Focus Areas** - Requirements emerging across multiple projects (note which projects, specific needs)
-5. **Differentiation Analysis** - Key differences in feature focus, target users, technical architecture
-6. **Community Momentum & Maturity** - Activity tiers, which are rapidly iterating, which are stabilizing
-7. **Trend Signals** - Industry trends extracted from community feedback, value for AI agent developers
-
-Style: concise and professional, data-backed, suited for technical decision-makers and developers.
-`;
-  }
-
-  return `你是一位专注于 AI 智能体与个人 AI 助手开源生态的资深技术分析师。以下是 ${dateStr} 各开源项目的社区动态摘要。
-
-${openclawSection}
-
----
-
-${peerSections}
-
----
-
-请基于上述各项目的动态，生成一份横向对比分析报告，包含以下部分：
-
-1. **生态全景** - 用3-5句话概括个人 AI 助手/自主智能体开源生态整体态势
-2. **各项目活跃度对比** - 以表格形式汇总各项目今日的 Issues 数、PR 数、Release 情况及健康度评估
-3. **OpenClaw 在生态中的定位** - 与同类相比的优势、技术路线差异、社区规模对比
-4. **共同关注的技术方向** - 多项目共同涌现的需求（注明涉及哪些项目、具体诉求）
-5. **差异化定位分析** - 功能侧重、目标用户、技术架构的关键差异
-6. **社区热度与成熟度** - 活跃度分层，哪些处于快速迭代阶段，哪些在质量巩固阶段
-7. **值得关注的趋势信号** - 从社区反馈中提炼行业趋势，对 AI 智能体开发者的参考价值
-
-语言要求：简洁专业，有数据支撑，适合技术决策者和开发者阅读。
-`;
-}
-
-export function buildSkillsPrompt(
-  prs: GitHubItem[],
-  issues: GitHubItem[],
-  dateStr: string,
-  lang: "zh" | "en" = "zh",
-): string {
-  const topPrs = topN(prs, 20);
-  const topIssues = topN(issues, 15);
-
-  const noneStr = lang === "en" ? "None" : "无";
-  const prsText = topPrs.map((p) => formatItem(p, lang)).join("\n") || noneStr;
-  const issuesText = topIssues.map((i) => formatItem(i, lang)).join("\n") || noneStr;
-
-  if (lang === "en") {
-    return `You are a technical analyst focused on the Claude Code ecosystem. The following data is from github.com/anthropics/skills (official Claude Code Skills repository). Analyze the community's most-watched Skills activity (data as of ${dateStr}).
-
-## Repository Context
-anthropics/skills is the official Claude Code Skills collection. Each PR typically represents a new or improved Skill. The community proposes new Skills and reports issues via Issues; PRs represent actual Skill submissions.
-
-## Popular Pull Requests (sorted by comments, ${prs.length} total, showing top ${topPrs.length})
-${prsText}
-
-## Community Issues (sorted by comments, ${issues.length} total, showing top ${topIssues.length})
-${issuesText}
-
----
-
-Generate a Claude Code Skills community highlights report in English with these sections:
-
-1. **Top Skills Ranking** - List the 5-8 most-discussed Skills (PRs) by comments/attention, describe each Skill's functionality, discussion highlights, and current status (open/merged/draft)
-2. **Community Demand Trends** - From Issues, distill the most-anticipated new Skill directions (e.g. workflow automation, code review, test generation, documentation)
-3. **High-Potential Pending Skills** - Active-comment PRs not yet merged; these Skills may land soon
-4. **Skills Ecosystem Insight** - One-sentence summary: what is the community's most concentrated demand at the Skills level?
-
-Style: concise and professional, include GitHub links for each item.
-`;
-  }
-
-  return `你是一位专注于 Claude Code 生态的技术分析师。以下是来自 github.com/anthropics/skills（Claude Code Skills 官方仓库）的数据，请分析社区最关注的 Skills 动态（数据截止 ${dateStr}）。
-
-## 仓库说明
-anthropics/skills 是 Claude Code 官方 Skills 集合仓库，每个 PR 通常对应一个新增或改进的 Skill。社区通过 Issues 提出新 Skill 需求或反馈问题，PR 则代表实际提交的 Skill。
-
-## 热门 Pull Requests（按评论数排序，共 ${prs.length} 条，展示前 ${topPrs.length} 条）
-${prsText}
-
-## 社区 Issues（按评论数排序，共 ${issues.length} 条，展示前 ${topIssues.length} 条）
-${issuesText}
-
----
-
-请生成一份 Claude Code Skills 社区热点报告，包含以下部分：
-
-1. **热门 Skills 排行** - 列出评论/关注度最高的 5~8 个 Skills（PR），说明每个 Skill 的功能、社区讨论热点及当前状态（open/merged/draft）
-2. **社区需求趋势** - 从 Issues 中提炼社区最期待的新 Skill 方向（如工作流自动化、代码审查、测试生成、文档等）
-3. **高潜力待合并 Skills** - 评论活跃但尚未合并的 PR，这些 Skills 可能近期落地
-4. **Skills 生态洞察** - 一句话总结：当前社区在 Skills 层面最集中的诉求是什么
-
-语言要求：简洁专业，每个条目附上 GitHub 链接。
-`;
-}
-
-export function buildComparisonPrompt(
-  digests: RepoDigest[],
-  dateStr: string,
-  lang: "zh" | "en" = "zh",
-): string {
-  const noActivityStr = lang === "en" ? "No activity in the last 24 hours." : "过去24小时无活动。";
-
-  const sections = digests
-    .map((d) => {
-      const hasData = d.issues.length || d.prs.length || d.releases.length;
-      if (!hasData) return `## ${d.config.name} (github.com/${d.config.repo})\n${noActivityStr}`;
-      return `## ${d.config.name} (github.com/${d.config.repo})\n${d.summary}`;
-    })
-    .join("\n\n---\n\n");
-
-  if (lang === "en") {
-    return `You are a senior technical analyst of the AI developer tools ecosystem. The following are ${dateStr} community digest summaries for each major AI CLI tool:
-
-${sections}
-
----
-
-Generate a cross-tool comparison report in English with these sections:
-
-1. **Ecosystem Overview** - 3-5 sentences on the overall AI CLI tools development landscape
-2. **Activity Comparison** - Table comparing Issues count, PR count, Release status for each tool today
-3. **Shared Feature Directions** - Requirements appearing across multiple tool communities (note which tools, specific needs)
-4. **Differentiation Analysis** - Differences in feature focus, target users, and technical approach
-5. **Community Momentum & Maturity** - Which tools have more active communities, which are rapidly iterating
-6. **Trend Signals** - Industry trends from community feedback, reference value for developers
-
-Style: concise and professional, data-backed, suited for technical decision-makers and developers.
-`;
-  }
-
-  return `你是一位专注于 AI 开发工具生态的资深技术分析师。以下是 ${dateStr} 各主流 AI CLI 工具的社区动态摘要：
-
-${sections}
-
----
-
-请基于上述各工具的动态，生成一份横向对比分析报告，包含以下部分：
-
-1. **生态全景** - 用3-5句话概括当前 AI CLI 工具整体发展态势
-2. **各工具活跃度对比** - 以表格形式汇总各工具今日的 Issues 数、PR 数、Release 情况
-3. **共同关注的功能方向** - 多个工具社区都在关注的需求（说明哪些工具、具体诉求）
-4. **差异化定位分析** - 各工具在功能侧重、目标用户、技术路线上的差异
-5. **社区热度与成熟度** - 哪些工具社区更活跃，哪些处于快速迭代阶段
-6. **值得关注的趋势信号** - 从社区反馈中提炼出的行业趋势，对开发者有何参考价值
-
-语言要求：简洁专业，有数据支撑，适合技术决策者和开发者阅读。
-`;
-}
-
-export function buildTrendingPrompt(data: TrendingData, dateStr: string, lang: "zh" | "en" = "zh"): string {
-  const trendingSection =
-    data.trendingFetchSuccess && data.trendingRepos.length > 0
-      ? data.trendingRepos
-          .map(
-            (r) =>
-              `- [${r.fullName}](${r.url})` +
-              (r.language ? ` [${r.language}]` : "") +
-              ` ⭐${r.totalStars.toLocaleString()}` +
-              (r.todayStars > 0 ? ` (+${r.todayStars} today)` : "") +
-              (r.forks > 0 ? ` 🍴${r.forks.toLocaleString()}` : "") +
-              (r.description ? `\n  ${r.description}` : ""),
-          )
-          .join("\n")
-      : lang === "en"
-        ? "(Unable to fetch today's GitHub Trending list)"
-        : "（未能抓取今日 GitHub Trending 榜单）";
-
-  const searchSection =
-    data.searchRepos.length > 0
-      ? data.searchRepos
-          .map(
-            (r) =>
-              `- [${r.fullName}](${r.url})` +
-              (r.language ? ` [${r.language}]` : "") +
-              ` ⭐${r.stargazersCount.toLocaleString()}` +
-              ` [topic:${r.searchQuery}]` +
-              (r.description ? `\n  ${r.description}` : ""),
-          )
-          .join("\n")
-      : lang === "en"
-        ? "(No search results)"
-        : "（无搜索结果）";
-
-  if (lang === "en") {
-    return `You are a technical analyst focused on the AI open-source ecosystem. The following is ${dateStr} GitHub AI-related trending repository data. Please filter for AI relevance, categorize, and analyze trends.
-
-## Data Sources
-- **Trending List** (github.com/trending, today's stars most reliable): Real-time hot list with today's new stars
-- **Topic Search** (GitHub Search API, topic tags): AI-related projects active in last 7 days, grouped by topic
-
----
-
-## GitHub Today's Trending (${data.trendingRepos.length} repositories)
-${trendingSection}
-
----
-
-## AI Topic Search Results (${data.searchRepos.length} repositories, deduplicated)
-${searchSection}
-
----
-
-Generate a structured AI Open Source Trends Report in English:
-
-**Step 1 (Filter)**: From the above data, select projects clearly related to AI/ML (exclude unrelated general tools, frontend frameworks, games, etc.). Skip non-AI trending repos.
-
-**Step 2 (Categorize)**: Group filtered projects into these categories (a project can belong to multiple; pick the primary one):
-- 🔧 AI Infrastructure (frameworks, SDKs, inference engines, dev tools, CLI)
-- 🤖 AI Agents / Workflows (agent frameworks, automation, multi-agent systems)
-- 📦 AI Applications (specific apps, vertical solutions)
-- 🧠 LLMs / Training (model weights, training frameworks, fine-tuning tools)
-- 🔍 RAG / Knowledge (vector databases, retrieval-augmented generation, knowledge management)
-
-**Step 3 (Output Report)** with these sections:
-
-1. **Today's Highlights** — 3-5 sentences on the most noteworthy AI open-source developments today
-
-2. **Top Projects by Category** — For each category, list 3-8 representative projects, each with:
-   - Project name (with link)
-   - Stars data (total + today's new, if available)
-   - One sentence: what it is and why it's worth attention today
-
-3. **Trend Signal Analysis** — 200-300 words, distill from today's hot list:
-   - Which type of AI tool is getting explosive community attention?
-   - Any new tech stacks or directions appearing for the first time?
-   - Connection to recent LLM releases / industry events
-
-4. **Community Hot Spots** — Bullet list of 3-5 specific projects or directions worth developer focus, with brief reasoning
-
-Style: English, professional and concise, must include GitHub links for every project.
-`;
-  }
-
-  return `你是一位专注于 AI 开源生态的技术分析师。以下是 ${dateStr} 的 GitHub AI 相关热门仓库数据，请进行 AI 相关性筛选、分类和趋势分析。
-
-## 数据说明
-- **Trending 榜单**（github.com/trending，今日 stars 数最可信）：今日实时热榜，含今日新增 stars
-- **主题搜索**（GitHub Search API，topic 标签）：7天内活跃的 AI 相关项目，按主题分类
-
----
-
-## GitHub 今日 Trending 榜单（共 ${data.trendingRepos.length} 个仓库）
-${trendingSection}
-
----
-
-## AI 主题搜索结果（共 ${data.searchRepos.length} 个仓库，已去重）
-${searchSection}
-
----
-
-请生成一份结构清晰的《AI 开源趋势日报》，要求：
-
-**第一步（过滤）**：从以上数据中筛选出与 AI/ML 明确相关的项目（排除与 AI 无关的通用工具、前端框架、游戏等），对于 Trending 榜单中的非 AI 项目直接略去。
-
-**第二步（分类）**：将筛选后的项目按以下维度分类（一个项目可归入多类，优先归入最主要类别）：
-- 🔧 AI 基础工具（框架、SDK、推理引擎、开发工具、CLI）
-- 🤖 AI 智能体/工作流（Agent 框架、自动化、多智能体）
-- 📦 AI 应用（具体应用产品、垂直场景解决方案）
-- 🧠 大模型/训练（模型权重、训练框架、微调工具）
-- 🔍 RAG/知识库（向量数据库、检索增强、知识管理）
-
-**第三步（输出报告）**，包含以下部分：
-
-1. **今日速览** — 3~5 句话概括今日 AI 开源领域最值得关注的动向
-
-2. **各维度热门项目** — 每个维度列出 3~8 个代表项目，每项包含：
-   - 项目名（附链接）
-   - stars 数据（总量 + 今日新增，如有）
-   - 一句话说明：这个项目是什么，为什么今天值得关注
-
-3. **趋势信号分析** — 200~300 字，从今日热榜中提炼：
-   - 哪类 AI 工具正在获得社区爆发性关注？
-   - 有无新兴技术栈或方向首次登榜？
-   - 与近期大模型发布/行业事件的关联
-
-4. **社区关注热点** — 以 bullet 形式列出 3~5 个值得开发者重点关注的具体项目或方向，给出简短理由
-
-语言要求：中文，专业简洁，每个项目必须附 GitHub 链接。
-`;
-}
-
-export function buildWebReportPrompt(
-  results: WebFetchResult[],
-  dateStr: string,
-  lang: "zh" | "en" = "zh",
-): string {
-  const isAnyFirstRun = results.some((r) => r.isFirstRun);
-
-  const siteSections = results
-    .map(({ siteName, isFirstRun, newItems, totalDiscovered }) => {
-      const mode =
-        lang === "en"
-          ? isFirstRun
-            ? `First full crawl (sitemap total ${totalDiscovered} URLs, showing latest ${newItems.length} articles)`
-            : `Incremental update, ${newItems.length} new articles today`
-          : isFirstRun
-            ? `首次全量抓取（sitemap 共 ${totalDiscovered} 条 URL，以下为最新 ${newItems.length} 篇正文内容）`
-            : `今日增量更新，共 ${newItems.length} 篇新内容`;
-
-      if (newItems.length === 0) {
-        const emptyMsg =
-          lang === "en"
-            ? `(${mode}, no content available for analysis.)`
-            : `（${mode}，暂无可供分析的内容。）`;
-        return `## ${siteName}\n\n${emptyMsg}`;
-      }
-
-      const unableToExtract = lang === "en" ? "(Unable to extract text content)" : "（无法提取文本内容）";
-      const itemLabels =
-        lang === "en"
-          ? { category: "Category", published: "Published/Updated", unknown: "Unknown", excerpt: "Excerpt" }
-          : { category: "分类", published: "发布/更新", unknown: "未知", excerpt: "内容节选" };
-      const itemsText = newItems
-        .map((item) =>
-          [
-            `### [${item.title || item.url}](${item.url})`,
-            `- ${itemLabels.category}: ${item.category} | ${itemLabels.published}: ${item.lastmod.slice(0, 10) || itemLabels.unknown}`,
-            `- ${itemLabels.excerpt}: ${item.content || unableToExtract}`,
-          ].join("\n"),
-        )
-        .join("\n\n");
-
-      const sectionParen =
-        lang === "en"
-          ? `(${mode})`
-          : `（${mode}）`;
-      return `## ${siteName} ${sectionParen}\n\n${itemsText}`;
-    })
-    .join("\n\n---\n\n");
-
-  const firstRunNote =
-    lang === "en"
-      ? isAnyFirstRun
-        ? "This is the first full crawl. Please focus on the overall content landscape, historical context, and core themes of each site, rather than individual articles."
-        : "This is an incremental update. Please focus on today's new content and assess its strategic significance in context."
-      : isAnyFirstRun
-        ? "本次为首次全量抓取，请重点梳理各站点的内容格局、历史脉络与核心主题，而非仅关注单篇文章。"
-        : "本次为增量更新，请聚焦今日新增内容，并结合上下文判断其战略意义。";
-
-  if (lang === "en") {
-    return `You are a deep content analyst focused on AI, skilled at extracting strategic signals from official announcements, technical blogs, research papers, and product documentation.
-
-The following content was crawled on ${dateStr} from Anthropic (claude.com / anthropic.com) and OpenAI (openai.com). ${firstRunNote}
-
-${siteSections}
-
----
-
-Generate a detailed AI Official Content Tracking Report in English with these sections:
-
-1. **Today's Highlights** — 3-5 sentences on the most important new releases or developments, calling out key highlights
-
-2. **Anthropic / Claude Content Highlights** — Organize important content by category (news / research / engineering / learn, etc.):
-   - For each piece, 2-4 sentences extracting core insights, technical details, or business significance
-   - Note publication date and original link
-   - If first full crawl, trace important milestones chronologically
-
-3. **OpenAI Content Highlights** — Same structure, organized by research / release / company / safety categories
-
-4. **Strategic Signal Analysis** — Based on both companies' release cadence and content focus, analyze:
-   - Each company's recent technical priorities (model capabilities / safety / productization / ecosystem)
-   - Competitive dynamics: who is setting the agenda, who is following
-   - Potential impact on developers and enterprise users
-
-5. **Notable Details** — Extract hidden signals from titles, phrasing, and timing, e.g.:
-   - New terms or topics appearing for the first time
-   - Dense releases in a category (may signal a product milestone)
-   - Policy, compliance, and safety developments
-
-${isAnyFirstRun ? "6. **Content Landscape Overview** — First full crawl only: summarize the content category distribution for both companies and describe their content strategy style (academic-oriented vs product-oriented vs user stories, etc.)\n\n" : ""}Style: English, professional and detailed, suited for AI researchers, product managers, and technical decision-makers. Every item must include official links.
-`;
-  }
-
-  return `你是一位专注于 AI 领域的深度内容分析师，擅长从官方公告、技术博客、研究论文和产品文档中提炼战略信号。
-
-以下是 ${dateStr} 从 Anthropic（claude.com / anthropic.com）和 OpenAI（openai.com）官网抓取的内容，${firstRunNote}
-
-${siteSections}
-
----
-
-请生成一份详实的《AI 官方内容追踪报告》，包含以下部分：
-
-1. **今日速览** — 3~5 句话概括最重要的新发布或动向，点出核心亮点
-
-2. **Anthropic / Claude 内容精选** — 按分类（news / research / engineering / learn 等）逐条整理重要内容：
-   - 每篇用 2~4 句话提炼核心观点、技术细节或业务意义
-   - 标注发布日期和原文链接
-   - 如首次全量，按时间线梳理重要里程碑
-
-3. **OpenAI 内容精选** — 同上，按 research / release / company / safety 等分类整理
-
-4. **战略信号解读** — 基于两家公司的发布节奏和内容重点，分析：
-   - 各自近期的技术优先级（模型能力 / 安全 / 产品化 / 生态）
-   - 竞争态势：谁在引领议题，谁在跟进
-   - 对开发者和企业用户的潜在影响
-
-5. **值得关注的细节** — 从标题、措辞、发布时机中提取隐含信号，例如：
-   - 新兴词汇或话题的首次出现
-   - 某类主题的密集发布（可能预示产品节点）
-   - 政策、合规、安全方面的动向
-
-${isAnyFirstRun ? "6. **内容格局总览** — 首次全量独有：汇总两家公司各内容类别的数量分布，并说明各自的内容运营风格（学术导向 vs 产品导向 vs 用户故事等）\n\n" : ""}语言要求：中文，专业深入，内容详实，适合 AI 领域研究者、产品经理和技术决策者阅读。每个条目必须附上 GitHub/官网链接。
-`;
-}
-
-export function buildWeeklyPrompt(
-  dailyDigests: Record<string, string>,
-  weekStr: string,
-  lang: "zh" | "en" = "zh",
-): string {
-  const digestEntries = Object.entries(dailyDigests)
-    .map(([date, content]) => `## ${date}\n\n${content}`)
-    .join("\n\n---\n\n");
-
-  if (lang === "en") {
-    return `You are a technical analyst focused on the AI open-source ecosystem. The following are daily digest summaries from the past 7 days (${weekStr}) of AI tool community activity. Generate a comprehensive weekly recap.
-
-${digestEntries}
-
----
-
-Generate an AI Tools Ecosystem Weekly Report with these sections:
-
-1. **Week's Top Stories** - 5-8 most important events, releases, and community developments this week, each with date
-2. **CLI Tools Progress** - Overall activity and key changes for each AI CLI tool (Claude Code, Codex, Gemini CLI, etc.)
-3. **AI Agent Ecosystem** - Key developments from OpenClaw and peer projects this week
-4. **Open Source Trends** - Most notable technical directions from GitHub Trending and AI community this week
-5. **HN Community Highlights** - Core AI discussion topics and community sentiment on Hacker News this week
-6. **Official Announcements** - Important content published by Anthropic and OpenAI this week (if any)
-7. **Next Week's Signals** - Based on this week's data, predict trends and upcoming events worth watching
-
-Style: English, concise and professional, helping technical developers quickly grasp the week's developments.
-`;
-  }
-
-  return `你是一位专注于 AI 开源生态的技术分析师。以下是过去 7 天（${weekStr}）的 AI 工具社区每日动态摘要，请生成本周综合回顾报告。
-
-${digestEntries}
-
----
-
-请生成《AI 工具生态周报》，包含以下部分：
-
-1. **本周要闻** - 5-8 条本周最重要的事件、版本发布、社区动向，每条附日期
-2. **CLI 工具进展** - 各 AI CLI 工具（Claude Code、Codex、Gemini CLI 等）本周整体动态与关键变化
-3. **AI Agent 生态** - OpenClaw 及同赛道项目的本周重要进展
-4. **开源趋势** - 本周 GitHub Trending 和 AI 社区最关注的技术方向
-5. **HN 社区热议** - 本周 Hacker News AI 讨论的核心话题与社区情绪
-6. **官方动态** - Anthropic 和 OpenAI 本周发布的重要内容（若有）
-7. **下周信号** - 基于本周数据，预判值得关注的趋势或即将到来的事件
-
-语言要求：中文，简洁专业，适合技术开发者快速掌握一周动态。
-`;
-}
-
-export function buildMonthlyPrompt(
-  sourceDigests: Record<string, string>,
-  monthStr: string,
-  lang: "zh" | "en" = "zh",
-): string {
-  const digestEntries = Object.entries(sourceDigests)
-    .map(([key, content]) => `## ${key}\n\n${content}`)
-    .join("\n\n---\n\n");
-
-  if (lang === "en") {
-    return `You are a technical analyst focused on the AI open-source ecosystem. The following are ${monthStr} AI tool community digest summaries (${Object.keys(sourceDigests).length} reports total). Generate a comprehensive monthly review.
-
-${digestEntries}
-
----
-
-Generate an AI Tools Ecosystem Monthly Report with these sections:
-
-1. **Month's Top Stories** - 5-10 most important events and milestones this month, in chronological order
-2. **CLI Tools Monthly Progress** - Overall development trajectory, major releases, and community growth for each key AI CLI tool
-3. **AI Agent Ecosystem Monthly Review** - Ecosystem landscape shifts, emerging projects, notable signals this month
-4. **Technical Trend Summary** - Most significant technical directions and paradigm shifts in AI open-source this month
-5. **Community Health Assessment** - Monthly activity comparison across major projects, developer engagement evaluation
-6. **Official Announcements Review** - Strategic analysis of Anthropic and OpenAI content published this month
-7. **Next Month's Outlook** - Based on this month's trends, predict key directions and potential events to watch
-
-Style: English, in-depth analysis, data-driven, suited for monthly retrospectives and strategic decision-making.
-`;
-  }
-
-  return `你是一位专注于 AI 开源生态的技术分析师。以下是 ${monthStr} 月的 AI 工具社区动态汇总（共 ${Object.keys(sourceDigests).length} 份报告），请生成本月综合回顾报告。
-
-${digestEntries}
-
----
-
-请生成《AI 工具生态月报》，包含以下部分：
-
-1. **月度要闻** - 本月最重要的 5-10 条事件和里程碑，按时间排列
-2. **CLI 工具月度进展** - 各主要 AI CLI 工具本月整体发展轨迹、重要版本、社区规模变化
-3. **AI Agent 生态月报** - 本月生态格局变化、新兴项目、值得关注的信号
-4. **技术趋势总结** - 本月 AI 开源领域最显著的技术方向与范式变化
-5. **社区生态健康度** - 各主要项目月度活跃度对比、开发者参与度评估
-6. **官方动态回顾** - Anthropic 和 OpenAI 本月发布内容的战略意义分析
-7. **下月展望** - 基于本月趋势，预判值得重点关注的方向和潜在事件
-
-语言要求：中文，深度分析，数据驱动，适合月度复盘和战略决策参考。
-`;
-}
-
-export function buildHnPrompt(data: HnData, dateStr: string, lang: "zh" | "en" = "zh"): string {
-  const storiesText = data.stories
-    .map((s, i) =>
-      lang === "en"
-        ? `${i + 1}. **${s.title}**\n` +
-          `   Link: ${s.url}\n` +
-          `   Discussion: ${s.hnUrl}\n` +
-          `   Score: ${s.points} | Comments: ${s.comments} | Author: @${s.author} | 时间: ${s.createdAt.slice(0, 16)}`
-        : `${i + 1}. **${s.title}**\n` +
-          `   链接: ${s.url}\n` +
-          `   讨论: ${s.hnUrl}\n` +
-          `   分数: ${s.points} | 评论: ${s.comments} | 作者: @${s.author} | 时间: ${s.createdAt.slice(0, 16)}`,
-    )
-    .join("\n\n");
-
-  if (lang === "en") {
-    return `You are an AI industry news analyst. The following are AI-related top posts from Hacker News in the past 24 hours as of ${dateStr} (sorted by score, ${data.stories.length} total):
-
----
-
-${storiesText}
-
----
-
-Generate a structured Hacker News AI Community Digest in English:
-
-1. **Today's Highlights** — 3-5 sentences on the hottest AI discussion topics and community sentiment on HN today
-
-2. **Top News & Discussions** — Organized by category, select the 2-5 most representative items per category, each with:
-   - Title (with original link) + HN discussion link
-   - Score and comment count
-   - One sentence: why this matters, what the community's typical reaction is
-
-   Categories:
-   - 🔬 Models & Research (new model releases, papers, benchmarks)
-   - 🛠️ Tools & Engineering (open-source projects, frameworks, engineering practices)
-   - 🏢 Industry News (company news, funding, product launches)
-   - 💬 Opinions & Debates (notable Ask HN, Show HN, or hot discussion threads)
-
-3. **Community Sentiment Signal** — 100-200 words analyzing today's HN AI discussion mood and focus:
-   - Which topics are most active (high score + high comments)?
-   - Any clear points of controversy or consensus?
-   - Compared to last cycle, any notable shift in focus?
-
-4. **Worth Deep Reading** — List 2-3 pieces most worth developers/researchers reading in depth, with brief reasoning
-
-Style: English, concise and professional, preserve all original links.
-`;
-  }
-
-  return `你是 AI 行业资讯分析师。以下是 ${dateStr} 从 Hacker News 抓取的过去 24 小时内 AI 相关热门帖子（按分数降序，共 ${data.stories.length} 条）：
-
----
-
-${storiesText}
-
----
-
-请生成一份结构清晰的《Hacker News AI 社区动态日报》，要求：
-
-1. **今日速览** — 3~5 句话，概括今日 HN 社区围绕 AI 最热门的讨论方向和情绪
-
-2. **热门新闻与讨论** — 按以下分类整理，每类选取最具代表性的 2~5 条，每条包含：
-   - 标题（附原文链接）+ HN 讨论链接
-   - 分数和评论数
-   - 一句话说明：这条内容为什么值得关注，社区有何典型反应
-
-   分类：
-   - 🔬 模型与研究（新模型发布、论文、基准测试）
-   - 🛠️ 工具与工程（开源项目、框架、工程实践）
-   - 🏢 产业动态（公司新闻、融资、产品发布）
-   - 💬 观点与争议（值得关注的 Ask HN、Show HN 或热议帖子）
-
-3. **社区情绪信号** — 100~200 字，分析今日 HN AI 讨论的整体情绪和关注重点：
-   - 社区对哪类话题最活跃（高分 + 高评论）？
-   - 有无明显的争议点或共识？
-   - 与上周期相比，关注方向有无明显变化？
-
-4. **值得深读** — 列出 2~3 条今日最值得开发者/研究者深入阅读的内容，简述理由
-
-语言要求：中文，简洁专业，保留所有原文链接。
-`;
-}
+/**
+ * LLM prompt builders and item formatting.
+ */
+
+import type { RepoConfig, GitHubItem, GitHubRelease } from "./github.ts";
+import type { WebFetchResult } from "./web.ts";
+import type { TrendingData } from "./trending.ts";
+import type { HnData } from "./hn.ts";
+
+// ---------------------------------------------------------------------------
+// Types
+// ---------------------------------------------------------------------------
+
+export interface RepoDigest {
+  config: RepoConfig;
+  issues: GitHubItem[];
+  prs: GitHubItem[];
+  releases: GitHubRelease[];
+  summary: string;
+}
+
+// ---------------------------------------------------------------------------
+// Formatting
+// ---------------------------------------------------------------------------
+
+export function formatItem(item: GitHubItem, lang: "zh" | "en" = "zh"): string {
+  const labels = item.labels.map((l) => l.name).join(", ");
+  const labelStr = labels ? ` [${labels}]` : "";
+  const body = (item.body ?? "").replace(/\n/g, " ").trim().slice(0, 300);
+  const ellipsis = (item.body ?? "").length > 300 ? "..." : "";
+  const t =
+    lang === "en"
+      ? {
+          author: "Author",
+          created: "Created",
+          updated: "Updated",
+          comments: "Comments",
+          url: "URL",
+          summary: "Summary",
+        }
+      : { author: "作者", created: "创建", updated: "更新", comments: "评论", url: "链接", summary: "摘要" };
+  return [
+    `#${item.number} [${item.state.toUpperCase()}]${labelStr} ${item.title}`,
+    `  ${t.author}: @${item.user.login} | ${t.created}: ${item.created_at.slice(0, 10)} | ${t.updated}: ${item.updated_at.slice(0, 10)} | ${t.comments}: ${item.comments} | 👍: ${item.reactions?.["+1"] ?? 0}`,
+    `  ${t.url}: ${item.html_url}`,
+    `  ${t.summary}: ${body}${ellipsis}`,
+  ].join("\n");
+}
+
+// ---------------------------------------------------------------------------
+// Sampling helpers (shared)
+// ---------------------------------------------------------------------------
+
+const CLI_ISSUE_LIMIT = 30;
+const CLI_PR_LIMIT = 20;
+
+/** Sort by comment count desc, take top N. */
+function topN(items: GitHubItem[], n: number): GitHubItem[] {
+  return [...items].sort((a, b) => b.comments - a.comments).slice(0, n);
+}
+
+function sampleNote(total: number, sampled: number, lang: "zh" | "en" = "zh"): string {
+  if (lang === "en") {
+    return total > sampled
+      ? `(Total: ${total} items; showing top ${sampled} by comment count)`
+      : `(Total: ${total} items)`;
+  }
+  return total > sampled ? `（共 ${total} 条，以下展示评论数最多的 ${sampled} 条）` : `（共 ${total} 条）`;
+}
+
+// ---------------------------------------------------------------------------
+// Prompts
+// ---------------------------------------------------------------------------
+
+export function buildCliPrompt(
+  cfg: RepoConfig,
+  issues: GitHubItem[],
+  prs: GitHubItem[],
+  releases: GitHubRelease[],
+  dateStr: string,
+  lang: "zh" | "en" = "zh",
+): string {
+  const sampledIssues = topN(issues, CLI_ISSUE_LIMIT);
+  const sampledPrs = topN(prs, CLI_PR_LIMIT);
+
+  const issuesText =
+    sampledIssues.map((i) => formatItem(i, lang)).join("\n") || (lang === "en" ? "None" : "无");
+  const prsText = sampledPrs.map((p) => formatItem(p, lang)).join("\n") || (lang === "en" ? "None" : "无");
+  const releasesText = releases.length
+    ? releases.map((r) => `- ${r.tag_name}: ${r.name}\n  ${(r.body ?? "").slice(0, 300)}`).join("\n")
+    : lang === "en"
+      ? "None"
+      : "无";
+
+  const issueNote = sampleNote(issues.length, sampledIssues.length, lang);
+  const prNote = sampleNote(prs.length, sampledPrs.length, lang);
+
+  if (lang === "en") {
+    return `You are a technical analyst focused on AI developer tools. Based on the following GitHub data, generate the ${cfg.name} community digest for ${dateStr}.
+
+# Data source: github.com/${cfg.repo}
+
+## Latest Releases (last 24h)
+${releasesText}
+
+## Latest Issues (updated in last 24h)${issueNote}
+${issuesText}
+
+## Latest Pull Requests (updated in last 24h)${prNote}
+${prsText}
+
+---
+
+Generate a structured English digest with the following sections:
+
+1. **Today's Highlights** - 2-3 sentences summarizing the most important updates
+2. **Releases** - If new versions exist, summarize changes; omit if none
+3. **Hot Issues** - Pick 10 noteworthy Issues, explain why they matter and community reaction
+4. **Key PR Progress** - Pick 10 important PRs, describe features or fixes
+5. **Feature Request Trends** - Distill the most-requested feature directions from all Issues
+6. **Developer Pain Points** - Summarize recurring developer frustrations or high-frequency requests
+
+Style: concise and professional, suited for technical developers. Include GitHub links for each item.
+`;
+  }
+
+  return `你是一位专注于 AI 开发工具的技术分析师。请根据以下 GitHub 数据，生成 ${dateStr} 的 ${cfg.name} 社区动态日报。
+
+# 数据来源: github.com/${cfg.repo}
+
+## 最新 Releases（过去24小时）
+${releasesText}
+
+## 最新 Issues（过去24小时内更新）${issueNote}
+${issuesText}
+
+## 最新 Pull Requests（过去24小时内更新）${prNote}
+${prsText}
+
+---
+
+请生成一份结构清晰的中文日报，包含以下部分：
+
+1. **今日速览** - 用2-3句话概括今天最重要的动态
+2. **版本发布** - 如有新版本，总结更新内容；无则省略
+3. **社区热点 Issues** - 挑选 10 个最值得关注的 Issue，说明为什么重要、社区反应如何
+4. **重要 PR 进展** - 挑选 10 个重要的 PR，说明功能或修复内容
+5. **功能需求趋势** - 从所有 Issues 中提炼出社区最关注的功能方向（如 IDE 集成、性能、新模型支持等）
+6. **开发者关注点** - 总结开发者反馈中的痛点或高频需求
+
+语言要求：简洁专业，适合技术开发者阅读。每个条目附上 GitHub 链接。
+`;
+}
+
+const PEER_ISSUE_LIMIT = 30;
+const PEER_PR_LIMIT = 20;
+
+export function buildPeerPrompt(
+  cfg: RepoConfig,
+  issues: GitHubItem[],
+  prs: GitHubItem[],
+  releases: GitHubRelease[],
+  dateStr: string,
+  issueLimit = PEER_ISSUE_LIMIT,
+  prLimit = PEER_PR_LIMIT,
+  lang: "zh" | "en" = "zh",
+): string {
+  const totalIssues = issues.length;
+  const totalPrs = prs.length;
+
+  const sampledIssues = topN(issues, issueLimit);
+  const sampledPrs = topN(prs, prLimit);
+
+  const noneStr = lang === "en" ? "None" : "无";
+  const issuesText = sampledIssues.map((i) => formatItem(i, lang)).join("\n") || noneStr;
+  const prsText = sampledPrs.map((p) => formatItem(p, lang)).join("\n") || noneStr;
+  const releasesText = releases.length
+    ? releases.map((r) => `- ${r.tag_name}: ${r.name}\n  ${(r.body ?? "").slice(0, 300)}`).join("\n")
+    : noneStr;
+
+  const openIssues = issues.filter((i) => i.state === "open").length;
+  const closedIssues = issues.filter((i) => i.state === "closed").length;
+  const openPrs = prs.filter((p) => p.state === "open").length;
+  const mergedPrs = prs.filter((p) => p.state === "closed").length;
+
+  const issueSampleNote = sampleNote(totalIssues, sampledIssues.length, lang);
+  const prSampleNote = sampleNote(totalPrs, sampledPrs.length, lang);
+
+  if (lang === "en") {
+    return `You are an analyst of AI agent and personal AI assistant open-source projects. Based on the following GitHub data from ${cfg.name} (github.com/${cfg.repo}), generate a project digest for ${dateStr}.
+
+# Data Overview
+- Issues updated in last 24h: ${totalIssues} (open/active: ${openIssues}, closed: ${closedIssues})
+- PRs updated in last 24h: ${totalPrs} (open: ${openPrs}, merged/closed: ${mergedPrs})
+- New releases: ${releases.length}
+
+## Latest Releases
+${releasesText}
+
+## Latest Issues ${issueSampleNote}
+${issuesText}
+
+## Latest Pull Requests ${prSampleNote}
+${prsText}
+
+---
+
+Generate a structured English ${cfg.name} project digest with the following sections:
+
+1. **Today's Overview** - 3-5 sentences summarizing project status, including activity assessment
+2. **Releases** - If new versions exist, detail changes, breaking changes, migration notes; omit if none
+3. **Project Progress** - Merged/closed PRs today, what features advanced or were fixed
+4. **Community Hot Topics** - Most active Issues/PRs with most comments/reactions (with links), analyze underlying needs
+5. **Bugs & Stability** - Bugs, crashes, regressions reported today, ranked by severity, note if fix PRs exist
+6. **Feature Requests & Roadmap Signals** - User-requested features, predict which might be in next version
+7. **User Feedback Summary** - Real user pain points, use cases, satisfaction/dissatisfaction
+8. **Backlog Watch** - Long-unanswered important Issues or PRs needing maintainer attention
+
+Style: objective, data-driven, highlighting project health. Include GitHub links for each item.
+`;
+  }
+
+  return `你是一位 AI 智能体与个人 AI 助手领域开源项目分析师。请根据以下来自 ${cfg.name} (github.com/${cfg.repo}) 的 GitHub 数据，生成 ${dateStr} 的项目动态日报。
+
+# 数据概览
+- 过去24小时 Issues 更新：${totalIssues} 条（新开/活跃: ${openIssues}，已关闭: ${closedIssues}）
+- 过去24小时 PR 更新：${totalPrs} 条（待合并: ${openPrs}，已合并/关闭: ${mergedPrs}）
+- 新版本发布：${releases.length} 个
+
+## 最新 Releases
+${releasesText}
+
+## 最新 Issues ${issueSampleNote}
+${issuesText}
+
+## 最新 Pull Requests ${prSampleNote}
+${prsText}
+
+---
+
+请生成一份结构清晰的 ${cfg.name} 项目日报，包含以下部分：
+
+1. **今日速览** - 用3-5句话概括项目今日整体状态，包括活跃度评估
+2. **版本发布** - 如有新版本，详细说明更新内容、破坏性变更、迁移注意事项；无则省略
+3. **项目进展** - 今日合并/关闭的重要 PR，说明推进了哪些功能或修复，项目整体向前迈进了多少
+4. **社区热点** - 今日讨论最活跃、评论最多、反应最多的 Issues/PRs（附链接），分析背后的诉求
+5. **Bug 与稳定性** - 今日报告的 Bug、崩溃、回归问题，按严重程度排列，标注是否已有 fix PR
+6. **功能请求与路线图信号** - 用户提出的新功能需求，结合已有 PR 判断哪些可能被纳入下一版本
+7. **用户反馈摘要** - 从 Issues 评论中提炼真实用户痛点、使用场景、满意/不满意的地方
+8. **待处理积压** - 长期未响应的重要 Issue 或 PR，提醒维护者关注
+
+语言要求：客观专业，数据驱动，突出项目健康度。每个条目附上 GitHub 链接。
+`;
+}
+
+export function buildPeersComparisonPrompt(
+  openclawDigest: RepoDigest,
+  peerDigests: RepoDigest[],
+  dateStr: string,
+  lang: "zh" | "en" = "zh",
+): string {
+  const noActivityStr = lang === "en" ? "No activity in the last 24 hours." : "过去24小时无活动。";
+
+  const openclawSection =
+    lang === "en"
+      ? `## OpenClaw (core reference, github.com/${openclawDigest.config.repo})\n${openclawDigest.summary}`
+      : `## OpenClaw（核心参照，github.com/${openclawDigest.config.repo}）\n${openclawDigest.summary}`;
+
+  const peerSections = peerDigests
+    .map((d) => {
+      const hasData = d.issues.length || d.prs.length || d.releases.length;
+      if (!hasData) return `## ${d.config.name} (github.com/${d.config.repo})\n${noActivityStr}`;
+      return `## ${d.config.name} (github.com/${d.config.repo})\n${d.summary}`;
+    })
+    .join("\n\n---\n\n");
+
+  if (lang === "en") {
+    return `You are a senior analyst of the AI agent and personal AI assistant open-source ecosystem. The following are ${dateStr} community digest summaries for each project.
+
+${openclawSection}
+
+---
+
+${peerSections}
+
+---
+
+Generate a cross-project comparison report in English with these sections:
+
+1. **Ecosystem Overview** - 3-5 sentences on the overall personal AI assistant / agent open-source landscape
+2. **Activity Comparison** - Table comparing Issues count, PR count, Release status, and health score for each project
+3. **OpenClaw's Position** - Advantages vs peers, technical approach differences, community size comparison
+4. **Shared Technical Focus Areas** - Requirements emerging across multiple projects (note which projects, specific needs)
+5. **Differentiation Analysis** - Key differences in feature focus, target users, technical architecture
+6. **Community Momentum & Maturity** - Activity tiers, which are rapidly iterating, which are stabilizing
+7. **Trend Signals** - Industry trends extracted from community feedback, value for AI agent developers
+
+Style: concise and professional, data-backed, suited for technical decision-makers and developers.
+`;
+  }
+
+  return `你是一位专注于 AI 智能体与个人 AI 助手开源生态的资深技术分析师。以下是 ${dateStr} 各开源项目的社区动态摘要。
+
+${openclawSection}
+
+---
+
+${peerSections}
+
+---
+
+请基于上述各项目的动态，生成一份横向对比分析报告，包含以下部分：
+
+1. **生态全景** - 用3-5句话概括个人 AI 助手/自主智能体开源生态整体态势
+2. **各项目活跃度对比** - 以表格形式汇总各项目今日的 Issues 数、PR 数、Release 情况及健康度评估
+3. **OpenClaw 在生态中的定位** - 与同类相比的优势、技术路线差异、社区规模对比
+4. **共同关注的技术方向** - 多项目共同涌现的需求（注明涉及哪些项目、具体诉求）
+5. **差异化定位分析** - 功能侧重、目标用户、技术架构的关键差异
+6. **社区热度与成熟度** - 活跃度分层，哪些处于快速迭代阶段，哪些在质量巩固阶段
+7. **值得关注的趋势信号** - 从社区反馈中提炼行业趋势，对 AI 智能体开发者的参考价值
+
+语言要求：简洁专业，有数据支撑，适合技术决策者和开发者阅读。
+`;
+}
+
+export function buildSkillsPrompt(
+  prs: GitHubItem[],
+  issues: GitHubItem[],
+  dateStr: string,
+  lang: "zh" | "en" = "zh",
+): string {
+  const topPrs = topN(prs, 20);
+  const topIssues = topN(issues, 15);
+
+  const noneStr = lang === "en" ? "None" : "无";
+  const prsText = topPrs.map((p) => formatItem(p, lang)).join("\n") || noneStr;
+  const issuesText = topIssues.map((i) => formatItem(i, lang)).join("\n") || noneStr;
+
+  if (lang === "en") {
+    return `You are a technical analyst focused on the Claude Code ecosystem. The following data is from github.com/anthropics/skills (official Claude Code Skills repository). Analyze the community's most-watched Skills activity (data as of ${dateStr}).
+
+## Repository Context
+anthropics/skills is the official Claude Code Skills collection. Each PR typically represents a new or improved Skill. The community proposes new Skills and reports issues via Issues; PRs represent actual Skill submissions.
+
+## Popular Pull Requests (sorted by comments, ${prs.length} total, showing top ${topPrs.length})
+${prsText}
+
+## Community Issues (sorted by comments, ${issues.length} total, showing top ${topIssues.length})
+${issuesText}
+
+---
+
+Generate a Claude Code Skills community highlights report in English with these sections:
+
+1. **Top Skills Ranking** - List the 5-8 most-discussed Skills (PRs) by comments/attention, describe each Skill's functionality, discussion highlights, and current status (open/merged/draft)
+2. **Community Demand Trends** - From Issues, distill the most-anticipated new Skill directions (e.g. workflow automation, code review, test generation, documentation)
+3. **High-Potential Pending Skills** - Active-comment PRs not yet merged; these Skills may land soon
+4. **Skills Ecosystem Insight** - One-sentence summary: what is the community's most concentrated demand at the Skills level?
+
+Style: concise and professional, include GitHub links for each item.
+`;
+  }
+
+  return `你是一位专注于 Claude Code 生态的技术分析师。以下是来自 github.com/anthropics/skills（Claude Code Skills 官方仓库）的数据，请分析社区最关注的 Skills 动态（数据截止 ${dateStr}）。
+
+## 仓库说明
+anthropics/skills 是 Claude Code 官方 Skills 集合仓库，每个 PR 通常对应一个新增或改进的 Skill。社区通过 Issues 提出新 Skill 需求或反馈问题，PR 则代表实际提交的 Skill。
+
+## 热门 Pull Requests（按评论数排序，共 ${prs.length} 条，展示前 ${topPrs.length} 条）
+${prsText}
+
+## 社区 Issues（按评论数排序，共 ${issues.length} 条，展示前 ${topIssues.length} 条）
+${issuesText}
+
+---
+
+请生成一份 Claude Code Skills 社区热点报告，包含以下部分：
+
+1. **热门 Skills 排行** - 列出评论/关注度最高的 5~8 个 Skills（PR），说明每个 Skill 的功能、社区讨论热点及当前状态（open/merged/draft）
+2. **社区需求趋势** - 从 Issues 中提炼社区最期待的新 Skill 方向（如工作流自动化、代码审查、测试生成、文档等）
+3. **高潜力待合并 Skills** - 评论活跃但尚未合并的 PR，这些 Skills 可能近期落地
+4. **Skills 生态洞察** - 一句话总结：当前社区在 Skills 层面最集中的诉求是什么
+
+语言要求：简洁专业，每个条目附上 GitHub 链接。
+`;
+}
+
+export function buildComparisonPrompt(
+  digests: RepoDigest[],
+  dateStr: string,
+  lang: "zh" | "en" = "zh",
+): string {
+  const noActivityStr = lang === "en" ? "No activity in the last 24 hours." : "过去24小时无活动。";
+
+  const sections = digests
+    .map((d) => {
+      const hasData = d.issues.length || d.prs.length || d.releases.length;
+      if (!hasData) return `## ${d.config.name} (github.com/${d.config.repo})\n${noActivityStr}`;
+      return `## ${d.config.name} (github.com/${d.config.repo})\n${d.summary}`;
+    })
+    .join("\n\n---\n\n");
+
+  if (lang === "en") {
+    return `You are a senior technical analyst of the AI developer tools ecosystem. The following are ${dateStr} community digest summaries for each major AI CLI tool:
+
+${sections}
+
+---
+
+Generate a cross-tool comparison report in English with these sections:
+
+1. **Ecosystem Overview** - 3-5 sentences on the overall AI CLI tools development landscape
+2. **Activity Comparison** - Table comparing Issues count, PR count, Release status for each tool today
+3. **Shared Feature Directions** - Requirements appearing across multiple tool communities (note which tools, specific needs)
+4. **Differentiation Analysis** - Differences in feature focus, target users, and technical approach
+5. **Community Momentum & Maturity** - Which tools have more active communities, which are rapidly iterating
+6. **Trend Signals** - Industry trends from community feedback, reference value for developers
+
+Style: concise and professional, data-backed, suited for technical decision-makers and developers.
+`;
+  }
+
+  return `你是一位专注于 AI 开发工具生态的资深技术分析师。以下是 ${dateStr} 各主流 AI CLI 工具的社区动态摘要：
+
+${sections}
+
+---
+
+请基于上述各工具的动态，生成一份横向对比分析报告，包含以下部分：
+
+1. **生态全景** - 用3-5句话概括当前 AI CLI 工具整体发展态势
+2. **各工具活跃度对比** - 以表格形式汇总各工具今日的 Issues 数、PR 数、Release 情况
+3. **共同关注的功能方向** - 多个工具社区都在关注的需求（说明哪些工具、具体诉求）
+4. **差异化定位分析** - 各工具在功能侧重、目标用户、技术路线上的差异
+5. **社区热度与成熟度** - 哪些工具社区更活跃，哪些处于快速迭代阶段
+6. **值得关注的趋势信号** - 从社区反馈中提炼出的行业趋势，对开发者有何参考价值
+
+语言要求：简洁专业，有数据支撑，适合技术决策者和开发者阅读。
+`;
+}
+
+export function buildTrendingPrompt(data: TrendingData, dateStr: string, lang: "zh" | "en" = "zh"): string {
+  const trendingSection =
+    data.trendingFetchSuccess && data.trendingRepos.length > 0
+      ? data.trendingRepos
+          .map(
+            (r) =>
+              `- [${r.fullName}](${r.url})` +
+              (r.language ? ` [${r.language}]` : "") +
+              ` ⭐${r.totalStars.toLocaleString()}` +
+              (r.todayStars > 0 ? ` (+${r.todayStars} today)` : "") +
+              (r.forks > 0 ? ` 🍴${r.forks.toLocaleString()}` : "") +
+              (r.description ? `\n  ${r.description}` : ""),
+          )
+          .join("\n")
+      : lang === "en"
+        ? "(Unable to fetch today's GitHub Trending list)"
+        : "（未能抓取今日 GitHub Trending 榜单）";
+
+  const searchSection =
+    data.searchRepos.length > 0
+      ? data.searchRepos
+          .map(
+            (r) =>
+              `- [${r.fullName}](${r.url})` +
+              (r.language ? ` [${r.language}]` : "") +
+              ` ⭐${r.stargazersCount.toLocaleString()}` +
+              ` [topic:${r.searchQuery}]` +
+              (r.description ? `\n  ${r.description}` : ""),
+          )
+          .join("\n")
+      : lang === "en"
+        ? "(No search results)"
+        : "（无搜索结果）";
+
+  if (lang === "en") {
+    return `You are a technical analyst focused on the AI open-source ecosystem. The following is ${dateStr} GitHub AI-related trending repository data. Please filter for AI relevance, categorize, and analyze trends.
+
+## Data Sources
+- **Trending List** (github.com/trending, today's stars most reliable): Real-time hot list with today's new stars
+- **Topic Search** (GitHub Search API, topic tags): AI-related projects active in last 7 days, grouped by topic
+
+---
+
+## GitHub Today's Trending (${data.trendingRepos.length} repositories)
+${trendingSection}
+
+---
+
+## AI Topic Search Results (${data.searchRepos.length} repositories, deduplicated)
+${searchSection}
+
+---
+
+Generate a structured AI Open Source Trends Report in English:
+
+**Step 1 (Filter)**: From the above data, select projects clearly related to AI/ML (exclude unrelated general tools, frontend frameworks, games, etc.). Skip non-AI trending repos.
+
+**Step 2 (Categorize)**: Group filtered projects into these categories (a project can belong to multiple; pick the primary one):
+- 🔧 AI Infrastructure (frameworks, SDKs, inference engines, dev tools, CLI)
+- 🤖 AI Agents / Workflows (agent frameworks, automation, multi-agent systems)
+- 📦 AI Applications (specific apps, vertical solutions)
+- 🧠 LLMs / Training (model weights, training frameworks, fine-tuning tools)
+- 🔍 RAG / Knowledge (vector databases, retrieval-augmented generation, knowledge management)
+
+**Step 3 (Output Report)** with these sections:
+
+1. **Today's Highlights** — 3-5 sentences on the most noteworthy AI open-source developments today
+
+2. **Top Projects by Category** — For each category, list 3-8 representative projects, each with:
+   - Project name (with link)
+   - Stars data (total + today's new, if available)
+   - One sentence: what it is and why it's worth attention today
+
+3. **Trend Signal Analysis** — 200-300 words, distill from today's hot list:
+   - Which type of AI tool is getting explosive community attention?
+   - Any new tech stacks or directions appearing for the first time?
+   - Connection to recent LLM releases / industry events
+
+4. **Community Hot Spots** — Bullet list of 3-5 specific projects or directions worth developer focus, with brief reasoning
+
+Style: English, professional and concise, must include GitHub links for every project.
+`;
+  }
+
+  return `你是一位专注于 AI 开源生态的技术分析师。以下是 ${dateStr} 的 GitHub AI 相关热门仓库数据，请进行 AI 相关性筛选、分类和趋势分析。
+
+## 数据说明
+- **Trending 榜单**（github.com/trending，今日 stars 数最可信）：今日实时热榜，含今日新增 stars
+- **主题搜索**（GitHub Search API，topic 标签）：7天内活跃的 AI 相关项目，按主题分类
+
+---
+
+## GitHub 今日 Trending 榜单（共 ${data.trendingRepos.length} 个仓库）
+${trendingSection}
+
+---
+
+## AI 主题搜索结果（共 ${data.searchRepos.length} 个仓库，已去重）
+${searchSection}
+
+---
+
+请生成一份结构清晰的《AI 开源趋势日报》，要求：
+
+**第一步（过滤）**：从以上数据中筛选出与 AI/ML 明确相关的项目（排除与 AI 无关的通用工具、前端框架、游戏等），对于 Trending 榜单中的非 AI 项目直接略去。
+
+**第二步（分类）**：将筛选后的项目按以下维度分类（一个项目可归入多类，优先归入最主要类别）：
+- 🔧 AI 基础工具（框架、SDK、推理引擎、开发工具、CLI）
+- 🤖 AI 智能体/工作流（Agent 框架、自动化、多智能体）
+- 📦 AI 应用（具体应用产品、垂直场景解决方案）
+- 🧠 大模型/训练（模型权重、训练框架、微调工具）
+- 🔍 RAG/知识库（向量数据库、检索增强、知识管理）
+
+**第三步（输出报告）**，包含以下部分：
+
+1. **今日速览** — 3~5 句话概括今日 AI 开源领域最值得关注的动向
+
+2. **各维度热门项目** — 每个维度列出 3~8 个代表项目，每项包含：
+   - 项目名（附链接）
+   - stars 数据（总量 + 今日新增，如有）
+   - 一句话说明：这个项目是什么，为什么今天值得关注
+
+3. **趋势信号分析** — 200~300 字，从今日热榜中提炼：
+   - 哪类 AI 工具正在获得社区爆发性关注？
+   - 有无新兴技术栈或方向首次登榜？
+   - 与近期大模型发布/行业事件的关联
+
+4. **社区关注热点** — 以 bullet 形式列出 3~5 个值得开发者重点关注的具体项目或方向，给出简短理由
+
+语言要求：中文，专业简洁，每个项目必须附 GitHub 链接。
+`;
+}
+
+export function buildWebReportPrompt(
+  results: WebFetchResult[],
+  dateStr: string,
+  lang: "zh" | "en" = "zh",
+): string {
+  const isAnyFirstRun = results.some((r) => r.isFirstRun);
+
+  const siteSections = results
+    .map(({ siteName, isFirstRun, newItems, totalDiscovered }) => {
+      const mode =
+        lang === "en"
+          ? isFirstRun
+            ? `First full crawl (sitemap total ${totalDiscovered} URLs, showing latest ${newItems.length} articles)`
+            : `Incremental update, ${newItems.length} new articles today`
+          : isFirstRun
+            ? `首次全量抓取（sitemap 共 ${totalDiscovered} 条 URL，以下为最新 ${newItems.length} 篇正文内容）`
+            : `今日增量更新，共 ${newItems.length} 篇新内容`;
+
+      if (newItems.length === 0) return `## ${siteName}\n\n（${mode}，暂无可供分析的内容。）`;
+
+      const unableToExtract = lang === "en" ? "(Unable to extract text content)" : "（无法提取文本内容）";
+      const itemsText = newItems
+        .map((item) =>
+          [
+            `### [${item.title || item.url}](${item.url})`,
+            `- 分类: ${item.category} | 发布/更新: ${item.lastmod.slice(0, 10) || "未知"}`,
+            `- 内容节选: ${item.content || unableToExtract}`,
+          ].join("\n"),
+        )
+        .join("\n\n");
+
+      return `## ${siteName}（${mode}）\n\n${itemsText}`;
+    })
+    .join("\n\n---\n\n");
+
+  const firstRunNote =
+    lang === "en"
+      ? isAnyFirstRun
+        ? "This is the first full crawl. Please focus on the overall content landscape, historical context, and core themes of each site, rather than individual articles."
+        : "This is an incremental update. Please focus on today's new content and assess its strategic significance in context."
+      : isAnyFirstRun
+        ? "本次为首次全量抓取，请重点梳理各站点的内容格局、历史脉络与核心主题，而非仅关注单篇文章。"
+        : "本次为增量更新，请聚焦今日新增内容，并结合上下文判断其战略意义。";
+
+  if (lang === "en") {
+    return `You are a deep content analyst focused on AI, skilled at extracting strategic signals from official announcements, technical blogs, research papers, and product documentation.
+
+The following content was crawled on ${dateStr} from Anthropic (claude.com / anthropic.com) and OpenAI (openai.com). ${firstRunNote}
+
+${siteSections}
+
+---
+
+Generate a detailed AI Official Content Tracking Report in English with these sections:
+
+1. **Today's Highlights** — 3-5 sentences on the most important new releases or developments, calling out key highlights
+
+2. **Anthropic / Claude Content Highlights** — Organize important content by category (news / research / engineering / learn, etc.):
+   - For each piece, 2-4 sentences extracting core insights, technical details, or business significance
+   - Note publication date and original link
+   - If first full crawl, trace important milestones chronologically
+
+3. **OpenAI Content Highlights** — Same structure, organized by research / release / company / safety categories
+
+4. **Strategic Signal Analysis** — Based on both companies' release cadence and content focus, analyze:
+   - Each company's recent technical priorities (model capabilities / safety / productization / ecosystem)
+   - Competitive dynamics: who is setting the agenda, who is following
+   - Potential impact on developers and enterprise users
+
+5. **Notable Details** — Extract hidden signals from titles, phrasing, and timing, e.g.:
+   - New terms or topics appearing for the first time
+   - Dense releases in a category (may signal a product milestone)
+   - Policy, compliance, and safety developments
+
+${isAnyFirstRun ? "6. **Content Landscape Overview** — First full crawl only: summarize the content category distribution for both companies and describe their content strategy style (academic-oriented vs product-oriented vs user stories, etc.)\n\n" : ""}Style: English, professional and detailed, suited for AI researchers, product managers, and technical decision-makers. Every item must include official links.
+`;
+  }
+
+  return `你是一位专注于 AI 领域的深度内容分析师，擅长从官方公告、技术博客、研究论文和产品文档中提炼战略信号。
+
+以下是 ${dateStr} 从 Anthropic（claude.com / anthropic.com）和 OpenAI（openai.com）官网抓取的内容，${firstRunNote}
+
+${siteSections}
+
+---
+
+请生成一份详实的《AI 官方内容追踪报告》，包含以下部分：
+
+1. **今日速览** — 3~5 句话概括最重要的新发布或动向，点出核心亮点
+
+2. **Anthropic / Claude 内容精选** — 按分类（news / research / engineering / learn 等）逐条整理重要内容：
+   - 每篇用 2~4 句话提炼核心观点、技术细节或业务意义
+   - 标注发布日期和原文链接
+   - 如首次全量，按时间线梳理重要里程碑
+
+3. **OpenAI 内容精选** — 同上，按 research / release / company / safety 等分类整理
+
+4. **战略信号解读** — 基于两家公司的发布节奏和内容重点，分析：
+   - 各自近期的技术优先级（模型能力 / 安全 / 产品化 / 生态）
+   - 竞争态势：谁在引领议题，谁在跟进
+   - 对开发者和企业用户的潜在影响
+
+5. **值得关注的细节** — 从标题、措辞、发布时机中提取隐含信号，例如：
+   - 新兴词汇或话题的首次出现
+   - 某类主题的密集发布（可能预示产品节点）
+   - 政策、合规、安全方面的动向
+
+${isAnyFirstRun ? "6. **内容格局总览** — 首次全量独有：汇总两家公司各内容类别的数量分布，并说明各自的内容运营风格（学术导向 vs 产品导向 vs 用户故事等）\n\n" : ""}语言要求：中文，专业深入，内容详实，适合 AI 领域研究者、产品经理和技术决策者阅读。每个条目必须附上 GitHub/官网链接。
+`;
+}
+
+export function buildWeeklyPrompt(
+  dailyDigests: Record<string, string>,
+  weekStr: string,
+  lang: "zh" | "en" = "zh",
+): string {
+  const digestEntries = Object.entries(dailyDigests)
+    .map(([date, content]) => `## ${date}\n\n${content}`)
+    .join("\n\n---\n\n");
+
+  if (lang === "en") {
+    return `You are a technical analyst focused on the AI open-source ecosystem. The following are daily digest summaries from the past 7 days (${weekStr}) of AI tool community activity. Generate a comprehensive weekly recap.
+
+${digestEntries}
+
+---
+
+Generate an AI Tools Ecosystem Weekly Report with these sections:
+
+1. **Week's Top Stories** - 5-8 most important events, releases, and community developments this week, each with date
+2. **CLI Tools Progress** - Overall activity and key changes for each AI CLI tool (Claude Code, Codex, Gemini CLI, etc.)
+3. **AI Agent Ecosystem** - Key developments from OpenClaw and peer projects this week
+4. **Open Source Trends** - Most notable technical directions from GitHub Trending and AI community this week
+5. **HN Community Highlights** - Core AI discussion topics and community sentiment on Hacker News this week
+6. **Official Announcements** - Important content published by Anthropic and OpenAI this week (if any)
+7. **Next Week's Signals** - Based on this week's data, predict trends and upcoming events worth watching
+
+Style: English, concise and professional, helping technical developers quickly grasp the week's developments.
+`;
+  }
+
+  return `你是一位专注于 AI 开源生态的技术分析师。以下是过去 7 天（${weekStr}）的 AI 工具社区每日动态摘要，请生成本周综合回顾报告。
+
+${digestEntries}
+
+---
+
+请生成《AI 工具生态周报》，包含以下部分：
+
+1. **本周要闻** - 5-8 条本周最重要的事件、版本发布、社区动向，每条附日期
+2. **CLI 工具进展** - 各 AI CLI 工具（Claude Code、Codex、Gemini CLI 等）本周整体动态与关键变化
+3. **AI Agent 生态** - OpenClaw 及同赛道项目的本周重要进展
+4. **开源趋势** - 本周 GitHub Trending 和 AI 社区最关注的技术方向
+5. **HN 社区热议** - 本周 Hacker News AI 讨论的核心话题与社区情绪
+6. **官方动态** - Anthropic 和 OpenAI 本周发布的重要内容（若有）
+7. **下周信号** - 基于本周数据，预判值得关注的趋势或即将到来的事件
+
+语言要求：中文，简洁专业，适合技术开发者快速掌握一周动态。
+`;
+}
+
+export function buildMonthlyPrompt(
+  sourceDigests: Record<string, string>,
+  monthStr: string,
+  lang: "zh" | "en" = "zh",
+): string {
+  const digestEntries = Object.entries(sourceDigests)
+    .map(([key, content]) => `## ${key}\n\n${content}`)
+    .join("\n\n---\n\n");
+
+  if (lang === "en") {
+    return `You are a technical analyst focused on the AI open-source ecosystem. The following are ${monthStr} AI tool community digest summaries (${Object.keys(sourceDigests).length} reports total). Generate a comprehensive monthly review.
+
+${digestEntries}
+
+---
+
+Generate an AI Tools Ecosystem Monthly Report with these sections:
+
+1. **Month's Top Stories** - 5-10 most important events and milestones this month, in chronological order
+2. **CLI Tools Monthly Progress** - Overall development trajectory, major releases, and community growth for each key AI CLI tool
+3. **AI Agent Ecosystem Monthly Review** - Ecosystem landscape shifts, emerging projects, notable signals this month
+4. **Technical Trend Summary** - Most significant technical directions and paradigm shifts in AI open-source this month
+5. **Community Health Assessment** - Monthly activity comparison across major projects, developer engagement evaluation
+6. **Official Announcements Review** - Strategic analysis of Anthropic and OpenAI content published this month
+7. **Next Month's Outlook** - Based on this month's trends, predict key directions and potential events to watch
+
+Style: English, in-depth analysis, data-driven, suited for monthly retrospectives and strategic decision-making.
+`;
+  }
+
+  return `你是一位专注于 AI 开源生态的技术分析师。以下是 ${monthStr} 月的 AI 工具社区动态汇总（共 ${Object.keys(sourceDigests).length} 份报告），请生成本月综合回顾报告。
+
+${digestEntries}
+
+---
+
+请生成《AI 工具生态月报》，包含以下部分：
+
+1. **月度要闻** - 本月最重要的 5-10 条事件和里程碑，按时间排列
+2. **CLI 工具月度进展** - 各主要 AI CLI 工具本月整体发展轨迹、重要版本、社区规模变化
+3. **AI Agent 生态月报** - 本月生态格局变化、新兴项目、值得关注的信号
+4. **技术趋势总结** - 本月 AI 开源领域最显著的技术方向与范式变化
+5. **社区生态健康度** - 各主要项目月度活跃度对比、开发者参与度评估
+6. **官方动态回顾** - Anthropic 和 OpenAI 本月发布内容的战略意义分析
+7. **下月展望** - 基于本月趋势，预判值得重点关注的方向和潜在事件
+
+语言要求：中文，深度分析，数据驱动，适合月度复盘和战略决策参考。
+`;
+}
+
+export function buildHnPrompt(data: HnData, dateStr: string, lang: "zh" | "en" = "zh"): string {
+  const storiesText = data.stories
+    .map((s, i) =>
+      lang === "en"
+        ? `${i + 1}. **${s.title}**\n` +
+          `   Link: ${s.url}\n` +
+          `   Discussion: ${s.hnUrl}\n` +
+          `   Score: ${s.points} | Comments: ${s.comments} | Author: @${s.author} | 时间: ${s.createdAt.slice(0, 16)}`
+        : `${i + 1}. **${s.title}**\n` +
+          `   链接: ${s.url}\n` +
+          `   讨论: ${s.hnUrl}\n` +
+          `   分数: ${s.points} | 评论: ${s.comments} | 作者: @${s.author} | 时间: ${s.createdAt.slice(0, 16)}`,
+    )
+    .join("\n\n");
+
+  if (lang === "en") {
+    return `You are an AI industry news analyst. The following are AI-related top posts from Hacker News in the past 24 hours as of ${dateStr} (sorted by score, ${data.stories.length} total):
+
+---
+
+${storiesText}
+
+---
+
+Generate a structured Hacker News AI Community Digest in English:
+
+1. **Today's Highlights** — 3-5 sentences on the hottest AI discussion topics and community sentiment on HN today
+
+2. **Top News & Discussions** — Organized by category, select the 2-5 most representative items per category, each with:
+   - Title (with original link) + HN discussion link
+   - Score and comment count
+   - One sentence: why this matters, what the community's typical reaction is
+
+   Categories:
+   - 🔬 Models & Research (new model releases, papers, benchmarks)
+   - 🛠️ Tools & Engineering (open-source projects, frameworks, engineering practices)
+   - 🏢 Industry News (company news, funding, product launches)
+   - 💬 Opinions & Debates (notable Ask HN, Show HN, or hot discussion threads)
+
+3. **Community Sentiment Signal** — 100-200 words analyzing today's HN AI discussion mood and focus:
+   - Which topics are most active (high score + high comments)?
+   - Any clear points of controversy or consensus?
+   - Compared to last cycle, any notable shift in focus?
+
+4. **Worth Deep Reading** — List 2-3 pieces most worth developers/researchers reading in depth, with brief reasoning
+
+Style: English, concise and professional, preserve all original links.
+`;
+  }
+
+  return `你是 AI 行业资讯分析师。以下是 ${dateStr} 从 Hacker News 抓取的过去 24 小时内 AI 相关热门帖子（按分数降序，共 ${data.stories.length} 条）：
+
+---
+
+${storiesText}
+
+---
+
+请生成一份结构清晰的《Hacker News AI 社区动态日报》，要求：
+
+1. **今日速览** — 3~5 句话，概括今日 HN 社区围绕 AI 最热门的讨论方向和情绪
+
+2. **热门新闻与讨论** — 按以下分类整理，每类选取最具代表性的 2~5 条，每条包含：
+   - 标题（附原文链接）+ HN 讨论链接
+   - 分数和评论数
+   - 一句话说明：这条内容为什么值得关注，社区有何典型反应
+
+   分类：
+   - 🔬 模型与研究（新模型发布、论文、基准测试）
+   - 🛠️ 工具与工程（开源项目、框架、工程实践）
+   - 🏢 产业动态（公司新闻、融资、产品发布）
+   - 💬 观点与争议（值得关注的 Ask HN、Show HN 或热议帖子）
+
+3. **社区情绪信号** — 100~200 字，分析今日 HN AI 讨论的整体情绪和关注重点：
+   - 社区对哪类话题最活跃（高分 + 高评论）？
+   - 有无明显的争议点或共识？
+   - 与上周期相比，关注方向有无明显变化？
+
+4. **值得深读** — 列出 2~3 条今日最值得开发者/研究者深入阅读的内容，简述理由
+
+语言要求：中文，简洁专业，保留所有原文链接。
+`;
+}

From e9e5f67eb72583e4e9c7cb8e3ee2f71454cb6f41 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E9=BB=84=E4=BA=91=E9=BE=99?=
 <76432572+nankingjing@users.noreply.github.com>
Date: Tue, 14 Jul 2026 09:30:03 +0800
Subject: [PATCH 3/4] fix(prompts): avoid extra space before Chinese section
 parentheses

---
 src/prompts.ts | 1736 ++++++++++++++++++++++++------------------------
 1 file changed, 868 insertions(+), 868 deletions(-)

diff --git a/src/prompts.ts b/src/prompts.ts
index 7cb8de8..a5e303a 100644
--- a/src/prompts.ts
+++ b/src/prompts.ts
@@ -1,868 +1,868 @@
-/**
- * LLM prompt builders and item formatting.
- */
-
-import type { RepoConfig, GitHubItem, GitHubRelease } from "./github.ts";
-import type { WebFetchResult } from "./web.ts";
-import type { TrendingData } from "./trending.ts";
-import type { HnData } from "./hn.ts";
-
-// ---------------------------------------------------------------------------
-// Types
-// ---------------------------------------------------------------------------
-
-export interface RepoDigest {
-  config: RepoConfig;
-  issues: GitHubItem[];
-  prs: GitHubItem[];
-  releases: GitHubRelease[];
-  summary: string;
-}
-
-// ---------------------------------------------------------------------------
-// Formatting
-// ---------------------------------------------------------------------------
-
-export function formatItem(item: GitHubItem, lang: "zh" | "en" = "zh"): string {
-  const labels = item.labels.map((l) => l.name).join(", ");
-  const labelStr = labels ? ` [${labels}]` : "";
-  const body = (item.body ?? "").replace(/\n/g, " ").trim().slice(0, 300);
-  const ellipsis = (item.body ?? "").length > 300 ? "..." : "";
-  const t =
-    lang === "en"
-      ? {
-          author: "Author",
-          created: "Created",
-          updated: "Updated",
-          comments: "Comments",
-          url: "URL",
-          summary: "Summary",
-        }
-      : { author: "作者", created: "创建", updated: "更新", comments: "评论", url: "链接", summary: "摘要" };
-  return [
-    `#${item.number} [${item.state.toUpperCase()}]${labelStr} ${item.title}`,
-    `  ${t.author}: @${item.user.login} | ${t.created}: ${item.created_at.slice(0, 10)} | ${t.updated}: ${item.updated_at.slice(0, 10)} | ${t.comments}: ${item.comments} | 👍: ${item.reactions?.["+1"] ?? 0}`,
-    `  ${t.url}: ${item.html_url}`,
-    `  ${t.summary}: ${body}${ellipsis}`,
-  ].join("\n");
-}
-
-// ---------------------------------------------------------------------------
-// Sampling helpers (shared)
-// ---------------------------------------------------------------------------
-
-const CLI_ISSUE_LIMIT = 30;
-const CLI_PR_LIMIT = 20;
-
-/** Sort by comment count desc, take top N. */
-function topN(items: GitHubItem[], n: number): GitHubItem[] {
-  return [...items].sort((a, b) => b.comments - a.comments).slice(0, n);
-}
-
-function sampleNote(total: number, sampled: number, lang: "zh" | "en" = "zh"): string {
-  if (lang === "en") {
-    return total > sampled
-      ? `(Total: ${total} items; showing top ${sampled} by comment count)`
-      : `(Total: ${total} items)`;
-  }
-  return total > sampled ? `（共 ${total} 条，以下展示评论数最多的 ${sampled} 条）` : `（共 ${total} 条）`;
-}
-
-// ---------------------------------------------------------------------------
-// Prompts
-// ---------------------------------------------------------------------------
-
-export function buildCliPrompt(
-  cfg: RepoConfig,
-  issues: GitHubItem[],
-  prs: GitHubItem[],
-  releases: GitHubRelease[],
-  dateStr: string,
-  lang: "zh" | "en" = "zh",
-): string {
-  const sampledIssues = topN(issues, CLI_ISSUE_LIMIT);
-  const sampledPrs = topN(prs, CLI_PR_LIMIT);
-
-  const issuesText =
-    sampledIssues.map((i) => formatItem(i, lang)).join("\n") || (lang === "en" ? "None" : "无");
-  const prsText = sampledPrs.map((p) => formatItem(p, lang)).join("\n") || (lang === "en" ? "None" : "无");
-  const releasesText = releases.length
-    ? releases.map((r) => `- ${r.tag_name}: ${r.name}\n  ${(r.body ?? "").slice(0, 300)}`).join("\n")
-    : lang === "en"
-      ? "None"
-      : "无";
-
-  const issueNote = sampleNote(issues.length, sampledIssues.length, lang);
-  const prNote = sampleNote(prs.length, sampledPrs.length, lang);
-
-  if (lang === "en") {
-    return `You are a technical analyst focused on AI developer tools. Based on the following GitHub data, generate the ${cfg.name} community digest for ${dateStr}.
-
-# Data source: github.com/${cfg.repo}
-
-## Latest Releases (last 24h)
-${releasesText}
-
-## Latest Issues (updated in last 24h)${issueNote}
-${issuesText}
-
-## Latest Pull Requests (updated in last 24h)${prNote}
-${prsText}
-
----
-
-Generate a structured English digest with the following sections:
-
-1. **Today's Highlights** - 2-3 sentences summarizing the most important updates
-2. **Releases** - If new versions exist, summarize changes; omit if none
-3. **Hot Issues** - Pick 10 noteworthy Issues, explain why they matter and community reaction
-4. **Key PR Progress** - Pick 10 important PRs, describe features or fixes
-5. **Feature Request Trends** - Distill the most-requested feature directions from all Issues
-6. **Developer Pain Points** - Summarize recurring developer frustrations or high-frequency requests
-
-Style: concise and professional, suited for technical developers. Include GitHub links for each item.
-`;
-  }
-
-  return `你是一位专注于 AI 开发工具的技术分析师。请根据以下 GitHub 数据，生成 ${dateStr} 的 ${cfg.name} 社区动态日报。
-
-# 数据来源: github.com/${cfg.repo}
-
-## 最新 Releases（过去24小时）
-${releasesText}
-
-## 最新 Issues（过去24小时内更新）${issueNote}
-${issuesText}
-
-## 最新 Pull Requests（过去24小时内更新）${prNote}
-${prsText}
-
----
-
-请生成一份结构清晰的中文日报，包含以下部分：
-
-1. **今日速览** - 用2-3句话概括今天最重要的动态
-2. **版本发布** - 如有新版本，总结更新内容；无则省略
-3. **社区热点 Issues** - 挑选 10 个最值得关注的 Issue，说明为什么重要、社区反应如何
-4. **重要 PR 进展** - 挑选 10 个重要的 PR，说明功能或修复内容
-5. **功能需求趋势** - 从所有 Issues 中提炼出社区最关注的功能方向（如 IDE 集成、性能、新模型支持等）
-6. **开发者关注点** - 总结开发者反馈中的痛点或高频需求
-
-语言要求：简洁专业，适合技术开发者阅读。每个条目附上 GitHub 链接。
-`;
-}
-
-const PEER_ISSUE_LIMIT = 30;
-const PEER_PR_LIMIT = 20;
-
-export function buildPeerPrompt(
-  cfg: RepoConfig,
-  issues: GitHubItem[],
-  prs: GitHubItem[],
-  releases: GitHubRelease[],
-  dateStr: string,
-  issueLimit = PEER_ISSUE_LIMIT,
-  prLimit = PEER_PR_LIMIT,
-  lang: "zh" | "en" = "zh",
-): string {
-  const totalIssues = issues.length;
-  const totalPrs = prs.length;
-
-  const sampledIssues = topN(issues, issueLimit);
-  const sampledPrs = topN(prs, prLimit);
-
-  const noneStr = lang === "en" ? "None" : "无";
-  const issuesText = sampledIssues.map((i) => formatItem(i, lang)).join("\n") || noneStr;
-  const prsText = sampledPrs.map((p) => formatItem(p, lang)).join("\n") || noneStr;
-  const releasesText = releases.length
-    ? releases.map((r) => `- ${r.tag_name}: ${r.name}\n  ${(r.body ?? "").slice(0, 300)}`).join("\n")
-    : noneStr;
-
-  const openIssues = issues.filter((i) => i.state === "open").length;
-  const closedIssues = issues.filter((i) => i.state === "closed").length;
-  const openPrs = prs.filter((p) => p.state === "open").length;
-  const mergedPrs = prs.filter((p) => p.state === "closed").length;
-
-  const issueSampleNote = sampleNote(totalIssues, sampledIssues.length, lang);
-  const prSampleNote = sampleNote(totalPrs, sampledPrs.length, lang);
-
-  if (lang === "en") {
-    return `You are an analyst of AI agent and personal AI assistant open-source projects. Based on the following GitHub data from ${cfg.name} (github.com/${cfg.repo}), generate a project digest for ${dateStr}.
-
-# Data Overview
-- Issues updated in last 24h: ${totalIssues} (open/active: ${openIssues}, closed: ${closedIssues})
-- PRs updated in last 24h: ${totalPrs} (open: ${openPrs}, merged/closed: ${mergedPrs})
-- New releases: ${releases.length}
-
-## Latest Releases
-${releasesText}
-
-## Latest Issues ${issueSampleNote}
-${issuesText}
-
-## Latest Pull Requests ${prSampleNote}
-${prsText}
-
----
-
-Generate a structured English ${cfg.name} project digest with the following sections:
-
-1. **Today's Overview** - 3-5 sentences summarizing project status, including activity assessment
-2. **Releases** - If new versions exist, detail changes, breaking changes, migration notes; omit if none
-3. **Project Progress** - Merged/closed PRs today, what features advanced or were fixed
-4. **Community Hot Topics** - Most active Issues/PRs with most comments/reactions (with links), analyze underlying needs
-5. **Bugs & Stability** - Bugs, crashes, regressions reported today, ranked by severity, note if fix PRs exist
-6. **Feature Requests & Roadmap Signals** - User-requested features, predict which might be in next version
-7. **User Feedback Summary** - Real user pain points, use cases, satisfaction/dissatisfaction
-8. **Backlog Watch** - Long-unanswered important Issues or PRs needing maintainer attention
-
-Style: objective, data-driven, highlighting project health. Include GitHub links for each item.
-`;
-  }
-
-  return `你是一位 AI 智能体与个人 AI 助手领域开源项目分析师。请根据以下来自 ${cfg.name} (github.com/${cfg.repo}) 的 GitHub 数据，生成 ${dateStr} 的项目动态日报。
-
-# 数据概览
-- 过去24小时 Issues 更新：${totalIssues} 条（新开/活跃: ${openIssues}，已关闭: ${closedIssues}）
-- 过去24小时 PR 更新：${totalPrs} 条（待合并: ${openPrs}，已合并/关闭: ${mergedPrs}）
-- 新版本发布：${releases.length} 个
-
-## 最新 Releases
-${releasesText}
-
-## 最新 Issues ${issueSampleNote}
-${issuesText}
-
-## 最新 Pull Requests ${prSampleNote}
-${prsText}
-
----
-
-请生成一份结构清晰的 ${cfg.name} 项目日报，包含以下部分：
-
-1. **今日速览** - 用3-5句话概括项目今日整体状态，包括活跃度评估
-2. **版本发布** - 如有新版本，详细说明更新内容、破坏性变更、迁移注意事项；无则省略
-3. **项目进展** - 今日合并/关闭的重要 PR，说明推进了哪些功能或修复，项目整体向前迈进了多少
-4. **社区热点** - 今日讨论最活跃、评论最多、反应最多的 Issues/PRs（附链接），分析背后的诉求
-5. **Bug 与稳定性** - 今日报告的 Bug、崩溃、回归问题，按严重程度排列，标注是否已有 fix PR
-6. **功能请求与路线图信号** - 用户提出的新功能需求，结合已有 PR 判断哪些可能被纳入下一版本
-7. **用户反馈摘要** - 从 Issues 评论中提炼真实用户痛点、使用场景、满意/不满意的地方
-8. **待处理积压** - 长期未响应的重要 Issue 或 PR，提醒维护者关注
-
-语言要求：客观专业，数据驱动，突出项目健康度。每个条目附上 GitHub 链接。
-`;
-}
-
-export function buildPeersComparisonPrompt(
-  openclawDigest: RepoDigest,
-  peerDigests: RepoDigest[],
-  dateStr: string,
-  lang: "zh" | "en" = "zh",
-): string {
-  const noActivityStr = lang === "en" ? "No activity in the last 24 hours." : "过去24小时无活动。";
-
-  const openclawSection =
-    lang === "en"
-      ? `## OpenClaw (core reference, github.com/${openclawDigest.config.repo})\n${openclawDigest.summary}`
-      : `## OpenClaw（核心参照，github.com/${openclawDigest.config.repo}）\n${openclawDigest.summary}`;
-
-  const peerSections = peerDigests
-    .map((d) => {
-      const hasData = d.issues.length || d.prs.length || d.releases.length;
-      if (!hasData) return `## ${d.config.name} (github.com/${d.config.repo})\n${noActivityStr}`;
-      return `## ${d.config.name} (github.com/${d.config.repo})\n${d.summary}`;
-    })
-    .join("\n\n---\n\n");
-
-  if (lang === "en") {
-    return `You are a senior analyst of the AI agent and personal AI assistant open-source ecosystem. The following are ${dateStr} community digest summaries for each project.
-
-${openclawSection}
-
----
-
-${peerSections}
-
----
-
-Generate a cross-project comparison report in English with these sections:
-
-1. **Ecosystem Overview** - 3-5 sentences on the overall personal AI assistant / agent open-source landscape
-2. **Activity Comparison** - Table comparing Issues count, PR count, Release status, and health score for each project
-3. **OpenClaw's Position** - Advantages vs peers, technical approach differences, community size comparison
-4. **Shared Technical Focus Areas** - Requirements emerging across multiple projects (note which projects, specific needs)
-5. **Differentiation Analysis** - Key differences in feature focus, target users, technical architecture
-6. **Community Momentum & Maturity** - Activity tiers, which are rapidly iterating, which are stabilizing
-7. **Trend Signals** - Industry trends extracted from community feedback, value for AI agent developers
-
-Style: concise and professional, data-backed, suited for technical decision-makers and developers.
-`;
-  }
-
-  return `你是一位专注于 AI 智能体与个人 AI 助手开源生态的资深技术分析师。以下是 ${dateStr} 各开源项目的社区动态摘要。
-
-${openclawSection}
-
----
-
-${peerSections}
-
----
-
-请基于上述各项目的动态，生成一份横向对比分析报告，包含以下部分：
-
-1. **生态全景** - 用3-5句话概括个人 AI 助手/自主智能体开源生态整体态势
-2. **各项目活跃度对比** - 以表格形式汇总各项目今日的 Issues 数、PR 数、Release 情况及健康度评估
-3. **OpenClaw 在生态中的定位** - 与同类相比的优势、技术路线差异、社区规模对比
-4. **共同关注的技术方向** - 多项目共同涌现的需求（注明涉及哪些项目、具体诉求）
-5. **差异化定位分析** - 功能侧重、目标用户、技术架构的关键差异
-6. **社区热度与成熟度** - 活跃度分层，哪些处于快速迭代阶段，哪些在质量巩固阶段
-7. **值得关注的趋势信号** - 从社区反馈中提炼行业趋势，对 AI 智能体开发者的参考价值
-
-语言要求：简洁专业，有数据支撑，适合技术决策者和开发者阅读。
-`;
-}
-
-export function buildSkillsPrompt(
-  prs: GitHubItem[],
-  issues: GitHubItem[],
-  dateStr: string,
-  lang: "zh" | "en" = "zh",
-): string {
-  const topPrs = topN(prs, 20);
-  const topIssues = topN(issues, 15);
-
-  const noneStr = lang === "en" ? "None" : "无";
-  const prsText = topPrs.map((p) => formatItem(p, lang)).join("\n") || noneStr;
-  const issuesText = topIssues.map((i) => formatItem(i, lang)).join("\n") || noneStr;
-
-  if (lang === "en") {
-    return `You are a technical analyst focused on the Claude Code ecosystem. The following data is from github.com/anthropics/skills (official Claude Code Skills repository). Analyze the community's most-watched Skills activity (data as of ${dateStr}).
-
-## Repository Context
-anthropics/skills is the official Claude Code Skills collection. Each PR typically represents a new or improved Skill. The community proposes new Skills and reports issues via Issues; PRs represent actual Skill submissions.
-
-## Popular Pull Requests (sorted by comments, ${prs.length} total, showing top ${topPrs.length})
-${prsText}
-
-## Community Issues (sorted by comments, ${issues.length} total, showing top ${topIssues.length})
-${issuesText}
-
----
-
-Generate a Claude Code Skills community highlights report in English with these sections:
-
-1. **Top Skills Ranking** - List the 5-8 most-discussed Skills (PRs) by comments/attention, describe each Skill's functionality, discussion highlights, and current status (open/merged/draft)
-2. **Community Demand Trends** - From Issues, distill the most-anticipated new Skill directions (e.g. workflow automation, code review, test generation, documentation)
-3. **High-Potential Pending Skills** - Active-comment PRs not yet merged; these Skills may land soon
-4. **Skills Ecosystem Insight** - One-sentence summary: what is the community's most concentrated demand at the Skills level?
-
-Style: concise and professional, include GitHub links for each item.
-`;
-  }
-
-  return `你是一位专注于 Claude Code 生态的技术分析师。以下是来自 github.com/anthropics/skills（Claude Code Skills 官方仓库）的数据，请分析社区最关注的 Skills 动态（数据截止 ${dateStr}）。
-
-## 仓库说明
-anthropics/skills 是 Claude Code 官方 Skills 集合仓库，每个 PR 通常对应一个新增或改进的 Skill。社区通过 Issues 提出新 Skill 需求或反馈问题，PR 则代表实际提交的 Skill。
-
-## 热门 Pull Requests（按评论数排序，共 ${prs.length} 条，展示前 ${topPrs.length} 条）
-${prsText}
-
-## 社区 Issues（按评论数排序，共 ${issues.length} 条，展示前 ${topIssues.length} 条）
-${issuesText}
-
----
-
-请生成一份 Claude Code Skills 社区热点报告，包含以下部分：
-
-1. **热门 Skills 排行** - 列出评论/关注度最高的 5~8 个 Skills（PR），说明每个 Skill 的功能、社区讨论热点及当前状态（open/merged/draft）
-2. **社区需求趋势** - 从 Issues 中提炼社区最期待的新 Skill 方向（如工作流自动化、代码审查、测试生成、文档等）
-3. **高潜力待合并 Skills** - 评论活跃但尚未合并的 PR，这些 Skills 可能近期落地
-4. **Skills 生态洞察** - 一句话总结：当前社区在 Skills 层面最集中的诉求是什么
-
-语言要求：简洁专业，每个条目附上 GitHub 链接。
-`;
-}
-
-export function buildComparisonPrompt(
-  digests: RepoDigest[],
-  dateStr: string,
-  lang: "zh" | "en" = "zh",
-): string {
-  const noActivityStr = lang === "en" ? "No activity in the last 24 hours." : "过去24小时无活动。";
-
-  const sections = digests
-    .map((d) => {
-      const hasData = d.issues.length || d.prs.length || d.releases.length;
-      if (!hasData) return `## ${d.config.name} (github.com/${d.config.repo})\n${noActivityStr}`;
-      return `## ${d.config.name} (github.com/${d.config.repo})\n${d.summary}`;
-    })
-    .join("\n\n---\n\n");
-
-  if (lang === "en") {
-    return `You are a senior technical analyst of the AI developer tools ecosystem. The following are ${dateStr} community digest summaries for each major AI CLI tool:
-
-${sections}
-
----
-
-Generate a cross-tool comparison report in English with these sections:
-
-1. **Ecosystem Overview** - 3-5 sentences on the overall AI CLI tools development landscape
-2. **Activity Comparison** - Table comparing Issues count, PR count, Release status for each tool today
-3. **Shared Feature Directions** - Requirements appearing across multiple tool communities (note which tools, specific needs)
-4. **Differentiation Analysis** - Differences in feature focus, target users, and technical approach
-5. **Community Momentum & Maturity** - Which tools have more active communities, which are rapidly iterating
-6. **Trend Signals** - Industry trends from community feedback, reference value for developers
-
-Style: concise and professional, data-backed, suited for technical decision-makers and developers.
-`;
-  }
-
-  return `你是一位专注于 AI 开发工具生态的资深技术分析师。以下是 ${dateStr} 各主流 AI CLI 工具的社区动态摘要：
-
-${sections}
-
----
-
-请基于上述各工具的动态，生成一份横向对比分析报告，包含以下部分：
-
-1. **生态全景** - 用3-5句话概括当前 AI CLI 工具整体发展态势
-2. **各工具活跃度对比** - 以表格形式汇总各工具今日的 Issues 数、PR 数、Release 情况
-3. **共同关注的功能方向** - 多个工具社区都在关注的需求（说明哪些工具、具体诉求）
-4. **差异化定位分析** - 各工具在功能侧重、目标用户、技术路线上的差异
-5. **社区热度与成熟度** - 哪些工具社区更活跃，哪些处于快速迭代阶段
-6. **值得关注的趋势信号** - 从社区反馈中提炼出的行业趋势，对开发者有何参考价值
-
-语言要求：简洁专业，有数据支撑，适合技术决策者和开发者阅读。
-`;
-}
-
-export function buildTrendingPrompt(data: TrendingData, dateStr: string, lang: "zh" | "en" = "zh"): string {
-  const trendingSection =
-    data.trendingFetchSuccess && data.trendingRepos.length > 0
-      ? data.trendingRepos
-          .map(
-            (r) =>
-              `- [${r.fullName}](${r.url})` +
-              (r.language ? ` [${r.language}]` : "") +
-              ` ⭐${r.totalStars.toLocaleString()}` +
-              (r.todayStars > 0 ? ` (+${r.todayStars} today)` : "") +
-              (r.forks > 0 ? ` 🍴${r.forks.toLocaleString()}` : "") +
-              (r.description ? `\n  ${r.description}` : ""),
-          )
-          .join("\n")
-      : lang === "en"
-        ? "(Unable to fetch today's GitHub Trending list)"
-        : "（未能抓取今日 GitHub Trending 榜单）";
-
-  const searchSection =
-    data.searchRepos.length > 0
-      ? data.searchRepos
-          .map(
-            (r) =>
-              `- [${r.fullName}](${r.url})` +
-              (r.language ? ` [${r.language}]` : "") +
-              ` ⭐${r.stargazersCount.toLocaleString()}` +
-              ` [topic:${r.searchQuery}]` +
-              (r.description ? `\n  ${r.description}` : ""),
-          )
-          .join("\n")
-      : lang === "en"
-        ? "(No search results)"
-        : "（无搜索结果）";
-
-  if (lang === "en") {
-    return `You are a technical analyst focused on the AI open-source ecosystem. The following is ${dateStr} GitHub AI-related trending repository data. Please filter for AI relevance, categorize, and analyze trends.
-
-## Data Sources
-- **Trending List** (github.com/trending, today's stars most reliable): Real-time hot list with today's new stars
-- **Topic Search** (GitHub Search API, topic tags): AI-related projects active in last 7 days, grouped by topic
-
----
-
-## GitHub Today's Trending (${data.trendingRepos.length} repositories)
-${trendingSection}
-
----
-
-## AI Topic Search Results (${data.searchRepos.length} repositories, deduplicated)
-${searchSection}
-
----
-
-Generate a structured AI Open Source Trends Report in English:
-
-**Step 1 (Filter)**: From the above data, select projects clearly related to AI/ML (exclude unrelated general tools, frontend frameworks, games, etc.). Skip non-AI trending repos.
-
-**Step 2 (Categorize)**: Group filtered projects into these categories (a project can belong to multiple; pick the primary one):
-- 🔧 AI Infrastructure (frameworks, SDKs, inference engines, dev tools, CLI)
-- 🤖 AI Agents / Workflows (agent frameworks, automation, multi-agent systems)
-- 📦 AI Applications (specific apps, vertical solutions)
-- 🧠 LLMs / Training (model weights, training frameworks, fine-tuning tools)
-- 🔍 RAG / Knowledge (vector databases, retrieval-augmented generation, knowledge management)
-
-**Step 3 (Output Report)** with these sections:
-
-1. **Today's Highlights** — 3-5 sentences on the most noteworthy AI open-source developments today
-
-2. **Top Projects by Category** — For each category, list 3-8 representative projects, each with:
-   - Project name (with link)
-   - Stars data (total + today's new, if available)
-   - One sentence: what it is and why it's worth attention today
-
-3. **Trend Signal Analysis** — 200-300 words, distill from today's hot list:
-   - Which type of AI tool is getting explosive community attention?
-   - Any new tech stacks or directions appearing for the first time?
-   - Connection to recent LLM releases / industry events
-
-4. **Community Hot Spots** — Bullet list of 3-5 specific projects or directions worth developer focus, with brief reasoning
-
-Style: English, professional and concise, must include GitHub links for every project.
-`;
-  }
-
-  return `你是一位专注于 AI 开源生态的技术分析师。以下是 ${dateStr} 的 GitHub AI 相关热门仓库数据，请进行 AI 相关性筛选、分类和趋势分析。
-
-## 数据说明
-- **Trending 榜单**（github.com/trending，今日 stars 数最可信）：今日实时热榜，含今日新增 stars
-- **主题搜索**（GitHub Search API，topic 标签）：7天内活跃的 AI 相关项目，按主题分类
-
----
-
-## GitHub 今日 Trending 榜单（共 ${data.trendingRepos.length} 个仓库）
-${trendingSection}
-
----
-
-## AI 主题搜索结果（共 ${data.searchRepos.length} 个仓库，已去重）
-${searchSection}
-
----
-
-请生成一份结构清晰的《AI 开源趋势日报》，要求：
-
-**第一步（过滤）**：从以上数据中筛选出与 AI/ML 明确相关的项目（排除与 AI 无关的通用工具、前端框架、游戏等），对于 Trending 榜单中的非 AI 项目直接略去。
-
-**第二步（分类）**：将筛选后的项目按以下维度分类（一个项目可归入多类，优先归入最主要类别）：
-- 🔧 AI 基础工具（框架、SDK、推理引擎、开发工具、CLI）
-- 🤖 AI 智能体/工作流（Agent 框架、自动化、多智能体）
-- 📦 AI 应用（具体应用产品、垂直场景解决方案）
-- 🧠 大模型/训练（模型权重、训练框架、微调工具）
-- 🔍 RAG/知识库（向量数据库、检索增强、知识管理）
-
-**第三步（输出报告）**，包含以下部分：
-
-1. **今日速览** — 3~5 句话概括今日 AI 开源领域最值得关注的动向
-
-2. **各维度热门项目** — 每个维度列出 3~8 个代表项目，每项包含：
-   - 项目名（附链接）
-   - stars 数据（总量 + 今日新增，如有）
-   - 一句话说明：这个项目是什么，为什么今天值得关注
-
-3. **趋势信号分析** — 200~300 字，从今日热榜中提炼：
-   - 哪类 AI 工具正在获得社区爆发性关注？
-   - 有无新兴技术栈或方向首次登榜？
-   - 与近期大模型发布/行业事件的关联
-
-4. **社区关注热点** — 以 bullet 形式列出 3~5 个值得开发者重点关注的具体项目或方向，给出简短理由
-
-语言要求：中文，专业简洁，每个项目必须附 GitHub 链接。
-`;
-}
-
-export function buildWebReportPrompt(
-  results: WebFetchResult[],
-  dateStr: string,
-  lang: "zh" | "en" = "zh",
-): string {
-  const isAnyFirstRun = results.some((r) => r.isFirstRun);
-
-  const siteSections = results
-    .map(({ siteName, isFirstRun, newItems, totalDiscovered }) => {
-      const mode =
-        lang === "en"
-          ? isFirstRun
-            ? `First full crawl (sitemap total ${totalDiscovered} URLs, showing latest ${newItems.length} articles)`
-            : `Incremental update, ${newItems.length} new articles today`
-          : isFirstRun
-            ? `首次全量抓取（sitemap 共 ${totalDiscovered} 条 URL，以下为最新 ${newItems.length} 篇正文内容）`
-            : `今日增量更新，共 ${newItems.length} 篇新内容`;
-
-      if (newItems.length === 0) return `## ${siteName}\n\n（${mode}，暂无可供分析的内容。）`;
-
-      const unableToExtract = lang === "en" ? "(Unable to extract text content)" : "（无法提取文本内容）";
-      const itemsText = newItems
-        .map((item) =>
-          [
-            `### [${item.title || item.url}](${item.url})`,
-            `- 分类: ${item.category} | 发布/更新: ${item.lastmod.slice(0, 10) || "未知"}`,
-            `- 内容节选: ${item.content || unableToExtract}`,
-          ].join("\n"),
-        )
-        .join("\n\n");
-
-      return `## ${siteName}（${mode}）\n\n${itemsText}`;
-    })
-    .join("\n\n---\n\n");
-
-  const firstRunNote =
-    lang === "en"
-      ? isAnyFirstRun
-        ? "This is the first full crawl. Please focus on the overall content landscape, historical context, and core themes of each site, rather than individual articles."
-        : "This is an incremental update. Please focus on today's new content and assess its strategic significance in context."
-      : isAnyFirstRun
-        ? "本次为首次全量抓取，请重点梳理各站点的内容格局、历史脉络与核心主题，而非仅关注单篇文章。"
-        : "本次为增量更新，请聚焦今日新增内容，并结合上下文判断其战略意义。";
-
-  if (lang === "en") {
-    return `You are a deep content analyst focused on AI, skilled at extracting strategic signals from official announcements, technical blogs, research papers, and product documentation.
-
-The following content was crawled on ${dateStr} from Anthropic (claude.com / anthropic.com) and OpenAI (openai.com). ${firstRunNote}
-
-${siteSections}
-
----
-
-Generate a detailed AI Official Content Tracking Report in English with these sections:
-
-1. **Today's Highlights** — 3-5 sentences on the most important new releases or developments, calling out key highlights
-
-2. **Anthropic / Claude Content Highlights** — Organize important content by category (news / research / engineering / learn, etc.):
-   - For each piece, 2-4 sentences extracting core insights, technical details, or business significance
-   - Note publication date and original link
-   - If first full crawl, trace important milestones chronologically
-
-3. **OpenAI Content Highlights** — Same structure, organized by research / release / company / safety categories
-
-4. **Strategic Signal Analysis** — Based on both companies' release cadence and content focus, analyze:
-   - Each company's recent technical priorities (model capabilities / safety / productization / ecosystem)
-   - Competitive dynamics: who is setting the agenda, who is following
-   - Potential impact on developers and enterprise users
-
-5. **Notable Details** — Extract hidden signals from titles, phrasing, and timing, e.g.:
-   - New terms or topics appearing for the first time
-   - Dense releases in a category (may signal a product milestone)
-   - Policy, compliance, and safety developments
-
-${isAnyFirstRun ? "6. **Content Landscape Overview** — First full crawl only: summarize the content category distribution for both companies and describe their content strategy style (academic-oriented vs product-oriented vs user stories, etc.)\n\n" : ""}Style: English, professional and detailed, suited for AI researchers, product managers, and technical decision-makers. Every item must include official links.
-`;
-  }
-
-  return `你是一位专注于 AI 领域的深度内容分析师，擅长从官方公告、技术博客、研究论文和产品文档中提炼战略信号。
-
-以下是 ${dateStr} 从 Anthropic（claude.com / anthropic.com）和 OpenAI（openai.com）官网抓取的内容，${firstRunNote}
-
-${siteSections}
-
----
-
-请生成一份详实的《AI 官方内容追踪报告》，包含以下部分：
-
-1. **今日速览** — 3~5 句话概括最重要的新发布或动向，点出核心亮点
-
-2. **Anthropic / Claude 内容精选** — 按分类（news / research / engineering / learn 等）逐条整理重要内容：
-   - 每篇用 2~4 句话提炼核心观点、技术细节或业务意义
-   - 标注发布日期和原文链接
-   - 如首次全量，按时间线梳理重要里程碑
-
-3. **OpenAI 内容精选** — 同上，按 research / release / company / safety 等分类整理
-
-4. **战略信号解读** — 基于两家公司的发布节奏和内容重点，分析：
-   - 各自近期的技术优先级（模型能力 / 安全 / 产品化 / 生态）
-   - 竞争态势：谁在引领议题，谁在跟进
-   - 对开发者和企业用户的潜在影响
-
-5. **值得关注的细节** — 从标题、措辞、发布时机中提取隐含信号，例如：
-   - 新兴词汇或话题的首次出现
-   - 某类主题的密集发布（可能预示产品节点）
-   - 政策、合规、安全方面的动向
-
-${isAnyFirstRun ? "6. **内容格局总览** — 首次全量独有：汇总两家公司各内容类别的数量分布，并说明各自的内容运营风格（学术导向 vs 产品导向 vs 用户故事等）\n\n" : ""}语言要求：中文，专业深入，内容详实，适合 AI 领域研究者、产品经理和技术决策者阅读。每个条目必须附上 GitHub/官网链接。
-`;
-}
-
-export function buildWeeklyPrompt(
-  dailyDigests: Record<string, string>,
-  weekStr: string,
-  lang: "zh" | "en" = "zh",
-): string {
-  const digestEntries = Object.entries(dailyDigests)
-    .map(([date, content]) => `## ${date}\n\n${content}`)
-    .join("\n\n---\n\n");
-
-  if (lang === "en") {
-    return `You are a technical analyst focused on the AI open-source ecosystem. The following are daily digest summaries from the past 7 days (${weekStr}) of AI tool community activity. Generate a comprehensive weekly recap.
-
-${digestEntries}
-
----
-
-Generate an AI Tools Ecosystem Weekly Report with these sections:
-
-1. **Week's Top Stories** - 5-8 most important events, releases, and community developments this week, each with date
-2. **CLI Tools Progress** - Overall activity and key changes for each AI CLI tool (Claude Code, Codex, Gemini CLI, etc.)
-3. **AI Agent Ecosystem** - Key developments from OpenClaw and peer projects this week
-4. **Open Source Trends** - Most notable technical directions from GitHub Trending and AI community this week
-5. **HN Community Highlights** - Core AI discussion topics and community sentiment on Hacker News this week
-6. **Official Announcements** - Important content published by Anthropic and OpenAI this week (if any)
-7. **Next Week's Signals** - Based on this week's data, predict trends and upcoming events worth watching
-
-Style: English, concise and professional, helping technical developers quickly grasp the week's developments.
-`;
-  }
-
-  return `你是一位专注于 AI 开源生态的技术分析师。以下是过去 7 天（${weekStr}）的 AI 工具社区每日动态摘要，请生成本周综合回顾报告。
-
-${digestEntries}
-
----
-
-请生成《AI 工具生态周报》，包含以下部分：
-
-1. **本周要闻** - 5-8 条本周最重要的事件、版本发布、社区动向，每条附日期
-2. **CLI 工具进展** - 各 AI CLI 工具（Claude Code、Codex、Gemini CLI 等）本周整体动态与关键变化
-3. **AI Agent 生态** - OpenClaw 及同赛道项目的本周重要进展
-4. **开源趋势** - 本周 GitHub Trending 和 AI 社区最关注的技术方向
-5. **HN 社区热议** - 本周 Hacker News AI 讨论的核心话题与社区情绪
-6. **官方动态** - Anthropic 和 OpenAI 本周发布的重要内容（若有）
-7. **下周信号** - 基于本周数据，预判值得关注的趋势或即将到来的事件
-
-语言要求：中文，简洁专业，适合技术开发者快速掌握一周动态。
-`;
-}
-
-export function buildMonthlyPrompt(
-  sourceDigests: Record<string, string>,
-  monthStr: string,
-  lang: "zh" | "en" = "zh",
-): string {
-  const digestEntries = Object.entries(sourceDigests)
-    .map(([key, content]) => `## ${key}\n\n${content}`)
-    .join("\n\n---\n\n");
-
-  if (lang === "en") {
-    return `You are a technical analyst focused on the AI open-source ecosystem. The following are ${monthStr} AI tool community digest summaries (${Object.keys(sourceDigests).length} reports total). Generate a comprehensive monthly review.
-
-${digestEntries}
-
----
-
-Generate an AI Tools Ecosystem Monthly Report with these sections:
-
-1. **Month's Top Stories** - 5-10 most important events and milestones this month, in chronological order
-2. **CLI Tools Monthly Progress** - Overall development trajectory, major releases, and community growth for each key AI CLI tool
-3. **AI Agent Ecosystem Monthly Review** - Ecosystem landscape shifts, emerging projects, notable signals this month
-4. **Technical Trend Summary** - Most significant technical directions and paradigm shifts in AI open-source this month
-5. **Community Health Assessment** - Monthly activity comparison across major projects, developer engagement evaluation
-6. **Official Announcements Review** - Strategic analysis of Anthropic and OpenAI content published this month
-7. **Next Month's Outlook** - Based on this month's trends, predict key directions and potential events to watch
-
-Style: English, in-depth analysis, data-driven, suited for monthly retrospectives and strategic decision-making.
-`;
-  }
-
-  return `你是一位专注于 AI 开源生态的技术分析师。以下是 ${monthStr} 月的 AI 工具社区动态汇总（共 ${Object.keys(sourceDigests).length} 份报告），请生成本月综合回顾报告。
-
-${digestEntries}
-
----
-
-请生成《AI 工具生态月报》，包含以下部分：
-
-1. **月度要闻** - 本月最重要的 5-10 条事件和里程碑，按时间排列
-2. **CLI 工具月度进展** - 各主要 AI CLI 工具本月整体发展轨迹、重要版本、社区规模变化
-3. **AI Agent 生态月报** - 本月生态格局变化、新兴项目、值得关注的信号
-4. **技术趋势总结** - 本月 AI 开源领域最显著的技术方向与范式变化
-5. **社区生态健康度** - 各主要项目月度活跃度对比、开发者参与度评估
-6. **官方动态回顾** - Anthropic 和 OpenAI 本月发布内容的战略意义分析
-7. **下月展望** - 基于本月趋势，预判值得重点关注的方向和潜在事件
-
-语言要求：中文，深度分析，数据驱动，适合月度复盘和战略决策参考。
-`;
-}
-
-export function buildHnPrompt(data: HnData, dateStr: string, lang: "zh" | "en" = "zh"): string {
-  const storiesText = data.stories
-    .map((s, i) =>
-      lang === "en"
-        ? `${i + 1}. **${s.title}**\n` +
-          `   Link: ${s.url}\n` +
-          `   Discussion: ${s.hnUrl}\n` +
-          `   Score: ${s.points} | Comments: ${s.comments} | Author: @${s.author} | 时间: ${s.createdAt.slice(0, 16)}`
-        : `${i + 1}. **${s.title}**\n` +
-          `   链接: ${s.url}\n` +
-          `   讨论: ${s.hnUrl}\n` +
-          `   分数: ${s.points} | 评论: ${s.comments} | 作者: @${s.author} | 时间: ${s.createdAt.slice(0, 16)}`,
-    )
-    .join("\n\n");
-
-  if (lang === "en") {
-    return `You are an AI industry news analyst. The following are AI-related top posts from Hacker News in the past 24 hours as of ${dateStr} (sorted by score, ${data.stories.length} total):
-
----
-
-${storiesText}
-
----
-
-Generate a structured Hacker News AI Community Digest in English:
-
-1. **Today's Highlights** — 3-5 sentences on the hottest AI discussion topics and community sentiment on HN today
-
-2. **Top News & Discussions** — Organized by category, select the 2-5 most representative items per category, each with:
-   - Title (with original link) + HN discussion link
-   - Score and comment count
-   - One sentence: why this matters, what the community's typical reaction is
-
-   Categories:
-   - 🔬 Models & Research (new model releases, papers, benchmarks)
-   - 🛠️ Tools & Engineering (open-source projects, frameworks, engineering practices)
-   - 🏢 Industry News (company news, funding, product launches)
-   - 💬 Opinions & Debates (notable Ask HN, Show HN, or hot discussion threads)
-
-3. **Community Sentiment Signal** — 100-200 words analyzing today's HN AI discussion mood and focus:
-   - Which topics are most active (high score + high comments)?
-   - Any clear points of controversy or consensus?
-   - Compared to last cycle, any notable shift in focus?
-
-4. **Worth Deep Reading** — List 2-3 pieces most worth developers/researchers reading in depth, with brief reasoning
-
-Style: English, concise and professional, preserve all original links.
-`;
-  }
-
-  return `你是 AI 行业资讯分析师。以下是 ${dateStr} 从 Hacker News 抓取的过去 24 小时内 AI 相关热门帖子（按分数降序，共 ${data.stories.length} 条）：
-
----
-
-${storiesText}
-
----
-
-请生成一份结构清晰的《Hacker News AI 社区动态日报》，要求：
-
-1. **今日速览** — 3~5 句话，概括今日 HN 社区围绕 AI 最热门的讨论方向和情绪
-
-2. **热门新闻与讨论** — 按以下分类整理，每类选取最具代表性的 2~5 条，每条包含：
-   - 标题（附原文链接）+ HN 讨论链接
-   - 分数和评论数
-   - 一句话说明：这条内容为什么值得关注，社区有何典型反应
-
-   分类：
-   - 🔬 模型与研究（新模型发布、论文、基准测试）
-   - 🛠️ 工具与工程（开源项目、框架、工程实践）
-   - 🏢 产业动态（公司新闻、融资、产品发布）
-   - 💬 观点与争议（值得关注的 Ask HN、Show HN 或热议帖子）
-
-3. **社区情绪信号** — 100~200 字，分析今日 HN AI 讨论的整体情绪和关注重点：
-   - 社区对哪类话题最活跃（高分 + 高评论）？
-   - 有无明显的争议点或共识？
-   - 与上周期相比，关注方向有无明显变化？
-
-4. **值得深读** — 列出 2~3 条今日最值得开发者/研究者深入阅读的内容，简述理由
-
-语言要求：中文，简洁专业，保留所有原文链接。
-`;
-}
+/**
+ * LLM prompt builders and item formatting.
+ */
+
+import type { RepoConfig, GitHubItem, GitHubRelease } from "./github.ts";
+import type { WebFetchResult } from "./web.ts";
+import type { TrendingData } from "./trending.ts";
+import type { HnData } from "./hn.ts";
+
+// ---------------------------------------------------------------------------
+// Types
+// ---------------------------------------------------------------------------
+
+export interface RepoDigest {
+  config: RepoConfig;
+  issues: GitHubItem[];
+  prs: GitHubItem[];
+  releases: GitHubRelease[];
+  summary: string;
+}
+
+// ---------------------------------------------------------------------------
+// Formatting
+// ---------------------------------------------------------------------------
+
+export function formatItem(item: GitHubItem, lang: "zh" | "en" = "zh"): string {
+  const labels = item.labels.map((l) => l.name).join(", ");
+  const labelStr = labels ? ` [${labels}]` : "";
+  const body = (item.body ?? "").replace(/\n/g, " ").trim().slice(0, 300);
+  const ellipsis = (item.body ?? "").length > 300 ? "..." : "";
+  const t =
+    lang === "en"
+      ? {
+          author: "Author",
+          created: "Created",
+          updated: "Updated",
+          comments: "Comments",
+          url: "URL",
+          summary: "Summary",
+        }
+      : { author: "作者", created: "创建", updated: "更新", comments: "评论", url: "链接", summary: "摘要" };
+  return [
+    `#${item.number} [${item.state.toUpperCase()}]${labelStr} ${item.title}`,
+    `  ${t.author}: @${item.user.login} | ${t.created}: ${item.created_at.slice(0, 10)} | ${t.updated}: ${item.updated_at.slice(0, 10)} | ${t.comments}: ${item.comments} | 👍: ${item.reactions?.["+1"] ?? 0}`,
+    `  ${t.url}: ${item.html_url}`,
+    `  ${t.summary}: ${body}${ellipsis}`,
+  ].join("\n");
+}
+
+// ---------------------------------------------------------------------------
+// Sampling helpers (shared)
+// ---------------------------------------------------------------------------
+
+const CLI_ISSUE_LIMIT = 30;
+const CLI_PR_LIMIT = 20;
+
+/** Sort by comment count desc, take top N. */
+function topN(items: GitHubItem[], n: number): GitHubItem[] {
+  return [...items].sort((a, b) => b.comments - a.comments).slice(0, n);
+}
+
+function sampleNote(total: number, sampled: number, lang: "zh" | "en" = "zh"): string {
+  if (lang === "en") {
+    return total > sampled
+      ? `(Total: ${total} items; showing top ${sampled} by comment count)`
+      : `(Total: ${total} items)`;
+  }
+  return total > sampled ? `（共 ${total} 条，以下展示评论数最多的 ${sampled} 条）` : `（共 ${total} 条）`;
+}
+
+// ---------------------------------------------------------------------------
+// Prompts
+// ---------------------------------------------------------------------------
+
+export function buildCliPrompt(
+  cfg: RepoConfig,
+  issues: GitHubItem[],
+  prs: GitHubItem[],
+  releases: GitHubRelease[],
+  dateStr: string,
+  lang: "zh" | "en" = "zh",
+): string {
+  const sampledIssues = topN(issues, CLI_ISSUE_LIMIT);
+  const sampledPrs = topN(prs, CLI_PR_LIMIT);
+
+  const issuesText =
+    sampledIssues.map((i) => formatItem(i, lang)).join("\n") || (lang === "en" ? "None" : "无");
+  const prsText = sampledPrs.map((p) => formatItem(p, lang)).join("\n") || (lang === "en" ? "None" : "无");
+  const releasesText = releases.length
+    ? releases.map((r) => `- ${r.tag_name}: ${r.name}\n  ${(r.body ?? "").slice(0, 300)}`).join("\n")
+    : lang === "en"
+      ? "None"
+      : "无";
+
+  const issueNote = sampleNote(issues.length, sampledIssues.length, lang);
+  const prNote = sampleNote(prs.length, sampledPrs.length, lang);
+
+  if (lang === "en") {
+    return `You are a technical analyst focused on AI developer tools. Based on the following GitHub data, generate the ${cfg.name} community digest for ${dateStr}.
+
+# Data source: github.com/${cfg.repo}
+
+## Latest Releases (last 24h)
+${releasesText}
+
+## Latest Issues (updated in last 24h)${issueNote}
+${issuesText}
+
+## Latest Pull Requests (updated in last 24h)${prNote}
+${prsText}
+
+---
+
+Generate a structured English digest with the following sections:
+
+1. **Today's Highlights** - 2-3 sentences summarizing the most important updates
+2. **Releases** - If new versions exist, summarize changes; omit if none
+3. **Hot Issues** - Pick 10 noteworthy Issues, explain why they matter and community reaction
+4. **Key PR Progress** - Pick 10 important PRs, describe features or fixes
+5. **Feature Request Trends** - Distill the most-requested feature directions from all Issues
+6. **Developer Pain Points** - Summarize recurring developer frustrations or high-frequency requests
+
+Style: concise and professional, suited for technical developers. Include GitHub links for each item.
+`;
+  }
+
+  return `你是一位专注于 AI 开发工具的技术分析师。请根据以下 GitHub 数据，生成 ${dateStr} 的 ${cfg.name} 社区动态日报。
+
+# 数据来源: github.com/${cfg.repo}
+
+## 最新 Releases（过去24小时）
+${releasesText}
+
+## 最新 Issues（过去24小时内更新）${issueNote}
+${issuesText}
+
+## 最新 Pull Requests（过去24小时内更新）${prNote}
+${prsText}
+
+---
+
+请生成一份结构清晰的中文日报，包含以下部分：
+
+1. **今日速览** - 用2-3句话概括今天最重要的动态
+2. **版本发布** - 如有新版本，总结更新内容；无则省略
+3. **社区热点 Issues** - 挑选 10 个最值得关注的 Issue，说明为什么重要、社区反应如何
+4. **重要 PR 进展** - 挑选 10 个重要的 PR，说明功能或修复内容
+5. **功能需求趋势** - 从所有 Issues 中提炼出社区最关注的功能方向（如 IDE 集成、性能、新模型支持等）
+6. **开发者关注点** - 总结开发者反馈中的痛点或高频需求
+
+语言要求：简洁专业，适合技术开发者阅读。每个条目附上 GitHub 链接。
+`;
+}
+
+const PEER_ISSUE_LIMIT = 30;
+const PEER_PR_LIMIT = 20;
+
+export function buildPeerPrompt(
+  cfg: RepoConfig,
+  issues: GitHubItem[],
+  prs: GitHubItem[],
+  releases: GitHubRelease[],
+  dateStr: string,
+  issueLimit = PEER_ISSUE_LIMIT,
+  prLimit = PEER_PR_LIMIT,
+  lang: "zh" | "en" = "zh",
+): string {
+  const totalIssues = issues.length;
+  const totalPrs = prs.length;
+
+  const sampledIssues = topN(issues, issueLimit);
+  const sampledPrs = topN(prs, prLimit);
+
+  const noneStr = lang === "en" ? "None" : "无";
+  const issuesText = sampledIssues.map((i) => formatItem(i, lang)).join("\n") || noneStr;
+  const prsText = sampledPrs.map((p) => formatItem(p, lang)).join("\n") || noneStr;
+  const releasesText = releases.length
+    ? releases.map((r) => `- ${r.tag_name}: ${r.name}\n  ${(r.body ?? "").slice(0, 300)}`).join("\n")
+    : noneStr;
+
+  const openIssues = issues.filter((i) => i.state === "open").length;
+  const closedIssues = issues.filter((i) => i.state === "closed").length;
+  const openPrs = prs.filter((p) => p.state === "open").length;
+  const mergedPrs = prs.filter((p) => p.state === "closed").length;
+
+  const issueSampleNote = sampleNote(totalIssues, sampledIssues.length, lang);
+  const prSampleNote = sampleNote(totalPrs, sampledPrs.length, lang);
+
+  if (lang === "en") {
+    return `You are an analyst of AI agent and personal AI assistant open-source projects. Based on the following GitHub data from ${cfg.name} (github.com/${cfg.repo}), generate a project digest for ${dateStr}.
+
+# Data Overview
+- Issues updated in last 24h: ${totalIssues} (open/active: ${openIssues}, closed: ${closedIssues})
+- PRs updated in last 24h: ${totalPrs} (open: ${openPrs}, merged/closed: ${mergedPrs})
+- New releases: ${releases.length}
+
+## Latest Releases
+${releasesText}
+
+## Latest Issues ${issueSampleNote}
+${issuesText}
+
+## Latest Pull Requests ${prSampleNote}
+${prsText}
+
+---
+
+Generate a structured English ${cfg.name} project digest with the following sections:
+
+1. **Today's Overview** - 3-5 sentences summarizing project status, including activity assessment
+2. **Releases** - If new versions exist, detail changes, breaking changes, migration notes; omit if none
+3. **Project Progress** - Merged/closed PRs today, what features advanced or were fixed
+4. **Community Hot Topics** - Most active Issues/PRs with most comments/reactions (with links), analyze underlying needs
+5. **Bugs & Stability** - Bugs, crashes, regressions reported today, ranked by severity, note if fix PRs exist
+6. **Feature Requests & Roadmap Signals** - User-requested features, predict which might be in next version
+7. **User Feedback Summary** - Real user pain points, use cases, satisfaction/dissatisfaction
+8. **Backlog Watch** - Long-unanswered important Issues or PRs needing maintainer attention
+
+Style: objective, data-driven, highlighting project health. Include GitHub links for each item.
+`;
+  }
+
+  return `你是一位 AI 智能体与个人 AI 助手领域开源项目分析师。请根据以下来自 ${cfg.name} (github.com/${cfg.repo}) 的 GitHub 数据，生成 ${dateStr} 的项目动态日报。
+
+# 数据概览
+- 过去24小时 Issues 更新：${totalIssues} 条（新开/活跃: ${openIssues}，已关闭: ${closedIssues}）
+- 过去24小时 PR 更新：${totalPrs} 条（待合并: ${openPrs}，已合并/关闭: ${mergedPrs}）
+- 新版本发布：${releases.length} 个
+
+## 最新 Releases
+${releasesText}
+
+## 最新 Issues ${issueSampleNote}
+${issuesText}
+
+## 最新 Pull Requests ${prSampleNote}
+${prsText}
+
+---
+
+请生成一份结构清晰的 ${cfg.name} 项目日报，包含以下部分：
+
+1. **今日速览** - 用3-5句话概括项目今日整体状态，包括活跃度评估
+2. **版本发布** - 如有新版本，详细说明更新内容、破坏性变更、迁移注意事项；无则省略
+3. **项目进展** - 今日合并/关闭的重要 PR，说明推进了哪些功能或修复，项目整体向前迈进了多少
+4. **社区热点** - 今日讨论最活跃、评论最多、反应最多的 Issues/PRs（附链接），分析背后的诉求
+5. **Bug 与稳定性** - 今日报告的 Bug、崩溃、回归问题，按严重程度排列，标注是否已有 fix PR
+6. **功能请求与路线图信号** - 用户提出的新功能需求，结合已有 PR 判断哪些可能被纳入下一版本
+7. **用户反馈摘要** - 从 Issues 评论中提炼真实用户痛点、使用场景、满意/不满意的地方
+8. **待处理积压** - 长期未响应的重要 Issue 或 PR，提醒维护者关注
+
+语言要求：客观专业，数据驱动，突出项目健康度。每个条目附上 GitHub 链接。
+`;
+}
+
+export function buildPeersComparisonPrompt(
+  openclawDigest: RepoDigest,
+  peerDigests: RepoDigest[],
+  dateStr: string,
+  lang: "zh" | "en" = "zh",
+): string {
+  const noActivityStr = lang === "en" ? "No activity in the last 24 hours." : "过去24小时无活动。";
+
+  const openclawSection =
+    lang === "en"
+      ? `## OpenClaw (core reference, github.com/${openclawDigest.config.repo})\n${openclawDigest.summary}`
+      : `## OpenClaw（核心参照，github.com/${openclawDigest.config.repo}）\n${openclawDigest.summary}`;
+
+  const peerSections = peerDigests
+    .map((d) => {
+      const hasData = d.issues.length || d.prs.length || d.releases.length;
+      if (!hasData) return `## ${d.config.name} (github.com/${d.config.repo})\n${noActivityStr}`;
+      return `## ${d.config.name} (github.com/${d.config.repo})\n${d.summary}`;
+    })
+    .join("\n\n---\n\n");
+
+  if (lang === "en") {
+    return `You are a senior analyst of the AI agent and personal AI assistant open-source ecosystem. The following are ${dateStr} community digest summaries for each project.
+
+${openclawSection}
+
+---
+
+${peerSections}
+
+---
+
+Generate a cross-project comparison report in English with these sections:
+
+1. **Ecosystem Overview** - 3-5 sentences on the overall personal AI assistant / agent open-source landscape
+2. **Activity Comparison** - Table comparing Issues count, PR count, Release status, and health score for each project
+3. **OpenClaw's Position** - Advantages vs peers, technical approach differences, community size comparison
+4. **Shared Technical Focus Areas** - Requirements emerging across multiple projects (note which projects, specific needs)
+5. **Differentiation Analysis** - Key differences in feature focus, target users, technical architecture
+6. **Community Momentum & Maturity** - Activity tiers, which are rapidly iterating, which are stabilizing
+7. **Trend Signals** - Industry trends extracted from community feedback, value for AI agent developers
+
+Style: concise and professional, data-backed, suited for technical decision-makers and developers.
+`;
+  }
+
+  return `你是一位专注于 AI 智能体与个人 AI 助手开源生态的资深技术分析师。以下是 ${dateStr} 各开源项目的社区动态摘要。
+
+${openclawSection}
+
+---
+
+${peerSections}
+
+---
+
+请基于上述各项目的动态，生成一份横向对比分析报告，包含以下部分：
+
+1. **生态全景** - 用3-5句话概括个人 AI 助手/自主智能体开源生态整体态势
+2. **各项目活跃度对比** - 以表格形式汇总各项目今日的 Issues 数、PR 数、Release 情况及健康度评估
+3. **OpenClaw 在生态中的定位** - 与同类相比的优势、技术路线差异、社区规模对比
+4. **共同关注的技术方向** - 多项目共同涌现的需求（注明涉及哪些项目、具体诉求）
+5. **差异化定位分析** - 功能侧重、目标用户、技术架构的关键差异
+6. **社区热度与成熟度** - 活跃度分层，哪些处于快速迭代阶段，哪些在质量巩固阶段
+7. **值得关注的趋势信号** - 从社区反馈中提炼行业趋势，对 AI 智能体开发者的参考价值
+
+语言要求：简洁专业，有数据支撑，适合技术决策者和开发者阅读。
+`;
+}
+
+export function buildSkillsPrompt(
+  prs: GitHubItem[],
+  issues: GitHubItem[],
+  dateStr: string,
+  lang: "zh" | "en" = "zh",
+): string {
+  const topPrs = topN(prs, 20);
+  const topIssues = topN(issues, 15);
+
+  const noneStr = lang === "en" ? "None" : "无";
+  const prsText = topPrs.map((p) => formatItem(p, lang)).join("\n") || noneStr;
+  const issuesText = topIssues.map((i) => formatItem(i, lang)).join("\n") || noneStr;
+
+  if (lang === "en") {
+    return `You are a technical analyst focused on the Claude Code ecosystem. The following data is from github.com/anthropics/skills (official Claude Code Skills repository). Analyze the community's most-watched Skills activity (data as of ${dateStr}).
+
+## Repository Context
+anthropics/skills is the official Claude Code Skills collection. Each PR typically represents a new or improved Skill. The community proposes new Skills and reports issues via Issues; PRs represent actual Skill submissions.
+
+## Popular Pull Requests (sorted by comments, ${prs.length} total, showing top ${topPrs.length})
+${prsText}
+
+## Community Issues (sorted by comments, ${issues.length} total, showing top ${topIssues.length})
+${issuesText}
+
+---
+
+Generate a Claude Code Skills community highlights report in English with these sections:
+
+1. **Top Skills Ranking** - List the 5-8 most-discussed Skills (PRs) by comments/attention, describe each Skill's functionality, discussion highlights, and current status (open/merged/draft)
+2. **Community Demand Trends** - From Issues, distill the most-anticipated new Skill directions (e.g. workflow automation, code review, test generation, documentation)
+3. **High-Potential Pending Skills** - Active-comment PRs not yet merged; these Skills may land soon
+4. **Skills Ecosystem Insight** - One-sentence summary: what is the community's most concentrated demand at the Skills level?
+
+Style: concise and professional, include GitHub links for each item.
+`;
+  }
+
+  return `你是一位专注于 Claude Code 生态的技术分析师。以下是来自 github.com/anthropics/skills（Claude Code Skills 官方仓库）的数据，请分析社区最关注的 Skills 动态（数据截止 ${dateStr}）。
+
+## 仓库说明
+anthropics/skills 是 Claude Code 官方 Skills 集合仓库，每个 PR 通常对应一个新增或改进的 Skill。社区通过 Issues 提出新 Skill 需求或反馈问题，PR 则代表实际提交的 Skill。
+
+## 热门 Pull Requests（按评论数排序，共 ${prs.length} 条，展示前 ${topPrs.length} 条）
+${prsText}
+
+## 社区 Issues（按评论数排序，共 ${issues.length} 条，展示前 ${topIssues.length} 条）
+${issuesText}
+
+---
+
+请生成一份 Claude Code Skills 社区热点报告，包含以下部分：
+
+1. **热门 Skills 排行** - 列出评论/关注度最高的 5~8 个 Skills（PR），说明每个 Skill 的功能、社区讨论热点及当前状态（open/merged/draft）
+2. **社区需求趋势** - 从 Issues 中提炼社区最期待的新 Skill 方向（如工作流自动化、代码审查、测试生成、文档等）
+3. **高潜力待合并 Skills** - 评论活跃但尚未合并的 PR，这些 Skills 可能近期落地
+4. **Skills 生态洞察** - 一句话总结：当前社区在 Skills 层面最集中的诉求是什么
+
+语言要求：简洁专业，每个条目附上 GitHub 链接。
+`;
+}
+
+export function buildComparisonPrompt(
+  digests: RepoDigest[],
+  dateStr: string,
+  lang: "zh" | "en" = "zh",
+): string {
+  const noActivityStr = lang === "en" ? "No activity in the last 24 hours." : "过去24小时无活动。";
+
+  const sections = digests
+    .map((d) => {
+      const hasData = d.issues.length || d.prs.length || d.releases.length;
+      if (!hasData) return `## ${d.config.name} (github.com/${d.config.repo})\n${noActivityStr}`;
+      return `## ${d.config.name} (github.com/${d.config.repo})\n${d.summary}`;
+    })
+    .join("\n\n---\n\n");
+
+  if (lang === "en") {
+    return `You are a senior technical analyst of the AI developer tools ecosystem. The following are ${dateStr} community digest summaries for each major AI CLI tool:
+
+${sections}
+
+---
+
+Generate a cross-tool comparison report in English with these sections:
+
+1. **Ecosystem Overview** - 3-5 sentences on the overall AI CLI tools development landscape
+2. **Activity Comparison** - Table comparing Issues count, PR count, Release status for each tool today
+3. **Shared Feature Directions** - Requirements appearing across multiple tool communities (note which tools, specific needs)
+4. **Differentiation Analysis** - Differences in feature focus, target users, and technical approach
+5. **Community Momentum & Maturity** - Which tools have more active communities, which are rapidly iterating
+6. **Trend Signals** - Industry trends from community feedback, reference value for developers
+
+Style: concise and professional, data-backed, suited for technical decision-makers and developers.
+`;
+  }
+
+  return `你是一位专注于 AI 开发工具生态的资深技术分析师。以下是 ${dateStr} 各主流 AI CLI 工具的社区动态摘要：
+
+${sections}
+
+---
+
+请基于上述各工具的动态，生成一份横向对比分析报告，包含以下部分：
+
+1. **生态全景** - 用3-5句话概括当前 AI CLI 工具整体发展态势
+2. **各工具活跃度对比** - 以表格形式汇总各工具今日的 Issues 数、PR 数、Release 情况
+3. **共同关注的功能方向** - 多个工具社区都在关注的需求（说明哪些工具、具体诉求）
+4. **差异化定位分析** - 各工具在功能侧重、目标用户、技术路线上的差异
+5. **社区热度与成熟度** - 哪些工具社区更活跃，哪些处于快速迭代阶段
+6. **值得关注的趋势信号** - 从社区反馈中提炼出的行业趋势，对开发者有何参考价值
+
+语言要求：简洁专业，有数据支撑，适合技术决策者和开发者阅读。
+`;
+}
+
+export function buildTrendingPrompt(data: TrendingData, dateStr: string, lang: "zh" | "en" = "zh"): string {
+  const trendingSection =
+    data.trendingFetchSuccess && data.trendingRepos.length > 0
+      ? data.trendingRepos
+          .map(
+            (r) =>
+              `- [${r.fullName}](${r.url})` +
+              (r.language ? ` [${r.language}]` : "") +
+              ` ⭐${r.totalStars.toLocaleString()}` +
+              (r.todayStars > 0 ? ` (+${r.todayStars} today)` : "") +
+              (r.forks > 0 ? ` 🍴${r.forks.toLocaleString()}` : "") +
+              (r.description ? `\n  ${r.description}` : ""),
+          )
+          .join("\n")
+      : lang === "en"
+        ? "(Unable to fetch today's GitHub Trending list)"
+        : "（未能抓取今日 GitHub Trending 榜单）";
+
+  const searchSection =
+    data.searchRepos.length > 0
+      ? data.searchRepos
+          .map(
+            (r) =>
+              `- [${r.fullName}](${r.url})` +
+              (r.language ? ` [${r.language}]` : "") +
+              ` ⭐${r.stargazersCount.toLocaleString()}` +
+              ` [topic:${r.searchQuery}]` +
+              (r.description ? `\n  ${r.description}` : ""),
+          )
+          .join("\n")
+      : lang === "en"
+        ? "(No search results)"
+        : "（无搜索结果）";
+
+  if (lang === "en") {
+    return `You are a technical analyst focused on the AI open-source ecosystem. The following is ${dateStr} GitHub AI-related trending repository data. Please filter for AI relevance, categorize, and analyze trends.
+
+## Data Sources
+- **Trending List** (github.com/trending, today's stars most reliable): Real-time hot list with today's new stars
+- **Topic Search** (GitHub Search API, topic tags): AI-related projects active in last 7 days, grouped by topic
+
+---
+
+## GitHub Today's Trending (${data.trendingRepos.length} repositories)
+${trendingSection}
+
+---
+
+## AI Topic Search Results (${data.searchRepos.length} repositories, deduplicated)
+${searchSection}
+
+---
+
+Generate a structured AI Open Source Trends Report in English:
+
+**Step 1 (Filter)**: From the above data, select projects clearly related to AI/ML (exclude unrelated general tools, frontend frameworks, games, etc.). Skip non-AI trending repos.
+
+**Step 2 (Categorize)**: Group filtered projects into these categories (a project can belong to multiple; pick the primary one):
+- 🔧 AI Infrastructure (frameworks, SDKs, inference engines, dev tools, CLI)
+- 🤖 AI Agents / Workflows (agent frameworks, automation, multi-agent systems)
+- 📦 AI Applications (specific apps, vertical solutions)
+- 🧠 LLMs / Training (model weights, training frameworks, fine-tuning tools)
+- 🔍 RAG / Knowledge (vector databases, retrieval-augmented generation, knowledge management)
+
+**Step 3 (Output Report)** with these sections:
+
+1. **Today's Highlights** — 3-5 sentences on the most noteworthy AI open-source developments today
+
+2. **Top Projects by Category** — For each category, list 3-8 representative projects, each with:
+   - Project name (with link)
+   - Stars data (total + today's new, if available)
+   - One sentence: what it is and why it's worth attention today
+
+3. **Trend Signal Analysis** — 200-300 words, distill from today's hot list:
+   - Which type of AI tool is getting explosive community attention?
+   - Any new tech stacks or directions appearing for the first time?
+   - Connection to recent LLM releases / industry events
+
+4. **Community Hot Spots** — Bullet list of 3-5 specific projects or directions worth developer focus, with brief reasoning
+
+Style: English, professional and concise, must include GitHub links for every project.
+`;
+  }
+
+  return `你是一位专注于 AI 开源生态的技术分析师。以下是 ${dateStr} 的 GitHub AI 相关热门仓库数据，请进行 AI 相关性筛选、分类和趋势分析。
+
+## 数据说明
+- **Trending 榜单**（github.com/trending，今日 stars 数最可信）：今日实时热榜，含今日新增 stars
+- **主题搜索**（GitHub Search API，topic 标签）：7天内活跃的 AI 相关项目，按主题分类
+
+---
+
+## GitHub 今日 Trending 榜单（共 ${data.trendingRepos.length} 个仓库）
+${trendingSection}
+
+---
+
+## AI 主题搜索结果（共 ${data.searchRepos.length} 个仓库，已去重）
+${searchSection}
+
+---
+
+请生成一份结构清晰的《AI 开源趋势日报》，要求：
+
+**第一步（过滤）**：从以上数据中筛选出与 AI/ML 明确相关的项目（排除与 AI 无关的通用工具、前端框架、游戏等），对于 Trending 榜单中的非 AI 项目直接略去。
+
+**第二步（分类）**：将筛选后的项目按以下维度分类（一个项目可归入多类，优先归入最主要类别）：
+- 🔧 AI 基础工具（框架、SDK、推理引擎、开发工具、CLI）
+- 🤖 AI 智能体/工作流（Agent 框架、自动化、多智能体）
+- 📦 AI 应用（具体应用产品、垂直场景解决方案）
+- 🧠 大模型/训练（模型权重、训练框架、微调工具）
+- 🔍 RAG/知识库（向量数据库、检索增强、知识管理）
+
+**第三步（输出报告）**，包含以下部分：
+
+1. **今日速览** — 3~5 句话概括今日 AI 开源领域最值得关注的动向
+
+2. **各维度热门项目** — 每个维度列出 3~8 个代表项目，每项包含：
+   - 项目名（附链接）
+   - stars 数据（总量 + 今日新增，如有）
+   - 一句话说明：这个项目是什么，为什么今天值得关注
+
+3. **趋势信号分析** — 200~300 字，从今日热榜中提炼：
+   - 哪类 AI 工具正在获得社区爆发性关注？
+   - 有无新兴技术栈或方向首次登榜？
+   - 与近期大模型发布/行业事件的关联
+
+4. **社区关注热点** — 以 bullet 形式列出 3~5 个值得开发者重点关注的具体项目或方向，给出简短理由
+
+语言要求：中文，专业简洁，每个项目必须附 GitHub 链接。
+`;
+}
+
+export function buildWebReportPrompt(
+  results: WebFetchResult[],
+  dateStr: string,
+  lang: "zh" | "en" = "zh",
+): string {
+  const isAnyFirstRun = results.some((r) => r.isFirstRun);
+
+  const siteSections = results
+    .map(({ siteName, isFirstRun, newItems, totalDiscovered }) => {
+      const mode =
+        lang === "en"
+          ? isFirstRun
+            ? `First full crawl (sitemap total ${totalDiscovered} URLs, showing latest ${newItems.length} articles)`
+            : `Incremental update, ${newItems.length} new articles today`
+          : isFirstRun
+            ? `首次全量抓取（sitemap 共 ${totalDiscovered} 条 URL，以下为最新 ${newItems.length} 篇正文内容）`
+            : `今日增量更新，共 ${newItems.length} 篇新内容`;
+
+      if (newItems.length === 0) return `## ${siteName}\n\n（${mode}，暂无可供分析的内容。）`;
+
+      const unableToExtract = lang === "en" ? "(Unable to extract text content)" : "（无法提取文本内容）";
+      const itemsText = newItems
+        .map((item) =>
+          [
+            `### [${item.title || item.url}](${item.url})`,
+            `- 分类: ${item.category} | 发布/更新: ${item.lastmod.slice(0, 10) || "未知"}`,
+            `- 内容节选: ${item.content || unableToExtract}`,
+          ].join("\n"),
+        )
+        .join("\n\n");
+
+      return `## ${siteName}（${mode}）\n\n${itemsText}`;
+    })
+    .join("\n\n---\n\n");
+
+  const firstRunNote =
+    lang === "en"
+      ? isAnyFirstRun
+        ? "This is the first full crawl. Please focus on the overall content landscape, historical context, and core themes of each site, rather than individual articles."
+        : "This is an incremental update. Please focus on today's new content and assess its strategic significance in context."
+      : isAnyFirstRun
+        ? "本次为首次全量抓取，请重点梳理各站点的内容格局、历史脉络与核心主题，而非仅关注单篇文章。"
+        : "本次为增量更新，请聚焦今日新增内容，并结合上下文判断其战略意义。";
+
+  if (lang === "en") {
+    return `You are a deep content analyst focused on AI, skilled at extracting strategic signals from official announcements, technical blogs, research papers, and product documentation.
+
+The following content was crawled on ${dateStr} from Anthropic (claude.com / anthropic.com) and OpenAI (openai.com). ${firstRunNote}
+
+${siteSections}
+
+---
+
+Generate a detailed AI Official Content Tracking Report in English with these sections:
+
+1. **Today's Highlights** — 3-5 sentences on the most important new releases or developments, calling out key highlights
+
+2. **Anthropic / Claude Content Highlights** — Organize important content by category (news / research / engineering / learn, etc.):
+   - For each piece, 2-4 sentences extracting core insights, technical details, or business significance
+   - Note publication date and original link
+   - If first full crawl, trace important milestones chronologically
+
+3. **OpenAI Content Highlights** — Same structure, organized by research / release / company / safety categories
+
+4. **Strategic Signal Analysis** — Based on both companies' release cadence and content focus, analyze:
+   - Each company's recent technical priorities (model capabilities / safety / productization / ecosystem)
+   - Competitive dynamics: who is setting the agenda, who is following
+   - Potential impact on developers and enterprise users
+
+5. **Notable Details** — Extract hidden signals from titles, phrasing, and timing, e.g.:
+   - New terms or topics appearing for the first time
+   - Dense releases in a category (may signal a product milestone)
+   - Policy, compliance, and safety developments
+
+${isAnyFirstRun ? "6. **Content Landscape Overview** — First full crawl only: summarize the content category distribution for both companies and describe their content strategy style (academic-oriented vs product-oriented vs user stories, etc.)\n\n" : ""}Style: English, professional and detailed, suited for AI researchers, product managers, and technical decision-makers. Every item must include official links.
+`;
+  }
+
+  return `你是一位专注于 AI 领域的深度内容分析师，擅长从官方公告、技术博客、研究论文和产品文档中提炼战略信号。
+
+以下是 ${dateStr} 从 Anthropic（claude.com / anthropic.com）和 OpenAI（openai.com）官网抓取的内容，${firstRunNote}
+
+${siteSections}
+
+---
+
+请生成一份详实的《AI 官方内容追踪报告》，包含以下部分：
+
+1. **今日速览** — 3~5 句话概括最重要的新发布或动向，点出核心亮点
+
+2. **Anthropic / Claude 内容精选** — 按分类（news / research / engineering / learn 等）逐条整理重要内容：
+   - 每篇用 2~4 句话提炼核心观点、技术细节或业务意义
+   - 标注发布日期和原文链接
+   - 如首次全量，按时间线梳理重要里程碑
+
+3. **OpenAI 内容精选** — 同上，按 research / release / company / safety 等分类整理
+
+4. **战略信号解读** — 基于两家公司的发布节奏和内容重点，分析：
+   - 各自近期的技术优先级（模型能力 / 安全 / 产品化 / 生态）
+   - 竞争态势：谁在引领议题，谁在跟进
+   - 对开发者和企业用户的潜在影响
+
+5. **值得关注的细节** — 从标题、措辞、发布时机中提取隐含信号，例如：
+   - 新兴词汇或话题的首次出现
+   - 某类主题的密集发布（可能预示产品节点）
+   - 政策、合规、安全方面的动向
+
+${isAnyFirstRun ? "6. **内容格局总览** — 首次全量独有：汇总两家公司各内容类别的数量分布，并说明各自的内容运营风格（学术导向 vs 产品导向 vs 用户故事等）\n\n" : ""}语言要求：中文，专业深入，内容详实，适合 AI 领域研究者、产品经理和技术决策者阅读。每个条目必须附上 GitHub/官网链接。
+`;
+}
+
+export function buildWeeklyPrompt(
+  dailyDigests: Record<string, string>,
+  weekStr: string,
+  lang: "zh" | "en" = "zh",
+): string {
+  const digestEntries = Object.entries(dailyDigests)
+    .map(([date, content]) => `## ${date}\n\n${content}`)
+    .join("\n\n---\n\n");
+
+  if (lang === "en") {
+    return `You are a technical analyst focused on the AI open-source ecosystem. The following are daily digest summaries from the past 7 days (${weekStr}) of AI tool community activity. Generate a comprehensive weekly recap.
+
+${digestEntries}
+
+---
+
+Generate an AI Tools Ecosystem Weekly Report with these sections:
+
+1. **Week's Top Stories** - 5-8 most important events, releases, and community developments this week, each with date
+2. **CLI Tools Progress** - Overall activity and key changes for each AI CLI tool (Claude Code, Codex, Gemini CLI, etc.)
+3. **AI Agent Ecosystem** - Key developments from OpenClaw and peer projects this week
+4. **Open Source Trends** - Most notable technical directions from GitHub Trending and AI community this week
+5. **HN Community Highlights** - Core AI discussion topics and community sentiment on Hacker News this week
+6. **Official Announcements** - Important content published by Anthropic and OpenAI this week (if any)
+7. **Next Week's Signals** - Based on this week's data, predict trends and upcoming events worth watching
+
+Style: English, concise and professional, helping technical developers quickly grasp the week's developments.
+`;
+  }
+
+  return `你是一位专注于 AI 开源生态的技术分析师。以下是过去 7 天（${weekStr}）的 AI 工具社区每日动态摘要，请生成本周综合回顾报告。
+
+${digestEntries}
+
+---
+
+请生成《AI 工具生态周报》，包含以下部分：
+
+1. **本周要闻** - 5-8 条本周最重要的事件、版本发布、社区动向，每条附日期
+2. **CLI 工具进展** - 各 AI CLI 工具（Claude Code、Codex、Gemini CLI 等）本周整体动态与关键变化
+3. **AI Agent 生态** - OpenClaw 及同赛道项目的本周重要进展
+4. **开源趋势** - 本周 GitHub Trending 和 AI 社区最关注的技术方向
+5. **HN 社区热议** - 本周 Hacker News AI 讨论的核心话题与社区情绪
+6. **官方动态** - Anthropic 和 OpenAI 本周发布的重要内容（若有）
+7. **下周信号** - 基于本周数据，预判值得关注的趋势或即将到来的事件
+
+语言要求：中文，简洁专业，适合技术开发者快速掌握一周动态。
+`;
+}
+
+export function buildMonthlyPrompt(
+  sourceDigests: Record<string, string>,
+  monthStr: string,
+  lang: "zh" | "en" = "zh",
+): string {
+  const digestEntries = Object.entries(sourceDigests)
+    .map(([key, content]) => `## ${key}\n\n${content}`)
+    .join("\n\n---\n\n");
+
+  if (lang === "en") {
+    return `You are a technical analyst focused on the AI open-source ecosystem. The following are ${monthStr} AI tool community digest summaries (${Object.keys(sourceDigests).length} reports total). Generate a comprehensive monthly review.
+
+${digestEntries}
+
+---
+
+Generate an AI Tools Ecosystem Monthly Report with these sections:
+
+1. **Month's Top Stories** - 5-10 most important events and milestones this month, in chronological order
+2. **CLI Tools Monthly Progress** - Overall development trajectory, major releases, and community growth for each key AI CLI tool
+3. **AI Agent Ecosystem Monthly Review** - Ecosystem landscape shifts, emerging projects, notable signals this month
+4. **Technical Trend Summary** - Most significant technical directions and paradigm shifts in AI open-source this month
+5. **Community Health Assessment** - Monthly activity comparison across major projects, developer engagement evaluation
+6. **Official Announcements Review** - Strategic analysis of Anthropic and OpenAI content published this month
+7. **Next Month's Outlook** - Based on this month's trends, predict key directions and potential events to watch
+
+Style: English, in-depth analysis, data-driven, suited for monthly retrospectives and strategic decision-making.
+`;
+  }
+
+  return `你是一位专注于 AI 开源生态的技术分析师。以下是 ${monthStr} 月的 AI 工具社区动态汇总（共 ${Object.keys(sourceDigests).length} 份报告），请生成本月综合回顾报告。
+
+${digestEntries}
+
+---
+
+请生成《AI 工具生态月报》，包含以下部分：
+
+1. **月度要闻** - 本月最重要的 5-10 条事件和里程碑，按时间排列
+2. **CLI 工具月度进展** - 各主要 AI CLI 工具本月整体发展轨迹、重要版本、社区规模变化
+3. **AI Agent 生态月报** - 本月生态格局变化、新兴项目、值得关注的信号
+4. **技术趋势总结** - 本月 AI 开源领域最显著的技术方向与范式变化
+5. **社区生态健康度** - 各主要项目月度活跃度对比、开发者参与度评估
+6. **官方动态回顾** - Anthropic 和 OpenAI 本月发布内容的战略意义分析
+7. **下月展望** - 基于本月趋势，预判值得重点关注的方向和潜在事件
+
+语言要求：中文，深度分析，数据驱动，适合月度复盘和战略决策参考。
+`;
+}
+
+export function buildHnPrompt(data: HnData, dateStr: string, lang: "zh" | "en" = "zh"): string {
+  const storiesText = data.stories
+    .map((s, i) =>
+      lang === "en"
+        ? `${i + 1}. **${s.title}**\n` +
+          `   Link: ${s.url}\n` +
+          `   Discussion: ${s.hnUrl}\n` +
+          `   Score: ${s.points} | Comments: ${s.comments} | Author: @${s.author} | 时间: ${s.createdAt.slice(0, 16)}`
+        : `${i + 1}. **${s.title}**\n` +
+          `   链接: ${s.url}\n` +
+          `   讨论: ${s.hnUrl}\n` +
+          `   分数: ${s.points} | 评论: ${s.comments} | 作者: @${s.author} | 时间: ${s.createdAt.slice(0, 16)}`,
+    )
+    .join("\n\n");
+
+  if (lang === "en") {
+    return `You are an AI industry news analyst. The following are AI-related top posts from Hacker News in the past 24 hours as of ${dateStr} (sorted by score, ${data.stories.length} total):
+
+---
+
+${storiesText}
+
+---
+
+Generate a structured Hacker News AI Community Digest in English:
+
+1. **Today's Highlights** — 3-5 sentences on the hottest AI discussion topics and community sentiment on HN today
+
+2. **Top News & Discussions** — Organized by category, select the 2-5 most representative items per category, each with:
+   - Title (with original link) + HN discussion link
+   - Score and comment count
+   - One sentence: why this matters, what the community's typical reaction is
+
+   Categories:
+   - 🔬 Models & Research (new model releases, papers, benchmarks)
+   - 🛠️ Tools & Engineering (open-source projects, frameworks, engineering practices)
+   - 🏢 Industry News (company news, funding, product launches)
+   - 💬 Opinions & Debates (notable Ask HN, Show HN, or hot discussion threads)
+
+3. **Community Sentiment Signal** — 100-200 words analyzing today's HN AI discussion mood and focus:
+   - Which topics are most active (high score + high comments)?
+   - Any clear points of controversy or consensus?
+   - Compared to last cycle, any notable shift in focus?
+
+4. **Worth Deep Reading** — List 2-3 pieces most worth developers/researchers reading in depth, with brief reasoning
+
+Style: English, concise and professional, preserve all original links.
+`;
+  }
+
+  return `你是 AI 行业资讯分析师。以下是 ${dateStr} 从 Hacker News 抓取的过去 24 小时内 AI 相关热门帖子（按分数降序，共 ${data.stories.length} 条）：
+
+---
+
+${storiesText}
+
+---
+
+请生成一份结构清晰的《Hacker News AI 社区动态日报》，要求：
+
+1. **今日速览** — 3~5 句话，概括今日 HN 社区围绕 AI 最热门的讨论方向和情绪
+
+2. **热门新闻与讨论** — 按以下分类整理，每类选取最具代表性的 2~5 条，每条包含：
+   - 标题（附原文链接）+ HN 讨论链接
+   - 分数和评论数
+   - 一句话说明：这条内容为什么值得关注，社区有何典型反应
+
+   分类：
+   - 🔬 模型与研究（新模型发布、论文、基准测试）
+   - 🛠️ 工具与工程（开源项目、框架、工程实践）
+   - 🏢 产业动态（公司新闻、融资、产品发布）
+   - 💬 观点与争议（值得关注的 Ask HN、Show HN 或热议帖子）
+
+3. **社区情绪信号** — 100~200 字，分析今日 HN AI 讨论的整体情绪和关注重点：
+   - 社区对哪类话题最活跃（高分 + 高评论）？
+   - 有无明显的争议点或共识？
+   - 与上周期相比，关注方向有无明显变化？
+
+4. **值得深读** — 列出 2~3 条今日最值得开发者/研究者深入阅读的内容，简述理由
+
+语言要求：中文，简洁专业，保留所有原文链接。
+`;
+}

From af4aac6fb3f7e66a4b00e594d8c931975da6d643 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E9=BB=84=E4=BA=91=E9=BE=99?=
 <76432572+nankingjing@users.noreply.github.com>
Date: Tue, 14 Jul 2026 09:31:18 +0800
Subject: [PATCH 4/4] fix(prompts): avoid extra space before Chinese section
 parentheses

---
 src/prompts.ts | 22 ++++++++++++++++++----
 1 file changed, 18 insertions(+), 4 deletions(-)

diff --git a/src/prompts.ts b/src/prompts.ts
index a5e303a..774a180 100644
--- a/src/prompts.ts
+++ b/src/prompts.ts
@@ -590,20 +590,34 @@ export function buildWebReportPrompt(
             ? `首次全量抓取（sitemap 共 ${totalDiscovered} 条 URL，以下为最新 ${newItems.length} 篇正文内容）`
             : `今日增量更新，共 ${newItems.length} 篇新内容`;
 
-      if (newItems.length === 0) return `## ${siteName}\n\n（${mode}，暂无可供分析的内容。）`;
+      if (newItems.length === 0) {
+        const emptyMsg =
+          lang === "en"
+            ? `(${mode}, no content available for analysis.)`
+            : `（${mode}，暂无可供分析的内容。）`;
+        return `## ${siteName}\n\n${emptyMsg}`;
+      }
 
       const unableToExtract = lang === "en" ? "(Unable to extract text content)" : "（无法提取文本内容）";
+      const itemLabels =
+        lang === "en"
+          ? { category: "Category", published: "Published/Updated", unknown: "Unknown", excerpt: "Excerpt" }
+          : { category: "分类", published: "发布/更新", unknown: "未知", excerpt: "内容节选" };
       const itemsText = newItems
         .map((item) =>
           [
             `### [${item.title || item.url}](${item.url})`,
-            `- 分类: ${item.category} | 发布/更新: ${item.lastmod.slice(0, 10) || "未知"}`,
-            `- 内容节选: ${item.content || unableToExtract}`,
+            `- ${itemLabels.category}: ${item.category} | ${itemLabels.published}: ${item.lastmod.slice(0, 10) || itemLabels.unknown}`,
+            `- ${itemLabels.excerpt}: ${item.content || unableToExtract}`,
           ].join("\n"),
         )
         .join("\n\n");
 
-      return `## ${siteName}（${mode}）\n\n${itemsText}`;
+      const sectionParen =
+        lang === "en"
+          ? ` (${mode})`
+          : `（${mode}）`;
+      return `## ${siteName}${sectionParen}\n\n${itemsText}`;
     })
     .join("\n\n---\n\n");