I build AI-native tools, agent workflows, and personal operating systems.
我在构建 AI 原生工具、Agent 工作流，以及个人操作系统。

I care about software that actually enters daily life: tools that help people think clearer, execute with less friction, and turn messy context into repeatable systems.

我关心的不是“看起来很 AI”的 demo，而是真正会进入日常生活和工作流的软件：帮助人更清楚地思考、更低摩擦地行动，并把混乱上下文变成可复用系统。

Right now, I’m especially interested in one question:

What happens when Codex, Feishu, GitHub, CLI tools, and agent skills become one continuous operating layer for a person?

我现在最感兴趣的问题是：

当 Codex、飞书、GitHub、CLI 工具和 Agent skills 连接成一个人的连续操作层，会发生什么？

In May 2026, most of my public work has been around four connected tracks:

2026 年 5 月，我公开项目里的近况主要集中在四条线：

I’m connecting coding agents to the places where real work already happens: Feishu/Lark, IM, GitHub, local CLIs, and long-running workspaces.

我在把 coding agent 接到真实工作已经发生的地方：飞书/Lark、IM、GitHub、本地 CLI 和长期运行的工作区。

• codex-remote-feishu: experimenting with Codex remote control from Feishu.
• feishu-claude-code-bridge: bridging Feishu/Lark messages with local Claude Code sessions.
• Claude-to-IM-skill: exploring how Claude Code / Codex can be operated from Telegram, Discord, or Feishu/Lark.

I’m turning repeated judgment-heavy work into reusable skills: business diagnosis, writing systems, presentation generation, IELTS coaching, and personal workflows.

我在把重复出现、但高度依赖判断力的工作沉淀成可复用 skills：商业诊断、写作系统、PPT 生成、雅思教练和个人工作流。

• dbskill: dontbesilent business diagnosis skills.
• wechat-writing-style: a Chinese editorial writing system for public-account style and structure.
• guizang-ppt-skill: agent skill for generating polished HTML slide decks.
• ielts-claude-skills: AI coaching skills for IELTS writing, reading, and speaking.

I like CLIs because they force a workflow to become explicit enough for agents to operate.

我喜欢 CLI，因为它会逼迫一个工作流变得足够明确，明确到 Agent 可以接手执行。

• boss-agent-cli: an agent-first CLI for BOSS 直聘 workflows, from search and filtering to recruiter operations and resume optimization.

I’m also exploring small products where taste, narrative, and interface design matter as much as the model.

我也在探索一些小型产品：在这些产品里，审美、叙事和界面设计与模型能力同样重要。

• cover-generator: AI-assisted cover generation for Xiaohongshu creators.
• tarot: an AI-native tarot product blending interface, narrative, and lightweight intelligence.
• canvas: an AI-native creative workspace for structured visual workflows.
• inkplotWorkshop: a narrative-to-storyboard workshop for short-drama and visual storytelling.

The common thread is simple:

I like products that reduce coordination cost, not just manual effort.

这些项目背后的共同点很简单：

我喜欢减少协作成本的软件，而不只是减少手工操作的软件。

• Agent-first workflows: turning real human workflows into structured, callable infrastructure. Agent-first 工作流：把真实的人类工作流变成结构化、可调用的基础设施。
• Personal operating systems: using tasks, docs, journals, reviews, and automations to support self-direction. 个人操作系统：用任务、文档、日志、复盘和自动化支持自我驱动。
• Productized judgment: packaging taste, diagnosis, growth thinking, and execution rules into reusable tools. 判断力产品化：把审美、诊断、增长思维和执行规则封装成可复用工具。
• AI-native product management: learning how to go from idea, build, launch, feedback, and monetization as one loop. AI 时代产品经理：学习如何把 idea、开发、上线、反馈和赚钱闭环连起来。

• A good AI product is not “AI + interface”; it is a redesigned workflow. 好的 AI 产品不是“AI + 界面”，而是重新设计过的工作流。
• Agents need structure, memory, tools, and permissions, not just better prompts. Agent 需要结构、记忆、工具和权限，而不只是更好的提示词。
• CLI, docs, tasks, skills, and automations are all product surfaces. CLI、文档、任务、skills 和自动化，本质上都可以是产品界面。
• Personal systems are worth building because real workflows are always messy first. 个人系统值得被认真构建，因为真实工作流一开始永远是混乱的。
• Product taste matters more in the AI era, not less. AI 时代，产品审美不是变得不重要，而是更重要。

• building a Feishu + Codex + GitHub personal COO system 构建飞书 + Codex + GitHub 的 Personal COO 系统
• turning repeated work into reusable agent skills 把重复劳动沉淀成可复用的 Agent skills
• making tools operable from chat, CLI, docs, and automation surfaces 让工具可以从聊天、CLI、文档和自动化界面里被调用
• designing small AI-native products that can actually be used every day 设计真正能被每天使用的小型 AI 原生产品

Build tools that earn a place in someone’s daily workflow.
做那种值得进入用户日常工作流的工具。

Make good judgment operational.
让好的判断力变成可执行系统。

Keep the interface simple, but make the underlying system serious.
界面可以简单，但底层系统要认真。

Ship, observe reality, and let feedback update the system.
发布，观察现实反馈，然后让系统随之更新。

• GitHub: @Fmaverick

If you’re building AI tools, agent workflows, or opinionated software for real human systems, I’d love to see what you’re working on.

如果你也在做 AI 工具、Agent 工作流，或者服务真实人类系统的强观点软件，我很愿意看看你在做什么。