ai-config

Portable AI agent config — skills, memories, and commands synced across machines via git. Works with Claude Code, Codex, Gemini CLI, VS Code Copilot, and any agent that reads markdown instruction files.

Each top-level subdir is symlinked into the appropriate consumer directory by bootstrap.sh.

Setup on a new machine

git clone https://github.com/d-morrison/ai-config.git ~/ai-config
bash ~/ai-config/bootstrap.sh

Rerun bootstrap.sh any time a new top-level dir is added to the repo.

Verify the install

After bootstrapping, confirm the symlinks resolved and the skills are visible:

ls -l ~/.claude/skills ~/.claude/commands ~/.codex/skills ~/.gemini/skills
scripts/inventory.sh                         # live counts of skills/wrappers/commands/docs

In a Claude Code session, type / and confirm the skills appear (e.g. /scout-peers, /ardi).

Codex wrappers

The canonical workflow bodies stay in skills/ for Claude Code. The generated codex-skills/ tree contains thin Codex-compatible wrappers with strict name/description frontmatter. Each wrapper tells Codex to read the matching canonical skill from skills/<name>/SKILL.md and adapt Claude-only metadata or tools to the current Codex session.

bootstrap.sh links those wrappers into ${CODEX_HOME:-$HOME/.codex}/skills. After adding or editing a canonical skill, regenerate the wrappers:

python3 scripts/sync-codex-skill-wrappers.py

Tool mappings

The canonical skills name concrete tools — mostly gh/git commands. So a non-Claude model knows what to run, tool-mappings.yml maps each canonical operation (e.g. VIEW_PR, CREATE_ISSUE, PUSH) to its GitHub MCP equivalent, with a per-model resolution rule (Codex, Copilot, and a generic CLI fallback). The sync script above embeds this table into every Codex wrapper and renders the full reference at tool-mappings.md. Edit the .yml, then rerun the script — CI fails if either output is stale.

A handful of the highest-traffic skills (ard, ardi, claim-pr, pr-status) go a step further and name the operation token inline next to the concrete command (e.g. gh pr comment <N> ... # COMMENT_PR), so a non-Claude wrapper can resolve by token instead of pattern-matching the gh command. This is a pilot (ai-config#195) — the rest of the corpus still names only concrete commands. scripts/validate-skills.py lints every such token against the registry, so a typo'd token fails CI instead of silently not resolving for other models.

Claude Code on the web

In cloud (web) sessions you can't run bootstrap.sh by hand, and the environment "Setup script" runs at build time before this repo is checked out — so it can't reference bootstrap.sh either. Instead, the committed SessionStart hook (.claude/settings.json → .claude/hooks/session-start.sh) runs bootstrap.sh once the repo is on disk, symlinking skills/ and commands/ into ~/.claude/. The hook is a no-op outside remote sessions (CLAUDE_CODE_REMOTE) and idempotent, so local machines are unaffected.

The same hook also installs Julia (via juliaup) on the first session start, since the base web image ships none. The install is guarded (a no-op once Julia is present) and non-fatal — it only succeeds if the environment's network policy allowlists the Julia download hosts. See docs/julia-setup.md for the allowlist and a build-time alternative.

Use these skills in another repo's web sessions (plugin marketplace)

The SessionStart hook above only fires when ai-config itself is the open project. To get these skills when a different repo is open in a cloud session — where that repo's hooks know nothing about ai-config, ~/.claude starts empty, and skills uploaded to claude.ai/customize do not cross over into Claude Code — this repo also publishes itself as a plugin marketplace.

The repo is simultaneously:

• the marketplace — .claude-plugin/marketplace.json
• a single plugin — .claude-plugin/plugin.json with source: "./", which bundles the existing top-level skills/ and commands/ (no duplication; skills/ and commands/ are auto-discovered at the plugin root).

To load these skills in another repo's cloud sessions, commit this to that repo's .claude/settings.json:

{
  "extraKnownMarketplaces": {
    "d-morrison": {
      "source": { "source": "github", "repo": "d-morrison/ai-config" }
    }
  },
  "enabledPlugins": {
    "ai-config@d-morrison": true
  }
}

Claude Code installs the plugin at session start (needs network access to reach GitHub). Plugin skills are namespaced, e.g. /ai-config:reprexes, /ai-config:grade-work.

Locally (or to try it), run these as slash commands inside a Claude Code session (or prefix with claude to run them in a terminal):

/plugin marketplace add d-morrison/ai-config
/plugin install ai-config@d-morrison

No version is pinned, so every commit to this repo counts as a new version — sessions with marketplace auto-update pick up the latest automatically.

Use these skills with this repo's own @claude bot

The two mechanisms above cover the CLI (~/.claude/skills via bootstrap.sh) and other repos' cloud sessions (the plugin marketplace). The third surface is the @claude CI bot running on this repo's PRs/issues (.github/workflows/claude-bot.yml).

That bot runs claude-code-action, which does not auto-discover skills from ~/.claude (the runner's home is fresh) or from a plugin unless it's installed. It does load project skills from .claude/skills/ in the checked-out repo.

The .claude/skills → ../skills symlink is committed to this repo. It works via a subtle two-step mechanism:

1. claude-code-action has a security feature called restoreConfigFromBase that, for every PR, restores .claude/ from the base branch (main) using git checkout origin/main -- .claude. This prevents malicious PR branches from injecting hooks or settings.
2. Because .claude/skills is committed to main, restoreConfigFromBase always restores the symlink — even if the PR branch doesn't have it.
3. git checkout origin/main -- .claude correctly materializes the symlink on disk (unlike gh pr checkout, which dropped it due to core.symlinks handling — a separate failure mode that was the original blocker).

Once the symlink is in place every top-level skill becomes available to the bot by bare name. Comment @claude ardi (or any other skill trigger) on a PR or issue and the bot can invoke the ardi skill, exactly like the local CLI does. No duplication (skills/ stays the one source of truth) and new skills are picked up automatically.

Note: On PRs that predate the merge of this feature to main, the symlink is absent (restoreConfigFromBase restores from the main at the time Claude runs). Skills become available to the bot for all sessions after this PR merges.

Deconflicting parallel local sessions

When several AI sessions have the same local checkout open at once (two Claude Code tabs, a CLI + the IDE extension, two terminals) they can clobber each other — branch switches under uncommitted edits, racing pushes, duplicate builds. The session-lock skill (alias deconflict-sessions) is the local-filesystem counterpart to claim-pr: a small registry CLI (skills/session-lock/scripts/ai-session.sh) keeps a machine-local list of active sessions under .git/ai-sessions/, so sessions can see each other, refuse to share a working tree, isolate into a git worktree, and auto-recover after a crash. There's an optional SessionStart hook for hands-off registration. See docs/local-session-deconfliction.md.

Quality gates

Two lightweight checks keep the skill catalog well-formed:

• CI (.github/workflows/validate.yml) runs scripts/validate-skills.py (every SKILL.md has valid frontmatter, codex-skills/ is in sync, and the manifests are valid JSON) and scripts/check-links.py (no broken relative markdown links) on every push and PR.
• Pre-commit (.pre-commit-config.yaml) adds local secret-scanning (gitleaks) plus the same two validators. Enable once with pre-commit install.

Run them by hand any time:

python3 scripts/validate-skills.py
python3 scripts/check-links.py

Ideas borrowed from comparable projects (and their licenses) are recorded in CREDITS.md; see the scout-peers skill for the survey behind them.

What's tracked

• skills/ — reusable workflow skills (~/.claude/skills/)
• codex-skills/ — generated Codex wrappers (~/.codex/skills/)
• tool-mappings.yml / tool-mappings.md — cross-model tool registry and its generated reference (see Tool mappings above)
• commands/ — slash commands (~/.claude/commands/)
• memories/ — persistent notes & preferences (symlinked into VS Code Copilot memory dir)
• references/ — reviewed reference material / worked examples (e.g. a cloud Setup script). Documentation only: bootstrap.sh skips it, so it is not symlinked into ~/.claude.
• shared/ — single-topic guidance fragments shared with the UCD-SERG lab manual (see below).

Shared content (shared/)

shared/ holds small, single-topic markdown fragments for guidance that lives in both this repo and the UCD-SERG lab manual (coding style, writing style, PR/agent workflow). Each fragment is the one source of truth for its topic, and two consumers pull it in:

• CLAUDE.md imports it with Claude Code's @path syntax (e.g. @shared/writing/plain-prose.md). Harness-only specifics (skill names, queue keywords) stay inline in CLAUDE.md around the import.
• The lab manual transcludes the same file with {{< include .ai-config/shared/<area>/<topic>.md >}} (e.g. .ai-config/shared/writing/plain-prose.md), via its .ai-config git submodule (this repo). Manual-specific framing stays in the .qmd around the include.

Conventions for fragments:

• Write in an audience-neutral voice that reads correctly for both a lab member and an agent. Keep first-person and harness/skill references out of the fragment body.
• Keep them ASCII — write --- for em-dashes and straight quotes — so the lab manual's non-standard-character check passes when it includes them.

bootstrap.sh symlinks shared/ into ~/.claude/, so @shared/... imports resolve in local CLI sessions; the @claude CI bot reads shared/ from the repo root.

Vendored from wai (shared/vendored/)

A few fragments are authored in d-morrison/wai instead (prompt formats, the Copilot-review workflow) — that repo hosts the UCD-SERG lab's "Working with AI" notes, migrated out of the lab manual once they outgrew a single chapter. This repo can't add wai as a submodule — wai already submodules this repo, and a mutual submodule would recurse — so it keeps a pinned copy under shared/vendored/, recorded in shared/vendored/MANIFEST.json (source repo, per-file commit, and content sha256). CLAUDE.md @-imports the copies the same way as any other fragment.

Don't edit the vendored copies here — edit them in wai. scripts/check-vendored-drift.py (run by validate.yml) recomputes each copy's hash and fails CI if it stops matching the manifest. The Sync from wai workflow (.github/workflows/sync-from-wai.yml) refreshes them weekly — via d-morrison/gha's sync-shared-fragments — and opens a PR when the upstream files change.

Add more by creating a top-level dir here (e.g., agents/, output-styles/) and rerunning bootstrap.sh.

What's deliberately NOT tracked

These are either machine-specific, sensitive, or pure session state:

• settings.json / settings.local.json — permission allowlists and additionalDirectories bake in absolute paths and per-machine choices. (This is the user-level ~/.claude/settings.json. The repo-root .claude/settings.json is a different thing — project-level hooks config for the web SessionStart hook above — and is intentionally tracked.)
• sessions/, history.jsonl, tasks/, plans/, projects/ — session and per-CWD memory state, keyed by absolute home path.
• cache/, shell-snapshots/, file-history/, ide/, telemetry/, backups/, downloads/, session-env/ — ephemera.
• plugins/ — managed by Claude Code itself from marketplaces.

If a per-machine variation appears that's worth syncing (e.g., a global CLAUDE.md), add it as a top-level entry here and update bootstrap.sh only if it needs special handling beyond a directory symlink.

Similar projects

Other AI coding-agent skill and config repos worth a look for ideas or comparison:

• addyosmani/agent-skills -- production-grade engineering skills for AI coding agents (Claude Code, Codex, Cursor, and others).