agentleFS
silouonesilouone/skills/CLAUDE.md

skills

CLAUDE.md4 starsChanged 4 months agoMITView on GitHub

Agent skills for Claude Code and Codex. Local-only by design: every skill here reads and writes files on the runner's machine, and nothing is uploaded. AGENTS.md is a symlink to this file, so both agents read the same rules. One skill is one folder: SKILL.md is runtime-neutral prose. Where a runtime genuinely differs — config paths, a missing capability — name both cases inline (~/.claude/settings.json or ~/.codex/config.toml). A divergence too big to write that way earns its own section in…

The file

We split this CLAUDE.md into the rules it gives an agent

7 rules. About 0 are common, 2 are distinctive, and 5 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈2

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 5

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    Every skills/<name>/ has a SKILL.md whose frontmatter name equals the folder name.

    line 29
  2. Very specific:

    Every skill has agents/openai.yaml.

    line 32
  3. Very specific:

    Every skill is listed in .claude-plugin/plugin.json's skills array, with no stale entries.

    line 34
  4. Very specific:

    Run the check before every push.

    line 41
  5. Distinctive:

    Don't install both into the same runtime — you get every skill twice.

    line 61
  6. Very specific:

    Add ./skills/<name> to .claude-plugin/plugin.json's skills array and bump its version — Claude uses that version to decide when installed …

    line 77
  7. Distinctive:

    Add a row to the README table.

    line 80

≈ “Common” is an estimate: at least 1 in 5 of the 26,980 CLAUDE.md files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
CLAUDE.md

AGENTS.md

Agent skills for Claude Code and Codex. Local-only by design: every skill here reads and writes files on the runner's machine, and nothing is uploaded.

AGENTS.md is a symlink to this file, so both agents read the same rules.

Layout

One skill is one folder:

skills/<name>/
├── SKILL.md            # the skill; Claude Code reads its YAML frontmatter
├── agents/openai.yaml  # Codex reads this: display name, one-liner, policy
└── scripts/            # optional; anything the skill shells out to

SKILL.md is runtime-neutral prose. Where a runtime genuinely differs — config paths, a missing capability — name both cases inline (~/.claude/settings.json or ~/.codex/config.toml). A divergence too big to write that way earns its own section in the skill.

Invariants

Enforced by python3 tools/check_skills.py, not by discipline:

  1. Every skills/<name>/ has a SKILL.md whose frontmatter name equals the folder name. The frontmatter name is the invocation name — it is resolved from there, never from the directory.
  2. Every skill has agents/openai.yaml. Without it Codex falls back to the raw folder name and has no invocation policy.
  3. Every skill is listed in .claude-plugin/plugin.json's skills array, with no stale entries. That array is exactly what the plugin publishes.
  4. Invocation policy matches across the pair of files: user-invoked means disable-model-invocation: true in the frontmatter and policy.allow_implicit_invocation: false in openai.yaml. Model-invocable means neither.

Run the check before every push. After touching a manifest under .claude-plugin/, also run claude plugin validate . --strict.

Installing

Plugin — managed, updates when the repo ships:

/plugin marketplace add silouone/skills
/plugin install silouone-skills@silouone

Skills arrive namespaced — /silouone-skills:ingest.

skills.sh — editable files the user owns, on any agent:

npx skills@latest add silouone/skills

Don't install both into the same runtime — you get every skill twice.

Working on this repo: scripts/link-skills.sh symlinks every skill into ~/.claude/skills and ~/.codex/skills, so an edit here is live immediately. It refuses to replace a real directory (someone's own copy) and only ever clobbers a symlink. scripts/list-skills.sh prints the inventory. Both are maintainer tools, not the supported installer.

Adding a skill

  1. skills/<name>/SKILL.md with frontmatter name + description. The description is what makes the model reach for it: say what it does and when to use it.
  2. skills/<name>/agents/openai.yaml with interface.display_name, interface.short_description, and policy.allow_implicit_invocation matching the frontmatter.
  3. Add ./skills/<name> to .claude-plugin/plugin.json's skills array and bump its version — Claude uses that version to decide when installed users see an update.
  4. Add a row to the README table.
  5. python3 tools/check_skills.py and claude plugin validate . --strict.

The release checklist, the sanitization gate, and the local-only guarantee live in PUBLISHING.md. Read it before pushing.

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Your trail

Files you open will collect here, so you can find them again.

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Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.