skills
AGENTS.md2 starsChanged 53 days agoMITView on GitHub
This repository owns reusable agent skills and thin agent adapters. Keep it small, explicit, and portable across supported agent harnesses. - Put stable software-engineering skills under skills/engineering/<name>/. - Every skill directory requires SKILL.md and agents/openai.yaml. - Define each agent once in agents/<name>/agent.yaml plus instructions.md. The harness adapters (claude.md, opencode.md, codex.toml, codex-profile.toml) are generated from that source with equip-it generate and stay committed; never edit them by hand. - Keep the installer CLI in cli/; it bundles skills/ and agents/ into…
Where files are headingNew AGENTS.md files have more rules about keeping secrets out of the code, and fewer about code style.
Of the AGENTS.md files we read, the 31,843 first seen in the last six months, against the older ones: the kind of rule that gained most share, and the kind that lost most. About files like this in general, not this one, and an estimate, since a kind is a pattern in the words.
In this repository22 other files it gives its agents.
- ask-barbara-liskovSkill
- ask-donald-knuthSkill
- ask-john-ousterhoutSkill
- ask-kent-beckSkill
- ask-linus-torvaldsSkill
- ask-martin-fowlerSkill
- ask-rich-hickeySkill
- aureliusSkill
- conventional-commitSkill
- craft-itSkill
- create-pull-requestSkill
- define-goalSkill
- drive-itSkill
- nextjs-feature-architectureSkill
- own-itSkill
- plan-itSkill
- pr-review-loopSkill
- review-itSkill
- scaffold-itSkill
- shape-itSkill
- summarize-itSkill
- to-issuesSkill
The file
Show its rules and text
We split this AGENTS.md into the rules it gives an agent
18 rules. About 0 are common, 10 are distinctive, and 8 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈10
Distinctive · estimate
This author's own choices. Worth a look.
8
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 8
Put stable software-engineering skills under skills/engineering/<name>/.
- Very specific: line 9
Every skill directory requires SKILL.md and agents/openai.yaml.
- Very specific: line 14
Keep the installer CLI in cli/.
- Distinctive: line 16
Keep optional scripts, references, and assets inside the skill that owns them.
- Distinctive: line 17
Keep CLAUDE.md as a symlink to AGENTS.md.
- Distinctive: line 19
Keep the top-level README.md and the relevant bucket README.md in sync with every added, renamed, moved, or removed skill.
- Very specific: line 21
Keep agents/README.md and the top-level README.md in sync with agent changes.
- Very specific: line 23
Use scripts/ only for repository-wide maintenance helpers.
- Distinctive: line 34
Write reusable instructions and repository documentation in English.
- Very specific: line 35
Write Markdown prose as one sentence or clause per line.
- Distinctive: line 38
Use model invocation when the agent can usefully discover the skill from the task context.
- Very specific: line 48
Use agents for execution context, role, tool boundaries, or context isolation.
- Very specific: line 50
Keep adapters thin. Route to skills by name instead of copying their rules.
- Distinctive: line 53
Prefer a small set of durable roles over overlapping specialist agents.
- Distinctive: line 68
Do not commit, push, publish, request external review, or merge unless the user explicitly asks for that action.
- Distinctive: line 70
Do not weaken approval gates while adapting a skill to another harness.
- Distinctive: line 71
Treat existing skill behavior as deliberate until a requested revision says otherwise.
- Distinctive: line 76
Run these checks after changing the repository:
≈ “Common” is an estimate: at least 1 in 5 of the 40,246 AGENTS.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.
Files
Repository Guidelines
This repository owns reusable agent skills and thin agent adapters. Keep it small, explicit, and portable across supported agent harnesses.
Structure
- Put stable software-engineering skills under
skills/engineering/<name>/. - Every skill directory requires
SKILL.mdandagents/openai.yaml. - Define each agent once in
agents/<name>/agent.yamlplusinstructions.md. The harness adapters (claude.md,opencode.md,codex.toml,codex-profile.toml) are generated from that source withequip-it generateand stay committed; never edit them by hand. - Keep the installer CLI in
cli/; it bundlesskills/andagents/into the published package at pack time. - Keep optional scripts, references, and assets inside the skill that owns them.
- Keep
CLAUDE.mdas a symlink toAGENTS.md; do not duplicate repository instructions by harness. - Keep the top-level
README.mdand the relevant bucketREADME.mdin sync with every added, renamed, moved, or removed skill. - Keep
agents/README.mdand the top-levelREADME.mdin sync with agent changes. - Use
scripts/only for repository-wide maintenance helpers.
GLOSSARY.md at the repository root is the canonical domain language. Use
those terms exactly. Do not invent synonyms for a defined term.
Writing skills
Read and apply the skill philosophy before adding, revising, or reviewing a skill. It defines the repository's rules for skill scope, triggering, structure, writing, safety, and validation.
- Write reusable instructions and repository documentation in English.
- Write Markdown prose as one sentence or clause per line. Keep every line
under 120 characters;
check-skills.shfails on longer ones. - Match the directory name and the
namefield inSKILL.mdexactly. - Use model invocation when the agent can usefully discover the skill from the task context. Use user-only invocation only for workflows that should start exclusively by an explicit human command, and encode that choice for every supported harness.
- Give every
agents/openai.yamladisplay_name,short_description, anddefault_prompt. Declare invocation policy only when it deviates from the harness default of model invocation, mirroring the frontmatter convention.
Writing agents
- Use agents for execution context, role, tool boundaries, or context isolation; keep reusable knowledge and procedures in skills.
- Keep adapters thin. Route to skills by name instead of copying their rules.
- Preserve the same role and safety boundary across harnesses while using each harness's native format.
- Prefer a small set of durable roles over overlapping specialist agents.
Releases
- The npm package
equip-itis versioned with Changesets: add a changeset (pnpm changeset) to every release-worthy change. The release workflow opens a version PR onmain; merging it publishes to npm. - Publishing happens only from
release.ymlthrough npm trusted publishing (OIDC). Never publish manually:publishConfig.provenancerejects publishes outside a supported CI, andpnpm releaserefuses to run outside GitHub Actions. Keep both guards in place.
Safety
- Preserve unrelated working-tree changes.
- Do not commit, push, publish, request external review, or merge unless the user explicitly asks for that action.
- Do not weaken approval gates while adapting a skill to another harness.
- Treat existing skill behavior as deliberate until a requested revision says otherwise.
Verification
Run these checks after changing the repository:
bash -n scripts/*.sh
./scripts/check-skills.sh
./scripts/check-agents.sh
node ./scripts/check-relative-links.mjs
./scripts/link-skills.sh --dry-run
./scripts/link-agents.sh --dry-run
pnpm check
git diff --checkInspect the final diff and Git status before handing work back.
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Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
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.

