agent-skills
AGENTS.md1 starsChanged 21 days agoMITView on GitHub
Skills are organized under skills/<category>/<skill-name>/. For project orientation, upstream ownership, or changes spanning skill families, read the library architecture. Read skills from this repository's skills/ tree, not from installed copies, which lag until a refresh. Whenever a PR in this repository merges, refresh the installed copies without asking first: run git fetch origin main, then python3 scripts/check-installs.py and the refresh command it prints, until it reports none stale. Vocabulary lives in GLOSSARY.md and decisions in docs/adr/; the docs index separates…
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 repository107 other files it gives its agents.
- audit-agent-documentationSkill
- automate-meSkill
- babysit-and-shipSkill
- chief-of-staffSkill
- coordinatorSkill
- figure-it-outSkill
- git-guardrailsSkill
- maintain-skillsSkill
- principlesSkill
- pstack-helpSkill
- pstack-modeSkill
- pstack-setupSkill
- recallSkill
- reflectSkill
- retroSkill
- setup-matt-pocock-skillsSkill
- show-me-your-workSkill
- swarmSkill
- usage-reviewSkill
- wizardSkill
- writing-for-agentsSkill
- broSkill
- in-your-own-wordsSkill
- ketchupSkill
- ketchup-videoSkill
- next-optionsSkill
- prSkill
- reply-shapeSkill
- teachSkill
- technical-writingSkill
- unslopSkill
- write-like-meSkill
- correctSkill
- create-formal-verification-skillSkill
- create-verification-skillSkill
- diagnosing-bugsSkill
- implementSkill
- implement-specSkill
- linting-alignmentSkill
- maintain-formal-verification-skillSkill
- maintain-verification-skillSkill
- make-bot-uiSkill
- pstack-tddSkill
- setup-agent-sign-inSkill
- setup-pre-commitSkill
- setup-ts-deep-modulesSkill
- statechartSkill
- tddSkill
- typescript-best-practicesSkill
- update-dependenciesSkill
- architectSkill
- arenaSkill
- codebase-designSkill
- design-prototypeSkill
- domain-modelingSkill
- grillingSkill
- grill-meSkill
- grill-with-docsSkill
- howSkill
- improve-codebase-architectureSkill
- The first 60 shown.
The file
We split this AGENTS.md into the rules it gives an agent
6 rules. About 0 are common, 5 are distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈5
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 9
Every published skill must:
- Distinctive: line 12
use a lowercase, hyphenated name that matches its directory.
- Distinctive: line 13
keep conditional reference material inside its own directory.
- Very specific: line 15
keep Codex metadata in agents/openai.yaml synchronized with its invocation mode.
- Distinctive: line 27
Treat each skill as a predictable process.
- Distinctive: line 29
Use terse imperative commit titles without conventional-commit prefixes.
≈ “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 guidance
Skills are organized under skills/<category>/<skill-name>/.
For project orientation, upstream ownership, or changes spanning skill families, read the library architecture.
Read skills from this repository's skills/ tree, not from installed copies, which lag until a refresh. Whenever a PR in this repository merges, refresh the installed copies without asking first: run git fetch origin main, then python3 scripts/check-installs.py and the refresh command it prints, until it reports none stale. Vocabulary lives in GLOSSARY.md and decisions in docs/adr/; the docs index separates current guidance from dated evidence. Before adding, moving, removing, or redescribing a skill, read the change set in Contributing.
Every published skill must:
- contain a
SKILL.mdwith stringnameanddescriptionfields; - use a lowercase, hyphenated name that matches its directory;
- keep conditional reference material inside its own directory;
- appear in both the top-level
README.mdand its categoryREADME.md; - keep Codex metadata in
agents/openai.yamlsynchronized with its invocation mode; and - pass
pnpm checkbefore publication, after formatting changed files withpnpm fmt <files>(oxfmt).
Invocation has two modes:
- User-invoked skills set
disable-model-invocation: trueandpolicy.allow_implicit_invocation: false. Their description is a short human-facing summary. - Model-invoked skills omit both restrictions. Their description names the distinct branches that should trigger the skill.
Express dependencies as /skill-name prose invocation. Keep shared reference material with the skill that owns it; another skill reaches that material by invoking its owner. Because the Skills CLI does not install dependencies transitively, document required installation pairs in the top-level README.
For skills derived from external sources, maintain a skill-local UPSTREAM.md with source identity, tracking policy, imported and reviewed revisions, license attribution, local adaptations, and update decisions. /maintain-skills discovers these records; its provenance guidance describes how to add or repair one.
Treat each skill as a predictable process. Ordered steps end with checkable, exhaustive completion criteria. Keep one source of truth for each rule, disclose branch-specific reference behind a precise pointer, and remove instructions that do not change agent behavior.
Use terse imperative commit titles without conventional-commit prefixes.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
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.

