skills
AGENTS.md1 starsChanged 20 days agoMITView on GitHub
nstarman/skills is the registry and clearinghouse for the agent skills Nathaniel Starkman publishes: every skill is registered here, wherever its files live, and listed, validated and installed from here. Read .specify/memory/constitution.md first; it overrides this file. A top-level folder with a SKILL.md is a local skill; nothing else is (.claude/, .specify/, .github/, registry/, scripts/, specs/, tests/ never are). 1. Add <skill>/SKILL.md (frontmatter name = folder name, [a-z0-9-], ≤ 64 characters; description ≤ 1024 characters) and <skill>/card.json: ref is a branch…
- Reads credentials
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 31,774 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 repository17 other files it gives its agents.
- speckit-analyzeSkill
- speckit-checklistSkill
- speckit-clarifySkill
- speckit-constitutionSkill
- speckit-convergeSkill
- speckit-implementSkill
- speckit-planSkill
- speckit-specifySkill
- speckit-tasksSkill
- speckit-taskstoissuesSkill
- diataxisSkill
- engaging-hybrid-computeSkill
- quarto-revealjsSkill
- submit-hybrid-computeSkill
- syw-adopt-overleafSkill
- syw-overleaf-dropboxSkill
- syw-zenodo-cacheSkill
The file
We split this AGENTS.md into the rules it gives an agent
3 rules. About 0 are common, 0 are distinctive, and 3 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈0
Distinctive · estimate
This author's own choices. Worth a look.
3
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 25
Add <skill>/SKILL.md (frontmatter name = folder name, [a-z0-9-], ≤ 64 characters.
- Very specific: line 35
Add registry/<name>.json — no change is needed in the other repository:
- Very specific: line 50
Never edit index.json, .claude-plugin/marketplace.json or the README's generated sections by hand: change the skill or the registry entry …
≈ “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
AGENTS.md
nstarman/skills is the registry and clearinghouse for the agent skills Nathaniel Starkman
publishes: every skill is registered here, wherever its files live, and listed, validated and
installed from here. Read .specify/memory/constitution.md first; it overrides this file.
Layout
<skill>/ a local skill: SKILL.md, card.json, references/, assets/, scripts/
registry/<name>.json a skill that lives in another repository (pointer, not a copy)
index.json generated: every skill — the contract the website reads
.claude-plugin/marketplace.json generated: the Claude Code marketplace `nstarman-skills`
README.md the skill table and install section are generated (between markers)
scripts/ skillreg.py (shared), build_index.py, release_zips.py, bump_refs.py
tests/ python -m unittest discover tests
.specify/, specs/ Spec Kit (v1.1.3); features go specify → plan → tasks → implementA top-level folder with a SKILL.md is a local skill; nothing else is (.claude/, .specify/,
.github/, registry/, scripts/, specs/, tests/ never are).
Adding a local skill
- Add
<skill>/SKILL.md(frontmattername= folder name,[a-z0-9-], ≤ 64 characters;description≤ 1024 characters) and<skill>/card.json:{ "name": "<skill>", "description": "One or two plain sentences, present tense, for people browsing." } python scripts/build_index.pyand commit the regenerated files.- Open a pull request (squash merge).
Registering a skill from another repository
- Add
registry/<name>.json— no change is needed in the other repository:{ "name": "<name>", "description": "One or two plain sentences for people browsing.", "source": { "repo": "owner/repo", "path": "skills/<name>", "ref": "main" } }refis a branch (the skill tracks it) or a tag (a versioned skill; the weekly bump job keeps it current). Register only skills meant for others, not a repository's internal tooling. python scripts/build_index.py --remote(checks the skill'sSKILL.mdatrepo/path/ref), commit, open a pull request.
Generated files and checks
Never edit index.json, .claude-plugin/marketplace.json or the README's generated sections by
hand: change the skill or the registry entry and run python scripts/build_index.py.
check.yml runs on every pull request and push: unit tests, build_index.py --check --remote
(formats, unique names, every SKILL.md at its real location, claude.ai limits, freshness) and
claude plugin validate ..
End-to-end tests of a skill
A skill that documents a fast-moving tool can have a behaviour test under
tests/skills/<skill>/ (a run.sh plus fixtures) and its own workflow
(.github/workflows/test-<skill>.yml) that runs it weekly against the latest upstream release and
on pull requests touching the skill. These tests may install third-party tools (Quarto, Playwright,
Chrome, Sphinx, Zensical); the standard-library rule is for scripts/. A scheduled failure opens an
issue, and the skill's UPDATING.md says how to bring it current. Today: quarto-revealjs,
diataxis. Every script a skill ships also has a unit test in tests/test_*.py (stubs on PATH
stand in for ssh, Slurm and the like), so check.yml covers it.
Everything here is public, not only the skills: no personal details (usernames, home paths, password-manager items, project or
paper names, record IDs); use placeholders such as <kerb> or op://<vault>/<item>. Before a
pull request, run python scripts/personal_check.py. It reads its patterns from
~/.config/skills/personal-strings.txt, kept outside the repository because the list is itself
personal, so CI skips it.
Releases and zips
Versions are dates, as in figpress-apps and syw-site: a release is vYYYY.MM.DD; a second release on the
same day is vYYYY.MM.DD.2, and so on. Every release is a complete snapshot of all skills, so
nothing is backported here.
release.yml builds one zip per skill (the skill's folder, without card.json; external skills at
their ref) on every push to main, weekly and by hand, and publishes a release tagged
vYYYY.MM.DD only when a zip changed. https://github.com/nstarman/skills/releases/latest/download/<name>.zip
is the stable link (it 404s until the first release exists).
bump-refs.yml runs weekly: for tag-pinned entries it opens (or updates) one pull request moving
them to their repository's latest release (date tags sort after older semver tags, e.g. figpress-apps'
v2026.10.30 after v0.2.0). Pull requests opened by GITHUB_TOKEN do not trigger
CI; the job validates and puts the output in the pull request — re-run checks before merging.
How it reaches the website
nstarman/nstarman.github.io reads
index.json; nothing here pushes to it. Its weekly refresh-skills.yml (or a manual run) runs
scripts/collect-skills.mjs, which writes config/skills.json for the Agent Skills section of
/tools/ and opens a pull request on the site when it changed.
index.json (schema 1) is a contract: adding an optional field keeps schema: 1; removing or
renaming a field, or changing its meaning, makes it schema: 2 and must be coordinated with the
collector, which refuses an unknown schema rather than showing a broken section.
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.

