claude-skills
CLAUDE.md1 starsChanged 5 months agoMITView on GitHub
Repository of generic, reusable skills for Claude Code. Each skill is a directory with a SKILL.md; users install via symlink into ~/.claude/skills/. See README.md for the user-facing skill list and other skill sources. One skill = skills/<slug>/ with a required SKILL.md (+ optional scripts/). scripts/build-api.sh aggregates every SKILL.md frontmatter into dist/api/ (a flat skills.json + one skills/<slug>.json per skill). name is what users type as /<name> — it can differ from the directory name (e.g. skills/session/ exposes itself as session-lookup).
In this repository3 other files it gives its agents.
- seo-checkSkill
- session-copySkill
- session-lookupSkill
The file
We split this CLAUDE.md into the rules it gives an agent
4 rules. About 0 are common, 2 are distinctive, and 2 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.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 33
No tests, no lint — skills are markdown.
- Distinctive: line 41
No legacy fallbacks in skill bodies — if a skill is renamed, update references rather than aliasing.
- Very specific: line 43
Keep SKILL.md under ~200 lines unless the skill genuinely needs more — long instructions mean the model picks up less of it.
- Very specific: line 48
Add : skills/<slug>/SKILL.md + row in README's ## Skills table + symlink into ~/.claude/skills/<slug> to test locally + …
≈ “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.
Files
claude-skills
Repository of generic, reusable skills for Claude Code. Each skill is a directory with
a SKILL.md; users install via symlink into ~/.claude/skills/. See README.md for
the user-facing skill list and other skill sources.
Structure
One skill = skills/<slug>/ with a required SKILL.md (+ optional scripts/).
scripts/build-api.sh aggregates every SKILL.md frontmatter into dist/api/ (a flat
skills.json + one skills/<slug>.json per skill).
SKILL.md frontmatter
---
name: <slug> # Falls back to dir name if absent
description: <one line> # Used by the model to decide relevance
disable-model-invocation: false
argument-hint: "[arg1|arg2]" # Optional, displayed in autocomplete
---name is what users type as /<name> — it can differ from the directory name (e.g.
skills/session/ exposes itself as session-lookup).
Commands
./scripts/build-api.sh # Regenerate dist/api/ JSON from all SKILL.mdNo tests, no lint — skills are markdown.
Conventions
- Slug = directory name when possible; a different
name:only when there's a meaningful reason (fs slug generic but the skill needs a specific public name). - Description must be specific enough for the model to decide whether to invoke — avoid vague descriptions like "helper for stuff".
- No legacy fallbacks in skill bodies — if a skill is renamed, update references rather than aliasing.
- Keep SKILL.md under ~200 lines unless the skill genuinely needs more — long instructions mean the model picks up less of it.
Adding / renaming a skill
- Add :
skills/<slug>/SKILL.md+ row in README's## Skillstable + symlink into~/.claude/skills/<slug>to test locally +./scripts/build-api.shif the JSON API is consumed externally. - Rename :
git mv skills/<old> skills/<new>, updatename:inSKILL.md+ README, replace the symlink.
Other repos contribute skills the same way (/data/oto/skills/, /data/howto/skills/,
etc.) — see README's "Other skill sources" table.
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.

