claude-skills
CLAUDE.md0 starsChanged 3 months agoMITView on GitHub
Personal library of Claude Code skills, one directory per skill, published via git. README.md is the human-facing index; this file is for whoever (Claude or Tomasz) is authoring or updating a skill here. Each skill is a self-contained folder at the repo root: Mirror truth-mode/ and blind-spots/ for structure and tone when adding a new one — short, why-explained instructions rather than rigid ALWAYS/NEVER lists, references split out by domain rather than one giant SKILL.md. Use the example-skills:skill-creator skill for…
In this repository2 other files it gives its agents.
- blind-spotsSkill
- truth-modeSkill
The file
We split this CLAUDE.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 20
Use the example-skills:skill-creator skill for this — don't hand-roll the eval loop.
- Very specific: line 27
Add a section to README.md under ## Skills, matching the existing entries: a linked heading, a 1-2 sentence description of what it does, …
- Very specific: line 28
No per-skill install section needed — the root ## Installing a skill section already generalizes (swap the folder name).
≈ “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
Personal library of Claude Code skills, one directory per skill, published via git. README.md is the human-facing index; this file is for whoever (Claude or Tomasz) is authoring or updating a skill here.
Layout convention
Each skill is a self-contained folder at the repo root:
<skill-name>/
├── SKILL.md required — YAML frontmatter (name, description) + instructions
├── references/ optional — domain-specific docs loaded on demand, linked from SKILL.md
└── evals/evals.json test prompts + assertions used to grade the skillMirror truth-mode/ and blind-spots/ for structure and tone when adding a new one — short, why-explained instructions rather than rigid ALWAYS/NEVER lists, references split out by domain rather than one giant SKILL.md.
Creating or iterating a skill
Use the example-skills:skill-creator skill for this — don't hand-roll the eval loop. It drives: draft SKILL.md → write realistic test prompts → spawn with-skill and without-skill subagent runs in parallel → grade against assertions → aggregate a benchmark → open a browser review viewer → collect feedback → revise.
Important: the eval workspace (per-iteration run outputs, grading.json, benchmark.json, feedback.json) is NOT kept in this repo. It lives on the local machine at ~/.agents/skills/<skill-name>-workspace/iteration-N/, sibling to ~/.agents/skills/<skill-name>/. Only the finished skill and its evals/evals.json (the prompts + assertions, reusable for the next person who iterates on it) get committed here.
Adding a skill to this repo
- Copy the finished skill folder in (
SKILL.md,references/,evals/evals.json— no workspace/run output). - Add a section to
README.mdunder## Skills, matching the existing entries: a linked heading, a 1-2 sentence description of what it does, and a sentence on what phrases/contexts trigger it. - No per-skill install section needed — the root
## Installing a skillsection already generalizes (swap the folder name).
License
Single LICENSE (MIT) covers every skill in the repo — don't add per-skill licenses.
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.

