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tblachowicztblachowicz/claude-skills/CLAUDE.md

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…

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
  1. Very specific:

    Use the example-skills:skill-creator skill for this — don't hand-roll the eval loop.

    line 20
  2. Very specific:

    Add a section to README.md under ## Skills, matching the existing entries: a linked heading, a 1-2 sentence description of what it does, …

    line 27
  3. Very specific:

    No per-skill install section needed — the root ## Installing a skill section already generalizes (swap the folder name).

    line 28

≈ “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.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
CLAUDE.md

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 skill

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.

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

  1. Copy the finished skill folder in (SKILL.md, references/, evals/evals.json — no workspace/run output).
  2. Add a section to README.md under ## 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.
  3. No per-skill install section needed — the root ## Installing a skill section already generalizes (swap the folder name).

License

Single LICENSE (MIT) covers every skill in the repo — don't add per-skill licenses.

Download now (ZIP)

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
What did you use it for? e.g. Reviewing pull requests in a Rails app

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.