agentleFS
cdfarkascdfarkas/cdfarkas-skills/CLAUDE.md

cdfarkas-skills

CLAUDE.md0 starsChanged 10 days agoApache-2.0View on GitHub

Public repository. Every skill ships with the evidence it works; nothing personal or company-specific goes in (CI greps for /Users/… and /home/…). 1. Behaviour in a script, not in prose. If two agents could read a sentence and produce different output, it is code, not a sentence. SKILL.md says when to run the script and how to read its output. See docs/how-these-skills-are-built.md. 2. Evaluate with skill-creator, with-skill versus without-skill. Use the skill-creator skill (Anthropic's first-party plugin) to run every prompt…

The file

We split this CLAUDE.md into the rules it gives an agent

1 rule. About 0 are common, 0 are distinctive, and 1 is 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.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    Behaviour in a script, not in prose: If two agents could read a sentence and produce different output, it is code, not a sentence.

    line 8

≈ “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

cdfarkas-skills — working rules

Public repository. Every skill ships with the evidence it works; nothing personal or company-specific goes in (CI greps for /Users/… and /home/…).

Before a skill is committed

  1. Behaviour in a script, not in prose. If two agents could read a sentence and produce different output, it is code, not a sentence. SKILL.md says when to run the script and how to read its output. See docs/how-these-skills-are-built.md.
  2. Evaluate with skill-creator, with-skill versus without-skill. Use the skill-creator skill (Anthropic's first-party plugin) to run every prompt in skills/<name>/evals/evals.json twice — one subagent with the skill, one without — in isolated sessions, and grade both with the skill's own evals/grade.py. Prompts must be what a real person would type. A skill that scores the same as the baseline is decoration and does not ship.
  3. Publish the evaluation in evals/RESULTS.md, in the shape of skills/pr-todo/evals/RESULTS.md: method, the run date, a scores table (with the skill / without), what the baselines got wrong, and every run that did not complete reported as not measured — never as a zero. If the run is not done yet, RESULTS.md says so; an absent or flattering results file is a defect.
  4. Run the CI locally (python3 scripts/validate-skills.py, python3 scripts/validate-evals.py, python3 scripts/check-docs-sync.py origin/main, bash -n on every .sh, the personal-path grep) before committing; the windows job in .github/workflows/ci.yml needs a PR to run, so open one. Any PR touching skills/, scripts/ or the marketplace manifest bumps metadata.version in .claude-plugin/marketplace.json (semver; CI refuses the PR otherwise). A script that pushes, edits a PR or calls a write endpoint takes --dry-run (validate-skills.py refuses it otherwise; rule 4 of the docs says why).
  5. Docs follow the code. Any change to a skill's scripts/, hooks/, agents/ or SKILL.md updates its README.md or reference.md in the same PR; a change to scripts/*.py or .github/workflows/ci.yml (a bump of an action's version alone excepted) updates this file or docs/how-these-skills-are-built.md; a plugin added to or removed from the marketplace manifest changes the root README.md table. scripts/check-docs-sync.py enforces it, and always checks that every skill has its three Markdown files, its row in the root table, and names its agents/ and hooks/ when it ships them.

Layout of a skill

skills/<name>/
  SKILL.md          frontmatter (name = directory, description ≤ 1024 chars) + body < 500 lines
  README.md         usage, sample output, evaluation — for humans
  reference.md      columns, vocabularies, failure lines — what SKILL.md points to
  scripts/          the implementation; bash 3.2 compatible, LF endings, runs under Git Bash
  evals/evals.json  prompts + assertions
  evals/grade.py    regex grader, no model in the loop
  evals/RESULTS.md  the published run
  agents/           optional: a plugin that ships a background agent (one .md per agent)
  hooks/            optional: a plugin that ships Claude Code hooks (hooks.json + the scripts)

Register the skill in .claude-plugin/marketplace.json, give it a README.md in its folder (usage, sample output, evaluation) and one row in the root README.md table.

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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.