knowledge-layout
Skill0 starsChanged 7 days agoNo licenceView on GitHub
The three-tier layout for a project repo's tacit knowledge — CLAUDE.md holds obligations and a one-line index, a domain skill opens with a sub-index and carries the "why", docs/ holds the depth. Load this when deciding where a newly-learned fact belongs, when reshaping an existing skill or CLAUDE.md into this shape, or when the user says things like "整理 skill", "這個知識該放哪", "CLAUDE.md 太長了", "要不要開新 skill". Covers the loading mechanics that make the tiers behave differently, the writing rule for each tier, and the anti-patterns (one skill per fact, pure index skill, content in CLAUDE.md). Not about authoring a skill's frontmatter or running evals — that is skill-creator's job.
In this repository17 other files it gives its agents.
- .claude/CLAUDE.mdCLAUDE.md
- .github/copilot-instructions.mdCopilot instructions
- agentskills-conventionsSkill
- b2c-conventionsSkill
- branch-reviewSkill
- coding-styleSkill
- doc-coauthoringSkill
- garmin-running-exportSkill
- gen-task-in-planSkill
- git-commitSkill
- implementationSkill
- mcp-builderSkill
- playwright-cliSkill
- req-analysisSkill
- skill-creatorSkill
- task-acceptanceSkill
- technical-designSkill
The file
We split this skill into the rules it gives an agent
5 rules. About 0 are common, 3 are distinctive, and 2 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈3
Distinctive · estimate
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill 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.
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.