document-module
Skill1 starsChanged 50 days agoLicence not identifiedView on GitHub
Build and maintain the living documentation for a module/service under modules/<area>/ — what it does (behaviors + symbol-anchored landmarks) and its open problems (a stable-ID registry). Scales from a single page to a multi-part deep-dive whose structure is shaped to the module (see Deep-dive mode). The ground truth that technical-proposal proposals link to. Use when the user wants to document a module/service, do a deep dive on a module, record what exists, capture known problems/tech-debt, or when technical-proposal needs grounding docs. Runs standalone (/document-module <area>) or invoked by another skill.
In this repository25 other files it gives its agents.
- cavemanSkill
- clarifySkill
- conventionSkill
- create-jira-taskSkill
- design-an-interfaceSkill
- docs-sweepSkill
- document-investigationSkill
- estimateSkill
- grill-meSkill
- ideaSkill
- implementSkill
- incident-reportSkill
- learning-modeSkill
- module-inventorySkill
- plan-in-docsSkill
- push-and-prSkill
- request-refactor-planSkill
- reviewSkill
- show-meSkill
- simplifySkill
- start-ticketSkill
- tddSkill
- technical-proposalSkill
- wrap-up-plan-in-docsSkill
- write-a-skillSkill
The file
We split this skill into the rules it gives an agent
9 rules. About 0 are common, 4 are distinctive, and 5 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈4
Distinctive · estimate
This author's own choices. Worth a look.
5
Very specific
Tied to their project's names, files or tools. Probably skip.
The licence could not be identified — 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.
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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.

