ast-code-graph
Skill0 starsChanged 3 months agoNo licenceView on GitHub
Use this skill ANY time you need to search for code structure, refactor symbols, analyze impact, find dead code, or trace dependencies. ALWAYS invoke BEFORE using grep for structural code analysis. Trigger categories: structural pattern search (e.g. useEffect without deps, async without try-catch, fetch calls outside src/api), bulk code migration/transformation (wrap handlers, replace API calls), dependency & impact analysis (blast radius, transitive deps, which modules depend on X), safe renaming across codebases, dead code & circular import detection, ast-grep rule authoring. Trigger keywords: try-catch, useEffect, async without, circular imports, safe rename, blast radius, bulk migration, never imported, unused exports, ast-grep, enforce pattern, structural search, depends on, which modules. Do NOT trigger for: grep-able string searches, file-name lookups, reading READMEs, writing regex, CSV/data scripts.
- Installs packages
We split this skill into the rules it gives an agent
12 rules. About 0 are common, 4 are distinctive, and 8 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.
8
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 308,232 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.
Other versions1 project uses a version of this.
Word for word · 1
- rolandbrecht/agent-skills★ 4100% same
Edited · 0
None found.
Wrote their own version · 0
None found.
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
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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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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.

