skill-audit
Skill4 starsChanged 18 days agoMITView on GitHub
Review whether any skill of a project is really a pattern that deserves moving up to the kernel, or whether any kernel skill has filled up with special cases and should move down. Inventories the skills of all projects, measures their density of proper names and detects pairs of different projects that solve the same thing. Use when creating a new skill, and periodically at session close.
58 other projects use a version of this.
Adopted by
Most recently taken up by
- aditya-vermax/skillstheir own version, first seen Nov 8, 2026
- NickKostovny/marketing-playbookstheir own version, first seen Nov 8, 2026
- KRISH-exe-29/ai-agent-skill-routertheir own version, first seen Nov 8, 2026
- rafaelh/skillstheir own version, first seen Nov 4, 2026
- 0xUrsanomics/utopia-ostheir own version, first seen Nov 1, 2026
- edloidas/skillstheir own version, first seen Nov 1, 2026
Used with
Projects with it also use write-a-skill, reflect and 7 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
simo97Skillwrite-a-skill
Create new agent skills with proper structure, progressive disclosure, and bundled resources. Use when user wants to create, write, or build a new skill.
Also in 4 projects that use this
Microsoft AzureSkillreflect
Learning capture system that extracts HIGH/MED/LOW confidence patterns from conversations to prevent repeating mistakes. Use after user corrections ("no", "wrong"), praise ("perfect", "exactly"), or when discovering edge cases. Complements .squad/agents/{agent}/history.md and .squad/decisions.md.
Also in 5 projects that use this
sunnyclinches44Skillexplain
Explains code using real-world analogies and ASCII diagrams
Also in 4 projects that use this
eherrerosjSkillhumanize
Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Based on Wikipedia's comprehensive 'Signs of AI writing' guide. Detects and fixes patterns including: inflated symbolism, promotional language, superficial -ing analyses, vague attributions, em dash overuse, rule of three, AI vocabulary words, negative parallelisms, and excessive conjunctive phrases. Triggers on: 'humanize', 'make this sound human', 'remove AI writing', 'de-AI', 'sound more natural', 'less robotic', 'too AI-sounding', or when reviewing text that reads like AI output.
Also in 3 projects that use this
MicrosoftSkillreport
Turn an exploration (threads, findings, charts) into a single Markdown report — note, blog post, executive summary, KPI dashboard, slide brief, or multi-section analytical report, with embedded charts.
Also in 3 projects that use this
GoogleSkillgrill-me
A relentless interview to sharpen a plan or design.
Also in 8 projects that use this
Other versions58 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 58
- nyldn/claude-octopus★ 4.4ksame name
- automagik-dev/genie★ 351same name
- namastexlabs/automagik-genie★ 351same name
- Rtur2003/Claude-Code-Promts-Skills★ 53same name
- fimoklei/pm-ai-playbook★ 42same name
- cth9191/skill-audit★ 23same name
- anysiteio/agent-skills★ 20same name
- okjpg/skill-audit★ 15same name
- macintog/codex-spine★ 12same name
- sharbelxyz/skill-audit★ 9same name
48 more not listed
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.
In this repository46 other files it gives its agents.
- AGENTS.mdAGENTS.md
- add-repo-to-docsSkill
- adrSkill
- auth-bypass-localSkill
- before-afterSkill
- bug-huntSkill
- carry-envSkill
- code-healthSkill
- crux-doctorSkill
- crux-initSkill
- css-to-componentsSkill
- deploy-fallbackSkill
- deploy-watchSkill
- device-loopSkill
- drive-browserSkill
- e2eSkill
- end-sessionSkill
- eval-fixturesSkill
- explain-planSkill
- flowSkill
- grillSkill
- merge-conflictsSkill
- motion-videoSkill
- oauth-reauthorizeSkill
- prod-signalsSkill
- promote-to-docsSkill
- prose-checkSkill
- read-documentSkill
- render-loopSkill
- repo-mapSkill
- review-prSkill
- root-causeSkill
- runbookSkill
- security-auditSkill
- share-localSkill
- shipSkill
- skill-creatorSkill
- teachSkill
- ui-behaviourSkill
- ui-tellsSkill
- visual-diffSkill
- visual-testSkill
- wizardSkill
- workspaceSkill
- write-testsSkill
- x-postsSkill
The file
We split this skill into the rules it gives an agent
4 rules. 0 are common, 4 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 52 edited versions we read keep these.
4
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 14
When: when creating a skill (pattern or adapter?) and periodically at session close.
- Distinctive: line 74
Write the kernel skill without projects or tools of any one agent.
- Distinctive: line 75
Leave in the project an adapter with its own paths, credentials and gotchas that points to the kernel.
- Distinctive: line 77
Run the new skill against the real case it came from: it has to give the same result.
“Common” is measured: kept by at least 6 in 10 of the 52 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
skill-audit
It maintains the boundary between the kernel and the projects, and the short
catalogue: procedures locked inside a project that should move up, kernel skills
full of special cases that should move down, and skills that compete for the
same sentence. The reasons and measurements behind each threshold:
<this-skill-directory>/references/why.md.
When: when creating a skill (pattern or adapter?) and periodically at session close.
The test
Cover all the proper names in the skill. If the procedure still makes sense and has value, there is a pattern inside.
The procedure is promoted and the project keeps an adapter with paths, credentials and names. Two guards:
- Two occurrences: it is promoted when two projects genuinely need it (except with demonstrated high value and almost no coupling).
- Reverse path: a kernel skill with per-project conditionals moves down to
project/.
Audit
node <this-skill-directory>/scripts/audit.mjsIt walks the adopted docs repos and reports:
- Low density of proper names (derived from each project's
crux.json): suspected of containing a pattern. - Pairs of different projects that describe the same thing: the two-occurrences rule is already met.
- Those that are already adapters, separately and outside the candidates.
- Adapters that compete with their procedure: descriptions that overlap by more than 0.18, or an adapter that does not name its project in the description.
They are signals, not verdicts: the script points, the test decides and the
two-occurrences rule brakes. Size is watched by the description verifier: a
skill of more than 1,000 words is shortened with /skill-creator.
Verify activation
node <this-skill-directory>/scripts/probe.mjs "the sentence you would ask for it with"
node <this-skill-directory>/scripts/probe.mjs --cases
node <this-skill-directory>/scripts/probe.mjs --adapter <adapter> <kernel> "<generic sentence>" "<own sentence>"probesays which skill wins a sentence and by how much: below 15 % of the leader is a tie.--casesrunscasos/activacion.tsv(real sentence → expected skill). A sentence without proper names has to activate the kernel, never an adapter.--adapter: the generic sentence is won by the kernel and the own one, by the adapter.
It is useful for comparing two wordings and for seeing whether a change switched a skill off. It does not predict the agent: a tie is reliable, a winner guarantees nothing. The sentence is written the way the job is asked for, not copied from the description.
Promote
- Separate the procedure from the data.
- Write the kernel skill without projects or tools of any one agent.
- Leave in the project an adapter with its own paths, credentials and gotchas that points to the kernel.
- Run the new skill against the real case it came from: it has to give the same result.
- Reinstall the kernel.
Anti-patterns
- Promoting just in case: a bloated kernel is as bad as an empty one.
- Promoting without leaving an adapter.
- Ignoring the reverse path.
Related
/skill-creator— write or shorten a skill/end-session— where the periodic review hooks in/promote-to-docs— the equivalent for documentation
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
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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.

