explain
Skill23 starsChanged 2 months agoMITView on GitHub
Use when an internal package, module, or shared component has little or no usage documentation and people (or future AI sessions) keep using it wrong: \"document this\", \"write docs for our library\", onboarding someone onto an internal API, or handing a package to another team.
122 other projects use a version of this.
Adopted by
Most recently taken up by
- NazmusSayad/skillstheir own version, first seen Nov 8, 2026
- sergeiwallace/skillstheir own version, first seen Nov 8, 2026
- paulocsb/worldcup-fifa-pooltheir own version, first seen Nov 8, 2026
- whyashthakker/estacktheir own version, first seen Nov 8, 2026
- ShahriarBijoy/show-me-howtheir own version, first seen Nov 8, 2026
- nearmap/shipyardtheir own version, first seen Nov 8, 2026
Used with
Projects with it also use debug-fix, root-cause and 10 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.
zebbernSkilldebug-fix
Find and fix a bug or issue — from any source (GitHub issue, error message, user report, or observed behavior)
Also in 3 projects that use this
Ingramradical235Skillroot-cause
Structured root cause analysis using WHERE (MECE decomposition) then WHY (causal structure diagrams) pipeline. Includes coin-flip detection, logical-leap detection, and vicious cycle intervention. Use when buffer enters YELLOW/RED, when metrics stall, or when Actions execute but don't produce results.
Also in 5 projects that use this
ralphkraussSkillresolve-conflicts
Resolve git merge conflicts or re-apply changes from a stale branch onto current main. Use when user says "resolve conflicts", "merge conflicts", "rebase branch", "branch is behind", "re-apply changes", "port branch", or a branch is too far behind main to merge cleanly.
Also in 4 projects that use this
neurofooSkillsocratic
Socratic questioning to examine beliefs, uncover assumptions, and develop deeper understanding. Use to challenge thinking, evaluate proposals, or teach without lecturing.
Also in 4 projects that use this
anombyte93Skilldiscover
Phase 1 of the prd-taskmaster pipeline: brainstorm-driven discovery. Delegates to superpowers:brainstorming in Interactive Mode (one adaptive question at a time), or self-brainstorms in Autonomous Mode when no user is present. Intercepts before the brainstorming chain hands off to writing-plans — this skill owns the exit. Extracts constraints, calibrates scale (Solo / Team / Enterprise), and advances the pipeline to GENERATE.
Also in 6 projects that use this
mitsuhikoSkillsummarize
Fetch a URL or convert a local file (PDF/DOCX/HTML/etc.) into Markdown using `uvx markitdown`, optionally it can summarize
Also in 8 projects that use this
Other versions122 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 122
- Z3Prover/z3★ 13ksame name
- crbnos/carbon★ 2.8ksame name
- poshan0126/dotclaude★ 871same name
- VinkyDev/vibestart★ 289same name
- hsantanna88/clo-author★ 262same name
- hugosantanna/clo-author★ 262same name
- entireio/skills★ 239same name
- sammcj/agentic-coding★ 169same name
- SerhiiKorniienko/bullshit-detector★ 151same name
- kv0906/pm-kit★ 138same name
112 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 repository34 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- analyzeSkill
- assessSkill
- blueprintSkill
- breakdownSkill
- buildSkill
- checklistSkill
- clarifySkill
- constitutionSkill
- convergeSkill
- debugSkill
- deepenSkill
- deprecateSkill
- double-checkSkill
- handoffSkill
- helpSkill
- initSkill
- interviewSkill
- learnSkill
- levelupSkill
- lintSkill
- living-docsSkill
- performanceSkill
- personaSkill
- promptSkill
- prototypeSkill
- qaSkill
- quarantineSkill
- reportSkill
- roadmapSkill
- routeSkill
- signatureSkill
- specifySkill
The file
We split this skill into the rules it gives an agent
2 rules. 0 are common, 1 is distinctive, and 1 is very specific to this project.
0
Common
Most of the 109 edited versions we read keep these.
1
Distinctive
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
- Very specific: line 28
Discover the public units: Read the package's public entry (index.ts/exports) for the real list, components, exported functions, hooks, …
- Distinctive: line 62
Match the package's existing doc style: if any exists; consistency beats your template.
“Common” is measured: kept by at least 6 in 10 of the 109 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
Document Package: make an internal package self-explaining to any model
Most internal packages ship with no usage docs, so every consumer: a teammate, or an AI: reads the source, guesses the intended usage, and gets the gotchas wrong. This skill fixes that: one colocated usage doc per public unit, capturing the API and the non-obvious rules, so the next reader is correct on the first try. It applies to any package: a UI component kit, a utils library, a services/API layer, a hooks package, an internal SDK.
Why it matters for portability: these docs are the layer that makes your package understandable to any model. If you move from one AI tool to another, the new model still understands your package immediately: the knowledge lives in the repo, not in one model's head.
Their own words stay theirs: propose, never rewrite unasked (~/.mastermind/engineering/core/rigor.md → Stay in scope).
Ask first: always
This writes files into the user's repo. Confirm before doing anything: "I can generate AI-friendly
usage docs for <package> so any model (and teammate) understands it correctly: one doc per public unit,
with the gotchas. Want me to? (I'll show one sample first.)" Show a sample doc for one unit and get a
thumbs-up before fanning out across the package.
Method
- Discover the public units. Read the package's public entry (
index.ts/exports) for the real list, components, exported functions, hooks, services, classes. Note any existing docs' style and match it. - Never write a line you have not read the source for. For each unit: the implementation, its types, its variants/options, its tests/stories, and one real usage in the codebase. Verify every claim against the code (never document a guess; mark "unverified" or omit).
- Write a colocated doc (a
README.md/doc beside the unit) with a consistent template:- Title + one-line purpose + what it's built on.
- Signature / API: a table: params/props/args · type · default · description; what it returns.
- Quick start: the minimal correct usage (real import path).
- Variants / options / states (where applicable), with a code example each.
- Composition: how it combines with siblings.
- Examples: the handful of real scenarios people actually need.
- Gotchas: the highest-signal section: rules the API doesn't enforce but people get wrong (default values, which state hides what, reserved-but-unimplemented options, ordering constraints).
- Errors / accessibility / TypeScript: as relevant to the unit's kind.
- Prioritize the gotchas. The API table can be inferred from types; the gotchas cannot. That's the value.
Stamp it so drift is detectable. The code is the SSOT; the doc is derived: so record what it was derived from, the way
engineering/ROUTER.mdrecords a hash per node. End each doc with a footer naming the source file(s), the repo commit SHA at generation time, and a short content hash of each source (git rev-parse --short HEAD,git hash-object <file>):<!-- generated-from: src/Button.tsx@a1b2c3d (hash 9f4e21bc) · regenerate if the hash differs -->Detecting drift is then a one-liner anyone (or any model) can run: re-hash the source and compare to the footer,
git hash-object src/Button.tsx, orgit log a1b2c3d..HEAD -- src/Button.tsxto see whether the unit changed since. Mismatch → treat the doc as stale: re-read the source and regenerate that unit before trusting it. No build script required; if the repo already has a docs check or pre-commit hook, wire the same comparison into it rather than inventing a second mechanism.
Guardrails
- Derive from source, never invent. Unconfirmable behavior → "unverified" or omit.
- One doc per unit, colocated: found next to the thing it describes, travels with it.
- Match the package's existing doc style if any exists; consistency beats your template.
- Confirm scope + a sample before mass-generating: the template must fit before you fan out.
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.
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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.

