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mehrad-dmmehrad-dm/mastermind/skills/explain/SKILL.md

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.

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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.
  • zebbernSkill

    debug-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

  • Ingramradical235Skill

    root-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

  • ralphkraussSkill

    resolve-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

  • neurofooSkill

    socratic

    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

  • anombyte93Skill

    discover

    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

  • mitsuhikoSkill

    summarize

    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

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
  1. Very specific:

    Discover the public units: Read the package's public entry (index.ts/exports) for the real list, components, exported functions, hooks, …

    line 28
  2. Distinctive:

    Match the package's existing doc style: if any exists; consistency beats your template.

    line 62

“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.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

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

  1. 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.
  2. 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).
  3. 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.
  4. Prioritize the gotchas. The API table can be inferred from types; the gotchas cannot. That's the value.
  5. 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.md records 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, or git log a1b2c3d..HEAD -- src/Button.tsx to 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.

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