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Spec

Skill mehrad-dm/mastermind/skills/spec

⚗️ Experimental — A genius-builder brain for your AI coding tools: sharp defaults, real judgment, and the discipline to check their own work. For Claude Code, Codex, Cursor & Copilot. Just markdown; it improves itself over time.

Install
npx -y skills add mehrad-dm/mastermind --skill spec

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 13 stars13 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

Use when the ask is ambiguous, the scope is unclear, terms are being used inconsistently, the work spans multiple files, or it will be handed to another session. Symptoms: "make it better", "add the thing", or disagreement about what's in scope. Skip for a clear one-line change.

SKILL.md

2.9 KB, 641 tokens by cl100k_base, as published. Nobody here has run it

MasterMind — Spec

A precise spec is cheaper than a wrong build. Time spent making the spec exact pays off more than time watching the implementation (~/.mastermind/engineering/core/product-sense.md, ~/.mastermind/engineering/core/agent-loop.md). This produces the what, not the code.

Write the spec

  1. Problem & outcome — the real user/business outcome, in one or two lines (not the literal request if they differ). What outcome, for whom, why now?
  2. Scope — what's in, and explicitly what's out (deferred as follow-ups). A coherent slice.
  3. Name the key terms (glossary). List the domain nouns actually in use; define each in one sentence + what NOT to call it (synonyms to avoid); resolve any word that means two things (or two words that mean one). One concept, one name — then use these exact names in the spec, types, and code. Names are the data model in disguise; muddled naming is a bug waiting to happen.
  4. Interfaces & data — the files/modules touched, the key types, the API/data contracts.
  5. Acceptance criteria — observable behavior that means "done," from the user's view (not "compiles").
  6. Edge cases & failure modes — null/empty/loading/error/many/offline/unauthorized/malformed.
  7. Verification — the end-to-end check that proves it works.

Rules

Decide everything technical yourself; surface only genuine product trade-offs to the user (one line each). Keep it self-contained — a fresh session should be able to build from it alone.

Spec vs. the architect agent

Spec is the what; architect (~/.mastermind/agents/architect.md) is the how. Spec produces the problem, scope, glossary, acceptance criteria, and edge cases; architect produces module/interface boundaries, the data model, key types, and the technical decisions behind them.

  • Ask is fuzzy → run spec first. Ask is clear but the design isn't → go straight to architect.
  • Handoff: feed the finished spec to architect as its input — it restates the problem from the spec's scope and acceptance criteria instead of re-deriving them. Non-trivial work usually wants both, in that order; a small, well-understood change needs neither.
  • Spec's "Interfaces & data" step stays at the level the spec needs (files touched, contracts the acceptance criteria depend on). Don't design the modules here — that's architect's output, not spec's.

Output

A short SPEC.md (or inline): problem, scope, interfaces, acceptance, edge cases, verification. Decisive, not a menu — the blueprint an implementer follows without second-guessing.

What ships with it: 1 file

4.7 KB alongside SKILL.md

Keep looking

Skills are one crate of 327,069. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.