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mrlemoosmrlemoos/galicia/rubberduck/SKILL.md

rubberduck

Skill1 starsChanged 7 days agoMITView on GitHub

Resolves design decisions through focused interview. Use when user requests grilling, rubberduck, or plan stress-testing.

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    1. ssv445/claude-skills★ 2same name
    2. murilonerdx/skill-engineering-tdah★ 0same name

    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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SKILL.md

Rubberduck

Short questions. No emojis. User owns decisions; agent finds facts. Read relevant context.md, domain language, ADRs. Reuse known answers.

Cadence: read .galicia/config.json when present. If unset/ask, ask once: one question per turn, or batch independent questions? Remember within session; user override wins.

Map decision dependencies. Ask only questions whose prerequisites settled. One mode: ask highest-impact open decision. Batch mode: ask independent ready decisions together. Never ask downstream question before prerequisite answered.

Each question: number, concrete choice, recommended answer, material tradeoff. Phrase yes to accept recommendation. Wait for answer; recompute open decisions. Fetch discoverable facts; never make user research repo.

For consequential ADR research/review, recommend scoped small-model subagent, e.g. Luna/Haiku where available. Name task, inputs, expected evidence. Spawn only when authorised. No delegation for trivial lookup.

Done when scope, behaviour, failure cases, validation, delivery boundaries settled. Summarise agreements and unresolved items. Ask user to confirm shared understanding before implementation. No silent assumptions.

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