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Investigate an open question and return grounded, sourced findings

AI & Automation 39,098 stars 3499 forks Updated today MIT

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Quality Score: 91/100

Stars 20%
100
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
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Issue Health 10%
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License 10%
100
Description 5%
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Skill Content

# Research Use this skill when the next step depends on something not yet known. Research answers questions; it does not implement. This is the canonical research lane. `deep-dive`, `sciomc`, and `autoresearch` route here. ## Goal Replace assumptions with evidence, and say plainly what remains uncertain. ## Workflow 1. State the question precisely enough to know when it is answered. 2. Search the repo and its docs first — local evidence outranks recollection. 3. For external SDKs, frameworks, or APIs, consult official documentation. 4. Sweep more than one way when the answer could hide: by file, by symbol, by caller, by history. 5. Synthesize into findings, each tied to where it came from. ## Scale - **Narrow lookup** — answer it directly. - **Multiple independent questions** — investigate in parallel. - **Unknown-size discovery** — keep going until additional passes surface nothing new. ## Rules - Cite the source: file and line, or the document consulted. - Distinguish what was verified from what was inferred. - Report contradicting evidence rather than picking the tidier story. - Do not implement as a side effect of researching. ## Output - The question - Findings, each with its source - What remains unknown or unverifiable - Recommended next step, if one follows

Details

Author
Yeachan-Heo
Repository
Yeachan-Heo/oh-my-claudecode
Created
8 months ago
Last Updated
today
Language
TypeScript
License
MIT

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