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数据与研究 · SKILL.md

research

research

【数据与研究】Investigate an open question and return grounded, sourced findings

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技能说明

GitHub

name: research description: Investigate an open question and return grounded, sourced findings

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
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