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Yeachan-Heo/research

Yeachan-Heo

research

Investigate an open question and return grounded, sourced findings

NewUpdated Oct 4, 2026

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
Files1
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Overall Score

78/100

Grade

B

Good

Grades are signals, not a certification. Always review a skill yourself before use.

Safety

88

Quality

75

Clarity

79

Completeness

68

Summary

A research skill that guides AI agents to investigate open questions by searching local repositories, documentation, and external sources to replace assumptions with evidence. The skill emphasizes verification, source citation, and distinguishing facts from inferences without implementing solutions as a side effect.

Detected Capabilities

repository searchcode analysisdocumentation lookupsource citationinquiry synthesis

Trigger Keywords

Phrases that agents use to match this skill to user intent.

verify assumptionsinvestigate api behaviortrace dependenciesresolve contradictionsdocument unknownsresearch question

Use Cases

  • Verify architectural assumptions before implementation
  • Investigate API or SDK behavior by consulting official documentation
  • Trace code dependencies and call patterns to understand system design
  • Resolve conflicting information by sweeping multiple code paths
  • Document unknown or unverifiable gaps in project knowledge

Quality Notes

  • Skill clearly distinguishes investigation from implementation, reducing accidental side effects
  • Workflow section provides a logical sequence of investigation strategies (local search → official docs → multi-angle sweeps)
  • Rules section explicitly calls for source citation and verification discipline, supporting traceability
  • Output format is well-defined: question, findings with sources, unknowns, next steps
  • Could benefit from concrete examples of 'narrow lookup' vs 'unknown-size discovery' to clarify scale expectations
  • No mention of how to handle API rate limits, access restrictions, or authentication requirements when consulting external sources
  • Scale section is brief; guidance on when to stop iterating ('until additional passes surface nothing new') could be more specific
Model: claude-haiku-4-5-20251001Analyzed: Oct 4, 2026

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Version History

  1. v1.2

    Content updated

    ✦ AIAdds LICENSE file.

    2026-10-04

    LATEST
  2. v1.1

    Content updated

    ✦ AIRemoves LICENSE file from skill distribution.

    2026-10-03

    View This Version
  3. v1.0

    2026-08-31

    View This VersionInitial version

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