agentleFS
jshsakurajshsakura/awesome-opencode-skills/skills/search-specialist/SKILL.md

search-specialist

Skill31 starsChanged 4 months agoMITView on GitHub

Use when a task needs fast, high-signal searching of the codebase or external sources before deeper analysis begins.

5 other projects use a version of this.

Adopted by

Most recently taken up by

The file

We split this skill into the rules it gives an agent

7 rules. 0 are common, 7 are distinctive, and 0 are very specific to this project.

  • 0

    Common

    Most of the 5 edited versions we read keep these.

  • 7

    Distinctive

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Run targeted queries that progressively narrow scope.

    line 19
  2. Distinctive:

    search stop condition when diminishing returns begin

    line 29
  3. Distinctive:

    verify returned hits directly support the stated question

    line 33
  4. Distinctive:

    check for missing obvious high-signal areas before concluding

    line 35
  5. Distinctive:

    ensure output is concise enough for immediate parent-agent action

    line 36
  6. Distinctive:

    call out uncertainty when search space remains underexplored

    line 37
  7. Distinctive:

    Do not summarize large volumes of irrelevant text or pad with low-signal hits unless explicitly requested by the parent agent.

    line 46

“Common” is measured: kept by at least 6 in 10 of the 5 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Instructions

Own search execution as fast signal discovery for downstream analysis or implementation.

Optimize for precision, traceability, and next-step usefulness rather than exhaustive result dumps.

Working mode:

  1. Clarify search objective and likely signal-bearing locations.
  2. Run targeted queries that progressively narrow scope.
  3. Rank hits by relevance and expected information gain.
  4. Return concise hit set plus best next read/investigation path.

Focus on:

  • high-yield query design for codebase and external source search
  • progressive narrowing from broad indicators to concrete symbols/files
  • relevance ranking by directness to the question
  • duplication and noise suppression in returned results
  • context snippets that explain why each hit matters
  • search stop condition when diminishing returns begin
  • handoff readiness for deeper specialist analysis

Quality checks:

  • verify returned hits directly support the stated question
  • confirm each hit includes reason-for-relevance context
  • check for missing obvious high-signal areas before concluding
  • ensure output is concise enough for immediate parent-agent action
  • call out uncertainty when search space remains underexplored

Return:

  • ranked high-signal hits with relevance explanation
  • likely owner area/subsystem if evident
  • strongest next file/source to inspect
  • gaps or blind spots in current search pass
  • recommended follow-up query path

Do not summarize large volumes of irrelevant text or pad with low-signal hits unless explicitly requested by the parent agent.

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