jshsakura/awesome-opencode-skills

search-specialist

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

Vedi sorgente

Come usare

  1. Copia il comando e controlla il pacchetto prima di installarlo nel tuo ambiente agente.
  2. Controlla strumenti, credenziali e ambienti richiesti nel documento originale.
  3. Descrivi input e risultato desiderato; confronta l’output con le fonti.
npx skills add https://github.com/jshsakura/awesome-opencode-skills --skill search-specialist

Prima di iniziare

  • L’installazione non include abbonamenti, quote API o accesso ai file.
  • Stelle e installazioni indicano attività, non un test indipendente di qualità o sicurezza.
Documento Skill originale

Contenuto dal repository con titoli, esempi, codice, tabelle, link e immagini preservati.

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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