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search-strategy

Decompose user questions into parallel, source-specific search queries.

1|1|Updated Mar 22, 2026
Search Tags:#automation#translation#search#decomposition#deduplication#ranking#multisource
One-click install
npx skills add https://github.com/zzafergok/skills --skill search-strategy-zzafergok
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: search-strategy
Source: https://github.com/zzafergok/skills/tree/main/10-research-data/search-strategy
Command: npx skills add https://github.com/zzafergok/skills --skill search-strategy-zzafergok

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Decomposes a user question into parallel, source-specific search queries and synthesizes results across sources.

Core Features & Use Cases

  • Query decomposition into per-source subqueries
  • Translate queries into source-specific syntax
  • Execute searches in parallel and synthesize results
  • Rank and deduplicate results
  • Handle ambiguity and implement fallback strategies

Quick Start

Give a natural language question and the Skill will generate parallel, source-specific searches and return a ranked synthesis.

Frequently Asked Questions about search-strategy

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I decompose a natural language question into parallel search queries across multiple sources?▼

Query decomposition breaks a user question into source-specific subqueries, translates them into the correct syntax, and executes parallel searches across knowledge bases, project trackers, and documents to synthesize ranked results.

What is the best way to search across enterprise chat, knowledge bases, and documents simultaneously?▼

Multi-source enterprise search orchestrates parallel query execution across chat, project trackers, and documents. It translates natural language into source-specific syntax, then applies ranking and deduplication to return a unified synthesis.

How does deduplication and ranking work when synthesizing results from multiple search sources?▼

Result ranking and deduplication filter overlapping matches from parallel searches across knowledge bases and trackers, synthesizing the findings into a single ranked list to resolve conflicting information and prioritize relevance.

Can I handle ambiguous search queries and implement fallback strategies for enterprise search?▼

Ambiguity handling identifies unclear user questions during query decomposition and applies fallback strategies to refine source-specific subqueries, ensuring parallel searches across documents and trackers still return relevant factual or status results.

Do I need source-specific syntax translation to search project trackers and knowledge bases?▼

Yes, query translation converts natural language questions into the specific syntax required by each enterprise source, allowing parallel execution across diverse project trackers and knowledge bases before synthesizing the ranked output.

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