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search-strategy

Decompose complex queries into source-specific searches and rank results by relevance.

10|1|Updated Feb 19, 2026
Search Tags:#enterprise search#query decomposition#multi-source search#relevance ranking#search orchestration
One-click install
npx skills add https://github.com/giadaf-boosha/claude-code --skill search-strategy-giadaf-boosha
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: search-strategy
Source: https://github.com/giadaf-boosha/claude-code/tree/main/skills/enterprise-search-search-strategy
Command: npx skills add https://github.com/giadaf-boosha/claude-code --skill search-strategy-giadaf-boosha

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill addresses the challenge of navigating complex, multi-source enterprise search by breaking down queries into targeted searches, translating them into source-specific syntax, and ranking results by relevance.

Core Features & Use Cases

  • Query Decomposition: Breaks down natural language questions into targeted searches per source.
  • Translation: Translates queries into source-specific syntax.
  • Result Ranking: Ranks results by relevance and handles ambiguity.
  • Use Case: For a user asking, "What did we decide about the API migration timeline?", the Skill would perform targeted searches across connected sources like chat, knowledge base, and project tracker, then synthesize the results into a coherent answer.

Quick Start

Use the search-strategy skill to find the decision about the API migration timeline.

Frequently Asked Questions about search-strategy

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

FAQPage Schema
How do I search across multiple enterprise sources with a single natural language query?▼

Enterprise multi-source search is achieved by decomposing a natural language query into targeted searches, translating them into source-specific syntax, and executing parallel searches across connected platforms.

What is query decomposition for enterprise search and how does it work?▼

Query decomposition breaks down complex natural language questions into targeted searches per source, translating them into source-specific syntax to rank results by relevance and handle ambiguity.

How do I handle ambiguity and fallback strategies when searching across a knowledge base and project tracker?▼

Ambiguity and fallback strategies are handled by ranking results by relevance across multiple sources, translating queries into source-specific syntax, and synthesizing coherent answers from parallel searches.

Can I translate a natural language query into source-specific syntax for different enterprise platforms?▼

Yes, translating natural language queries into source-specific syntax enables targeted searches across various enterprise sources like chat, knowledge bases, and project trackers to synthesize coherent results.

What is the best way to orchestrate parallel searches across chat, knowledge base, and project tracker?▼

Orchestrating parallel searches involves decomposing complex queries into targeted searches per source, executing them across connected sources, and ranking results by relevance to synthesize a coherent answer.

Do I need access to various enterprise sources to execute multi-source search orchestration?▼

Yes, multi-source search orchestration requires access to various enterprise sources and the ability to execute parallel searches to decompose complex queries and rank results by relevance.

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