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search-strategy

Decompose natural language queries into source-specific searches across enterprise data systems.

Updated Aug 23, 2026
Search Tags:#knowledge management#information retrieval#data synthesis#enterprise search#query decomposition#multi-source search
One-click install
npx skills add https://github.com/fuww/knowledge-work-plugins --skill search-strategy-fuww
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: search-strategy
Source: https://github.com/fuww/knowledge-work-plugins/tree/main/enterprise-search/skills/search-strategy
Command: npx skills add https://github.com/fuww/knowledge-work-plugins --skill search-strategy-fuww

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill tackles the challenge of finding specific information scattered across various enterprise data sources by intelligently breaking down complex natural language queries into targeted searches.

Core Features & Use Cases

  • Query Decomposition: Analyzes user questions to identify intent, keywords, and entities.
  • Multi-Source Search: Generates and executes tailored queries for different systems like chat, knowledge bases, code repositories, and CRMs.
  • Result Synthesis: Ranks, deduplicates, and presents information from disparate sources into a coherent answer.
  • Use Case: Asking "What did we decide about the API migration timeline?" will trigger searches across chat logs, documentation, and project trackers to find the relevant decision.

Quick Start

Use the search-strategy skill to find out what was decided 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 data sources like chat logs and code repositories at once?▼

Enterprise search orchestration decomposes natural language queries into source-specific search commands across chat, knowledge bases, code repositories, and CRMs to retrieve scattered information simultaneously.

What is the best way to find specific decisions from past project discussions?▼

Intelligent query decomposition analyzes natural language questions to identify intent and entities, triggering targeted searches across project trackers and documentation to locate specific past decisions.

How does multi-source information retrieval handle conflicting or ambiguous search results?▼

Multi-source information retrieval handles ambiguity resolution and applies ranking algorithms to deduplicate and synthesize disparate data into a single coherent answer.

Can I use natural language queries to search my company's CRM and knowledge bases?▼

Yes, natural language queries are translated into tailored search commands that execute simultaneously across connected enterprise systems like CRMs and knowledge bases.

What happens when an enterprise search fails to find information in the primary data sources?▼

When primary sources yield insufficient data, the search strategy implements fallback strategies to ensure comprehensive data discovery across alternative connected repositories.

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