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search-strategy

Decompose natural language questions into source-specific queries across enterprise data silos.

Updated Feb 6, 2026
Search Tags:#knowledge management#information retrieval#search#enterprise search#query decomposition#multi-source search
One-click install
npx skills add https://github.com/lohasle/knowledge-work-plugins --skill search-strategy-lohasle
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: search-strategy
Source: https://github.com/lohasle/knowledge-work-plugins/tree/main/enterprise-search/skills/search-strategy
Command: npx skills add https://github.com/lohasle/knowledge-work-plugins --skill search-strategy-lohasle

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill tackles the challenge of finding information scattered across multiple 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, entities, and constraints.
  • Multi-Source Search: Generates and executes optimized queries for various data sources (chat, knowledge base, project trackers, etc.).
  • Result Synthesis: Ranks, deduplicates, and synthesizes results from different sources into a coherent answer.
  • Ambiguity Handling: Asks clarifying questions when queries are ambiguous, rather than guessing.
  • Fallback Strategies: Gracefully handles unavailable sources or empty search results by broadening queries or suggesting user modifications.

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 silos with a single natural language query?▼

Enterprise search orchestration decomposes natural language questions into source-specific queries, executes targeted searches across data silos, and synthesizes ranked, deduplicated results into a unified answer.

What is query decomposition for enterprise information retrieval?▼

Query decomposition analyzes user questions to identify intent, keywords, entities, and constraints, translating them into optimized, targeted searches for various enterprise data sources like knowledge bases and project trackers.

How do I handle ambiguous search queries across enterprise knowledge bases?▼

Intelligent search orchestration handles ambiguity by asking clarifying questions to determine user intent rather than guessing, ensuring accurate information retrieval before executing targeted searches.

What happens when a data source is unavailable during a multi-source search?▼

When sources are unavailable or return empty results, fallback strategies handle failures gracefully by broadening queries or suggesting user modifications to ensure successful information retrieval.

How are search results ranked and synthesized from different project trackers and chat sources?▼

Search results from different sources are ranked by relevance and authority, then deduplicated and synthesized into a coherent answer that resolves the original natural language query.

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