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external-context

Decompose queries into facets and run parallel document-specialist searches.

Updated Apr 10, 2026
Search Tags:#context retrieval#parallel search#external search#external documentation#document-specialist agents
One-click install
npx skills add https://github.com/Jurel89/copilot-omni --skill external-context-jurel89
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: external-context
Source: https://github.com/Jurel89/copilot-omni/tree/main/skills/external-context
Command: npx skills add https://github.com/Jurel89/copilot-omni --skill external-context-jurel89

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires subagent.py, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill simplifies the process of accessing external documentation and context for your queries, making it easier to find the information you need.

Core Features & Use Cases

  • External Documentation Lookup: Fetches and aggregates information from external sources.
  • Parallel Agent Execution: Utilizes multiple agents to perform concurrent searches.
  • Facet Decomposition: Breaks down queries into independent search facets for comprehensive results.
  • Use Case: If you're working on a new technology and need to understand its various aspects, you can use this Skill to gather information on different facets of the technology.

Quick Start

Use the /copilot-omni:external-context command followed by your search query or topic.

Frequently Asked Questions about external-context

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

FAQPage Schema
How do I retrieve external documentation for a complex technical query?▼

External documentation retrieval is handled by decomposing your complex query into independent search facets, allowing multiple document-specialist agents to gather comprehensive information in parallel.

How does parallel search for external context work?▼

Parallel search works by deploying multiple document-specialist agents concurrently, each targeting a specific facet of your decomposed query to fetch and aggregate external information efficiently.

Do I need Python to use parallel document-specialist agents for external search?▼

Yes, you need Python and web search libraries installed, as the parallel document-specialist agents rely on the subagent.py dependency to execute concurrent external searches.

What is the best way to gather context on a new technology across different facets?▼

The best way to gather context on a new technology is using facet decomposition, which breaks down your topic into individual search facets for parallel document-specialist agents to retrieve comprehensive external documentation.

Why decompose queries into search facets for external documentation lookup?▼

Decomposing queries into search facets ensures that parallel document-specialist agents can target individual aspects of your topic simultaneously, preventing information gaps and yielding comprehensive external documentation.

Can I use external-context for looking up specific external documentation?▼

Yes, external-context fetches and aggregates information from external sources by executing parallel document-specialist agents, making it ideal for looking up specific external documentation for software engineering queries.

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