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external-context

Decompose queries into facets and synthesize parallel agent search results.

Updated May 30, 2026
Search Tags:#parallel processing#parallel search#external context#context enhancement#document specialist
One-click install
npx skills add https://github.com/kwt00/oh-my-grok --skill external-context-kwt00
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: external-context
Source: https://github.com/kwt00/oh-my-grok/tree/main/skills/external-context
Command: npx skills add https://github.com/kwt00/oh-my-grok --skill external-context-kwt00

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill provides comprehensive external context by leveraging parallel document-specialist agents to fetch and analyze relevant information from various sources, enhancing the depth and breadth of knowledge for a given query.

Core Features & Use Cases

  • Parallel Document Search: Initiates multiple concurrent searches to gather a variety of perspectives on the topic.
  • Faceted Search Decomposition: Breaks down a query into distinct search facets to ensure comprehensive coverage.
  • Synthesized Output: Aggregates and presents findings in a structured format for easy digestion.

Quick Start

Use the /oh-my-grok:external-context command to search for detailed context on a topic. For example, /oh-my-grok:external-context What are the best practices for JWT token rotation in Node.js?

Frequently Asked Questions about external-context

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

FAQPage Schema
How do I get external context for a complex query using parallel search?▼

You can get external context by decomposing your query into multiple facets and executing parallel document-specialist agent searches to fetch, analyze, and synthesize relevant information from various sources.

What's the best way to ensure comprehensive coverage when searching for external documents?▼

Faceted search decomposition breaks down a query into distinct search facets, ensuring comprehensive coverage by initiating multiple concurrent searches to gather a variety of perspectives on the topic.

Does parallel document search require Claude agents to retrieve information?▼

Yes, this parallel document search approach requires Claude agents to perform the search and retrieval tasks needed to fetch and analyze relevant information from various sources.

Can I use parallel processing to synthesize multiple document search results?▼

Yes, parallel processing aggregates and synthesizes findings from multiple concurrent document-specialist agent searches, presenting the results in a structured format for easy digestion.

How do I enhance context depth for a Node.js topic query?▼

You can enhance context depth by using the external-context command to search for detailed context, which leverages parallel document-specialist agents to fetch and analyze relevant information.

When should I not use parallel external search for query context enhancement?▼

You should avoid parallel external search for simple, single-fact queries where the overhead of decomposing facets and running multiple concurrent agent searches outweighs the need for synthesized external context.

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