external-context

Decompose queries into parallel facets and synthesize cited external documentation.

1|1|Updated Apr 13, 2026
One-click install
npx skills add https://github.com/Cheggin/request-for-startups --skill external-context-cheggin
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: external-context
Source: https://github.com/Cheggin/request-for-startups/tree/main/skills/external-context
Command: npx skills add https://github.com/Cheggin/request-for-startups --skill external-context-cheggin

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill enables rapid gathering of external documentation, references, and contextual information by decomposing queries into parallel facets and coordinating document-specialist agents.

Core Features & Use Cases

  • Facet decomposition: Breaks a query into 2-5 independent search facets to diversify sources.
  • Parallel agent orchestration: Fires multiple document-specialist agents in parallel to accelerate results.
  • Synthesis with citations: Produces a structured synthesis with sources cited from official docs, GitHub, blogs, and tutorials.
  • Use Case: When evaluating a new technology, retrieve authoritative docs, implementation guides, and best practices across multiple sources in a single pass.

Quick Start

Invoke the skill with /startup-harness:external-context <topic> to fetch parallel external context from official docs, GitHub, and blogs.

Frequently Asked Questions about external-context

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

FAQPage Schema
How do I fetch external documentation and references in parallel for a technical query?

Fetching external documentation in parallel works by decomposing a query into 2-5 independent search facets and spawning document-specialist agents to retrieve sources simultaneously. This accelerates gathering authoritative context from official docs, GitHub, and blogs.

What's the best way to research and validate a new technology implementation across multiple sources?

Researching and validating a new technology implementation is best handled by firing multiple document-specialist agents in parallel across official docs, GitHub, and blogs. The approach synthesizes results with citations, retrieving authoritative guides and best practices in a single pass.

How does facet decomposition work when gathering external context for a topic?

Facet decomposition for gathering external context works by breaking a query into 2-5 independent search facets to diversify sources. Each facet is assigned to a parallel agent, ensuring comprehensive coverage across official documentation, tutorials, and community blogs.

Can I retrieve sources from official docs, GitHub, and blogs in a single pass?

Yes, retrieving sources from official docs, GitHub, and blogs in a single pass is supported by orchestrating up to five parallel document-specialist agents. The results are synthesized into a structured output with citations from all retrieved sources.

Does parallel document search require any specific dependencies or components to run?

Parallel document search requires no specific dependencies or external components to run. It operates as a standalone skill that internally decomposes queries and orchestrates parallel agents to fetch and synthesize external context with citations.

When should I not use parallel agents for external web sourcing?

You should not use parallel agents for external web sourcing when a query is too narrow to decompose into at least two independent facets. The approach is designed for complex technical topics requiring diversified sources, not simple single-answer lookups.