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.