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auto-research

Decompose strategic questions into parallel research threads and synthesize findings.

Updated Aug 23, 2026
Search Tags:#multi-agent#strategic analysis#strategic research#actionable insights#parallel research
One-click install
npx skills add https://github.com/Perryong/knowledge-agent --skill auto-research-perryong
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: auto-research
Source: https://github.com/Perryong/knowledge-agent/tree/main/.claude/skills/auto-research
Command: npx skills add https://github.com/Perryong/knowledge-agent --skill auto-research-perryong

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires websearch, webfetch, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates deep strategic research by decomposing questions, spawning multiple research agents, and synthesizing findings into actionable strategic analysis.

Core Features & Use Cases

  • Parallel Research Threads: Breaks down complex questions into 5-7 independent, specific research threads.
  • Multi-Agent Execution: Spawns and orchestrates multiple agents for parallel research, with options for solo or team modes.
  • Synthesized Analysis: Consolidates research findings into a single strategic analysis document.
  • Output Format: Provides executive summaries, scenarios, strategic options, and recommended actions.
  • Use Case: Ideal for product managers, engineering leads, founders, and anyone needing evidence-based, strategic analysis.

Quick Start

Run the auto-research command with your strategic question, e.g., "auto-research What are the strategic options for Scout if OpenAI launches a testing product?"

Frequently Asked Questions about auto-research

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

FAQPage Schema
How do I automate deep strategic research for complex product questions?▼

Automate deep strategic research by decomposing complex questions into 5-7 specific threads, spawning multiple agents for parallel research, and synthesizing findings into actionable strategic analysis.

Can I run multi-agent parallel research using websearch and webfetch?▼

Yes, multi-agent parallel research uses websearch and webfetch dependencies to execute independent research threads concurrently, enabling comprehensive data gathering and synthesis.

What is the best way to synthesize actionable insights from multiple research threads?▼

Synthesize actionable insights by consolidating parallel research findings into a single strategic analysis document that provides executive summaries, scenarios, strategic options, and recommended actions.

Does this strategic analysis approach work for product and engineering teams?▼

Yes, strategic analysis automation is particularly beneficial for product managers, engineering leads, and founders who need evidence-based analysis across various industries and complex scenarios.

How do I start automating strategic research with a specific question?▼

Start automating strategic research by running the auto-research command with your strategic question, such as asking about strategic options if a competitor launches a specific product.

What are the limitations of multi-agent strategic research for complex analysis?▼

Multi-agent strategic research requires websearch and webfetch dependencies to function, and while it orchestrates parallel research threads, the quality depends on the initial question decomposition and available web sources.

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