deep-research

Conduct multi-agent research on topics with synthesized findings and citations.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/swtch1/dotfiles --skill deep-research-swtch1
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: deep-research
Source: https://github.com/swtch1/dotfiles/tree/main/.claude/skills/deep-research
Command: npx skills add https://github.com/swtch1/dotfiles --skill deep-research-swtch1

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill automates comprehensive, multi-source research on complex topics, providing in-depth analysis and synthesized findings that rival human expert research.

Core Features & Use Cases

  • Parallel Agent Orchestration: Spawns multiple AI agents to investigate different facets of a research question simultaneously.
  • Adaptive Research Depth: Automatically adjusts the number of sources and depth of analysis based on the complexity of the query.
  • Source Cross-Referencing: Ensures accuracy and completeness by comparing information across numerous high-quality sources.
  • Use Case: When faced with a complex technical question like "What are the state-of-the-art approaches to distributed tracing?", this Skill will deploy multiple agents to gather and synthesize information from academic papers, technical documentation, and expert articles, providing a comprehensive overview with citations.

Quick Start

Use the deep-research skill to find everything about the latest advancements in quantum computing.

Frequently Asked Questions about deep-research

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

FAQPage Schema
How can I conduct comprehensive research and synthesize information from multiple sources?

Comprehensive research and information synthesis is conducted by spawning parallel AI agents that simultaneously investigate different facets of a topic, cross-referencing numerous sources to provide an in-depth analysis with citations.

What is the best way to cross-reference conflicting information during a deep dive analysis?

The best way to resolve conflicting information during a deep dive is by using multi-agent research that compares data across numerous high-quality sources, prioritizing primary sources to ensure accuracy and completeness.

How does adaptive research depth handle complex technical questions?

Adaptive research depth handles complex technical questions by automatically adjusting the number of sources and the depth of analysis required based on the specific complexity of the query provided.

Can I use multi-agent research for gathering state-of-the-art approaches from academic papers?

Yes, you can use multi-agent research for gathering state-of-the-art approaches, as it deploys multiple agents to synthesize information from academic papers, technical documentation, and expert articles.

When do I need parallel agent orchestration for information retrieval?

You need parallel agent orchestration for information retrieval when faced with complex questions requiring cross-referencing across multiple high-quality sources to synthesize a comprehensive overview.