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.