deep-research

Decompose research queries, gather diverse sources, and synthesize citation-backed reports.

147|32|Updated Feb 11, 2026
One-click install
npx skills add https://github.com/seb1n/awesome-ai-agent-skills --skill deep-research-seb1n
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: deep-research
Source: https://github.com/seb1n/awesome-ai-agent-skills/tree/main/research-and-knowledge/deep-research
Command: npx skills add https://github.com/seb1n/awesome-ai-agent-skills --skill deep-research-seb1n

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill tackles complex research questions by breaking them down, gathering diverse information, and synthesizing it into a comprehensive, citation-backed report, overcoming the limitations of single-query searches.

Core Features & Use Cases

  • Decomposition: Breaks down broad topics into targeted sub-queries.
  • Multi-Source Gathering: Collects information from academic papers, industry reports, news, and more.
  • Cross-Referencing: Validates findings and identifies discrepancies.
  • Synthesis: Generates structured, citation-backed reports with executive summaries.
  • Use Case: Research the impact of quantum computing on cybersecurity, including current research, potential threats, and mitigation strategies, resulting in a detailed report.

Quick Start

Use the deep-research skill to research the current state of WebAssembly adoption in 2025.

Frequently Asked Questions about deep-research

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

FAQPage Schema
How do I conduct in-depth research and synthesize findings from multiple sources?

In-depth research and synthesis is conducted by decomposing broad topics into targeted sub-queries, gathering diverse information, cross-referencing findings for validation, and generating a structured, citation-backed report for informed decision-making.

What is the best way to cross-reference information and validate sources for a comprehensive report?

Cross-referencing information involves collecting data from academic papers, industry reports, and news, then validating findings and identifying discrepancies to ensure broad coverage and source accuracy before generating a structured report.

How do I break down complex research questions into manageable sub-queries?

Breaking down complex research questions involves decomposing broad topics into targeted sub-queries, which allows the research process to gather diverse information systematically and address complex analytical needs effectively.

Can I use automated research synthesis for broad topics like the impact of quantum computing on cybersecurity?

Automated research synthesis handles broad topics like quantum computing's impact on cybersecurity by decomposing the query, gathering diverse sources on current research and threats, cross-referencing findings, and synthesizing a detailed report with mitigation strategies.

Does this research approach generate citation-backed reports with executive summaries?

This research approach generates citation-backed reports that include executive summaries, ensuring structured output by synthesizing cross-referenced findings from diverse sources into a comprehensive document for decision-making.

When do I need multi-step information gathering and query decomposition for knowledge discovery?

Multi-step information gathering and query decomposition are needed when addressing complex analytical questions that require overcoming the limitations of single-query searches to ensure broad coverage and source validation.