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deep-research

Generates cited research summaries from web sources with confidence ratings.

2|Updated Apr 7, 2026
Search Tags:#web-search#market-research#competitive-analysis#deep-research#due-diligence#source-synthesis#cited-reports
One-click install
npx skills add https://github.com/Zenobia000/ai-brainstorming --skill deep-research-zenobia000
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: deep-research
Source: https://github.com/Zenobia000/ai-brainstorming/tree/main/.claude/custom-rule%26skill/skills/deep-research
Command: npx skills add https://github.com/Zenobia000/ai-brainstorming --skill deep-research-zenobia000

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill eliminates the frustration of unverified, unsourced research by aggregating and synthesizing findings from multiple web sources to deliver evidence-based, cited insights for any topic.

Core Features & Use Cases

  • Multi-source web aggregation: Searches academic, official, news, and blog sources using Firecrawl and Exa MCP tools for comprehensive, up-to-date coverage.
  • Cited, structured reports: Delivers findings with clear source attribution, cross-referencing, confidence ratings, and explicit acknowledgment of data gaps.
  • Use cases: Ideal for competitive analysis, market sizing, technology evaluation, company due diligence, or deep dives into niche topics. For example, you can use it to research the current state of nuclear fusion energy or compare Rust vs Go for backend services.

Quick Start

Ask the AI to research the current competitive landscape for AI code editors to receive a full cited report with key findings, actionable takeaways, and a complete list of sources.

Frequently Asked Questions about deep-research

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

FAQPage Schema
How do I generate cited competitive analysis reports from multiple web sources?▼

To generate cited competitive analysis reports, this Skill aggregates findings from multiple web sources and synthesizes them into evidence-based reports with source attribution, cross-referencing, and confidence ratings. It requires integration with Firecrawl or Exa MCP tools to execute web searches and scrape full source content.

What's the best way to automate market sizing research with source attribution?▼

The best way to automate market sizing research is using this Skill to search academic, official, news, and blog sources via Firecrawl and Exa MCP tools. It delivers structured findings with source attribution, actionable takeaways, confidence ratings, and explicit acknowledgment of data gaps.

Do I need Firecrawl or Exa MCP tools to perform due diligence research?▼

Yes, you need Firecrawl or Exa MCP tools to perform due diligence research. This Skill requires integration with these MCP tools to execute web searches, scrape full source content, and deliver structured reports with source attribution and confidence ratings.

Can I use this for technology evaluation and deep dives into niche topics?▼

Yes, you can use this for technology evaluation and deep dives into niche topics. The Skill applies to comparing technologies like Rust vs Go for backend services, researching nuclear fusion energy, or any topic requiring up-to-date, sourced insights aggregated from multiple web sources.

How does multi-source web aggregation handle conflicting findings and data gaps?▼

Multi-source web aggregation handles conflicting findings by cross-referencing sources and providing confidence ratings. The Skill explicitly acknowledges data gaps in its structured reports, ensuring transparency when source coverage is incomplete or contradictory during synthesis.

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