deep-research

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Multi-source deep research using firecrawl and exa MCPs. Searches the web, synthesizes findings, and delivers cited reports with source attribution. Use when the user wants thorough research on any topic with evidence and citations.

AI & Automation 199,470 stars 30623 forks Updated yesterday MIT

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Skill Content

# Deep Research Produce thorough, cited research reports from multiple web sources using firecrawl and exa MCP tools. ## When to Activate - User asks to research any topic in depth - Competitive analysis, technology evaluation, or market sizing - Due diligence on companies, investors, or technologies - Any question requiring synthesis from multiple sources - User says "research", "deep dive", "investigate", or "what's the current state of" ## MCP Requirements At least one of: - **firecrawl** — `firecrawl_search`, `firecrawl_scrape`, `firecrawl_crawl` - **exa** — `web_search_exa`, `web_search_advanced_exa`, `crawling_exa` Both together give the best coverage. Configure in `~/.claude.json` or `~/.codex/config.toml`. ## Workflow ### Step 1: Understand the Goal Ask 1-2 quick clarifying questions: - "What's your goal — learning, making a decision, or writing something?" - "Any specific angle or depth you want?" If the user says "just research it" — skip ahead with reasonable defaults. ### Step 2: Plan the Research Break the topic into 3-5 research sub-questions. Example: - Topic: "Impact of AI on healthcare" - What are the main AI applications in healthcare today? - What clinical outcomes have been measured? - What are the regulatory challenges? - What companies are leading this space? - What's the market size and growth trajectory? ### Step 3: Execute Multi-Source Search For EACH sub-question, search using available MCP tools: **With firecrawl:** ``` fire...

Details

Author
affaan-m
Repository
affaan-m/ECC
Created
4 months ago
Last Updated
yesterday
Language
JavaScript
License
MIT

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