deep-research

Generates cited research reports from multi-source web searches using firecrawl and exa MCPs.

Updated Jul 6, 2026
One-click install
npx skills add https://github.com/chenziyang110/launchdeck --skill deep-research-chenziyang110
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: deep-research
Source: https://github.com/chenziyang110/launchdeck/tree/main/.claude/skills/deep-research
Command: npx skills add https://github.com/chenziyang110/launchdeck --skill deep-research-chenziyang110

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Answering complex questions requires gathering, reading, and synthesizing information from many web sources, which is slow and error-prone when done manually. This Skill automates multi-source web research and delivers structured reports where every claim is backed by a cited source. ## Core Features & Use Cases - Multi-Source Search: Runs keyword-varied queries through firecrawl and exa MCP tools, targeting 15-30 unique sources per topic. - Deep Source Reading: Fetches full content of key URLs with firecrawl_scrape or crawling_exa instead of relying on search snippets. - Cited Report Generation: Produces a structured report with executive summary, themed sections, inline citations, key takeaways, and a methodology note. - Parallel Subagent Research: Splits broad topics across parallel research agents for faster coverage. - Use Case: Ask for a deep dive into the competitive landscape of AI code editors and receive a sourced report with market findings, key players, and confidence ratings. ## Quick Start Research the current state of nuclear fusion energy and give me a cited report with sources.

Frequently Asked Questions about deep-research

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

FAQPage Schema
How do I do deep web research with cited sources using AI?▼

Break the topic into 3-5 sub-questions, search each with firecrawl_search or web_search_exa using multiple keyword variations, then deep-read the top sources and synthesize a report with inline citations for every claim.

What MCP tools are needed for multi-source web research?▼

At least one of firecrawl or exa MCP servers is required. Firecrawl provides firecrawl_search, firecrawl_scrape, and firecrawl_crawl; exa provides web_search_exa, web_search_advanced_exa, and crawling_exa. Using both together gives the best coverage.

How do I configure firecrawl or exa MCP for research?▼

Add the firecrawl or exa MCP server configuration to ~/.claude.json or ~/.codex/config.toml with your API credentials. Once configured, the search and scrape tools become available to the research workflow.

Can research tasks be parallelized across multiple agents?▼

Yes, broad topics can be split across parallel subagents using the Task tool, with each agent handling a subset of sub-questions. The main session then synthesizes all agent findings into the final report.

What are the limitations of automated web research reports?▼

Reports depend on source availability and search coverage, so niche topics may yield insufficient data. Single-source claims are flagged as unverified, and gaps in findings are explicitly acknowledged rather than filled with speculation.