deep-research

Searches multiple web sources and synthesizes cited research reports with source attribution.

Updated Mar 18, 2026
One-click install
npx skills add https://github.com/freedom909/real-estate-saas --skill deep-research-freedom909
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: deep-research
Source: https://github.com/freedom909/real-estate-saas/tree/main/.trae/skills/deep-research
Command: npx skills add https://github.com/freedom909/real-estate-saas --skill deep-research-freedom909

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Answering complex questions often requires gathering evidence from many web sources, verifying claims, and organizing findings into a coherent report. Doing this manually is slow and error-prone, and single-search answers lack depth and citations. ## Core Features & Use Cases - Multi-Source Search: Runs structured sub-question searches through firecrawl and exa MCP tools, targeting 15-30 unique sources per topic. - Cited Report Generation: Produces structured research reports with executive summaries, inline citations, key takeaways, and a full source list. - Parallel Subagent Research: Splits broad topics across parallel research agents that each investigate sub-questions and return findings for synthesis. - Use Case: Ask for a deep dive into the competitive landscape for AI code editors, and receive a report with an executive summary, themed findings, and attributed sources. ## Quick Start Research the current state of nuclear fusion energy and deliver 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 citations using AI?▼

Break the topic into 3-5 sub-questions, search each one with firecrawl or exa MCP tools, deep-read 3-5 key sources, then synthesize a structured report with inline citations and a source list. Every claim should link to a source.

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.

Firecrawl vs exa for web search and scraping?▼

Firecrawl focuses on searching, scraping, and crawling pages into clean content, while exa offers semantic web search with filters like publication date and token-limited crawling. The skill supports either, and combining both improves source coverage.

Can I parallelize research across multiple agents?▼

Yes. For broad topics, launch parallel research agents with the Task tool, assigning each agent a subset of sub-questions. Each agent searches and reads sources independently, and the main session synthesizes their findings into the final report.

What are the limitations of automated web research reports?▼

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