deep-research

Aggregate and synthesize web sources into cited research reports.

2|Updated May 11, 2026

Search Tags:#firecrawl #web research #competitive analysis #due diligence #exa #source attribution #cited reports

Ready to run

npx skills add https://github.com/himanshu231204/AI_Research_agent --skill deep-research-himanshu231204

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: deep-research
Source: https://github.com/himanshu231204/AI_Research_agent/tree/main/.opencode/skills/deep-research
Command: npx skills add https://github.com/himanshu231204/AI_Research_agent --skill deep-research-himanshu231204

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill eliminates the hours of manual work required to gather, verify, and synthesize information from multiple web sources for thorough research, ensuring no key sources or citations are missed.

Core Features & Use Cases

Multi-Source Web Research: Uses firecrawl and exa MCP tools to search and scrape content from across the web for comprehensive data coverage.
Automatic Citation & Attribution: Generates properly cited findings with source links for every claim, eliminating manual referencing work.
Structured Report Generation: Produces organized research reports with executive summaries, themed findings, key takeaways, and full source lists.
Use Case Example: Use this Skill to create a cited competitive analysis report for a new AI code editor, pulling data from industry reports, news articles, and official company documentation.

Quick Start

Use the deep-research skill to produce a cited report on the current state of nuclear fusion energy progress.

Frequently Asked Questions about deep-research

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

FAQPage Schema

How do I generate a cited research report from multiple web sources automatically?▼

To generate a cited research report from multiple web sources, this Skill aggregates and synthesizes data using multi-query web searching and full-source content scraping. It produces structured reports with executive summaries, themed findings, and proper source attribution.

What is the best way to automate competitive analysis with proper source attribution?▼

Automating competitive analysis with proper source attribution is done by scraping disparate web sources and cross-referencing the data. This Skill generates evidence-backed findings with cited source links for every claim, eliminating manual referencing work.

Can I use firecrawl and exa for due diligence research and market sizing?▼

Yes, you can use firecrawl and exa for due diligence research and market sizing. This Skill leverages these tools to search and scrape content across the web, ensuring comprehensive data coverage for thorough, evidence-backed reports.

Does automated web research prioritize recent sources for technology evaluation reports?▼

Automated web research does prioritize recent sources for technology evaluation reports by applying recency prioritization during data aggregation. This ensures your synthesized findings reflect the most current industry developments and news.

How do I structure an in-depth topic investigation report with cited findings?▼

To structure an in-depth topic investigation report with cited findings, this Skill automatically organizes the synthesized data into executive summaries, themed findings, key takeaways, and a full source list. It applies cross-source synthesis to ensure comprehensive coverage.

What are the limitations of automated cross-source synthesis for research reports?▼

Limitations of automated cross-source synthesis include dependency on the availability and accessibility of web sources scraped by firecrawl and exa. The quality of the structured report relies entirely on the accuracy and depth of the data retrieved during the multi-query search.