deep-research

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.

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.

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.

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.

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.

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.