
Skill
firecrawl-deep-research
conduct deep research with Firecrawl
Description
Produce an intensive, cited analytical report: executive summary, multi-angle findings, contrarian views, open questions, and full sources. Use only when the user needs rigorous synthesis of a complex topic (scientific, technical, policy, or market-analytical) that cannot be answered with a short search, and wants a formal written report, not a recommendation list. Do not use for product picks, top-N lists, quick lookups, or routine "find out about X" tasks. If the request does not clearly need this kind of report, do not use this skill.
SKILL.md
Firecrawl Deep Research
Use this only for report-scale research: a rigorous, cited synthesis the user explicitly wants delivered as a formal written report. If the request is a product pick, a top-N list, a quick lookup, or anything answerable with a short search, stop; do not use this skill, let the request be handled the standard way.
Onboarding Interview
Infer the topic and output format from context. Before starting, unless already specified, always ask one short question to define the scope:
"How long do you want this research task to run?"
Map the answer to a depth tier in the Collection Plan below:
- A few minutes → Quick
- ~10-15 minutes → Thorough
- Longer / no limit → Exhaustive
If the topic itself is unclear, you may ask at most 1-2 additional concise questions (topic, or a critical angle/source constraint). Otherwise proceed once the runtime is set.
Firecrawl Collection Plan
Use Firecrawl search and scrape through the CLI or equivalent tool surface. Match depth to the runtime the user chose during onboarding.
- Quick (~a few minutes): search 3-5 queries and scrape 5-10 high-quality sources.
- Thorough (~10-15 minutes): search 5-10 queries from different angles and scrape 15-25 sources.
- Exhaustive (longer): search 10+ queries and scrape 25+ sources, including primary sources, research papers, expert views, and contrarian sources.
Avoid re-scraping URLs already returned with full content from a search-with-scrape result.
Parallel Work
If appropriate, use sub-agents or equivalent parallel task runners by research angle:
- overview and definitions
- technical or implementation details
- market and industry context
- contrarian views, risks, and limitations
- primary sources and official docs
Each researcher should return claims, source URLs, source quality notes, and uncertainty.
Final Deliverable
Default structure:
# Deep Research: [Topic]
## Executive Summary
[2-3 paragraphs]
## Key Findings
[Numbered findings with source links]
## Detailed Analysis
[Themes, evidence, and synthesis]
## Contrarian Views And Risks
[Counterarguments, limitations, failure modes]
## Open Questions
[What remains uncertain]
## Sources
[Every URL used with a one-line note]
## Rerun Inputs
workflow: firecrawl-deep-research
topic: [topic]
depth: [quick/thorough/exhaustive]
output: [markdown/json/brief]
Quality Bar
- Cite sources for factual claims.
- Prefer primary sources when available.
- Flag uncertainty and conflicting evidence.
- Synthesize instead of listing scrape summaries.
More skills from the firecrawl-workflows repository
View all 16 skillsfirecrawl-company-directories
extract company directories with Firecrawl
Jun 30AutomationData EngineeringFirecrawlWeb Scrapingfirecrawl-competitive-intel
monitor competitor product changes with Firecrawl
Jun 30Competitive IntelligenceFirecrawlMarketingWeb Scrapingfirecrawl-dashboard-reporting
pull metrics from analytics dashboards
Jun 30AnalyticsDashboardsFirecrawlReporting +1firecrawl-demo-walkthrough
generate product walkthroughs with Firecrawl
Jun 30AutomationFirecrawlUX DesignWeb Scrapingfirecrawl-knowledge-base
build knowledge bases from web content
Jun 30Data EngineeringFirecrawlKnowledge ManagementSearchfirecrawl-knowledge-ingest
ingest knowledge bases with Firecrawl
Jun 30FirecrawlKnowledge ManagementWeb Scraping
More from Firecrawl
View publishercompetitor-analysis
analyze competitors across features and pricing
web-agent
Apr 17Competitive IntelligenceFirecrawlResearchdeep-research
conduct multi-source deep research
web-agent
Apr 17FirecrawlKnowledge ManagementResearche-commerce
extract product data from e-commerce sites
web-agent
May 15E-commerceFirecrawlWeb Scrapingfinancial-research
pull financial data for public companies
web-agent
May 15FinanceFirecrawlResearchSEC Filingspricing-tracker
track and compare vendor pricing tiers
web-agent
Apr 17Competitive IntelligenceFirecrawlResearchSaaSstructured-extraction
extract structured data from websites
web-agent
May 15Data EngineeringFirecrawlWeb Scraping