firecrawl-deep-research
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.
What this skill does
# 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: ```markdown # 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.
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