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firecrawl-deep-research

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Firecrawl Deep Research

Firecrawl 深度研究

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.
This skill gathers its evidence from the open web. If the evidence base is the published literature — a literature review, or a biomedical, clinical, or other scientific topic where the answer lives in papers — use firecrawl-research-papers instead; it queries Firecrawl's paper index rather than searching websites.
仅将此技能用于报告级别的研究：即用户明确要求以正式书面报告形式交付的、严谨且带有引用的综合研究内容。如果请求是产品选型、Top-N榜单、快速查询或任何可通过简短搜索得到答案的内容，请停止使用此技能，按常规方式处理该请求。
此技能从公开网络收集证据。如果研究的证据基础是已发表文献——比如文献综述，或是生物医学、临床或其他科学领域中答案存在于论文中的主题——请改用firecrawl-research-papers；该技能会查询Firecrawl的论文索引，而非搜索普通网站。

Onboarding Interview

入职访谈

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.
从上下文推断研究主题和输出格式。开始前，除非用户已明确说明，否则务必询问一个简短问题来界定范围：
“你希望这项研究任务持续多久？”
将答案对应到下方收集计划中的深度层级：
  • 几分钟 → 快速
  • ~10-15分钟 → 详尽
  • 更长时间/无限制 → 全面
如果主题本身不明确，你最多可以额外提出1-2个简洁的问题（关于主题，或是关键研究角度/来源限制）。否则，一旦确定运行时长，即可开始执行。

Firecrawl Collection Plan

Firecrawl 收集计划

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.
通过CLI或等效工具界面使用Firecrawl进行搜索和爬取。根据用户在入职访谈中选择的运行时长匹配研究深度。
  • 快速（约几分钟）：搜索3-5个查询词，爬取5-10个高质量来源。
  • 详尽（约10-15分钟）：从不同角度搜索5-10个查询词，爬取15-25个来源。
  • 全面（更长时间）：搜索10个以上查询词，爬取25个以上来源，包括原始资料、研究论文、专家观点和相反立场的来源。
避免重复爬取已通过“搜索加爬取”结果返回完整内容的URL。

When Published Papers Are The Evidence

当已发表论文为研究证据时

Search and scrape reach web pages. They do not query Firecrawl's research paper index, which holds paper abstracts with full text reachable per paper — largely biomedical and life-science literature from PubMed, bioRxiv, and medRxiv, plus arXiv preprints in CS, physics, and math.
Hand off to firecrawl-research-papers when the report's evidence base is the published literature — a biomedical, clinical, drug, gene, disease, epidemiology, or public-health topic, or any request phrased as a literature review, systematic review, or survey of studies. That skill uses 
firecrawl_research_*
(MCP) / 
firecrawl research
(CLI) to search abstracts, expand to related papers, and verify claims inside a paper body — none of which plain search and scrape can do.
If the report needs both — the literature and market, policy, or news context — run the paper work through that skill and keep the web collection above for the rest, then synthesize here.
Note that passing 
categories: ["research"]
to Firecrawl search does not query the paper index either. It filters an ordinary web search to research-affiliated websites — the list includes PubMed, bioRxiv, medRxiv, arXiv, and publisher sites — and returns their web pages, not the paper records behind them.
搜索和爬取仅针对网页。它们不会查询Firecrawl的研究论文索引，该索引包含论文摘要，且可获取每篇论文的全文——主要涵盖来自PubMed、bioRxiv和medRxiv的生物医学和生命科学文献，以及计算机科学、物理学和数学领域的arXiv预印本。
当报告的证据基础为已发表文献时——比如生物医学、临床、药物、基因、疾病、流行病学或公共卫生主题，或是任何表述为文献综述、系统综述或研究调查的请求——请转交给firecrawl-research-papers处理；该技能使用
firecrawl_research_*
（MCP）/
firecrawl research
（CLI）来搜索摘要、拓展相关论文，并验证论文正文中的论断——这些都是普通搜索和爬取无法实现的功能。
如果报告同时需要文献以及市场、政策或新闻背景，请使用该技能处理论文相关工作，同时使用上述网页收集方法处理其他内容，在此处进行综合。
请注意，向Firecrawl搜索传递
categories: ["research"]
参数也不会查询论文索引。它仅会过滤普通网页搜索，保留研究相关网站——包括PubMed、bioRxiv、medRxiv、arXiv和出版商网站——并返回这些网站的网页，而非背后的论文记录。

Parallel Work

并行工作

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.
如有必要，按研究角度使用子Agent或等效并行任务运行器：
  • 概述与定义
  • 技术或实现细节
  • 市场与行业背景
  • 相反观点、风险与局限性
  • 原始资料与官方文档
每个研究人员应返回论断、来源URL、来源质量说明以及不确定性标注。

Final Deliverable

最终交付成果

Default structure:
markdown
undefined
默认结构：
markdown
undefined

Deep Research: [Topic]

深度研究：[主题]

Executive Summary

执行摘要

[2-3 paragraphs]
[2-3段内容]

Key Findings

关键研究结果

[Numbered findings with source links]
[带来源链接的编号结果]

Detailed Analysis

详细分析

[Themes, evidence, and synthesis]
[主题、证据与综合内容]

Contrarian Views And Risks

相反观点与风险

[Counterarguments, limitations, failure modes]
[反驳论点、局限性、失败模式]

Open Questions

开放问题

[What remains uncertain]
[仍不确定的内容]

Sources

来源

[Every URL used with a one-line note]
[所有使用的URL及一行说明]

Rerun Inputs

重运行输入

workflow: firecrawl-deep-research topic: [topic] depth: [quick/thorough/exhaustive] output: [markdown/json/brief]
undefined
workflow: firecrawl-deep-research topic: [主题] depth: [quick/thorough/exhaustive] output: [markdown/json/brief]
undefined

Quality Bar

质量标准

  • Cite sources for factual claims.
  • Prefer primary sources when available.
  • Flag uncertainty and conflicting evidence.
  • Synthesize instead of listing scrape summaries.
  • 事实论断需注明来源。
  • 优先使用原始资料。
  • 标注不确定性和相互矛盾的证据。
  • 进行综合分析，而非罗列爬取摘要。