[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill-firecrawl-firecrawl-research-papers":3,"mdc-gha11w-key":34,"related-org-firecrawl-firecrawl-research-papers":699,"related-repo-firecrawl-firecrawl-research-papers":859},{"slug":4,"name":4,"fn":5,"description":6,"org":7,"tags":11,"stars":23,"repoUrl":24,"updatedAt":25,"license":26,"forks":27,"topics":28,"repo":29,"sourceUrl":32,"mdContent":33},"firecrawl-research-papers","synthesize research papers with Firecrawl","Find and synthesize research papers, whitepapers, PDFs, technical reports, and academic sources with Firecrawl Research, using semantic paper search, related-paper expansion, and in-body verification. Use when the user wants a literature review, paper summary, research landscape, or sourced synthesis from PDFs and scholarly\u002Findustry publications.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},"firecrawl","Firecrawl","https:\u002F\u002Fpexgzepcugksgbtrxkhf.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Forg-logos\u002Ffirecrawl.png",[12,16,19,22],{"name":13,"slug":14,"type":15},"Research","research","tag",{"name":17,"slug":18,"type":15},"PDF","pdf",{"name":20,"slug":21,"type":15},"Summarization","summarization",{"name":9,"slug":8,"type":15},99,"https:\u002F\u002Fgithub.com\u002Ffirecrawl\u002Ffirecrawl-workflows","2026-06-30T07:02:21.468","ISC",19,[],{"repoUrl":24,"stars":23,"forks":27,"topics":30,"description":31},[],null,"https:\u002F\u002Fgithub.com\u002Ffirecrawl\u002Ffirecrawl-workflows\u002Ftree\u002FHEAD\u002Fskills\u002Ffirecrawl-research-papers","---\nname: firecrawl-research-papers\ndescription: Find and synthesize research papers, whitepapers, PDFs, technical reports, and academic sources with Firecrawl Research, using semantic paper search, related-paper expansion, and in-body verification. Use when the user wants a literature review, paper summary, research landscape, or sourced synthesis from PDFs and scholarly\u002Findustry publications.\nlicense: ISC\nmetadata:\n  author: firecrawl\n  version: \"0.1.0\"\n  homepage: https:\u002F\u002Fwww.firecrawl.dev\n  source: https:\u002F\u002Fgithub.com\u002Ffirecrawl\u002Ffirecrawl-workflows\ninputs:\n  - name: FIRECRAWL_API_KEY\n    description: Firecrawl API key for hosted Firecrawl Research, CLI, MCP, or equivalent tool requests.\n    required: true\n---\n\n# Firecrawl Research Papers\n\nUse this to create a sourced literature review.\n\n## Onboarding Interview\n\nInfer the topic, source constraints, target count, and output format from context. If the topic is clear, proceed immediately.\n\nAsk at most 1-3 concise questions only if blocked, such as the topic, target paper count, or required venue\u002Fdate\u002Fmethod constraints.\n\n## Firecrawl Collection Plan\n\nUse Firecrawl Research through the CLI, MCP, or equivalent Firecrawl tool\nsurface as the primary path for paper discovery and verification. Fall back to\ngeneral Firecrawl search and scrape for whitepapers, technical reports,\nresearch blogs, leaderboards, or facts outside the paper corpus.\n\nCore tools:\n\n- MCP: `firecrawl_research_search_papers(query, k?)`\n  CLI: `firecrawl research search-papers \u003Cquery> [--k \u003Cnumber>]`\n  Semantic search over paper abstracts. Start here for most paper-finding\n  queries, and retry with alternate framing when results are thin or too\n  narrow.\n- MCP: `firecrawl_research_related_papers(seed_ids, intent, mode?, k?)`\n  CLI: `firecrawl research related-papers \u003CseedIds...> --intent \u003Cintent> [--mode \u003Csimilar|citers|references>] [--k \u003Cnumber>]`\n  Expand from strong seed papers into similar work, citing papers, or\n  references. Use this to find the relevant paper family, not just the first\n  matching result.\n- MCP: `firecrawl_research_inspect_paper(id)`\n  CLI: `firecrawl research inspect-paper \u003Cid>`\n  Fetch canonical metadata for a candidate paper: title, abstract, authors,\n  categories, source ids, and dates.\n- MCP: `firecrawl_research_read_paper(id, question)`\n  CLI: `firecrawl research read-paper \u003Cid> --question \u003Cquestion>`\n  Verify a specific claim or constraint inside one paper, such as method,\n  reported score, benchmark, affiliation, comparison, or limitation.\n- MCP: `firecrawl_search(query)` \u002F `firecrawl_scrape(url)`\n  CLI: `firecrawl search \u003Cquery>` \u002F `firecrawl scrape \u003Curl>`\n  Use for web-only context: benchmark leaderboards, rankings, reports,\n  whitepapers, research blogs, and source pages outside the paper index.\n\nMatch the approach to the query:\n\n- Single named paper: run one paper search, then inspect or read the paper if\n  metadata or body verification is needed.\n- Paper by description, method, or topic family: search for strong anchors,\n  then expand with related papers and keep close neighbors.\n- Enumeration queries, such as papers that do a task or benchmark a method:\n  search multiple framings, expand several strong anchors, and re-seed from\n  newly found relevant papers.\n- Papers that use or exhibit a property: start from the defining paper or\n  strongest anchor, expand via similar, citers, or references, and use\n  read-paper to verify the property.\n- Superlatives and leaderboards: use general web search or scrape to find the\n  ranking, then map top entries back to papers with paper search.\n- Author, organization, venue, date, or methodology constraints: verify with\n  inspect-paper metadata or read-paper before keeping a candidate.\n\nTarget source types:\n\n- academic papers from arXiv, university sites, ACM\u002FIEEE pages where accessible\n- industry reports and whitepapers\n- company research blogs\n- technical articles and conference summaries\n\nPrinciples:\n\n- When in doubt, include the relevant paper family rather than only the single\n  best result.\n- Use related-paper expansion to avoid stopping at one strong hit.\n- Use read-paper to verify load-bearing constraints, not to summarize every\n  candidate.\n- Drop only clearly off-topic papers.\n\n## Parallel Work\n\nIf appropriate, use sub-agents or equivalent parallel task runners:\n\n- Academic Papers researcher\n- Industry Reports researcher\n- Technical Articles researcher\n- Synthesis and citation reviewer\n\n## Final Deliverable\n\n```markdown\n# Literature Review: [Topic]\n\n## Abstract\n[2-3 paragraph summary]\n\n## Key Papers\n[Title, authors, source URL, key findings, methodology, relevance]\n\n## Themes And Consensus\n[What sources agree on]\n\n## Open Questions And Debates\n[Disagreements and unresolved questions]\n\n## Emerging Trends\n[Recent developments]\n\n## Sources\n[Organized by paper\u002Freport\u002Farticle]\n\n## Rerun Inputs\nworkflow: firecrawl-research-papers\ntopic: [topic]\ntarget_count: [number]\noutput: [markdown\u002Fbrief]\n```\n\n## Quality Bar\n\n- Every major claim should trace to a source.\n- Note inaccessible or failed PDFs.\n- Distinguish peer-reviewed work from blogs and vendor reports.\n",{"data":35,"body":44},{"name":4,"description":6,"license":26,"metadata":36,"inputs":39},{"author":8,"version":37,"homepage":38,"source":24},"0.1.0","https:\u002F\u002Fwww.firecrawl.dev",[40],{"name":41,"description":42,"required":43},"FIRECRAWL_API_KEY","Firecrawl API key for hosted Firecrawl Research, CLI, MCP, or equivalent tool requests.",true,{"type":45,"children":46},"root",[47,55,61,68,73,78,84,89,94,212,217,250,255,278,283,306,312,317,340,346,669,675,693],{"type":48,"tag":49,"props":50,"children":51},"element","h1",{"id":4},[52],{"type":53,"value":54},"text","Firecrawl Research Papers",{"type":48,"tag":56,"props":57,"children":58},"p",{},[59],{"type":53,"value":60},"Use this to create a sourced literature review.",{"type":48,"tag":62,"props":63,"children":65},"h2",{"id":64},"onboarding-interview",[66],{"type":53,"value":67},"Onboarding Interview",{"type":48,"tag":56,"props":69,"children":70},{},[71],{"type":53,"value":72},"Infer the topic, source constraints, target count, and output format from context. 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",{"type":48,"tag":358,"props":657,"children":658},{"style":365},[659],{"type":53,"value":379},{"type":48,"tag":358,"props":661,"children":662},{"style":382},[663],{"type":53,"value":664},"markdown\u002Fbrief",{"type":48,"tag":358,"props":666,"children":667},{"style":365},[668],{"type":53,"value":390},{"type":48,"tag":62,"props":670,"children":672},{"id":671},"quality-bar",[673],{"type":53,"value":674},"Quality Bar",{"type":48,"tag":95,"props":676,"children":677},{},[678,683,688],{"type":48,"tag":99,"props":679,"children":680},{},[681],{"type":53,"value":682},"Every major claim should trace to a source.",{"type":48,"tag":99,"props":684,"children":685},{},[686],{"type":53,"value":687},"Note inaccessible or failed PDFs.",{"type":48,"tag":99,"props":689,"children":690},{},[691],{"type":53,"value":692},"Distinguish peer-reviewed work from blogs and vendor reports.",{"type":48,"tag":694,"props":695,"children":696},"style",{},[697],{"type":53,"value":698},"html .light .shiki span {color: var(--shiki-light);background: var(--shiki-light-bg);font-style: var(--shiki-light-font-style);font-weight: var(--shiki-light-font-weight);text-decoration: var(--shiki-light-text-decoration);}html.light .shiki span {color: var(--shiki-light);background: var(--shiki-light-bg);font-style: var(--shiki-light-font-style);font-weight: var(--shiki-light-font-weight);text-decoration: var(--shiki-light-text-decoration);}html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html.dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}",{"items":700,"total":858},[701,715,727,740,755,768,780,792,804,821,834,846],{"slug":702,"name":702,"fn":703,"description":704,"org":705,"tags":706,"stars":712,"repoUrl":713,"updatedAt":714},"competitor-analysis","analyze competitors across features and pricing","Compare two or more companies, products, or platforms across pricing, features, positioning, and docs. Use this skill whenever the user says \"compare X vs Y\", \"how does X stack up against Y\", \"alternatives to X\", \"competitive landscape of …\", \"X vs Y vs Z\", or asks for a competitor matrix. Uses search to discover competitors when the user only names a category, then scrape for each competitor's homepage, pricing page, and features\u002Fdocs. Returns a normalized comparison matrix as JSON.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[707,710,711],{"name":708,"slug":709,"type":15},"Competitive Intelligence","competitive-intelligence",{"name":9,"slug":8,"type":15},{"name":13,"slug":14,"type":15},1130,"https:\u002F\u002Fgithub.com\u002Ffirecrawl\u002Fweb-agent","2026-04-17T05:00:44.623049",{"slug":716,"name":716,"fn":717,"description":718,"org":719,"tags":720,"stars":712,"repoUrl":713,"updatedAt":726},"deep-research","conduct multi-source deep research","Multi-source research with source triangulation and fact-checking. Use for any research task requiring 3+ sources.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[721,722,725],{"name":9,"slug":8,"type":15},{"name":723,"slug":724,"type":15},"Knowledge Management","knowledge-management",{"name":13,"slug":14,"type":15},"2026-04-17T05:00:45.852512",{"slug":728,"name":728,"fn":729,"description":730,"org":731,"tags":732,"stars":712,"repoUrl":713,"updatedAt":739},"e-commerce","extract product data from e-commerce sites","Navigate e-commerce sites to extract products, pricing, categories, and inventory. Handles pagination, variants, and JS-heavy storefronts.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[733,735,736],{"name":734,"slug":728,"type":15},"E-commerce",{"name":9,"slug":8,"type":15},{"name":737,"slug":738,"type":15},"Web Scraping","web-scraping","2026-05-15T06:15:30.880268",{"slug":741,"name":741,"fn":742,"description":743,"org":744,"tags":745,"stars":712,"repoUrl":713,"updatedAt":754},"financial-research","pull financial data for public companies","Pull company financials, SEC filings, and analyst consensus for a public company. Use this skill whenever the user says \"10-K\", \"10-Q\", \"earnings\", \"revenue of\", \"financials for\", \"analyst rating for\", \"price target for\", or provides a stock ticker. Combines SEC EDGAR for official filings with Yahoo Finance \u002F TipRanks for analyst data. Search + scrape only; no interact needed.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[746,749,750,751],{"name":747,"slug":748,"type":15},"Finance","finance",{"name":9,"slug":8,"type":15},{"name":13,"slug":14,"type":15},{"name":752,"slug":753,"type":15},"SEC Filings","sec-filings","2026-05-15T06:15:33.293957",{"slug":756,"name":756,"fn":757,"description":758,"org":759,"tags":760,"stars":712,"repoUrl":713,"updatedAt":767},"pricing-tracker","track and compare vendor pricing tiers","Extract and normalize pricing tiers from any SaaS, API, cloud, or LLM vendor's pricing page. Use this skill whenever the user says \"pricing for X\", \"how much does X cost\", \"pricing tiers\", \"cost comparison\", provides a URL ending in `\u002Fpricing` or `\u002Fplans`, or asks to monitor pricing over time. Pairs well with `exportSkill` to turn a run into a cron-friendly workflow. Scrape-driven; no interact needed for typical pricing pages.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[761,762,763,764],{"name":708,"slug":709,"type":15},{"name":9,"slug":8,"type":15},{"name":13,"slug":14,"type":15},{"name":765,"slug":766,"type":15},"SaaS","saas","2026-04-17T05:00:43.349332",{"slug":769,"name":769,"fn":770,"description":771,"org":772,"tags":773,"stars":712,"repoUrl":713,"updatedAt":779},"structured-extraction","extract structured data from websites","Extract structured data matching a JSON schema from websites. Handles complex nested schemas, arrays, pagination, and validation. Always outputs via formatOutput.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[774,777,778],{"name":775,"slug":776,"type":15},"Data Engineering","data-engineering",{"name":9,"slug":8,"type":15},{"name":737,"slug":738,"type":15},"2026-05-15T06:15:32.092034",{"slug":781,"name":781,"fn":782,"description":783,"org":784,"tags":785,"stars":23,"repoUrl":24,"updatedAt":25},"firecrawl-company-directories","extract company directories with Firecrawl","Extract structured company lists from directories with Firecrawl. Use for scraping YC, Crunchbase, Product Hunt, G2, startup directories, category directories, or custom company databases into JSON, CSV, CRM-ready lists, or research tables.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[786,789,790,791],{"name":787,"slug":788,"type":15},"Automation","automation",{"name":775,"slug":776,"type":15},{"name":9,"slug":8,"type":15},{"name":737,"slug":738,"type":15},{"slug":793,"name":793,"fn":794,"description":795,"org":796,"tags":797,"stars":23,"repoUrl":24,"updatedAt":25},"firecrawl-competitive-intel","monitor competitor product changes with Firecrawl","Monitor competitor pricing, features, changelogs, dashboards, and product changes with Firecrawl. Use for recurring competitive intelligence, pricing tier extraction, feature change tracking, or structured competitor alerts.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[798,799,800,803],{"name":708,"slug":709,"type":15},{"name":9,"slug":8,"type":15},{"name":801,"slug":802,"type":15},"Marketing","marketing",{"name":737,"slug":738,"type":15},{"slug":805,"name":805,"fn":806,"description":807,"org":808,"tags":809,"stars":23,"repoUrl":24,"updatedAt":25},"firecrawl-dashboard-reporting","pull metrics from analytics dashboards","Pull metrics from analytics dashboards and internal web tools with Firecrawl browser. Use when the user needs dashboard reporting, cross-platform metric summaries, authenticated analytics extraction, date-range reports, or structured metrics from web dashboards.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[810,813,816,817,820],{"name":811,"slug":812,"type":15},"Analytics","analytics",{"name":814,"slug":815,"type":15},"Dashboards","dashboards",{"name":9,"slug":8,"type":15},{"name":818,"slug":819,"type":15},"Reporting","reporting",{"name":737,"slug":738,"type":15},{"slug":822,"name":822,"fn":823,"description":824,"org":825,"tags":826,"stars":23,"repoUrl":24,"updatedAt":25},"firecrawl-deep-research","conduct deep research with Firecrawl","Produce an intensive, cited analytical report: executive summary, multi-angle\nfindings, contrarian views, open questions, and full sources. Use only when the\nuser needs rigorous synthesis of a complex topic (scientific, technical, policy,\nor market-analytical) that cannot be answered with a short search, and wants\na formal written report, not a recommendation list.\n\nDo not use for product picks, top-N lists, quick lookups, or routine \"find out\nabout X\" tasks. If the request does not clearly need this kind of report, do\nnot use this skill.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[827,828,831,832,833],{"name":9,"slug":8,"type":15},{"name":829,"slug":830,"type":15},"Firecrawl Research","firecrawl-research",{"name":13,"slug":14,"type":15},{"name":20,"slug":21,"type":15},{"name":737,"slug":738,"type":15},{"slug":835,"name":835,"fn":836,"description":837,"org":838,"tags":839,"stars":23,"repoUrl":24,"updatedAt":25},"firecrawl-demo-walkthrough","generate product walkthroughs with Firecrawl","Walk through a product's key flows with Firecrawl browser and produce a structured UX\u002Fproduct walkthrough. Use for signup, onboarding, pricing, docs, dashboard, product demo prep, UX teardown, and first-run experience analysis.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[840,841,842,845],{"name":787,"slug":788,"type":15},{"name":9,"slug":8,"type":15},{"name":843,"slug":844,"type":15},"UX Design","ux-design",{"name":737,"slug":738,"type":15},{"slug":847,"name":847,"fn":848,"description":849,"org":850,"tags":851,"stars":23,"repoUrl":24,"updatedAt":25},"firecrawl-knowledge-base","build knowledge bases from web content","Build a knowledge base from web content with Firecrawl. Use for local reference docs, RAG-ready chunks, fine-tuning datasets, documentation mirrors, topic corpora, or LLM-ready markdown organized from web sources.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[852,853,854,855],{"name":775,"slug":776,"type":15},{"name":9,"slug":8,"type":15},{"name":723,"slug":724,"type":15},{"name":856,"slug":857,"type":15},"Search","search",36,{"items":860,"total":537},[861,868,875,883,891,898,905],{"slug":781,"name":781,"fn":782,"description":783,"org":862,"tags":863,"stars":23,"repoUrl":24,"updatedAt":25},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[864,865,866,867],{"name":787,"slug":788,"type":15},{"name":775,"slug":776,"type":15},{"name":9,"slug":8,"type":15},{"name":737,"slug":738,"type":15},{"slug":793,"name":793,"fn":794,"description":795,"org":869,"tags":870,"stars":23,"repoUrl":24,"updatedAt":25},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[871,872,873,874],{"name":708,"slug":709,"type":15},{"name":9,"slug":8,"type":15},{"name":801,"slug":802,"type":15},{"name":737,"slug":738,"type":15},{"slug":805,"name":805,"fn":806,"description":807,"org":876,"tags":877,"stars":23,"repoUrl":24,"updatedAt":25},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[878,879,880,881,882],{"name":811,"slug":812,"type":15},{"name":814,"slug":815,"type":15},{"name":9,"slug":8,"type":15},{"name":818,"slug":819,"type":15},{"name":737,"slug":738,"type":15},{"slug":822,"name":822,"fn":823,"description":824,"org":884,"tags":885,"stars":23,"repoUrl":24,"updatedAt":25},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[886,887,888,889,890],{"name":9,"slug":8,"type":15},{"name":829,"slug":830,"type":15},{"name":13,"slug":14,"type":15},{"name":20,"slug":21,"type":15},{"name":737,"slug":738,"type":15},{"slug":835,"name":835,"fn":836,"description":837,"org":892,"tags":893,"stars":23,"repoUrl":24,"updatedAt":25},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[894,895,896,897],{"name":787,"slug":788,"type":15},{"name":9,"slug":8,"type":15},{"name":843,"slug":844,"type":15},{"name":737,"slug":738,"type":15},{"slug":847,"name":847,"fn":848,"description":849,"org":899,"tags":900,"stars":23,"repoUrl":24,"updatedAt":25},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[901,902,903,904],{"name":775,"slug":776,"type":15},{"name":9,"slug":8,"type":15},{"name":723,"slug":724,"type":15},{"name":856,"slug":857,"type":15},{"slug":906,"name":906,"fn":907,"description":908,"org":909,"tags":910,"stars":23,"repoUrl":24,"updatedAt":25},"firecrawl-knowledge-ingest","ingest knowledge bases with Firecrawl","Ingest public or authenticated knowledge bases and docs portals with Firecrawl browser. Use for JS-heavy docs, login-gated portals, paginated help centers, support knowledge bases, or structured JSON\u002Fmarkdown extraction from documentation sites.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[911,912,913],{"name":9,"slug":8,"type":15},{"name":723,"slug":724,"type":15},{"name":737,"slug":738,"type":15}]