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",{"type":41,"tag":67,"props":781,"children":783},{"className":782},[],[784],{"type":46,"value":538},{"type":46,"value":786}," + ",{"type":41,"tag":67,"props":788,"children":790},{"className":789},[],[791],{"type":46,"value":555},{"type":46,"value":793}," to get only relevant content instead of full pages.",{"type":41,"tag":165,"props":795,"children":796},{},[797,809,811,816],{"type":41,"tag":188,"props":798,"children":799},{},[800,802,807],{"type":46,"value":801},"Try ",{"type":41,"tag":67,"props":803,"children":805},{"className":804},[],[806],{"type":46,"value":588},{"type":46,"value":808}," first",{"type":46,"value":810},", fall back to ",{"type":41,"tag":67,"props":812,"children":814},{"className":813},[],[815],{"type":46,"value":596},{"type":46,"value":817}," if content is missing.",{"type":41,"tag":165,"props":819,"children":820},{},[821,831],{"type":41,"tag":188,"props":822,"children":823},{},[824,826],{"type":46,"value":825},"Set ",{"type":41,"tag":67,"props":827,"children":829},{"className":828},[],[830],{"type":46,"value":654},{"type":46,"value":832}," for slow pages (up to 60s).",{"type":41,"tag":165,"props":834,"children":835},{},[836,838,844],{"type":46,"value":837},"If search results already contain the content you need (via ",{"type":41,"tag":67,"props":839,"children":841},{"className":840},[],[842],{"type":46,"value":843},"--include-raw-content",{"type":46,"value":845},"), skip the extract step.",{"type":41,"tag":55,"props":847,"children":849},{"id":848},"see-also",[850],{"type":46,"value":851},"See also",{"type":41,"tag":161,"props":853,"children":854},{},[855,866],{"type":41,"tag":165,"props":856,"children":857},{},[858,864],{"type":41,"tag":146,"props":859,"children":861},{"href":860},"..\u002Ftavily-search\u002FSKILL.md",[862],{"type":46,"value":863},"tavily-search",{"type":46,"value":865}," — find pages when you don't have a URL",{"type":41,"tag":165,"props":867,"children":868},{},[869,875],{"type":41,"tag":146,"props":870,"children":872},{"href":871},"..\u002Ftavily-crawl\u002FSKILL.md",[873],{"type":46,"value":874},"tavily-crawl",{"type":46,"value":876}," — extract content from many pages on a site",{"type":41,"tag":878,"props":879,"children":880},"style",{},[881],{"type":46,"value":882},"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":884,"total":1046},[885,899,911,923,933,940,951,964,976,993,1010,1027],{"slug":886,"name":886,"fn":887,"description":888,"org":889,"tags":890,"stars":24,"repoUrl":25,"updatedAt":898},"tavily-best-practices","implement Tavily integration best practices","Build production-ready Tavily integrations with best practices baked in. Reference documentation for developers using coding assistants (Claude Code, Cursor, etc.) to implement web search, content extraction, crawling, and research in agentic workflows, RAG systems, or autonomous agents.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[891,894,897],{"name":892,"slug":893,"type":16},"API Development","api-development",{"name":895,"slug":896,"type":16},"Search","search",{"name":9,"slug":8,"type":16},"2026-04-06T18:54:03.550741",{"slug":151,"name":151,"fn":900,"description":901,"org":902,"tags":903,"stars":24,"repoUrl":25,"updatedAt":910},"conduct web research with Tavily CLI","Web search, content extraction, crawling, and deep research via the Tavily CLI. Use this skill whenever the user wants to search the web, find articles, research a topic, look something up online, extract content from a URL, grab text from a webpage, crawl documentation, download a site's pages, discover URLs on a domain, or conduct in-depth research with citations. Also use when they say \"fetch this page\", \"pull the content from\", \"get the page at https:\u002F\u002F\", \"find me articles about\", or reference extracting data from external websites. This provides LLM-optimized web search, content extraction, site crawling, URL discovery, and AI-powered deep research — capabilities beyond what agents can do natively. Do NOT trigger for local file operations, git commands, deployments, or code editing tasks.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[904,905,908,909],{"name":22,"slug":23,"type":16},{"name":906,"slug":907,"type":16},"Research","research",{"name":895,"slug":896,"type":16},{"name":9,"slug":8,"type":16},"2026-04-06T18:54:02.065814",{"slug":874,"name":874,"fn":912,"description":913,"org":914,"tags":915,"stars":24,"repoUrl":25,"updatedAt":922},"crawl websites and extract content","Crawl websites and extract content from multiple pages via the Tavily CLI. Use this skill when the user wants to crawl a site, download documentation, extract an entire docs section, bulk-extract pages, save a site as local markdown files, or says \"crawl\", \"get all the pages\", \"download the docs\", \"extract everything under \u002Fdocs\", \"bulk extract\", or needs content from many pages on the same domain. Supports depth\u002Fbreadth control, path filtering, semantic instructions, and saving each page as a local markdown file.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[916,919,920,921],{"name":917,"slug":918,"type":16},"Automation","automation",{"name":22,"slug":23,"type":16},{"name":9,"slug":8,"type":16},{"name":19,"slug":20,"type":16},"2026-04-06T18:54:09.921446",{"slug":924,"name":924,"fn":925,"description":926,"org":927,"tags":928,"stars":24,"repoUrl":25,"updatedAt":932},"tavily-dynamic-search","search the web via Tavily","Programmatic web search with context isolation. Use this skill for any research task where you need to search the web, filter results, and extract specific information — without polluting your context window with raw HTML and boilerplate. This is the default skill for web research. Triggered by \"search for\", \"look up\", \"find\", \"research\", \"what's the latest on\", or any query that requires current web information. Also use when asked to \"search and filter\", \"find the important parts\", or \"extract the key details\" — any case where the user wants curated, noise-free content.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[929,930,931],{"name":906,"slug":907,"type":16},{"name":895,"slug":896,"type":16},{"name":9,"slug":8,"type":16},"2026-04-14T04:50:31.944584",{"slug":4,"name":4,"fn":5,"description":6,"org":934,"tags":935,"stars":24,"repoUrl":25,"updatedAt":26},{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[936,937,938,939],{"name":22,"slug":23,"type":16},{"name":14,"slug":15,"type":16},{"name":9,"slug":8,"type":16},{"name":19,"slug":20,"type":16},{"slug":941,"name":941,"fn":942,"description":943,"org":944,"tags":945,"stars":24,"repoUrl":25,"updatedAt":950},"tavily-map","map website URLs with Tavily","Discover and list all URLs on a website without extracting content, via the Tavily CLI. Use this skill when the user wants to find a specific page on a large site, list all URLs, see the site structure, find where something is on a domain, or says \"map the site\", \"find the URL for\", \"what pages are on\", \"list all pages\", or \"site structure\". Faster than crawling — returns URLs only. Essential when you know the site but not the exact page. Combine with extract for targeted content retrieval.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[946,947,948,949],{"name":22,"slug":23,"type":16},{"name":895,"slug":896,"type":16},{"name":9,"slug":8,"type":16},{"name":19,"slug":20,"type":16},"2026-04-06T18:54:04.832149",{"slug":952,"name":952,"fn":953,"description":954,"org":955,"tags":956,"stars":24,"repoUrl":25,"updatedAt":963},"tavily-research","conduct AI-powered research with Tavily","Conduct comprehensive AI-powered research with citations via the Tavily CLI. Use this skill when the user wants deep research, a detailed report, a comparison, market analysis, literature review, or says \"research\", \"investigate\", \"analyze in depth\", \"compare X vs Y\", \"what does the market look like for\", or needs multi-source synthesis with explicit citations. Returns a structured report grounded in web sources. Takes 30-120 seconds. For quick fact-finding, use tavily-search instead.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[957,958,959,962],{"name":22,"slug":23,"type":16},{"name":906,"slug":907,"type":16},{"name":960,"slug":961,"type":16},"Summarization","summarization",{"name":9,"slug":8,"type":16},"2026-04-06T18:54:07.378619",{"slug":863,"name":863,"fn":965,"description":966,"org":967,"tags":968,"stars":24,"repoUrl":25,"updatedAt":975},"search the web with Tavily","Search the web with LLM-optimized results via the Tavily CLI. Use this skill when the user wants to search the web, find articles, look up information, get recent news, discover sources, or says \"search for\", \"find me\", \"look up\", \"what's the latest on\", \"find articles about\", or needs current information from the internet. Returns relevant results with content snippets, relevance scores, and metadata — optimized for LLM consumption. Supports domain filtering, time ranges, and multiple search depths.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[969,970,973,974],{"name":22,"slug":23,"type":16},{"name":971,"slug":972,"type":16},"LLM","llm",{"name":895,"slug":896,"type":16},{"name":9,"slug":8,"type":16},"2026-04-06T18:54:06.085596",{"slug":977,"name":977,"fn":978,"description":979,"org":980,"tags":981,"stars":990,"repoUrl":991,"updatedAt":992},"academic-scientific-research","synthesize academic and scientific literature","Find, screen, and synthesize academic papers, scientific literature, technical reports, preprints, clinical or biomedical publications, and evidence around a research question. Use when the user asks to find papers, summarize literature, compare methods, identify seminal or recent work, extract claims from studies, or build a source-grounded academic\u002Fscientific evidence brief.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[982,985,988,989],{"name":983,"slug":984,"type":16},"Bioinformatics","bioinformatics",{"name":986,"slug":987,"type":16},"Life Sciences","life-sciences",{"name":906,"slug":907,"type":16},{"name":960,"slug":961,"type":16},0,"https:\u002F\u002Fgithub.com\u002Ftavily-ai\u002Ftavily-grok-plugin","2026-07-21T06:07:31.35948",{"slug":994,"name":994,"fn":995,"description":996,"org":997,"tags":998,"stars":990,"repoUrl":991,"updatedAt":1009},"investment-research-briefs","create investment research briefs","Create concise investment research briefs, company memos, sector snapshots, portfolio monitoring updates, earnings\u002Fnews summaries, risk and catalyst briefs, and market thesis support. Use when the user asks for an investor-focused brief on a company, sector, public\u002Fprivate market, comparable set, or portfolio theme.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[999,1002,1005,1008],{"name":1000,"slug":1001,"type":16},"Finance","finance",{"name":1003,"slug":1004,"type":16},"Financial Modeling","financial-modeling",{"name":1006,"slug":1007,"type":16},"Investment Banking","investment-banking",{"name":906,"slug":907,"type":16},"2026-07-21T06:07:30.328538",{"slug":1011,"name":1011,"fn":1012,"description":1013,"org":1014,"tags":1015,"stars":990,"repoUrl":991,"updatedAt":1026},"product-competitor-intelligence","research competitor products and market data","Research competitor products, SKUs, pricing, packaging, positioning, feature comparisons, product catalogs, category pages, retailer listings, marketplace data, and market intelligence. Use when the user asks for competitor SKU discovery, product data enrichment, pricing\u002Fspec extraction, product comparison, market intelligence, or crawl\u002Fmap-driven product research.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1016,1019,1022,1025],{"name":1017,"slug":1018,"type":16},"Competitive Intelligence","competitive-intelligence",{"name":1020,"slug":1021,"type":16},"E-commerce","e-commerce",{"name":1023,"slug":1024,"type":16},"Marketing","marketing",{"name":906,"slug":907,"type":16},"2026-07-21T06:07:34.257311",{"slug":1028,"name":1028,"fn":1029,"description":1030,"org":1031,"tags":1032,"stars":990,"repoUrl":991,"updatedAt":1045},"sales-account-intelligence","build sales account intelligence","Build sales-ready account intelligence for companies, prospects, customers, partners, and target buyers. Use when the user asks for sales prep, account brief, meeting prep, buyer research, expansion signals, customer intelligence, trigger events, executive context, outreach angles, or market\u002Faccount context for GTM teams.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1033,1036,1039,1042],{"name":1034,"slug":1035,"type":16},"CRM","crm",{"name":1037,"slug":1038,"type":16},"Lead Enrichment","lead-enrichment",{"name":1040,"slug":1041,"type":16},"Prospecting","prospecting",{"name":1043,"slug":1044,"type":16},"Sales","sales","2026-07-21T06:07:33.56804",16,{"items":1048,"total":330},[1049,1055,1062,1069,1075,1082,1089],{"slug":886,"name":886,"fn":887,"description":888,"org":1050,"tags":1051,"stars":24,"repoUrl":25,"updatedAt":898},{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1052,1053,1054],{"name":892,"slug":893,"type":16},{"name":895,"slug":896,"type":16},{"name":9,"slug":8,"type":16},{"slug":151,"name":151,"fn":900,"description":901,"org":1056,"tags":1057,"stars":24,"repoUrl":25,"updatedAt":910},{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1058,1059,1060,1061],{"name":22,"slug":23,"type":16},{"name":906,"slug":907,"type":16},{"name":895,"slug":896,"type":16},{"name":9,"slug":8,"type":16},{"slug":874,"name":874,"fn":912,"description":913,"org":1063,"tags":1064,"stars":24,"repoUrl":25,"updatedAt":922},{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1065,1066,1067,1068],{"name":917,"slug":918,"type":16},{"name":22,"slug":23,"type":16},{"name":9,"slug":8,"type":16},{"name":19,"slug":20,"type":16},{"slug":924,"name":924,"fn":925,"description":926,"org":1070,"tags":1071,"stars":24,"repoUrl":25,"updatedAt":932},{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1072,1073,1074],{"name":906,"slug":907,"type":16},{"name":895,"slug":896,"type":16},{"name":9,"slug":8,"type":16},{"slug":4,"name":4,"fn":5,"description":6,"org":1076,"tags":1077,"stars":24,"repoUrl":25,"updatedAt":26},{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1078,1079,1080,1081],{"name":22,"slug":23,"type":16},{"name":14,"slug":15,"type":16},{"name":9,"slug":8,"type":16},{"name":19,"slug":20,"type":16},{"slug":941,"name":941,"fn":942,"description":943,"org":1083,"tags":1084,"stars":24,"repoUrl":25,"updatedAt":950},{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1085,1086,1087,1088],{"name":22,"slug":23,"type":16},{"name":895,"slug":896,"type":16},{"name":9,"slug":8,"type":16},{"name":19,"slug":20,"type":16},{"slug":952,"name":952,"fn":953,"description":954,"org":1090,"tags":1091,"stars":24,"repoUrl":25,"updatedAt":963},{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1092,1093,1094,1095],{"name":22,"slug":23,"type":16},{"name":906,"slug":907,"type":16},{"name":960,"slug":961,"type":16},{"name":9,"slug":8,"type":16}]