[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill-langchain-web-research":3,"mdc-skbxny-key":42,"related-org-langchain-web-research":522,"related-repo-langchain-web-research":688},{"slug":4,"name":4,"fn":5,"description":6,"org":7,"tags":12,"stars":26,"repoUrl":27,"updatedAt":28,"license":29,"forks":30,"topics":31,"repo":37,"sourceUrl":40,"mdContent":41},"web-research","conduct and synthesize web research","Searches multiple web sources, synthesizes findings, and produces cited research reports using delegated subagents. Use when the user asks to research a topic online, search the web, look something up, find current information, compare options, or produce a research report.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},"langchain","LangChain","https:\u002F\u002Fpexgzepcugksgbtrxkhf.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Forg-logos\u002Flangchain.png","langchain-ai",[13,17,20,23],{"name":14,"slug":15,"type":16},"Research","research","tag",{"name":18,"slug":19,"type":16},"Search","search",{"name":21,"slug":22,"type":16},"Agents","agents",{"name":24,"slug":25,"type":16},"Multi-Agent","multi-agent",26592,"https:\u002F\u002Fgithub.com\u002Flangchain-ai\u002Fdeepagents","2026-05-13T06:11:04.930044",null,3728,[32,33,8,34,35,36],"ai","deepagents","langgraph","python","typescript",{"repoUrl":27,"stars":26,"forks":30,"topics":38,"description":39},[32,33,8,34,35,36],"The batteries-included agent harness.","https:\u002F\u002Fgithub.com\u002Flangchain-ai\u002Fdeepagents\u002Ftree\u002FHEAD\u002Flibs\u002Fcode\u002Fexamples\u002Fskills\u002Fweb-research","---\nname: web-research\ndescription: Searches multiple web sources, synthesizes findings, and produces cited research reports using delegated subagents. Use when the user asks to research a topic online, search the web, look something up, find current information, compare options, or produce a research report.\n---\n\n# Web Research Skill\n\n## Research Process\n\n### Step 1: Create and Save Research Plan\n\nBefore delegating to subagents, you MUST:\n\n1. **Create a research folder** - Organize all research files in a dedicated folder relative to the current working directory:\n   ```\n   mkdir research_[topic_name]\n   ```\n   This keeps files organized and prevents clutter in the working directory.\n\n2. **Analyze the research question** - Break it down into distinct, non-overlapping subtopics\n\n3. **Write a research plan file** - Use the `write_file` tool to create `research_[topic_name]\u002Fresearch_plan.md` containing:\n   - The main research question\n   - 2-5 specific subtopics to investigate\n   - Expected information from each subtopic\n   - How results will be synthesized\n\n**Planning Guidelines:**\n- **Simple fact-finding**: 1-2 subtopics\n- **Comparative analysis**: 1 subtopic per comparison element (max 3)\n- **Complex investigations**: 3-5 subtopics\n\n### Step 2: Delegate to Research Subagents\n\nFor each subtopic in your plan:\n\n1. **Use the `task` tool** to spawn a research subagent with:\n   - Clear, specific research question (no acronyms)\n   - Instructions to write findings to a file: `research_[topic_name]\u002Ffindings_[subtopic].md`\n   - Budget: 3-5 web searches maximum\n\n2. **Run up to 3 subagents in parallel** for efficient research\n\n**Subagent Instructions Template:**\n```\nResearch [SPECIFIC TOPIC]. Use the web_search tool to gather information.\nAfter completing your research, use write_file to save your findings to research_[topic_name]\u002Ffindings_[subtopic].md.\nInclude key facts, relevant quotes, and source URLs.\nUse 3-5 web searches maximum.\n```\n\n### Step 3: Synthesize Findings\n\nAfter all subagents complete:\n\n1. **Review the findings files** that were saved locally:\n   - First run `list_files research_[topic_name]` to see what files were created\n   - Then use `read_file` with the **file paths** (e.g., `research_[topic_name]\u002Ffindings_*.md`)\n   - **Important**: Use `read_file` for LOCAL files only, not URLs\n\n2. **Synthesize the information** - Create a comprehensive response that:\n   - Directly answers the original question\n   - Integrates insights from all subtopics\n   - Cites specific sources with URLs (from the findings files)\n   - Identifies any gaps or limitations\n\n3. **Write final report** (optional) - Use `write_file` to create `research_[topic_name]\u002Fresearch_report.md` if requested\n\n**Note**: If you need to fetch additional information from URLs, use the `fetch_url` tool, not `read_file`.\n\n## Best Practices\n\n- **Plan before delegating** - Always write research_plan.md first\n- **Clear subtopics** - Ensure each subagent has distinct, non-overlapping scope\n- **File-based communication** - Have subagents save findings to files, not return them directly\n- **Systematic synthesis** - Read all findings files before creating final response\n- **Stop appropriately** - Don't over-research; 3-5 searches per subtopic is usually sufficient\n",{"data":43,"body":44},{"name":4,"description":6},{"type":45,"children":46},"root",[47,56,63,70,76,171,179,212,218,223,278,286,295,301,306,438,463,469],{"type":48,"tag":49,"props":50,"children":52},"element","h1",{"id":51},"web-research-skill",[53],{"type":54,"value":55},"text","Web Research Skill",{"type":48,"tag":57,"props":58,"children":60},"h2",{"id":59},"research-process",[61],{"type":54,"value":62},"Research Process",{"type":48,"tag":64,"props":65,"children":67},"h3",{"id":66},"step-1-create-and-save-research-plan",[68],{"type":54,"value":69},"Step 1: Create and Save Research Plan",{"type":48,"tag":71,"props":72,"children":73},"p",{},[74],{"type":54,"value":75},"Before delegating to subagents, you MUST:",{"type":48,"tag":77,"props":78,"children":79},"ol",{},[80,111,121],{"type":48,"tag":81,"props":82,"children":83},"li",{},[84,90,92,105,109],{"type":48,"tag":85,"props":86,"children":87},"strong",{},[88],{"type":54,"value":89},"Create a research folder",{"type":54,"value":91}," - Organize all research files in a dedicated folder relative to the current working directory:",{"type":48,"tag":93,"props":94,"children":98},"pre",{"className":95,"code":97,"language":54},[96],"language-text","mkdir research_[topic_name]\n",[99],{"type":48,"tag":100,"props":101,"children":103},"code",{"__ignoreMap":102},"",[104],{"type":54,"value":97},{"type":48,"tag":106,"props":107,"children":108},"br",{},[],{"type":54,"value":110},"This keeps files organized and prevents clutter in the working directory.",{"type":48,"tag":81,"props":112,"children":113},{},[114,119],{"type":48,"tag":85,"props":115,"children":116},{},[117],{"type":54,"value":118},"Analyze the research question",{"type":54,"value":120}," - Break it down into distinct, non-overlapping subtopics",{"type":48,"tag":81,"props":122,"children":123},{},[124,129,131,137,139,145,147],{"type":48,"tag":85,"props":125,"children":126},{},[127],{"type":54,"value":128},"Write a research plan file",{"type":54,"value":130}," - Use the ",{"type":48,"tag":100,"props":132,"children":134},{"className":133},[],[135],{"type":54,"value":136},"write_file",{"type":54,"value":138}," tool to create ",{"type":48,"tag":100,"props":140,"children":142},{"className":141},[],[143],{"type":54,"value":144},"research_[topic_name]\u002Fresearch_plan.md",{"type":54,"value":146}," containing:",{"type":48,"tag":148,"props":149,"children":150},"ul",{},[151,156,161,166],{"type":48,"tag":81,"props":152,"children":153},{},[154],{"type":54,"value":155},"The main research question",{"type":48,"tag":81,"props":157,"children":158},{},[159],{"type":54,"value":160},"2-5 specific subtopics to investigate",{"type":48,"tag":81,"props":162,"children":163},{},[164],{"type":54,"value":165},"Expected information from each subtopic",{"type":48,"tag":81,"props":167,"children":168},{},[169],{"type":54,"value":170},"How results will be synthesized",{"type":48,"tag":71,"props":172,"children":173},{},[174],{"type":48,"tag":85,"props":175,"children":176},{},[177],{"type":54,"value":178},"Planning Guidelines:",{"type":48,"tag":148,"props":180,"children":181},{},[182,192,202],{"type":48,"tag":81,"props":183,"children":184},{},[185,190],{"type":48,"tag":85,"props":186,"children":187},{},[188],{"type":54,"value":189},"Simple fact-finding",{"type":54,"value":191},": 1-2 subtopics",{"type":48,"tag":81,"props":193,"children":194},{},[195,200],{"type":48,"tag":85,"props":196,"children":197},{},[198],{"type":54,"value":199},"Comparative analysis",{"type":54,"value":201},": 1 subtopic per comparison element (max 3)",{"type":48,"tag":81,"props":203,"children":204},{},[205,210],{"type":48,"tag":85,"props":206,"children":207},{},[208],{"type":54,"value":209},"Complex investigations",{"type":54,"value":211},": 3-5 subtopics",{"type":48,"tag":64,"props":213,"children":215},{"id":214},"step-2-delegate-to-research-subagents",[216],{"type":54,"value":217},"Step 2: Delegate to Research Subagents",{"type":48,"tag":71,"props":219,"children":220},{},[221],{"type":54,"value":222},"For each subtopic in your plan:",{"type":48,"tag":77,"props":224,"children":225},{},[226,268],{"type":48,"tag":81,"props":227,"children":228},{},[229,242,244],{"type":48,"tag":85,"props":230,"children":231},{},[232,234,240],{"type":54,"value":233},"Use the ",{"type":48,"tag":100,"props":235,"children":237},{"className":236},[],[238],{"type":54,"value":239},"task",{"type":54,"value":241}," tool",{"type":54,"value":243}," to spawn a research subagent with:",{"type":48,"tag":148,"props":245,"children":246},{},[247,252,263],{"type":48,"tag":81,"props":248,"children":249},{},[250],{"type":54,"value":251},"Clear, specific research question (no acronyms)",{"type":48,"tag":81,"props":253,"children":254},{},[255,257],{"type":54,"value":256},"Instructions to write findings to a file: ",{"type":48,"tag":100,"props":258,"children":260},{"className":259},[],[261],{"type":54,"value":262},"research_[topic_name]\u002Ffindings_[subtopic].md",{"type":48,"tag":81,"props":264,"children":265},{},[266],{"type":54,"value":267},"Budget: 3-5 web searches maximum",{"type":48,"tag":81,"props":269,"children":270},{},[271,276],{"type":48,"tag":85,"props":272,"children":273},{},[274],{"type":54,"value":275},"Run up to 3 subagents in parallel",{"type":54,"value":277}," for efficient research",{"type":48,"tag":71,"props":279,"children":280},{},[281],{"type":48,"tag":85,"props":282,"children":283},{},[284],{"type":54,"value":285},"Subagent Instructions Template:",{"type":48,"tag":93,"props":287,"children":290},{"className":288,"code":289,"language":54},[96],"Research [SPECIFIC TOPIC]. Use the web_search tool to gather information.\nAfter completing your research, use write_file to save your findings to research_[topic_name]\u002Ffindings_[subtopic].md.\nInclude key facts, relevant quotes, and source URLs.\nUse 3-5 web searches maximum.\n",[291],{"type":48,"tag":100,"props":292,"children":293},{"__ignoreMap":102},[294],{"type":54,"value":289},{"type":48,"tag":64,"props":296,"children":298},{"id":297},"step-3-synthesize-findings",[299],{"type":54,"value":300},"Step 3: Synthesize Findings",{"type":48,"tag":71,"props":302,"children":303},{},[304],{"type":54,"value":305},"After all subagents complete:",{"type":48,"tag":77,"props":307,"children":308},{},[309,380,413],{"type":48,"tag":81,"props":310,"children":311},{},[312,317,319],{"type":48,"tag":85,"props":313,"children":314},{},[315],{"type":54,"value":316},"Review the findings files",{"type":54,"value":318}," that were saved locally:",{"type":48,"tag":148,"props":320,"children":321},{},[322,335,363],{"type":48,"tag":81,"props":323,"children":324},{},[325,327,333],{"type":54,"value":326},"First run ",{"type":48,"tag":100,"props":328,"children":330},{"className":329},[],[331],{"type":54,"value":332},"list_files research_[topic_name]",{"type":54,"value":334}," to see what files were created",{"type":48,"tag":81,"props":336,"children":337},{},[338,340,346,348,353,355,361],{"type":54,"value":339},"Then use ",{"type":48,"tag":100,"props":341,"children":343},{"className":342},[],[344],{"type":54,"value":345},"read_file",{"type":54,"value":347}," with the ",{"type":48,"tag":85,"props":349,"children":350},{},[351],{"type":54,"value":352},"file paths",{"type":54,"value":354}," (e.g., ",{"type":48,"tag":100,"props":356,"children":358},{"className":357},[],[359],{"type":54,"value":360},"research_[topic_name]\u002Ffindings_*.md",{"type":54,"value":362},")",{"type":48,"tag":81,"props":364,"children":365},{},[366,371,373,378],{"type":48,"tag":85,"props":367,"children":368},{},[369],{"type":54,"value":370},"Important",{"type":54,"value":372},": Use ",{"type":48,"tag":100,"props":374,"children":376},{"className":375},[],[377],{"type":54,"value":345},{"type":54,"value":379}," for LOCAL files only, not URLs",{"type":48,"tag":81,"props":381,"children":382},{},[383,388,390],{"type":48,"tag":85,"props":384,"children":385},{},[386],{"type":54,"value":387},"Synthesize the information",{"type":54,"value":389}," - Create a comprehensive response that:",{"type":48,"tag":148,"props":391,"children":392},{},[393,398,403,408],{"type":48,"tag":81,"props":394,"children":395},{},[396],{"type":54,"value":397},"Directly answers the original question",{"type":48,"tag":81,"props":399,"children":400},{},[401],{"type":54,"value":402},"Integrates insights from all subtopics",{"type":48,"tag":81,"props":404,"children":405},{},[406],{"type":54,"value":407},"Cites specific sources with URLs (from the findings files)",{"type":48,"tag":81,"props":409,"children":410},{},[411],{"type":54,"value":412},"Identifies any gaps or limitations",{"type":48,"tag":81,"props":414,"children":415},{},[416,421,423,428,430,436],{"type":48,"tag":85,"props":417,"children":418},{},[419],{"type":54,"value":420},"Write final report",{"type":54,"value":422}," (optional) - Use ",{"type":48,"tag":100,"props":424,"children":426},{"className":425},[],[427],{"type":54,"value":136},{"type":54,"value":429}," to create ",{"type":48,"tag":100,"props":431,"children":433},{"className":432},[],[434],{"type":54,"value":435},"research_[topic_name]\u002Fresearch_report.md",{"type":54,"value":437}," if requested",{"type":48,"tag":71,"props":439,"children":440},{},[441,446,448,454,456,461],{"type":48,"tag":85,"props":442,"children":443},{},[444],{"type":54,"value":445},"Note",{"type":54,"value":447},": If you need to fetch additional information from URLs, use the ",{"type":48,"tag":100,"props":449,"children":451},{"className":450},[],[452],{"type":54,"value":453},"fetch_url",{"type":54,"value":455}," tool, not ",{"type":48,"tag":100,"props":457,"children":459},{"className":458},[],[460],{"type":54,"value":345},{"type":54,"value":462},".",{"type":48,"tag":57,"props":464,"children":466},{"id":465},"best-practices",[467],{"type":54,"value":468},"Best Practices",{"type":48,"tag":148,"props":470,"children":471},{},[472,482,492,502,512],{"type":48,"tag":81,"props":473,"children":474},{},[475,480],{"type":48,"tag":85,"props":476,"children":477},{},[478],{"type":54,"value":479},"Plan before delegating",{"type":54,"value":481}," - Always write research_plan.md first",{"type":48,"tag":81,"props":483,"children":484},{},[485,490],{"type":48,"tag":85,"props":486,"children":487},{},[488],{"type":54,"value":489},"Clear subtopics",{"type":54,"value":491}," - Ensure each subagent has distinct, non-overlapping scope",{"type":48,"tag":81,"props":493,"children":494},{},[495,500],{"type":48,"tag":85,"props":496,"children":497},{},[498],{"type":54,"value":499},"File-based communication",{"type":54,"value":501}," - Have subagents save findings to files, not return them directly",{"type":48,"tag":81,"props":503,"children":504},{},[505,510],{"type":48,"tag":85,"props":506,"children":507},{},[508],{"type":54,"value":509},"Systematic synthesis",{"type":54,"value":511}," - Read all findings files before creating final response",{"type":48,"tag":81,"props":513,"children":514},{},[515,520],{"type":48,"tag":85,"props":516,"children":517},{},[518],{"type":54,"value":519},"Stop appropriately",{"type":54,"value":521}," - Don't over-research; 3-5 searches per subtopic is usually sufficient",{"items":523,"total":687},[524,541,550,567,580,595,609,624,638,648,655,674],{"slug":525,"name":525,"fn":526,"description":527,"org":528,"tags":529,"stars":26,"repoUrl":27,"updatedAt":540},"analyze-market","perform market analysis and size estimation","Perform a market analysis for a product category or segment. Trigger on: market analysis, market size, TAM SAM SOM, market opportunity, industry analysis.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[530,533,534,537],{"name":531,"slug":532,"type":16},"Marketing","marketing",{"name":14,"slug":15,"type":16},{"name":535,"slug":536,"type":16},"Sales","sales",{"name":538,"slug":539,"type":16},"Strategy","strategy","2026-04-18T04:46:54.557115",{"slug":542,"name":542,"fn":543,"description":544,"org":545,"tags":546,"stars":26,"repoUrl":27,"updatedAt":549},"arxiv-search","search arXiv for academic research papers","Searches arXiv for preprints and academic papers, retrieves abstracts, and filters by topic. Use when the user asks to find research papers, search arXiv, look up preprints, find academic articles in physics, math, CS, biology, statistics, or related fields.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[547,548],{"name":14,"slug":15,"type":16},{"name":18,"slug":19,"type":16},"2026-05-13T06:11:01.203061",{"slug":551,"name":551,"fn":552,"description":553,"org":554,"tags":555,"stars":26,"repoUrl":27,"updatedAt":566},"blog-post","write SEO-optimized blog posts","Write long-form blog posts with SEO optimization and clear structure.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[556,559,560,563],{"name":557,"slug":558,"type":16},"Content Creation","content-creation",{"name":531,"slug":532,"type":16},{"name":561,"slug":562,"type":16},"SEO","seo",{"name":564,"slug":565,"type":16},"Writing","writing","2026-04-15T05:00:54.149813",{"slug":568,"name":568,"fn":569,"description":570,"org":571,"tags":572,"stars":26,"repoUrl":27,"updatedAt":579},"competitor-analysis","analyze competitors and market positioning","Analyze competitors in a given market segment. Trigger on: competitive landscape, competitor analysis, market comparison, competitive positioning.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[573,576,577,578],{"name":574,"slug":575,"type":16},"Competitive Intelligence","competitive-intelligence",{"name":531,"slug":532,"type":16},{"name":14,"slug":15,"type":16},{"name":538,"slug":539,"type":16},"2026-04-18T04:46:55.79306",{"slug":581,"name":581,"fn":582,"description":583,"org":584,"tags":585,"stars":26,"repoUrl":27,"updatedAt":594},"deepagents-thread-inspector","inspect local Deep Agents conversation threads","Inspect and explain conversations in the local Deep Agents Code SQLite session store. Use as a fallback when LangSmith trace tooling is unavailable, for offline or untraced sessions, or when asked to identify or summarize a local dcode thread, inspect checkpoint metadata, list recent local threads, or parse ~\u002F.deepagents\u002F.state\u002Fsessions.db and a thread UUID or prefix.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[586,587,590,591],{"name":21,"slug":22,"type":16},{"name":588,"slug":589,"type":16},"Debugging","debugging",{"name":9,"slug":8,"type":16},{"name":592,"slug":593,"type":16},"SQLite","sqlite","2026-07-24T06:08:57.102689",{"slug":596,"name":596,"fn":597,"description":598,"org":599,"tags":600,"stars":26,"repoUrl":27,"updatedAt":608},"langgraph-docs","build stateful agents with LangGraph","Fetches and references LangGraph Python documentation to build stateful agents, create multi-agent workflows, and implement human-in-the-loop patterns. Use when the user asks about LangGraph, graph agents, state machines, agent orchestration, LangGraph API, or needs LangGraph implementation guidance.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[601,602,605,607],{"name":21,"slug":22,"type":16},{"name":603,"slug":604,"type":16},"Documentation","documentation",{"name":606,"slug":34,"type":16},"LangGraph",{"name":24,"slug":25,"type":16},"2026-05-13T06:11:03.650877",{"slug":610,"name":610,"fn":611,"description":612,"org":613,"tags":614,"stars":26,"repoUrl":27,"updatedAt":623},"remember","capture knowledge into persistent memory","Review the current conversation and capture valuable knowledge — best practices, coding conventions, architecture decisions, workflows, and user feedback — into persistent memory (AGENTS.md) or reusable skills. Use when the user says: (1) remember this, (2) save what we learned, (3) update memory, (4) capture learnings.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[615,616,617,620],{"name":21,"slug":22,"type":16},{"name":603,"slug":604,"type":16},{"name":618,"slug":619,"type":16},"Knowledge Management","knowledge-management",{"name":621,"slug":622,"type":16},"Memory","memory","2026-05-13T06:10:58.510037",{"slug":625,"name":625,"fn":626,"description":627,"org":628,"tags":629,"stars":26,"repoUrl":27,"updatedAt":637},"skill-creator","create agent skills and tool integrations","Guide for creating effective skills that extend agent capabilities with specialized knowledge, workflows, or tool integrations. Use this skill when the user asks to: (1) create a new skill, (2) make a skill, (3) build a skill, (4) set up a skill, (5) initialize a skill, (6) scaffold a skill, (7) update or modify an existing skill, (8) validate a skill, (9) learn about skill structure, (10) understand how skills work, or (11) get guidance on skill design patterns. Trigger on phrases like \"create a skill\", \"new skill\", \"make a skill\", \"skill for X\", \"how do I create a skill\", or \"help me build a skill\".",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[630,631,634],{"name":21,"slug":22,"type":16},{"name":632,"slug":633,"type":16},"Engineering","engineering",{"name":635,"slug":636,"type":16},"Plugin Development","plugin-development","2026-05-13T06:10:59.88449",{"slug":639,"name":639,"fn":640,"description":641,"org":642,"tags":643,"stars":26,"repoUrl":27,"updatedAt":647},"social-media","create optimized social media posts","Create social media posts optimized for engagement across platforms.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[644,645,646],{"name":557,"slug":558,"type":16},{"name":531,"slug":532,"type":16},{"name":564,"slug":565,"type":16},"2026-04-15T05:00:55.37452",{"slug":4,"name":4,"fn":5,"description":6,"org":649,"tags":650,"stars":26,"repoUrl":27,"updatedAt":28},{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[651,652,653,654],{"name":21,"slug":22,"type":16},{"name":24,"slug":25,"type":16},{"name":14,"slug":15,"type":16},{"name":18,"slug":19,"type":16},{"slug":656,"name":656,"fn":657,"description":658,"org":659,"tags":660,"stars":671,"repoUrl":672,"updatedAt":673},"mermaid-diagrams","embed Mermaid diagrams in documentation","Embed Mermaid diagrams in generated wiki pages. Use whenever documenting a runtime or request flow, a call sequence, a state machine or lifecycle, a data model or entity relationships, or non-trivial control flow, since these are clearer as a diagram than as prose. Also use when an update run touches a page that already contains a mermaid fence, or a page that contains a text fence a previous run degraded.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[661,664,665,668],{"name":662,"slug":663,"type":16},"Diagrams","diagrams",{"name":603,"slug":604,"type":16},{"name":666,"slug":667,"type":16},"Markdown","markdown",{"name":669,"slug":670,"type":16},"Technical Writing","technical-writing",12181,"https:\u002F\u002Fgithub.com\u002Flangchain-ai\u002Fopenwiki","2026-07-24T06:09:01.089597",{"slug":675,"name":675,"fn":676,"description":677,"org":678,"tags":679,"stars":671,"repoUrl":672,"updatedAt":686},"write-connector","implement OpenWiki source connectors","Add a new built-in OpenWiki source connector. Use when a user asks to create or implement an OpenWiki connector.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[680,683],{"name":681,"slug":682,"type":16},"API Development","api-development",{"name":684,"slug":685,"type":16},"Integrations","integrations","2026-07-18T05:48:23.961804",41,{"items":689,"total":737},[690,697,702,709,716,723,730],{"slug":525,"name":525,"fn":526,"description":527,"org":691,"tags":692,"stars":26,"repoUrl":27,"updatedAt":540},{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[693,694,695,696],{"name":531,"slug":532,"type":16},{"name":14,"slug":15,"type":16},{"name":535,"slug":536,"type":16},{"name":538,"slug":539,"type":16},{"slug":542,"name":542,"fn":543,"description":544,"org":698,"tags":699,"stars":26,"repoUrl":27,"updatedAt":549},{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[700,701],{"name":14,"slug":15,"type":16},{"name":18,"slug":19,"type":16},{"slug":551,"name":551,"fn":552,"description":553,"org":703,"tags":704,"stars":26,"repoUrl":27,"updatedAt":566},{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[705,706,707,708],{"name":557,"slug":558,"type":16},{"name":531,"slug":532,"type":16},{"name":561,"slug":562,"type":16},{"name":564,"slug":565,"type":16},{"slug":568,"name":568,"fn":569,"description":570,"org":710,"tags":711,"stars":26,"repoUrl":27,"updatedAt":579},{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[712,713,714,715],{"name":574,"slug":575,"type":16},{"name":531,"slug":532,"type":16},{"name":14,"slug":15,"type":16},{"name":538,"slug":539,"type":16},{"slug":581,"name":581,"fn":582,"description":583,"org":717,"tags":718,"stars":26,"repoUrl":27,"updatedAt":594},{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[719,720,721,722],{"name":21,"slug":22,"type":16},{"name":588,"slug":589,"type":16},{"name":9,"slug":8,"type":16},{"name":592,"slug":593,"type":16},{"slug":596,"name":596,"fn":597,"description":598,"org":724,"tags":725,"stars":26,"repoUrl":27,"updatedAt":608},{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[726,727,728,729],{"name":21,"slug":22,"type":16},{"name":603,"slug":604,"type":16},{"name":606,"slug":34,"type":16},{"name":24,"slug":25,"type":16},{"slug":610,"name":610,"fn":611,"description":612,"org":731,"tags":732,"stars":26,"repoUrl":27,"updatedAt":623},{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[733,734,735,736],{"name":21,"slug":22,"type":16},{"name":603,"slug":604,"type":16},{"name":618,"slug":619,"type":16},{"name":621,"slug":622,"type":16},10]