[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"extension-skill-langchain-ai-langgraph-fundamentals-fr":3,"guides-for-langchain-ai-langgraph-fundamentals":265,"similar-k179s7r2y6degdzhak6ch7arsx8667ew":266},{"_creationTime":4,"_id":5,"children":6,"community":7,"display":9,"evaluation":20,"identity":189,"isFallback":194,"parentExtension":195,"providers":242,"relations":246,"repo":247,"workflow":264},1778053782268.2007,"k179s7r2y6degdzhak6ch7arsx8667ew",[],{"reviewCount":8},0,{"description":10,"installMethods":11,"name":12,"sourceUrl":13,"tags":14},"INVOKE THIS SKILL when writing ANY LangGraph code. Covers StateGraph, state schemas, nodes, edges, Command, Send, invoke, streaming, and error handling.",{},"LangGraph Fundamentals","https://github.com/langchain-ai/langchain-skills/tree/HEAD/config/skills/langgraph-fundamentals",[15,16,17,18,19],"langgraph","python","typescript","documentation","examples",{"_creationTime":21,"_id":22,"extensionId":5,"locale":23,"result":24,"trustSignals":178,"workflow":187},1778053822111.3647,"kn7a3jdrye2m6vz6wh14ytpbbx867p95","en",{"checks":25,"evaluatedAt":168,"extensionSummary":169,"promptVersionExtension":170,"promptVersionScoring":171,"rationale":172,"score":173,"summary":174,"tags":175,"targetMarket":176,"tier":177},[26,31,34,37,41,44,49,53,56,59,64,68,71,75,78,81,84,87,90,93,97,101,105,110,114,117,120,123,127,130,133,136,139,142,146,149,152,155,158,161,165],{"category":27,"check":28,"severity":29,"summary":30},"Practical Utility","Problem relevance","pass","The description clearly names the problem: writing LangGraph code, and specifies the components covered.",{"category":27,"check":32,"severity":29,"summary":33},"Unique selling proposition","The skill provides specific guidance on LangGraph concepts like StateGraph, nodes, edges, and state management with reducers, offering value beyond basic LangGraph usage.",{"category":27,"check":35,"severity":29,"summary":36},"Production readiness","The skill covers core LangGraph concepts and provides code examples for Python and TypeScript, indicating readiness for use in developing LangGraph applications.",{"category":38,"check":39,"severity":29,"summary":40},"Scope","Single responsibility principle","The skill focuses exclusively on LangGraph fundamentals, including state management, nodes, edges, and command patterns, without extending into unrelated domains.",{"category":38,"check":42,"severity":29,"summary":43},"Description quality","The description is concise, accurate, and reflects the content of the SKILL.md file, clearly stating the skill's purpose and scope.",{"category":45,"check":46,"severity":47,"summary":48},"Invocation","Scoped tools","not_applicable","This skill does not expose any tools directly; its functionality is instructional and illustrative of LangGraph concepts.",{"category":50,"check":51,"severity":47,"summary":52},"Documentation","Configuration & parameter reference","The skill is purely instructional and does not have configurable parameters or options that require documentation.",{"category":38,"check":54,"severity":47,"summary":55},"Tool naming","This skill does not expose any tools, so tool naming is not applicable.",{"category":38,"check":57,"severity":47,"summary":58},"Minimal I/O surface","The skill does not expose any tools or commands with input/output schemas.",{"category":60,"check":61,"severity":62,"summary":63},"License","License usability","info","The license is not explicitly declared in a LICENSE file or manifest, but the repository's README indicates it is part of the LangChain Skills project, which is typically Apache 2.0, but without a clear signal in this specific skill's files, its usability is not guaranteed.",{"category":65,"check":66,"severity":47,"summary":67},"Maintenance","Commit recency","The provided Trust Signals indicate 'n/a' for the last commit date, and the repository is marked as 'HEAD', making it impossible to assess commit recency.",{"category":65,"check":69,"severity":47,"summary":70},"Dependency Management","The skill itself does not appear to introduce or manage third-party dependencies; it provides instructional content.",{"category":72,"check":73,"severity":47,"summary":74},"Security","Secret Management","This skill is instructional and does not handle or expose secrets.",{"category":72,"check":76,"severity":47,"summary":77},"Injection","The skill is purely instructional and does not load or process external data that could be subject to injection attacks.",{"category":72,"check":79,"severity":47,"summary":80},"Transitive Supply-Chain Grenades","The skill does not fetch remote content or execute external scripts, eliminating supply-chain risks.",{"category":72,"check":82,"severity":47,"summary":83},"Sandbox Isolation","As this skill is instructional and does not execute code, sandbox isolation is not applicable.",{"category":72,"check":85,"severity":47,"summary":86},"Sandbox escape primitives","The skill is instructional and does not involve code execution, so sandbox escape primitives are not a concern.",{"category":72,"check":88,"severity":47,"summary":89},"Data Exfiltration","The skill is purely instructional and does not make outbound network calls or handle sensitive data.",{"category":72,"check":91,"severity":29,"summary":92},"Hidden Text Tricks","The bundled content appears free of hidden text tricks or obfuscation.",{"category":94,"check":95,"severity":47,"summary":96},"Hooks","Opaque code execution","This skill is instructional and does not contain any executable code, therefore no opaque code execution is present.",{"category":98,"check":99,"severity":47,"summary":100},"Portability","Structural Assumption","The skill is instructional and does not make assumptions about the user's project structure.",{"category":102,"check":103,"severity":47,"summary":104},"Trust","Issues Attention","Issue data is not available for this skill.",{"category":106,"check":107,"severity":108,"summary":109},"Versioning","Release Management","warning","No explicit version information (e.g., `version` field in frontmatter, git tags, or CHANGELOG) is present for this skill. The provided 'Manifest Version' is 'n/a'.",{"category":111,"check":112,"severity":47,"summary":113},"Code Execution","Validation","This skill is purely instructional and does not execute code or process inputs that require validation.",{"category":72,"check":115,"severity":47,"summary":116},"Unguarded Destructive Operations","The skill is instructional and does not perform any destructive operations.",{"category":111,"check":118,"severity":47,"summary":119},"Error Handling","This skill is instructional and does not execute code that requires error handling.",{"category":111,"check":121,"severity":47,"summary":122},"Logging","The skill is instructional and does not perform actions that require logging.",{"category":124,"check":125,"severity":47,"summary":126},"Compliance","GDPR","The skill is instructional and does not handle personal data.",{"category":124,"check":128,"severity":29,"summary":129},"Target market","The skill is globally applicable as it teaches programming concepts for LangGraph without regional constraints. The target market is set to 'global'.",{"category":98,"check":131,"severity":47,"summary":132},"Runtime stability","As this skill is instructional and does not execute code, runtime stability concerns are not applicable.",{"category":45,"check":134,"severity":29,"summary":135},"Precise Purpose","The description clearly states the skill's purpose (writing LangGraph code) and what it covers (StateGraph, nodes, edges, etc.), providing precise triggers.",{"category":45,"check":137,"severity":29,"summary":138},"Concise Frontmatter","The frontmatter is concise and accurately summarizes the skill's core capability.",{"category":50,"check":140,"severity":29,"summary":141},"Concise Body","The SKILL.md body is reasonably concise and effectively uses progressive disclosure for more detailed examples and explanations.",{"category":143,"check":144,"severity":29,"summary":145},"Context","Progressive Disclosure","The skill effectively uses separate sections for different LangGraph concepts and provides code examples in Python and TypeScript, adhering to progressive disclosure.",{"category":143,"check":147,"severity":47,"summary":148},"Forked exploration","This skill is instructional and does not involve deep exploration or code review, so `context: fork` is not applicable.",{"category":27,"check":150,"severity":29,"summary":151},"Usage examples","The skill provides clear, end-to-end examples for basic graphs, conditional edges, commands, and sends in both Python and TypeScript, demonstrating their usage.",{"category":27,"check":153,"severity":29,"summary":154},"Edge cases","The skill addresses common LangGraph pitfalls such as forgetting reducers for lists, state must return dicts, and avoiding infinite loops, providing clear recovery steps.",{"category":111,"check":156,"severity":47,"summary":157},"Tool Fallback","This skill does not rely on external tools like an MCP server; it is purely instructional.",{"category":98,"check":159,"severity":29,"summary":160},"Stack assumptions","The skill clearly declares its stack assumptions (Python/TypeScript, LangGraph library) and provides examples for both, ensuring portability.",{"category":162,"check":163,"severity":47,"summary":164},"Safety","Halt on unexpected state","The skill is instructional and does not perform actions that would require halting on unexpected states.",{"category":98,"check":166,"severity":29,"summary":167},"Cross-skill coupling","The skill is self-contained and focuses on LangGraph fundamentals without relying on or implicitly coupling with other skills.",1778053815700,"This skill provides in-depth explanations and ready-to-use code examples for building stateful agent workflows using LangGraph in both Python and TypeScript. It covers essential concepts like StateGraph, nodes, conditional edges, Command API, Send API, and error handling strategies, alongside common pitfalls and their solutions.","2.0.0","3.4.0","This skill is highly valuable for users learning LangGraph. It is well-structured, provides clear explanations and examples for core concepts, and addresses common pitfalls. The primary warning relates to versioning, which is a minor issue for instructional content.",95,"A comprehensive guide to LangGraph fundamentals, covering state management, nodes, edges, and advanced patterns with practical examples.",[15,16,17,18,19],"global","verified",{"codeQuality":179,"collectedAt":180,"documentation":181,"maintenance":183,"security":184,"testCoverage":186},{},1778053806106,{"descriptionLength":182,"readmeSize":8},152,{},{"hasNpmPackage":185,"smitheryVerified":185},false,{"hasCi":185,"hasTests":185},{"updatedAt":188},1778053822111,{"githubOwner":190,"githubRepo":191,"locale":23,"slug":192,"type":193},"langchain-ai","langchain-skills","langgraph-fundamentals","skill",true,{"_creationTime":196,"_id":197,"community":198,"display":199,"identity":211,"parentExtension":213,"providers":236,"relations":240,"workflow":241},1778053782268.1963,"k1710b29xhgdykchws1tmnjrnx866nxv",{"reviewCount":8},{"description":200,"installMethods":201,"name":202,"sourceUrl":203,"tags":204},"Agent skills for building agents with LangChain, LangGraph, and Deep Agents",{},"LangChain Skills","https://github.com/langchain-ai/langchain-skills",[205,15,206,207,208,209,210],"langchain","deep-agents","ai-agents","rag","skills","plugins",{"githubOwner":190,"githubRepo":191,"locale":23,"slug":191,"type":212},"plugin",{"_creationTime":214,"_id":215,"community":216,"display":217,"identity":220,"providers":222,"relations":231,"workflow":233},1778053782268.1958,"k1787v8f6tx7dxy8c4xfz7hk2h867f5j",{"reviewCount":8},{"description":200,"installMethods":218,"name":202,"sourceUrl":203,"tags":219},{},[205,15,206,207,208],{"githubOwner":190,"githubRepo":191,"locale":23,"slug":191,"type":221},"marketplace",{"extract":223,"llm":228},{"commitSha":224,"license":225,"marketplace":226},"648df5daa32ef7a742a07740d9c5d13e3b8229c4","MIT",{"name":191,"pluginCount":227},1,{"promptVersionExtension":170,"promptVersionScoring":171,"score":229,"targetMarket":176,"tier":230},70,"evaluated",{"repoId":232},"kd74nzm561ws7px2qx08z27fad864yft",{"anyEnrichmentAt":234,"extractAt":235,"githubAt":234,"llmAt":188,"updatedAt":188},1778053782949,1778053782268,{"extract":237,"llm":238},{"commitSha":224,"license":225},{"promptVersionExtension":170,"promptVersionScoring":171,"score":239,"targetMarket":176,"tier":230},75,{"parentExtensionId":215,"repoId":232},{"anyEnrichmentAt":234,"extractAt":235,"githubAt":234,"llmAt":188,"updatedAt":188},{"extract":243,"llm":245},{"commitSha":224,"license":244},"Apache-2.0",{"promptVersionExtension":170,"promptVersionScoring":171,"score":173,"targetMarket":176,"tier":177},{"parentExtensionId":197,"repoId":232},{"_creationTime":248,"_id":232,"identity":249,"providers":250,"workflow":261},1777995558409.8423,{"githubOwner":190,"githubRepo":191,"sourceUrl":203},{"discover":251,"github":254},{"sources":252},[253],"skills-sh",{"closedIssues90d":255,"forks":256,"openIssues90d":8,"pushedAt":257,"readmeSize":258,"stars":259,"topics":260},2,58,1777486877000,3660,651,[],{"discoverAt":262,"extractAt":263,"githubAt":263,"updatedAt":263},1777995558409,1778053783581,{"anyEnrichmentAt":234,"extractAt":235,"githubAt":234,"llmAt":188,"updatedAt":188},[],[267,296,329,356,385,413],{"_creationTime":268,"_id":269,"community":270,"display":271,"identity":282,"providers":285,"relations":290,"workflow":292},1778054812528.7205,"k179w7m3n2zkvrbhmmwn1stces86799q",{"reviewCount":8},{"description":272,"installMethods":273,"name":274,"sourceUrl":275,"tags":276},"3D web graphics with Three.js (WebGL/WebGPU). Capabilities: scenes, cameras, geometries, materials, lights, animations, model loading (GLTF/FBX), PBR materials, shadows, post-processing (bloom, SSAO, SSR), custom shaders, instancing, LOD, physics, VR/XR. Actions: create, build, animate, render 3D scenes/models. Keywords: Three.js, WebGL, WebGPU, 3D graphics, scene, camera, geometry, material, light, animation, GLTF, FBX, OrbitControls, PBR, shadow mapping, post-processing, bloom, SSAO, shader, instancing, LOD, WebXR, VR, AR, product configurator, data visualization, architectural walkthrough, interactive 3D, canvas. Use when: creating 3D visualizations, building WebGL/WebGPU apps, loading 3D models, adding animations, implementing VR/XR, creating interactive graphics, building product configurators.",{},"3D Graphics with Three.js","https://github.com/samhvw8/dot-claude/tree/HEAD/skills/3d-graphics",[277,278,279,280,18,281,19],"three-js","webgl","webgpu","3d-graphics","learning",{"githubOwner":283,"githubRepo":284,"locale":23,"slug":280,"type":193},"samhvw8","dot-claude",{"extract":286,"llm":288},{"commitSha":287,"license":225},"28c76162116d2eedab131c0e1548fdc76a2999f7",{"promptVersionExtension":170,"promptVersionScoring":171,"score":289,"targetMarket":176,"tier":177},98,{"repoId":291},"kd79ad9dpqazy79y2s6rvajgjn865xek",{"anyEnrichmentAt":293,"extractAt":294,"githubAt":293,"llmAt":295,"updatedAt":295},1778054813688,1778054812528,1778054896678,{"_creationTime":297,"_id":298,"community":299,"display":300,"identity":311,"providers":315,"relations":322,"workflow":324},1777995614337.9844,"k17f0xfg2pkfqd1p5jjzh8sswh8645px",{"reviewCount":8},{"description":301,"installMethods":302,"name":303,"sourceUrl":304,"tags":305},"Scaffold an editable Tandem control panel app",{},"Tandem Panel Scaffold","https://github.com/frumu-ai/tandem/tree/HEAD/packages/create-tandem-panel",[306,307,308,17,309,310],"scaffolding","cli","react","vite","ui",{"githubOwner":312,"githubRepo":313,"locale":23,"slug":314,"type":193},"frumu-ai","tandem","create-tandem-panel",{"extract":316,"llm":319,"smithery":321},{"commitSha":317,"license":318},"25c8ae7c2f8b20d576a2b8d44946ac2e0ff9408d","MIT OR Apache-2.0",{"promptVersionExtension":170,"promptVersionScoring":171,"score":320,"targetMarket":176,"tier":177},100,{"qualityScore":8,"totalActivations":8,"uniqueUsers":8,"useCount":8,"verified":185},{"repoId":323},"kd72pd305er4m7vecv9p6mnd4s865kea",{"anyEnrichmentAt":325,"extractAt":326,"githubAt":327,"llmAt":328,"smitheryAt":325,"updatedAt":328},1777995723550,1777995614338,1777995614791,1777995897177,{"_creationTime":330,"_id":331,"community":332,"display":333,"identity":342,"providers":345,"relations":350,"workflow":352},1778054425877.1958,"k171ck7gyw157xcvkrk6k0r9y1866w01",{"reviewCount":8},{"description":334,"name":335,"sourceUrl":336,"tags":337},"ESLint rules for React Hooks","ESLint Plugin React Hooks","https://github.com/facebook/react/tree/HEAD/packages/eslint-plugin-react-hooks",[308,338,339,340,341,17],"eslint","linting","hooks","javascript",{"githubOwner":343,"githubRepo":308,"locale":23,"slug":344,"type":193},"facebook","eslint-plugin-react-hooks",{"extract":346,"llm":348},{"commitSha":347,"license":225},"9635257c1b557acc81f95b1e974a54c752e703a2",{"promptVersionExtension":170,"promptVersionScoring":171,"score":349,"targetMarket":176,"tier":177},99,{"repoId":351},"kd73v9dy7vwq94hgzc7eh43b9s865rhq",{"anyEnrichmentAt":353,"extractAt":354,"githubAt":353,"llmAt":355,"updatedAt":355},1778054428301,1778054425877,1778054588390,{"_creationTime":357,"_id":358,"community":359,"display":360,"identity":373,"providers":375,"relations":379,"workflow":381},1778053689272.9238,"k17a5hw81fhwybk1wxavs6mvjs8676ca",{"reviewCount":8},{"description":361,"installMethods":362,"name":363,"sourceUrl":364,"tags":365},"Set up a new Prisma Postgres database and connect it to a local project using the Management API. Use when asked to \"set up a database\", \"create a Prisma Postgres project\", \"get a connection string\", \"connect my app to Prisma Postgres\", or \"provision a database\".",{},"Prisma Postgres Setup","https://github.com/prisma/skills/tree/HEAD/prisma-postgres-setup",[366,367,368,369,370,371,17,372],"prisma","postgres","database","setup","connection","api","node-js",{"githubOwner":366,"githubRepo":209,"locale":23,"slug":374,"type":193},"prisma-postgres-setup",{"extract":376,"llm":378},{"commitSha":377,"license":225},"741a74fdafc1bf61fa208c2f73878be688cba263",{"promptVersionExtension":170,"promptVersionScoring":171,"score":349,"targetMarket":176,"tier":177},{"repoId":380},"kd76h7swxyhk8405svecsqq7gh864y5s",{"anyEnrichmentAt":382,"extractAt":383,"githubAt":382,"llmAt":384,"updatedAt":384},1778053689723,1778053689272,1778053716548,{"_creationTime":386,"_id":387,"community":388,"display":389,"identity":399,"providers":403,"relations":407,"workflow":409},1778053622473.6594,"k171jc4epkmqq2y76n42e3eg0s866rf8",{"reviewCount":8},{"description":390,"installMethods":391,"name":392,"sourceUrl":393,"tags":394},"Systematically identify what's missing in non-fiction writing—both blind spots (inherent limitations) and blank spots (gaps that could be addressed). Use before finalizing non-fiction or when feedback feels incomplete.",{},"Blind Spot Detective","https://github.com/jwynia/agent-skills/tree/HEAD/skills/general/writing/analysis/blind-spot-detective",[395,396,397,398,18],"writing","analysis","non-fiction","diagnostic",{"githubOwner":400,"githubRepo":401,"locale":23,"slug":402,"type":193},"jwynia","agent-skills","blind-spot-detective",{"extract":404,"llm":406},{"commitSha":405,"license":225},"e02ec7e226a6e4f8419fd3b88a1d8e472d421b32",{"promptVersionExtension":170,"promptVersionScoring":171,"score":349,"targetMarket":176,"tier":177},{"repoId":408},"kd7efn3mprpa8rd8vm5hw5ebzx864fph",{"anyEnrichmentAt":410,"extractAt":411,"githubAt":410,"llmAt":412,"updatedAt":412},1778053625386,1778053622473,1778054012696,{"_creationTime":414,"_id":415,"community":416,"display":417,"identity":427,"providers":430,"relations":438,"workflow":440},1778053968286.4954,"k179afn14fzy4sejmjf82fgqa9867ck6",{"reviewCount":8},{"description":418,"installMethods":419,"name":420,"sourceUrl":421,"tags":422},"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.",{},"arXiv Search","https://github.com/langchain-ai/deepagents/tree/HEAD/libs/cli/examples/skills/arxiv-search",[423,424,425,426,16,307],"research","data-analytics","arxiv","academic-papers",{"githubOwner":190,"githubRepo":428,"locale":23,"slug":429,"type":193},"deepagents","arxiv-search",{"extract":431,"llm":433,"smithery":434},{"commitSha":432,"license":225},"b108c71d0c570e16c7050c1eac482e15dc35a5ed",{"promptVersionExtension":170,"promptVersionScoring":171,"score":289,"targetMarket":176,"tier":177},{"qualityScore":435,"totalActivations":436,"uniqueUsers":437,"useCount":8,"verified":185},0.7439563,9,8,{"repoId":439},"kd76dna2fvfbnjvzcpd2cwqnyd865xz7",{"anyEnrichmentAt":441,"extractAt":442,"githubAt":443,"llmAt":444,"smitheryAt":441,"updatedAt":444},1778053994907,1778053968286,1778053969344,1778054053159]