[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"extension-skill-claude-office-skills-ai-agent-builder-ko":3,"guides-for-claude-office-skills-ai-agent-builder":224,"similar-k17e3weyfam1zjbsk2tb59tzmd866wsp":225},{"_creationTime":4,"_id":5,"children":6,"community":7,"display":9,"evaluation":23,"identity":190,"isFallback":195,"parentExtension":196,"providers":197,"relations":201,"repo":203,"workflow":221},1778053148350.4197,"k17e3weyfam1zjbsk2tb59tzmd866wsp",[],{"reviewCount":8},0,{"description":10,"installMethods":11,"name":12,"sourceUrl":13,"tags":14},"Build AI agents with tools, memory, and multi-step reasoning - ChatGPT, Claude, Gemini integration patterns",{},"AI Agent Builder","https://github.com/claude-office-skills/skills/tree/HEAD/ai-agent-builder",[15,16,17,18,19,20,21,22],"ai-agent","agent-design","llm","tool-use","memory","reasoning","documentation","patterns",{"_creationTime":24,"_id":25,"extensionId":5,"locale":26,"result":27,"trustSignals":178,"workflow":188},1778053561145.5583,"kn74jq775ky5dhdk5pmrcwf1j9866r16","en",{"checks":28,"evaluatedAt":168,"extensionSummary":169,"promptVersionExtension":170,"promptVersionScoring":171,"rationale":172,"score":173,"summary":174,"tags":175,"targetMarket":176,"tier":177},[29,34,37,40,44,47,51,56,59,62,66,71,75,79,82,85,88,91,94,97,101,105,109,113,117,120,123,126,130,133,136,139,142,145,149,152,155,158,161,165],{"category":30,"check":31,"severity":32,"summary":33},"Practical Utility","Problem relevance","pass","The description clearly names a concrete user problem: building AI agents with specific capabilities like tools, memory, and multi-step reasoning, and mentions integration patterns with major LLMs.",{"category":30,"check":35,"severity":32,"summary":36},"Unique selling proposition","The skill provides concrete patterns and architectural diagrams for building AI agents, including detailed breakdowns of agent types, tool definitions, memory patterns, and reasoning workflows, which goes beyond simple LLM usage.",{"category":30,"check":38,"severity":32,"summary":39},"Production readiness","The skill provides comprehensive documentation covering agent architecture, tool integration, memory patterns, multi-step reasoning, and platform integrations, indicating a well-defined and usable capability for production workflows.",{"category":41,"check":42,"severity":32,"summary":43},"Scope","Single responsibility principle","The skill focuses on the design and building of AI agents, covering architecture, tools, memory, and reasoning, which is a coherent and single domain.",{"category":41,"check":45,"severity":32,"summary":46},"Description quality","The description is concise, readable, and accurately reflects the skill's capabilities related to building AI agents with various components and integration patterns.",{"category":48,"check":49,"severity":32,"summary":50},"Invocation","Scoped tools","The 'Tool Definition' and 'Common Tool Categories' sections illustrate narrow verb-noun specialist tools like 'get_weather', 'web_search', 'database_query', etc., rather than a single generalist tool.",{"category":52,"check":53,"severity":54,"summary":55},"Documentation","Configuration & parameter reference","info","While tool parameters and memory types are documented, specific configuration options for the agent architecture and platform integrations lack explicit default values or precedence order.",{"category":41,"check":57,"severity":32,"summary":58},"Tool naming","Tool names like 'get_weather', 'web_search', 'database_query', 'send_email', and 'calendar_check' are descriptive and follow a clear verb-noun pattern.",{"category":41,"check":60,"severity":32,"summary":61},"Minimal I/O surface","The tool definitions (e.g., 'get_weather') show specific parameters like 'location' and 'units', and the agent type descriptions are concise, suggesting minimal I/O surface.",{"category":63,"check":64,"severity":32,"summary":65},"License","License usability","The extension clearly states the MIT license in the SKILL.md frontmatter and provides a full MIT license text in the LICENSE file, which is permissive and usable.",{"category":67,"check":68,"severity":69,"summary":70},"Maintenance","Commit recency","warning","No commits have been made to the default branch in the last 12 months (pushedAt: n/a), indicating potential unmaintained status.",{"category":67,"check":72,"severity":73,"summary":74},"Dependency Management","not_applicable","The skill does not appear to use any third-party dependencies that require explicit management or updating beyond what might be inherent in the Claude runtime.",{"category":76,"check":77,"severity":73,"summary":78},"Security","Secret Management","The skill describes patterns and configurations for building agents but does not appear to handle or expose any secrets directly within its own code or documentation.",{"category":76,"check":80,"severity":32,"summary":81},"Injection","The skill focuses on architectural patterns and configurations; there is no indication of loading or executing untrusted third-party data that could lead to injection vulnerabilities.",{"category":76,"check":83,"severity":32,"summary":84},"Transitive Supply-Chain Grenades","The skill's content is self-contained within the SKILL.md file and does not involve runtime downloads or execution of external code, thus mitigating supply-chain risks.",{"category":76,"check":86,"severity":32,"summary":87},"Sandbox Isolation","The skill describes architectural patterns and does not interact with the file system or external resources in a way that would violate sandbox isolation.",{"category":76,"check":89,"severity":32,"summary":90},"Sandbox escape primitives","The skill's content is purely descriptive and does not contain any scripts or instructions that could be used for sandbox escape.",{"category":76,"check":92,"severity":32,"summary":93},"Data Exfiltration","The skill describes agent building patterns and does not contain any imperative instructions for reading or submitting confidential data to third parties.",{"category":76,"check":95,"severity":32,"summary":96},"Hidden Text Tricks","The bundled files (SKILL.md, LICENSE, README.md, .gitignore) are free of hidden-steering characters or tricks.",{"category":98,"check":99,"severity":32,"summary":100},"Hooks","Opaque code execution","The skill content is composed of standard Markdown and YAML, with no obfuscated code, base64 payloads, or runtime script fetching.",{"category":102,"check":103,"severity":32,"summary":104},"Portability","Structural Assumption","The skill describes abstract concepts and patterns for AI agent building, making no assumptions about the user's specific project organization or file layout.",{"category":106,"check":107,"severity":73,"summary":108},"Trust","Issues Attention","No issue data is available for the repository.",{"category":110,"check":111,"severity":32,"summary":112},"Versioning","Release Management","A meaningful version ('1.0.0') is declared in the SKILL.md frontmatter.",{"category":114,"check":115,"severity":73,"summary":116},"Code Execution","Validation","The skill is descriptive and does not contain executable code that requires input validation or sanitization via schema libraries.",{"category":76,"check":118,"severity":73,"summary":119},"Unguarded Destructive Operations","The skill describes agent building patterns and does not contain any destructive operations.",{"category":114,"check":121,"severity":73,"summary":122},"Error Handling","The skill is descriptive and does not contain executable code that requires error handling.",{"category":114,"check":124,"severity":73,"summary":125},"Logging","The skill is descriptive and does not perform actions that would require local audit logging.",{"category":127,"check":128,"severity":73,"summary":129},"Compliance","GDPR","The skill describes agent building patterns and does not operate on data that could include personal data.",{"category":127,"check":131,"severity":32,"summary":132},"Target market","The skill's content is general to AI agent development and does not contain regional-specific logic, formats, or regulations. Target market is global.",{"category":102,"check":134,"severity":32,"summary":135},"Runtime stability","The skill provides architectural patterns and best practices for AI agent development, making no assumptions about specific editors, shells, or Claude Code runtimes.",{"category":48,"check":137,"severity":32,"summary":138},"Precise Purpose","The skill's description and frontmatter clearly state its purpose (building AI agents) and when to use it (ChatGPT, Claude, Gemini integration patterns), naming specific components like tools, memory, and reasoning.",{"category":48,"check":140,"severity":32,"summary":141},"Concise Frontmatter","The SKILL.md frontmatter is concise, containing essential metadata and a clear summary of the skill's core capability without keyword stuffing.",{"category":52,"check":143,"severity":32,"summary":144},"Concise Body","The SKILL.md body is well-structured with clear sections and diagrams, staying within a reasonable length and delegating detailed information to structured examples and architectural diagrams.",{"category":146,"check":147,"severity":32,"summary":148},"Context","Progressive Disclosure","Detailed architectural components, agent types, memory patterns, and reasoning flows are presented within the SKILL.md in digestible sections and code blocks, avoiding the need for separate files for this level of detail.",{"category":146,"check":150,"severity":73,"summary":151},"Forked exploration","The skill is descriptive and does not involve deep exploration or code review that would necessitate 'context: fork'.",{"category":30,"check":153,"severity":32,"summary":154},"Usage examples","The skill provides a detailed 'Output Example' showing a request and the expected markdown output for designing an appointment scheduling agent, covering architecture, tools, and conversation flow.",{"category":30,"check":156,"severity":54,"summary":157},"Edge cases","While the skill covers various agent types and components, explicit documentation of failure modes and recovery paths for agent design is not present.",{"category":114,"check":159,"severity":73,"summary":160},"Tool Fallback","The skill describes conceptual tools and patterns, not specific external tools that would require fallback mechanisms or version declarations.",{"category":162,"check":163,"severity":73,"summary":164},"Safety","Halt on unexpected state","The skill is descriptive and does not execute workflows that would require preconditions or state checking.",{"category":102,"check":166,"severity":32,"summary":167},"Cross-skill coupling","The skill focuses on the design of AI agents and does not implicitly rely on or interact with other specific skills; its scope is self-contained.",1778053171270,"This skill provides in-depth explanations and examples of AI agent architecture, including core components, agent types, tool definitions, common tool categories, and platform integration patterns for Slack, Telegram, and web interfaces. It details various memory patterns and multi-step reasoning workflows like ReAct and planning agents, offering concrete examples of agent output for specific use cases.","2.0.0","3.4.0","The skill is well-documented, focused on a clear purpose, and provides valuable architectural patterns for building AI agents. The only significant finding is the lack of recent commits, which is mitigated by the nature of the content (documentation and patterns) and the MIT license. The 'Edge cases' check is info because while detailed examples are given, explicit failure mode documentation is absent.",95,"A comprehensive guide to designing and building AI agents with detailed architectural patterns, tool integration, memory management, and reasoning workflows.",[15,16,17,18,19,20,21,22],"global","verified",{"codeQuality":179,"collectedAt":180,"documentation":181,"maintenance":183,"security":184,"testCoverage":187},{},1778053160219,{"descriptionLength":182,"readmeSize":8},107,{},{"hasNpmPackage":185,"license":186,"smitheryVerified":185},false,"MIT",{"hasCi":185,"hasTests":185},{"updatedAt":189},1778053561145,{"githubOwner":191,"githubRepo":192,"locale":26,"slug":193,"type":194},"claude-office-skills","skills","ai-agent-builder","skill",true,null,{"extract":198,"llm":200},{"commitSha":199,"license":186},"9c4c7d5cd2813a8936bf2c9fdb174ea883b85a11",{"promptVersionExtension":170,"promptVersionScoring":171,"score":173,"targetMarket":176,"tier":177},{"repoId":202},"kd7fw7xbj58qc2z8whrrjptbed8659db",{"_creationTime":204,"_id":202,"identity":205,"providers":207,"workflow":218},1777995558409.8474,{"githubOwner":191,"githubRepo":192,"sourceUrl":206},"https://github.com/claude-office-skills/skills",{"discover":208,"github":211},{"sources":209},[210],"skills-sh",{"closedIssues90d":8,"forks":212,"license":186,"openIssues90d":213,"pushedAt":214,"readmeSize":215,"stars":216,"topics":217},27,2,1769868236000,29630,98,[],{"discoverAt":219,"extractAt":220,"githubAt":220,"updatedAt":220},1777995558409,1778053155657,{"anyEnrichmentAt":222,"extractAt":223,"githubAt":222,"llmAt":189,"updatedAt":189},1778053151766,1778053148350,[],[226,255,284,311,338,360],{"_creationTime":227,"_id":228,"community":229,"display":230,"identity":239,"providers":243,"relations":249,"workflow":251},1778054663200.0662,"k174gtke67gjm983xyev9h5efd866jqq",{"reviewCount":8},{"description":231,"installMethods":232,"name":233,"sourceUrl":234,"tags":235},"Extension from onewave-ai/claude-skills",{},"Debate Simulator","https://github.com/onewave-ai/claude-skills/tree/HEAD/debate-simulator",[236,237,238,17,15],"debate","persona","simulation",{"githubOwner":240,"githubRepo":241,"locale":26,"slug":242,"type":194},"onewave-ai","claude-skills","debate-simulator",{"extract":244,"llm":246},{"commitSha":245,"license":186},"eb3d80be32b6cafcf0d5df1c1b8a95df75838271",{"promptVersionExtension":170,"promptVersionScoring":171,"score":247,"targetMarket":176,"tier":248},65,"flagged",{"repoId":250},"kd71e43dj0b7ak5e55pyshxp4n864t6p",{"anyEnrichmentAt":252,"extractAt":253,"githubAt":252,"llmAt":254,"updatedAt":254},1778054667983,1778054663200,1778055270278,{"_creationTime":256,"_id":257,"community":258,"display":259,"identity":269,"providers":273,"relations":278,"workflow":280},1778053622473.6594,"k171jc4epkmqq2y76n42e3eg0s866rf8",{"reviewCount":8},{"description":260,"installMethods":261,"name":262,"sourceUrl":263,"tags":264},"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",[265,266,267,268,21],"writing","analysis","non-fiction","diagnostic",{"githubOwner":270,"githubRepo":271,"locale":26,"slug":272,"type":194},"jwynia","agent-skills","blind-spot-detective",{"extract":274,"llm":276},{"commitSha":275,"license":186},"e02ec7e226a6e4f8419fd3b88a1d8e472d421b32",{"promptVersionExtension":170,"promptVersionScoring":171,"score":277,"targetMarket":176,"tier":177},99,{"repoId":279},"kd7efn3mprpa8rd8vm5hw5ebzx864fph",{"anyEnrichmentAt":281,"extractAt":282,"githubAt":281,"llmAt":283,"updatedAt":283},1778053625386,1778053622473,1778054012696,{"_creationTime":285,"_id":286,"community":287,"display":288,"identity":297,"providers":301,"relations":305,"workflow":307},1778053730743.9404,"k173rfwq4dc7fwm8h0rev5cza1866g27",{"reviewCount":8},{"description":289,"installMethods":290,"name":291,"sourceUrl":292,"tags":293},"Help users define AI product strategy. Use when someone is building an AI product, deciding where to apply AI in their product, planning an AI roadmap, evaluating build vs buy for AI capabilities, or figuring out how to integrate AI into existing products.",{},"AI Product Strategy","https://github.com/refoundai/lenny-skills/tree/HEAD/skills/ai-product-strategy",[294,295,296,17],"ai","product-strategy","planning",{"githubOwner":298,"githubRepo":299,"locale":26,"slug":300,"type":194},"refoundai","lenny-skills","ai-product-strategy",{"extract":302,"llm":304},{"commitSha":303,"license":186},"280a57aa42fed3b6f35f51f0d9e71013b4c8ae74",{"promptVersionExtension":170,"promptVersionScoring":171,"score":216,"targetMarket":176,"tier":177},{"repoId":306},"kd71b12s61d3nrk4f6dxqd3z35865mkg",{"anyEnrichmentAt":308,"extractAt":309,"githubAt":308,"llmAt":310,"updatedAt":310},1778053732694,1778053730744,1778053975687,{"_creationTime":312,"_id":313,"community":314,"display":315,"identity":324,"providers":328,"relations":332,"workflow":334},1778053100136.2388,"k17ba7hx1c2htdr84qc7vc86cd867abn",{"reviewCount":8},{"description":316,"installMethods":317,"name":318,"sourceUrl":319,"tags":320},"Use this skill when the user requests to review, analyze, critique, or summarize academic papers, research articles, preprints, or scientific publications. Supports comprehensive structured reviews covering methodology assessment, contribution evaluation, literature positioning, and constructive feedback generation. Trigger on queries involving paper URLs, uploaded PDFs, arXiv links, or requests like \"review this paper\", \"analyze this research\", \"summarize this study\", or \"write a peer review\".",{},"Academic Paper Review Skill","https://github.com/bytedance/deer-flow/tree/HEAD/skills/public/academic-paper-review",[321,322,323,266,17],"research","academic","paper-review",{"githubOwner":325,"githubRepo":326,"locale":26,"slug":327,"type":194},"bytedance","deer-flow","academic-paper-review",{"extract":329,"llm":331},{"commitSha":330,"license":186},"1336872b15c25d45ebcb7c1cf72369c2bdd53187",{"promptVersionExtension":170,"promptVersionScoring":171,"score":216,"targetMarket":176,"tier":177},{"repoId":333},"kd789sm7egx1h0t1jag6zzhcq98656wv",{"anyEnrichmentAt":335,"extractAt":336,"githubAt":335,"llmAt":337,"updatedAt":337},1778053101076,1778053100136,1778053169012,{"_creationTime":339,"_id":340,"community":341,"display":342,"identity":353,"providers":355,"relations":358,"workflow":359},1778054663200.0623,"k1787qemz1vae1jy4xsx7c2zyn867dwd",{"reviewCount":8},{"description":343,"installMethods":344,"name":345,"sourceUrl":346,"tags":347},"Maps the full customer journey from first touch to advocacy. Generates a comprehensive customer-journey.md with all stages, touchpoints, emotions, pain points, opportunities, Mermaid diagrams, and metrics. Use when mapping customer experience, designing onboarding flows, identifying churn risks, or optimizing conversion funnels.",{},"Customer Journey Mapper","https://github.com/onewave-ai/claude-skills/tree/HEAD/customer-journey-mapper",[348,349,350,351,21,352],"customer-experience","journey-mapping","strategy","marketing","reporting",{"githubOwner":240,"githubRepo":241,"locale":26,"slug":354,"type":194},"customer-journey-mapper",{"extract":356,"llm":357},{"commitSha":245,"license":186},{"promptVersionExtension":170,"promptVersionScoring":171,"score":216,"targetMarket":176,"tier":177},{"repoId":250},{"anyEnrichmentAt":252,"extractAt":253,"githubAt":252,"llmAt":254,"updatedAt":254},{"_creationTime":361,"_id":362,"community":363,"display":364,"identity":376,"providers":379,"relations":383,"workflow":385},1778054812528.7205,"k179w7m3n2zkvrbhmmwn1stces86799q",{"reviewCount":8},{"description":365,"installMethods":366,"name":367,"sourceUrl":368,"tags":369},"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",[370,371,372,373,21,374,375],"three-js","webgl","webgpu","3d-graphics","learning","examples",{"githubOwner":377,"githubRepo":378,"locale":26,"slug":373,"type":194},"samhvw8","dot-claude",{"extract":380,"llm":382},{"commitSha":381,"license":186},"28c76162116d2eedab131c0e1548fdc76a2999f7",{"promptVersionExtension":170,"promptVersionScoring":171,"score":216,"targetMarket":176,"tier":177},{"repoId":384},"kd79ad9dpqazy79y2s6rvajgjn865xek",{"anyEnrichmentAt":386,"extractAt":387,"githubAt":386,"llmAt":388,"updatedAt":388},1778054813688,1778054812528,1778054896678]