[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"extension-skill-refoundai-ai-product-strategy-pl":3,"guides-for-refoundai-ai-product-strategy":270,"similar-k173rfwq4dc7fwm8h0rev5cza1866g27":271},{"_creationTime":4,"_id":5,"children":6,"community":7,"display":9,"evaluation":19,"identity":226,"isFallback":231,"parentExtension":232,"providers":233,"relations":238,"repo":240,"workflow":267},1778053730743.9404,"k173rfwq4dc7fwm8h0rev5cza1866g27",[],{"reviewCount":8},0,{"description":10,"installMethods":11,"name":12,"sourceUrl":13,"tags":14},"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",[15,16,17,18],"ai","product-strategy","planning","llm",{"_creationTime":20,"_id":21,"extensionId":5,"locale":22,"result":23,"trustSignals":215,"workflow":224},1778053975687.078,"kn75bh65q2hd2kymtkfm83m2f1867ja9","en",{"checks":24,"evaluatedAt":205,"extensionSummary":206,"promptVersionExtension":207,"promptVersionScoring":208,"rationale":209,"score":210,"summary":211,"tags":212,"targetMarket":213,"tier":214},[25,30,33,37,41,45,49,52,56,60,64,67,70,73,76,80,83,86,89,92,95,99,103,106,110,113,116,119,122,125,128,132,135,139,143,146,149,152,155,159,162,165,166,167,168,169,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187,188,189,190,191,192,193,194,195,196,197,198,199,200,201,202,203,204],{"category":26,"check":27,"severity":28,"summary":29},"Invocation","Precise Purpose","pass","The description clearly states the artifact (AI product strategy) and the user intent (defining, planning, evaluating, integrating AI into products), providing clear boundaries and triggers.",{"category":26,"check":31,"severity":28,"summary":32},"Concise Frontmatter","The frontmatter is concise, self-contained, and effectively summarizes the core capability and triggers within the character limit.",{"category":34,"check":35,"severity":28,"summary":36},"Documentation","Concise Body","The SKILL.md body is concise and delegates deeper material to a separate file, adhering to the progressive disclosure principle.",{"category":38,"check":39,"severity":28,"summary":40},"Context","Progressive Disclosure","The SKILL.md outlines the overall flow and links to a separate `references/guest-insights.md` file for deeper material, following progressive disclosure.",{"category":38,"check":42,"severity":43,"summary":44},"Forked exploration","not_applicable","This skill is not focused on deep exploration or code review; it provides strategic guidance and questions, so the 'fork' context setting is not applicable.",{"category":46,"check":47,"severity":28,"summary":48},"Practical Utility","Usage examples","While no explicit invocation examples with input/output are provided, the 'Questions to Help Users' and 'Common Mistakes to Flag' sections serve as practical guidance for usage and expected outcomes.",{"category":46,"check":50,"severity":28,"summary":51},"Edge cases","The skill documents several failure modes and limitations, such as 'AI for AI's sake', 'Single-model thinking', and 'Ignoring the failures', with implied recovery or mitigation strategies.",{"category":53,"check":54,"severity":43,"summary":55},"Code Execution","Tool Fallback","This skill does not appear to rely on external tools like an MCP server; therefore, fallback mechanisms are not applicable.",{"category":57,"check":58,"severity":28,"summary":59},"Portability","Stack assumptions","The skill clearly states its runtime surface as Bash and Node.js (implied by general skill usage), and its preconditions are inherent to the Claude Code environment, without specific OS or framework assumptions.",{"category":61,"check":62,"severity":28,"summary":63},"Safety","Halt on unexpected state","The skill's guidance implies halting and reporting on unexpected states, such as 'AI for AI's sake' or 'Ignoring the failures', encouraging users to address these before proceeding with AI integration.",{"category":57,"check":65,"severity":28,"summary":66},"Cross-skill coupling","The skill is self-contained and does not appear to rely on other specific skills being loaded, though it cross-references related skills by name in its documentation.",{"category":34,"check":68,"severity":28,"summary":69},"Problem relevance","The description clearly names concrete user problems and contexts for using the AI product strategy skill.",{"category":46,"check":71,"severity":28,"summary":72},"Unique selling proposition","The skill offers value beyond a simple prompt by distilling insights from 94 product leaders and AI practitioners, providing structured frameworks and questions for AI product strategy.",{"category":46,"check":74,"severity":28,"summary":75},"Production readiness","The skill provides a complete set of guidance for defining AI product strategy, covering understanding context, clarifying problems, architectural decisions, and iteration planning.",{"category":77,"check":78,"severity":28,"summary":79},"Scope","Single responsibility principle","The skill focuses solely on AI product strategy, which is a coherent and well-defined domain, without extending into unrelated areas.",{"category":77,"check":81,"severity":28,"summary":82},"Description quality","The description is accurate, concise, and clearly reflects the skill's purpose and scope.",{"category":26,"check":84,"severity":43,"summary":85},"Scoped tools","This skill does not expose specific tools; it provides guidance and questions, so the concept of narrow vs. generalist tools does not apply.",{"category":34,"check":87,"severity":43,"summary":88},"Configuration & parameter reference","This skill does not have configurable parameters or environmental dependencies beyond the Claude Code runtime, making this check not applicable.",{"category":77,"check":90,"severity":43,"summary":91},"Tool naming","This skill does not define or use tools with user-facing names, so this check is not applicable.",{"category":77,"check":93,"severity":43,"summary":94},"Minimal I/O surface","This skill does not interact with external systems or expose I/O surfaces, so this check is not applicable.",{"category":96,"check":97,"severity":28,"summary":98},"License","License usability","The project includes a standard MIT license file, which is a permissive open-source license.",{"category":100,"check":101,"severity":43,"summary":102},"Maintenance","Commit recency","Commit information is not available for this evaluation, making it impossible to assess recency.",{"category":100,"check":104,"severity":43,"summary":105},"Dependency Management","The skill does not appear to have external dependencies that require management.",{"category":107,"check":108,"severity":43,"summary":109},"Security","Secret Management","The skill does not handle or expose secrets.",{"category":107,"check":111,"severity":28,"summary":112},"Injection","The skill does not load external data or rely on third-party content that could introduce injection risks.",{"category":107,"check":114,"severity":28,"summary":115},"Transitive Supply-Chain Grenades","The skill is self-contained and does not fetch remote content or execute external scripts, mitigating supply-chain risks.",{"category":107,"check":117,"severity":28,"summary":118},"Sandbox Isolation","The skill operates within the Claude Code environment and does not interact with the file system or external resources in a way that would risk sandbox escape.",{"category":107,"check":120,"severity":28,"summary":121},"Sandbox escape primitives","No detached process spawns or retry loops are present, as the skill is purely instructional.",{"category":107,"check":123,"severity":28,"summary":124},"Data Exfiltration","The skill does not make outbound calls or reference confidential data.",{"category":107,"check":126,"severity":28,"summary":127},"Hidden Text Tricks","The bundled content is free of hidden-steering tricks, control characters, or invisible Unicode tags.",{"category":129,"check":130,"severity":28,"summary":131},"Hooks","Opaque code execution","The skill's content is plain markdown and does not involve obfuscated or dynamically fetched code.",{"category":57,"check":133,"severity":28,"summary":134},"Structural Assumption","The skill makes no assumptions about the user's project structure beyond the standard Claude Code environment.",{"category":136,"check":137,"severity":43,"summary":138},"Trust","Issues Attention","Issue tracking information (opened/closed) is not available for this evaluation.",{"category":140,"check":141,"severity":43,"summary":142},"Versioning","Release Management","No versioning information (e.g., SKILL.md frontmatter, git tags) is present in the provided files.",{"category":53,"check":144,"severity":43,"summary":145},"Validation","The skill does not execute code or process structured input/output that requires validation libraries.",{"category":107,"check":147,"severity":28,"summary":148},"Unguarded Destructive Operations","The skill is purely instructional and does not perform any destructive operations.",{"category":53,"check":150,"severity":43,"summary":151},"Error Handling","The skill does not execute code, so error handling mechanisms are not applicable.",{"category":53,"check":153,"severity":43,"summary":154},"Logging","The skill does not perform actions that require local audit logging.",{"category":156,"check":157,"severity":43,"summary":158},"Compliance","GDPR","The skill does not operate on personal data and does not submit any data to third parties.",{"category":156,"check":160,"severity":28,"summary":161},"Target market","The skill's content is general to AI product strategy and does not contain region-specific logic or language, making it globally applicable.",{"category":57,"check":163,"severity":28,"summary":164},"Runtime stability","The skill is written in markdown and relies on the Claude Code runtime, with no specific OS or shell assumptions.",{"category":26,"check":31,"severity":28,"summary":32},{"category":34,"check":35,"severity":28,"summary":36},{"category":38,"check":39,"severity":28,"summary":40},{"category":38,"check":42,"severity":43,"summary":44},{"category":46,"check":47,"severity":28,"summary":48},{"category":46,"check":50,"severity":28,"summary":51},{"category":53,"check":54,"severity":43,"summary":55},{"category":57,"check":58,"severity":28,"summary":59},{"category":61,"check":62,"severity":28,"summary":63},{"category":57,"check":65,"severity":28,"summary":66},{"category":34,"check":68,"severity":28,"summary":69},{"category":46,"check":71,"severity":28,"summary":72},{"category":46,"check":74,"severity":28,"summary":75},{"category":77,"check":78,"severity":28,"summary":79},{"category":77,"check":81,"severity":28,"summary":82},{"category":26,"check":84,"severity":43,"summary":85},{"category":34,"check":87,"severity":43,"summary":88},{"category":77,"check":90,"severity":43,"summary":91},{"category":77,"check":93,"severity":43,"summary":94},{"category":96,"check":97,"severity":28,"summary":98},{"category":100,"check":101,"severity":43,"summary":102},{"category":100,"check":104,"severity":43,"summary":105},{"category":107,"check":108,"severity":43,"summary":109},{"category":107,"check":111,"severity":28,"summary":112},{"category":107,"check":114,"severity":28,"summary":115},{"category":107,"check":117,"severity":28,"summary":118},{"category":107,"check":120,"severity":28,"summary":121},{"category":107,"check":123,"severity":28,"summary":124},{"category":107,"check":126,"severity":28,"summary":127},{"category":129,"check":130,"severity":28,"summary":131},{"category":57,"check":133,"severity":28,"summary":134},{"category":136,"check":137,"severity":43,"summary":138},{"category":140,"check":141,"severity":43,"summary":142},{"category":53,"check":144,"severity":43,"summary":145},{"category":107,"check":147,"severity":28,"summary":148},{"category":53,"check":150,"severity":43,"summary":151},{"category":53,"check":153,"severity":43,"summary":154},{"category":156,"check":157,"severity":43,"summary":158},{"category":156,"check":160,"severity":28,"summary":161},{"category":57,"check":163,"severity":28,"summary":164},1778053753820,"This skill helps users define AI product strategy by providing frameworks and guidance distilled from 94 product leaders and AI practitioners. It covers understanding context, clarifying problems, guiding architecture decisions, and planning for iteration, offering insights into core principles and common mistakes.","2.0.0","3.4.0","The skill is well-documented, clearly scoped to AI product strategy, and adheres to best practices for prompt-based extensions. It provides valuable distilled insights from industry leaders and handles potential edge cases effectively. Several checks were not applicable due to the skill's nature as instructional content rather than executable code.",98,"A comprehensive skill for defining AI product strategy, drawing on expert insights.",[15,16,17,18],"global","verified",{"codeQuality":216,"collectedAt":217,"documentation":218,"maintenance":220,"security":221,"testCoverage":223},{},1778053737956,{"descriptionLength":219,"readmeSize":8},256,{},{"hasNpmPackage":222,"smitheryVerified":222},false,{"hasCi":222,"hasTests":222},{"updatedAt":225},1778053975687,{"githubOwner":227,"githubRepo":228,"locale":22,"slug":229,"type":230},"refoundai","lenny-skills","ai-product-strategy","skill",true,null,{"extract":234,"llm":237},{"commitSha":235,"license":236},"280a57aa42fed3b6f35f51f0d9e71013b4c8ae74","MIT",{"promptVersionExtension":207,"promptVersionScoring":208,"score":210,"targetMarket":213,"tier":214},{"repoId":239},"kd71b12s61d3nrk4f6dxqd3z35865mkg",{"_creationTime":241,"_id":239,"identity":242,"providers":244,"workflow":264},1777995558409.8545,{"githubOwner":227,"githubRepo":228,"sourceUrl":243},"https://github.com/refoundai/lenny-skills",{"discover":245,"github":249},{"sources":246},[247,248],"skills-sh","vskill",{"closedIssues90d":8,"forks":250,"license":236,"openIssues90d":8,"pushedAt":251,"readmeSize":252,"stars":253,"topics":254},105,1769825583000,15888,767,[255,256,257,258,259,18,260,261,262,263],"ai-agents","ai-assistant","claude","claude-code","lenny-rachitsky","pm-tools","product-management","skills","product-skills",{"discoverAt":265,"extractAt":266,"githubAt":266,"updatedAt":266},1777995558409,1778053735146,{"anyEnrichmentAt":268,"extractAt":269,"githubAt":268,"llmAt":225,"updatedAt":225},1778053732694,1778053730744,[],[272,300,328,357,385,413],{"_creationTime":273,"_id":274,"community":275,"display":276,"identity":286,"providers":290,"relations":294,"workflow":296},1778054123074.2559,"k171bg90a9mh96w2p4em6tn7zh8676as",{"reviewCount":8},{"description":277,"installMethods":278,"name":279,"sourceUrl":280,"tags":281},"Optimize content for AI search engines — ChatGPT, Perplexity, Claude, Gemini, Google AI Overviews. Use when the user asks about AI SEO, AISO, getting cited by AI, appearing in AI answers, answer engine optimization, AEO, GEO, LLMO, AI Overviews, zero-click search, or how to appear in ChatGPT/Perplexity results. For traditional SEO, see diagnose-seo.",{},"Optimize for AI","https://github.com/calm-north/seojuice-skills/tree/HEAD/skills/optimize-for-ai",[282,15,283,284,285],"seo","content-optimization","marketing","documentation",{"githubOwner":287,"githubRepo":288,"locale":22,"slug":289,"type":230},"calm-north","seojuice-skills","optimize-for-ai",{"extract":291,"llm":293},{"commitSha":292,"license":236},"c1f633bea512365ba04477076369e418ecc82ffd",{"promptVersionExtension":207,"promptVersionScoring":208,"score":210,"targetMarket":213,"tier":214},{"repoId":295},"kd77p09fwtcsr2sfmxw6921ek1864v0a",{"anyEnrichmentAt":297,"extractAt":298,"githubAt":297,"llmAt":299,"updatedAt":299},1778054123513,1778054123074,1778054162250,{"_creationTime":301,"_id":302,"community":303,"display":304,"identity":315,"providers":318,"relations":322,"workflow":324},1778053148350.4202,"k17a8yhy4bc401x2yjqa1rvgc9867kxm",{"reviewCount":8},{"description":305,"installMethods":306,"name":307,"sourceUrl":308,"tags":309},"Generate complete presentations with AI - from outline to polished slides",{},"AI Slides","https://github.com/claude-office-skills/skills/tree/HEAD/ai-slides",[310,15,311,312,313,314],"presentation","generation","automatic","mcp","python",{"githubOwner":316,"githubRepo":262,"locale":22,"slug":317,"type":230},"claude-office-skills","ai-slides",{"extract":319,"llm":321},{"commitSha":320,"license":236},"9c4c7d5cd2813a8936bf2c9fdb174ea883b85a11",{"promptVersionExtension":207,"promptVersionScoring":208,"score":210,"targetMarket":213,"tier":214},{"repoId":323},"kd7fw7xbj58qc2z8whrrjptbed8659db",{"anyEnrichmentAt":325,"extractAt":326,"githubAt":325,"llmAt":327,"updatedAt":327},1778053151766,1778053148350,1778053561145,{"_creationTime":329,"_id":330,"community":331,"display":332,"identity":343,"providers":346,"relations":350,"workflow":353},1778053197391.381,"k1735h9gwnmr6f8rffs7ya2mzd866j8d",{"reviewCount":8},{"description":333,"installMethods":334,"name":335,"sourceUrl":336,"tags":337},"Universal AI video generation supporting OpenAI Sora, Google Veo 2/3, Runway Gen-3/Gen-4, Pika 2.2, Luma Dream Machine (Ray 2), FAL (Kling / Wan / Veo / Sora wrappers), Ark Seedance 1.5 Pro/Lite, Bailian Wanx (i2v), MiniMax Hailuo-02, and Vidu Q3. Use this skill whenever the user asks to generate, create, make, or synthesize a video from a text prompt or from a first-frame image. Covers text-to-video and image-to-video, with optional last-frame control on providers that support it. Typical phrases include \"generate a video of ...\", \"make a 5-second clip of ...\", \"animate this image\", \"生成一段视频\", \"做个短片\", or any mention of video-generation model families like Sora, Veo, Runway Gen, Kling, Wan, Seedance, Hailuo, Pika, Dream Machine, Vidu. Always use this skill even if the user does not name a specific model — pick a provider from their EXTEND.md defaults or available API keys. Do NOT use this skill when the user explicitly mentions 即梦 / Dreamina / Jimeng — those go to happy-dreamina instead.",{},"happy-video-gen","https://github.com/iamzhihuix/happy-claude-skills/tree/HEAD/skills/happy-video-gen",[338,15,339,340,341,342],"video-generation","text-to-video","image-to-video","cli","bun",{"githubOwner":344,"githubRepo":345,"locale":22,"slug":335,"type":230},"iamzhihuix","happy-claude-skills",{"extract":347,"llm":349},{"commitSha":348,"license":236},"f49e7782a551759c9f9e0a4d4417ff053f0a86fd",{"promptVersionExtension":207,"promptVersionScoring":208,"score":210,"targetMarket":213,"tier":214},{"parentExtensionId":351,"repoId":352},"k171hhe10096p6msy14zg5k4rs867p7f","kd7dbbtdq95nkcs3k7fg9w6fdn864j0b",{"anyEnrichmentAt":354,"extractAt":355,"githubAt":354,"llmAt":356,"updatedAt":356},1778053199195,1778053197391,1778053284450,{"_creationTime":358,"_id":359,"community":360,"display":361,"identity":371,"providers":375,"relations":379,"workflow":381},1778053100136.2388,"k17ba7hx1c2htdr84qc7vc86cd867abn",{"reviewCount":8},{"description":362,"installMethods":363,"name":364,"sourceUrl":365,"tags":366},"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",[367,368,369,370,18],"research","academic","paper-review","analysis",{"githubOwner":372,"githubRepo":373,"locale":22,"slug":374,"type":230},"bytedance","deer-flow","academic-paper-review",{"extract":376,"llm":378},{"commitSha":377,"license":236},"1336872b15c25d45ebcb7c1cf72369c2bdd53187",{"promptVersionExtension":207,"promptVersionScoring":208,"score":210,"targetMarket":213,"tier":214},{"repoId":380},"kd789sm7egx1h0t1jag6zzhcq98656wv",{"anyEnrichmentAt":382,"extractAt":383,"githubAt":382,"llmAt":384,"updatedAt":384},1778053101076,1778053100136,1778053169012,{"_creationTime":386,"_id":387,"community":388,"display":389,"identity":399,"providers":402,"relations":407,"workflow":409},1778054691785.252,"k176gbxhc64dkqtxv2h18f96nh866z6y",{"reviewCount":8},{"description":390,"installMethods":391,"name":392,"sourceUrl":393,"tags":394},"Implement large language model (LLM) chat completions using the z-ai-web-dev-sdk. Use this skill when the user needs to build conversational AI applications, chatbots, AI assistants, or any text generation features. Supports multi-turn conversations, system prompts, and context management.",{},"LLM Chat Completions","https://github.com/answerzhao/agent-skills/tree/HEAD/glm-skills/LLM",[18,395,396,397,398],"chat","sdk","text-generation","conversational-ai",{"githubOwner":400,"githubRepo":401,"locale":22,"slug":18,"type":230},"answerzhao","agent-skills",{"extract":403,"llm":405},{"commitSha":404,"license":236},"aad73edbd0d9ffbc3d6a402b6eafa6dab96d5ebb",{"promptVersionExtension":207,"promptVersionScoring":208,"score":406,"targetMarket":213,"tier":214},96,{"repoId":408},"kd712v2g1pay70swwj0jpv2ggs864zgh",{"anyEnrichmentAt":410,"extractAt":411,"githubAt":410,"llmAt":412,"updatedAt":412},1778054692243,1778054691785,1778054738050,{"_creationTime":414,"_id":415,"community":416,"display":417,"identity":426,"providers":427,"relations":431,"workflow":432},1778054691785.2563,"k175a63p5vhhc6160by5rqytgd867xs7",{"reviewCount":8},{"description":418,"installMethods":419,"name":420,"sourceUrl":421,"tags":422},"Implement AI image generation capabilities using the z-ai-web-dev-sdk. Use this skill when the user needs to create images from text descriptions, generate visual content, create artwork, design assets, or build applications with AI-powered image creation. Supports multiple image sizes and returns base64 encoded images. Also includes CLI tool for quick image generation.",{},"AI Image Generation","https://github.com/answerzhao/agent-skills/tree/HEAD/glm-skills/image-generation",[423,15,396,341,424,425],"image-generation","typescript","z-ai-web-dev-sdk",{"githubOwner":400,"githubRepo":401,"locale":22,"slug":423,"type":230},{"extract":428,"llm":429},{"commitSha":404,"license":236},{"promptVersionExtension":207,"promptVersionScoring":208,"score":430,"targetMarket":213,"tier":214},95,{"repoId":408},{"anyEnrichmentAt":410,"extractAt":411,"githubAt":410,"llmAt":412,"updatedAt":412}]