[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"extension-skill-answerzhao-video-generation-de":3,"guides-for-answerzhao-video-generation":224,"similar-k17bcac1ydrsnc05mcyeqxtbns866sjb":225},{"_creationTime":4,"_id":5,"children":6,"community":7,"display":9,"evaluation":21,"identity":191,"isFallback":195,"parentExtension":196,"providers":197,"relations":201,"repo":203,"workflow":221},1778054691785.2568,"k17bcac1ydrsnc05mcyeqxtbns866sjb",[],{"reviewCount":8},0,{"description":10,"installMethods":11,"name":12,"sourceUrl":13,"tags":14},"Implement AI-powered video generation capabilities using the z-ai-web-dev-sdk. Use this skill when the user needs to generate videos from text prompts or images, create video content programmatically, or build applications that produce video outputs. Supports asynchronous task management with status polling and result retrieval.",{},"Video Generation","https://github.com/answerzhao/agent-skills/tree/HEAD/glm-skills/video-generation",[15,16,17,18,19,20],"video-generation","ai","sdk","media","content-creation","z-ai",{"_creationTime":22,"_id":23,"extensionId":5,"locale":24,"result":25,"trustSignals":179,"workflow":189},1778054738050.0327,"kn7469va5n3217rkayb0jh82498665h1","en",{"checks":26,"evaluatedAt":169,"extensionSummary":170,"promptVersionExtension":171,"promptVersionScoring":172,"rationale":173,"score":174,"summary":175,"tags":176,"targetMarket":177,"tier":178},[27,32,35,38,42,45,49,53,56,59,63,68,71,75,78,81,84,87,90,93,97,101,105,110,115,118,121,124,128,131,134,137,140,143,147,150,153,156,159,162,166],{"category":28,"check":29,"severity":30,"summary":31},"Practical Utility","Problem relevance","pass","The description clearly states the problem of implementing AI-powered video generation using a specific SDK and mentions typical use cases like generating videos from text or images.",{"category":28,"check":33,"severity":30,"summary":34},"Unique selling proposition","The extension provides a specific SDK ('z-ai-web-dev-sdk') and a structured workflow (asynchronous task management) for video generation, which goes beyond a simple prompt.",{"category":28,"check":36,"severity":30,"summary":37},"Production readiness","The extension covers the complete lifecycle of video generation, from creation to polling for results, and provides both CLI and SDK implementations for various use cases.",{"category":39,"check":40,"severity":30,"summary":41},"Scope","Single responsibility principle","The skill focuses solely on AI-powered video generation using the specified SDK, with clear documentation for its capabilities and workflow.",{"category":39,"check":43,"severity":30,"summary":44},"Description quality","The description is accurate, concise, and effectively communicates the skill's purpose and capabilities, including its asynchronous nature.",{"category":46,"check":47,"severity":30,"summary":48},"Invocation","Scoped tools","The CLI commands and SDK methods are specific verb-noun actions related to video generation (e.g., 'z-ai video', 'zai.video.generations.create').",{"category":50,"check":51,"severity":30,"summary":52},"Documentation","Configuration & parameter reference","All CLI parameters and SDK configuration options for video generation are clearly documented with their types, requirements, and default values.",{"category":39,"check":54,"severity":30,"summary":55},"Tool naming","Tool names (CLI commands and SDK methods) are descriptive and adhere to common naming conventions (kebab-case for CLI, camelCase for SDK).",{"category":39,"check":57,"severity":30,"summary":58},"Minimal I/O surface","Input parameters are clearly defined and constrained, and the output primarily provides task status and video URLs without extraneous data.",{"category":60,"check":61,"severity":30,"summary":62},"License","License usability","A MIT license is provided in a LICENSE.txt file, and is also declared in the SKILL.md frontmatter, making it permissive and clearly indicated.",{"category":64,"check":65,"severity":66,"summary":67},"Maintenance","Commit recency","not_applicable","No commit history is available for evaluation.",{"category":64,"check":69,"severity":66,"summary":70},"Dependency Management","No third-party dependencies are explicitly managed or listed beyond the core 'z-ai-web-dev-sdk', which is assumed to be installed.",{"category":72,"check":73,"severity":30,"summary":74},"Security","Secret Management","The documentation explicitly warns against using the SDK in client-side code and implies that credentials should be managed securely on the backend.",{"category":72,"check":76,"severity":30,"summary":77},"Injection","The skill primarily interacts with a specific SDK and its defined parameters, and there are no indications of loading untrusted data as instructions.",{"category":72,"check":79,"severity":30,"summary":80},"Transitive Supply-Chain Grenades","The skill relies on a specific SDK and does not fetch remote code or data at runtime that could be manipulated.",{"category":72,"check":82,"severity":30,"summary":83},"Sandbox Isolation","The skill operates via an SDK and does not appear to perform file operations outside of its intended scope or interact with the user's file system directly.",{"category":72,"check":85,"severity":30,"summary":86},"Sandbox escape primitives","The skill's functionality is confined to SDK calls and does not involve executing arbitrary shell commands or detached processes.",{"category":72,"check":88,"severity":30,"summary":89},"Data Exfiltration","The skill's described functionality does not involve reading or submitting confidential user data to third parties.",{"category":72,"check":91,"severity":30,"summary":92},"Hidden Text Tricks","The bundled files do not contain any hidden text tricks or obfuscated instructions.",{"category":94,"check":95,"severity":30,"summary":96},"Hooks","Opaque code execution","The bundled scripts use standard JavaScript imports and do not contain obfuscated code, base64 payloads, or runtime fetched scripts.",{"category":98,"check":99,"severity":30,"summary":100},"Portability","Structural Assumption","The skill assumes the 'z-ai-web-dev-sdk' is installed and backend usage, but does not make assumptions about the user's project structure beyond that.",{"category":102,"check":103,"severity":66,"summary":104},"Trust","Issues Attention","No issue data is available for this repository.",{"category":106,"check":107,"severity":108,"summary":109},"Versioning","Release Management","warning","No manifest version or GitHub release tags are present, and install instructions do not reference a specific version.",{"category":111,"check":112,"severity":113,"summary":114},"Code Execution","Validation","info","The documentation mentions parameter validation is needed for user inputs, but explicit schema validation libraries are not demonstrated in the code examples.",{"category":72,"check":116,"severity":30,"summary":117},"Unguarded Destructive Operations","The skill's operations are primarily API calls for video generation and do not involve destructive file operations.",{"category":111,"check":119,"severity":30,"summary":120},"Error Handling","The provided JavaScript examples include try-catch blocks for error handling and specific checks for task status (SUCCESS, FAIL).",{"category":111,"check":122,"severity":113,"summary":123},"Logging","The provided script logs task creation, status, and results to the console, but there is no explicit mention of a separate local audit file.",{"category":125,"check":126,"severity":30,"summary":127},"Compliance","GDPR","The skill does not appear to operate on personal data directly, and the documentation warns against client-side SDK usage which could inadvertently expose such data.",{"category":125,"check":129,"severity":30,"summary":130},"Target market","The extension does not contain any regional signals and is globally applicable.",{"category":98,"check":132,"severity":30,"summary":133},"Runtime stability","The skill relies on a Node.js environment for the SDK usage, and the documentation does not suggest assumptions about specific editors or operating systems.",{"category":46,"check":135,"severity":30,"summary":136},"Precise Purpose","The description clearly states the purpose of implementing AI-powered video generation using the z-ai-web-dev-sdk and its asynchronous task management.",{"category":46,"check":138,"severity":30,"summary":139},"Concise Frontmatter","The frontmatter is concise and effectively summarizes the skill's core capability and use cases.",{"category":50,"check":141,"severity":30,"summary":142},"Concise Body","The SKILL.md file is well-structured with clear sections and examples, keeping the main body concise.",{"category":144,"check":145,"severity":30,"summary":146},"Context","Progressive Disclosure","Detailed information like CLI parameters and response formats are presented in tables within the SKILL.md, with code examples following directly.",{"category":144,"check":148,"severity":66,"summary":149},"Forked exploration","The skill is task-oriented and does not involve deep exploration that would necessitate forked context.",{"category":28,"check":151,"severity":30,"summary":152},"Usage examples","Multiple ready-to-use examples are provided for CLI and SDK usage, covering text-to-video, image-to-video, and asynchronous task management.",{"category":28,"check":154,"severity":113,"summary":155},"Edge cases","The documentation mentions potential failure modes like tasks staying in PROCESSING or failing, and suggests solutions like implementing timeouts and checking parameters.",{"category":111,"check":157,"severity":66,"summary":158},"Tool Fallback","The skill relies on the 'z-ai-web-dev-sdk' which is assumed to be installed, and does not depend on external tools that would require fallbacks.",{"category":98,"check":160,"severity":30,"summary":161},"Stack assumptions","The skill assumes a Node.js environment for SDK usage and JavaScript/TypeScript for scripting, which is clearly indicated by the examples.",{"category":163,"check":164,"severity":30,"summary":165},"Safety","Halt on unexpected state","The example code includes error handling for task failures and SDK issues, ensuring the workflow halts gracefully on unexpected states.",{"category":98,"check":167,"severity":30,"summary":168},"Cross-skill coupling","The skill is self-contained and focuses on video generation using its specific SDK, without implicit reliance on other skills.",1778054730732,"It enables programmatic video creation from text prompts or images through an asynchronous task management system. The extension includes detailed documentation for both CLI and SDK usage, error handling, and best practices for efficient video generation.","2.0.0","3.4.0","The extension is well-documented, provides clear usage examples for both CLI and SDK, and covers the full video generation lifecycle. A minor warning for missing versioning information is noted.",95,"This skill provides comprehensive capabilities for AI-powered video generation using the z-ai-web-dev-sdk.",[15,16,17,18,19,20],"global","verified",{"codeQuality":180,"collectedAt":181,"documentation":182,"maintenance":184,"security":185,"testCoverage":188},{},1778054719662,{"descriptionLength":183,"readmeSize":8},330,{},{"hasNpmPackage":186,"license":187,"smitheryVerified":186},false,"MIT",{"hasCi":186,"hasTests":186},{"updatedAt":190},1778054738050,{"githubOwner":192,"githubRepo":193,"locale":24,"slug":15,"type":194},"answerzhao","agent-skills","skill",true,null,{"extract":198,"llm":200},{"commitSha":199,"license":187},"aad73edbd0d9ffbc3d6a402b6eafa6dab96d5ebb",{"promptVersionExtension":171,"promptVersionScoring":172,"score":174,"targetMarket":177,"tier":178},{"repoId":202},"kd712v2g1pay70swwj0jpv2ggs864zgh",{"_creationTime":204,"_id":202,"identity":205,"providers":207,"workflow":218},1777995558409.901,{"githubOwner":192,"githubRepo":193,"sourceUrl":206},"https://github.com/answerzhao/agent-skills",{"discover":208,"github":211},{"sources":209},[210],"skills-sh",{"closedIssues90d":8,"forks":212,"openIssues90d":213,"pushedAt":214,"readmeSize":215,"stars":216,"topics":217},15,1,1768478800000,770,26,[],{"discoverAt":219,"extractAt":220,"githubAt":220,"updatedAt":220},1777995558409,1778054693420,{"anyEnrichmentAt":222,"extractAt":223,"githubAt":222,"llmAt":190,"updatedAt":190},1778054692243,1778054691785,[],[226,255,283,301,321,342],{"_creationTime":227,"_id":228,"community":229,"display":230,"identity":240,"providers":243,"relations":248,"workflow":251},1778053197391.381,"k1735h9gwnmr6f8rffs7ya2mzd866j8d",{"reviewCount":8},{"description":231,"installMethods":232,"name":233,"sourceUrl":234,"tags":235},"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",[15,16,236,237,238,239],"text-to-video","image-to-video","cli","bun",{"githubOwner":241,"githubRepo":242,"locale":24,"slug":233,"type":194},"iamzhihuix","happy-claude-skills",{"extract":244,"llm":246},{"commitSha":245,"license":187},"f49e7782a551759c9f9e0a4d4417ff053f0a86fd",{"promptVersionExtension":171,"promptVersionScoring":172,"score":247,"targetMarket":177,"tier":178},98,{"parentExtensionId":249,"repoId":250},"k171hhe10096p6msy14zg5k4rs867p7f","kd7dbbtdq95nkcs3k7fg9w6fdn864j0b",{"anyEnrichmentAt":252,"extractAt":253,"githubAt":252,"llmAt":254,"updatedAt":254},1778053199195,1778053197391,1778053284450,{"_creationTime":256,"_id":257,"community":258,"display":259,"identity":269,"providers":273,"relations":277,"workflow":279},1778053045806.3567,"k17e33v4yntn4a3cdb8ky942th867caj",{"reviewCount":8},{"description":260,"installMethods":261,"name":262,"sourceUrl":263,"tags":264},"agent-im 会话技能 - 通过 liblib.tv 的 AI 能力生成和编辑图片/视频。覆盖场景包括：生成（文生图、文生视频、图生视频、做动画、画一个xxx、来段xxx）、编辑修改（把xxx换成yyy、去掉xxx、加上xxx、改成xxx、调整xxx、局部修改、改镜头）、风格转换（风格迁移、转绘、换风格）、视频续写延长、复刻视频/TVC/宣传片、短剧/短漫剧生成、音乐MV生成、产品广告/展示片制作、分镜/故事板设计、教育视频/短视频制作。当用户提到 liblib、libtv、上传参考图/视频、查看生成进度时也应触发。关键判断：只要用户的请求涉及 AI 图片或视频的创作、生成、编辑、修改，无论措辞如何（如\"画只猫\"、\"做个海报\"、\"把纸船换成爱心\"、\"这个视频帮我改一下\"、\"帮我复刻这段视频\"、\"用这首歌做个MV\"、\"一句话生成短剧\"），都必须触发此技能。",{},"LibTV AI Agent Skills","https://github.com/libtv-labs/libtv-skills/tree/HEAD/skills/libtv-skill",[16,265,15,266,267,268],"image-generation","editing","liblib","python",{"githubOwner":270,"githubRepo":271,"locale":24,"slug":272,"type":194},"libtv-labs","libtv-skills","libtv-skill",{"extract":274,"llm":276},{"commitSha":275,"license":187},"c609246c1eca69f6bc129bcbb5d64c36734e4a4a",{"promptVersionExtension":171,"promptVersionScoring":172,"score":174,"targetMarket":177,"tier":178},{"repoId":278},"kd702p00n7aag2rzaer2dkgx1s864sc0",{"anyEnrichmentAt":280,"extractAt":281,"githubAt":280,"llmAt":282,"updatedAt":282},1778053046121,1778053045806,1778053057670,{"_creationTime":284,"_id":285,"community":286,"display":287,"identity":295,"providers":296,"relations":299,"workflow":300},1778054691785.2563,"k175a63p5vhhc6160by5rqytgd867xs7",{"reviewCount":8},{"description":288,"installMethods":289,"name":290,"sourceUrl":291,"tags":292},"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",[265,16,17,238,293,294],"typescript","z-ai-web-dev-sdk",{"githubOwner":192,"githubRepo":193,"locale":24,"slug":265,"type":194},{"extract":297,"llm":298},{"commitSha":199,"license":187},{"promptVersionExtension":171,"promptVersionScoring":172,"score":174,"targetMarket":177,"tier":178},{"repoId":202},{"anyEnrichmentAt":222,"extractAt":223,"githubAt":222,"llmAt":190,"updatedAt":190},{"_creationTime":302,"_id":303,"community":304,"display":305,"identity":314,"providers":316,"relations":319,"workflow":320},1778054691785.253,"k177d8x4rh1ywg32t06w9sjpq9867141",{"reviewCount":8},{"description":306,"installMethods":307,"name":308,"sourceUrl":309,"tags":310},"Implement vision-based AI chat capabilities using the z-ai-web-dev-sdk. Use this skill when the user needs to analyze images, describe visual content, or create applications that combine image understanding with conversational AI. Supports image URLs and base64 encoded images for multimodal interactions.",{},"VLM (Vision Chat) Skill","https://github.com/answerzhao/agent-skills/tree/HEAD/glm-skills/VLM",[311,312,313,17,238,16],"vision","multimodal","image-analysis",{"githubOwner":192,"githubRepo":193,"locale":24,"slug":315,"type":194},"vlm",{"extract":317,"llm":318},{"commitSha":199,"license":187},{"promptVersionExtension":171,"promptVersionScoring":172,"score":174,"targetMarket":177,"tier":178},{"repoId":202},{"anyEnrichmentAt":222,"extractAt":223,"githubAt":222,"llmAt":190,"updatedAt":190},{"_creationTime":322,"_id":323,"community":324,"display":325,"identity":334,"providers":336,"relations":339,"workflow":341},1778053197391.383,"k176c18bj1xnz11za3vwckfwn1866eqw",{"reviewCount":8},{"description":326,"installMethods":327,"name":328,"sourceUrl":329,"tags":330},"ByteDance Jimeng (Dreamina) image and video generation via the official `dreamina` CLI. Use this skill whenever the user mentions 即梦, Dreamina, Jimeng, or asks to generate images or videos specifically through ByteDance's Jimeng service. Covers text2image, image2image, text2video, image2video, plus async task query and task-history browsing via list_task. Trigger this skill instead of happy-image-gen or happy-video-gen whenever the user explicitly names 即梦 or dreamina — it uses browser-based login (`dreamina login`) rather than API keys and has access to Jimeng-exclusive models. Common phrases include \"用即梦画张...\", \"Jimeng generate a video of...\", \"Dreamina 文生视频\", \"用 dreamina CLI 做图\", \"查下我即梦的历史任务\".",{},"Happy Dreamina","https://github.com/iamzhihuix/happy-claude-skills/tree/HEAD/skills/happy-dreamina",[265,15,238,331,332,333],"bytedance","jimeng","dreamina",{"githubOwner":241,"githubRepo":242,"locale":24,"slug":335,"type":194},"happy-dreamina",{"extract":337,"llm":338},{"commitSha":245,"license":187},{"promptVersionExtension":171,"promptVersionScoring":172,"score":247,"targetMarket":177,"tier":178},{"parentExtensionId":340,"repoId":250},"k178jh6rrdj83v5adkc8trggrx8671n6",{"anyEnrichmentAt":252,"extractAt":253,"githubAt":252,"llmAt":254,"updatedAt":254},{"_creationTime":343,"_id":344,"community":345,"display":346,"identity":356,"providers":360,"relations":364,"workflow":366},1778054123074.2559,"k171bg90a9mh96w2p4em6tn7zh8676as",{"reviewCount":8},{"description":347,"installMethods":348,"name":349,"sourceUrl":350,"tags":351},"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",[352,16,353,354,355],"seo","content-optimization","marketing","documentation",{"githubOwner":357,"githubRepo":358,"locale":24,"slug":359,"type":194},"calm-north","seojuice-skills","optimize-for-ai",{"extract":361,"llm":363},{"commitSha":362,"license":187},"c1f633bea512365ba04477076369e418ecc82ffd",{"promptVersionExtension":171,"promptVersionScoring":172,"score":247,"targetMarket":177,"tier":178},{"repoId":365},"kd77p09fwtcsr2sfmxw6921ek1864v0a",{"anyEnrichmentAt":367,"extractAt":368,"githubAt":367,"llmAt":369,"updatedAt":369},1778054123513,1778054123074,1778054162250]