[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"extension-skill-answerzhao-image-generation-pt-BR":3,"guides-for-answerzhao-image-generation":224,"similar-k175a63p5vhhc6160by5rqytgd867xs7":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},1778054691785.2563,"k175a63p5vhhc6160by5rqytgd867xs7",[],{"reviewCount":8},0,{"description":10,"installMethods":11,"name":12,"sourceUrl":13,"tags":14},"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",[15,16,17,18,19,20],"image-generation","ai","sdk","cli","typescript","z-ai-web-dev-sdk",{"_creationTime":22,"_id":23,"extensionId":5,"locale":24,"result":25,"trustSignals":179,"workflow":189},1778054738050.0344,"kn78y5zax6vjsk9ttcsz1ydzc98664a5","en",{"checks":26,"evaluatedAt":169,"extensionSummary":170,"promptVersionExtension":171,"promptVersionScoring":172,"rationale":173,"score":174,"summary":175,"tags":176,"targetMarket":177,"tier":178},[27,32,35,38,42,45,49,53,56,59,63,68,71,75,78,81,84,87,90,93,97,101,105,110,114,117,120,124,128,131,134,137,140,143,147,150,153,156,159,162,166],{"category":28,"check":29,"severity":30,"summary":31},"Practical Utility","Problem relevance","pass","The description clearly states the problem of needing AI image generation capabilities using a specific SDK and CLI tool.",{"category":28,"check":33,"severity":30,"summary":34},"Unique selling proposition","The extension offers value over a simple prompt by providing a structured SDK and CLI tool specifically for AI image generation, including support for various sizes and base64 encoding, which goes beyond default LLM capabilities.",{"category":28,"check":36,"severity":30,"summary":37},"Production readiness","The skill provides functional code examples, CLI usage, and advanced integration examples, covering the full lifecycle of image generation from prompt to saved file, indicating production readiness.",{"category":39,"check":40,"severity":30,"summary":41},"Scope","Single responsibility principle","The skill is focused solely on AI image generation using the z-ai-web-dev-sdk, adhering to a single responsibility.",{"category":39,"check":43,"severity":30,"summary":44},"Description quality","The displayed description accurately reflects the functionality demonstrated in the code, including AI image generation, SDK usage, multiple sizes, base64 output, and CLI tool availability.",{"category":46,"check":47,"severity":30,"summary":48},"Invocation","Scoped tools","The CLI tool and SDK functions are specific to image generation actions like 'create', 'generate', and managing parameters like 'prompt' and 'size', rather than general-purpose execution.",{"category":50,"check":51,"severity":30,"summary":52},"Documentation","Configuration & parameter reference","All relevant parameters like prompt, size, and output path are documented within the code examples and CLI usage instructions. Default values are implicitly handled by the SDK's design or explicitly stated in examples (e.g., default size).",{"category":39,"check":54,"severity":30,"summary":55},"Tool naming","Tool names used in the CLI (e.g., `z-ai image`) and function names in the SDK examples (e.g., `generateImage`) are descriptive and relevant to the image generation domain.",{"category":39,"check":57,"severity":30,"summary":58},"Minimal I/O surface","Inputs like prompt and size are specific to image generation. Outputs are the generated image (base64 or file path) as promised, without extraneous data.",{"category":60,"check":61,"severity":30,"summary":62},"License","License usability","The extension is licensed under MIT, a permissive open-source license, with a LICENSE.txt file present.",{"category":64,"check":65,"severity":66,"summary":67},"Maintenance","Commit recency","not_applicable","No commit history is available for this specific skill's directory in the provided context, making it impossible to assess recency.",{"category":64,"check":69,"severity":66,"summary":70},"Dependency Management","No third-party dependencies are explicitly managed within this skill's bundle beyond the z-ai-web-dev-sdk, which is assumed to be pre-installed.",{"category":72,"check":73,"severity":30,"summary":74},"Security","Secret Management","The code examples show the SDK being initialized without explicit secrets being passed. It's assumed the SDK handles API key management securely, likely via environment variables not shown in the examples.",{"category":72,"check":76,"severity":30,"summary":77},"Injection","The skill focuses on image generation and does not appear to load or execute arbitrary external data as instructions.",{"category":72,"check":79,"severity":30,"summary":80},"Transitive Supply-Chain Grenades","The skill uses a specific SDK and does not appear to fetch or execute external code or data at runtime.",{"category":72,"check":82,"severity":30,"summary":83},"Sandbox Isolation","The code examples operate within the context of generating and saving image files, with no apparent attempt to modify files outside the project or touch user-specific paths.",{"category":72,"check":85,"severity":30,"summary":86},"Sandbox escape primitives","No detached process spawns or deny-retry loops were observed in the provided script examples.",{"category":72,"check":88,"severity":30,"summary":89},"Data Exfiltration","The skill's function is image generation. No outbound calls for telemetry or data exfiltration were observed in the provided code samples.",{"category":72,"check":91,"severity":30,"summary":92},"Hidden Text Tricks","Bundled files appear free of hidden-steering tricks. Descriptions use standard text and expected Unicode characters.",{"category":94,"check":95,"severity":30,"summary":96},"Hooks","Opaque code execution","The provided code (TypeScript) is plain and readable, with no obfuscation techniques like base64 payloads or `eval()`.",{"category":98,"check":99,"severity":30,"summary":100},"Portability","Structural Assumption","The skill uses relative paths for output and assumes the `z-ai-web-dev-sdk` is installed, which is reasonable. No assumptions about complex user project structures are evident.",{"category":102,"check":103,"severity":66,"summary":104},"Trust","Issues Attention","No issue tracker data (opened/closed issues) is available for this specific skill to evaluate maintainer engagement.",{"category":106,"check":107,"severity":108,"summary":109},"Versioning","Release Management","warning","No manifest version (e.g., in SKILL.md frontmatter or package.json) or explicit release tags/changelog were found for this skill, and installation instructions would likely default to 'main'.",{"category":111,"check":112,"severity":30,"summary":113},"Code Execution","Validation","The TypeScript code includes basic validation for image sizes and checks for valid API responses. Error handling for invalid inputs is present.",{"category":72,"check":115,"severity":30,"summary":116},"Unguarded Destructive Operations","The skill's primary operation is generating images, which is not a destructive operation. Saving files is a standard operation without inherently destructive primitives.",{"category":111,"check":118,"severity":30,"summary":119},"Error Handling","The TypeScript scripts include try-catch blocks to handle potential errors during SDK interaction and file writing, providing basic error messages.",{"category":111,"check":121,"severity":122,"summary":123},"Logging","info","The script logs success messages to stdout and errors to stderr. No explicit audit log file is created for actions.",{"category":125,"check":126,"severity":66,"summary":127},"Compliance","GDPR","The skill focuses on image generation from text prompts and does not appear to handle or process personal data.",{"category":125,"check":129,"severity":30,"summary":130},"Target market","The extension is a general-purpose image generation tool with no apparent regional or jurisdictional limitations. The targetMarket is set to 'global'.",{"category":98,"check":132,"severity":30,"summary":133},"Runtime stability","The skill uses standard Node.js modules and the specified SDK, with no apparent assumptions about specific OS features or non-standard shells beyond basic POSIX compatibility.",{"category":46,"check":135,"severity":30,"summary":136},"Precise Purpose","The description clearly defines the purpose (AI image generation via z-ai-web-dev-sdk) and provides specific use cases and limitations (backend only).",{"category":46,"check":138,"severity":30,"summary":139},"Concise Frontmatter","The frontmatter is concise and effectively summarizes the skill's core capability and purpose.",{"category":50,"check":141,"severity":30,"summary":142},"Concise Body","The SKILL.md content is well-structured and avoids excessive length, delegating detailed examples and use cases effectively.",{"category":144,"check":145,"severity":30,"summary":146},"Context","Progressive Disclosure","Detailed code examples and advanced use cases are presented directly in SKILL.md, which is appropriate given the content's nature and length, without requiring external files for basic understanding.",{"category":144,"check":148,"severity":66,"summary":149},"Forked exploration","This skill's primary function is image generation, not deep exploration or code review, so forked exploration is not applicable.",{"category":28,"check":151,"severity":30,"summary":152},"Usage examples","Sufficient end-to-end examples are provided for basic image creation, multiple sizes, CLI usage, batch generation, and service integration, demonstrating concrete inputs and observable outcomes.",{"category":28,"check":154,"severity":30,"summary":155},"Edge cases","The skill documentation addresses edge cases such as unsupported image sizes, invalid prompts, and potential SDK errors, providing solutions like using supported sizes and more descriptive prompts.",{"category":111,"check":157,"severity":66,"summary":158},"Tool Fallback","The skill directly uses the z-ai-web-dev-sdk and does not rely on optional external tools like an MCP server, thus fallback is not applicable.",{"category":98,"check":160,"severity":30,"summary":161},"Stack assumptions","The skill clearly assumes a Node.js environment for its TypeScript code and provides CLI usage instructions for bash-like shells. The runtime is primarily Node.js.",{"category":163,"check":164,"severity":30,"summary":165},"Safety","Halt on unexpected state","The code includes error handling that halts execution and reports issues when unexpected states or API errors occur.",{"category":98,"check":167,"severity":30,"summary":168},"Cross-skill coupling","The skill is self-contained and focuses solely on image generation using its specified SDK. It does not implicitly rely on other skills.",1778054730744,"This skill enables users to generate images from text descriptions using the z-ai-web-dev-sdk, supporting various image sizes and returning base64 encoded images. It also includes a CLI tool for quick generation and provides detailed examples for basic, batch, and service-level integrations.","2.0.0","3.4.0","The extension is a high-quality, well-documented skill for AI image generation. It excels in its problem relevance, unique selling proposition, and production readiness. The code is clean, adheres to single responsibility, and provides comprehensive examples. The only minor finding is the lack of explicit versioning information, which is a common practice but doesn't detract significantly from its overall quality.",95,"A comprehensive and well-documented skill for AI image 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},{},1778054718428,{"descriptionLength":183,"readmeSize":8},372,{},{"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,[],[226,258,286,312,339,367],{"_creationTime":227,"_id":228,"community":229,"display":230,"identity":240,"providers":244,"relations":251,"workflow":253},1777995614337.9844,"k17f0xfg2pkfqd1p5jjzh8sswh8645px",{"reviewCount":8},{"description":231,"installMethods":232,"name":233,"sourceUrl":234,"tags":235},"Scaffold an editable Tandem control panel app",{},"Tandem Panel Scaffold","https://github.com/frumu-ai/tandem/tree/HEAD/packages/create-tandem-panel",[236,18,237,19,238,239],"scaffolding","react","vite","ui",{"githubOwner":241,"githubRepo":242,"locale":24,"slug":243,"type":194},"frumu-ai","tandem","create-tandem-panel",{"extract":245,"llm":248,"smithery":250},{"commitSha":246,"license":247},"25c8ae7c2f8b20d576a2b8d44946ac2e0ff9408d","MIT OR Apache-2.0",{"promptVersionExtension":171,"promptVersionScoring":172,"score":249,"targetMarket":177,"tier":178},100,{"qualityScore":8,"totalActivations":8,"uniqueUsers":8,"useCount":8,"verified":186},{"repoId":252},"kd72pd305er4m7vecv9p6mnd4s865kea",{"anyEnrichmentAt":254,"extractAt":255,"githubAt":256,"llmAt":257,"smitheryAt":254,"updatedAt":257},1777995723550,1777995614338,1777995614791,1777995897177,{"_creationTime":259,"_id":260,"community":261,"display":262,"identity":272,"providers":275,"relations":280,"workflow":282},1778054052548.222,"k17fard3a1kf7n7ybxjexq5k2h866rf5",{"reviewCount":8},{"description":263,"installMethods":264,"name":265,"sourceUrl":266,"tags":267},"Discord adapter for chat",{},"Discord Adapter","https://github.com/vercel/chat/tree/HEAD/packages/adapter-discord",[268,269,270,17,19,271],"discord","adapter","chat","nodejs",{"githubOwner":273,"githubRepo":270,"locale":24,"slug":274,"type":194},"vercel","chat-adapter-discord",{"extract":276,"llm":278},{"commitSha":277,"license":187},"3e4764db4d5c826cd0938cdcd0130d14eb8ed992",{"promptVersionExtension":171,"promptVersionScoring":172,"score":279,"targetMarket":177,"tier":178},98,{"repoId":281},"kd7ds766kaxjjf3s3hr8y7z2t9865yn3",{"anyEnrichmentAt":283,"extractAt":284,"githubAt":283,"llmAt":285,"updatedAt":285},1778054054404,1778054052548,1778054107364,{"_creationTime":287,"_id":288,"community":289,"display":290,"identity":300,"providers":302,"relations":306,"workflow":308},1778053440456.6575,"k17538w4f2s5zz27n2z9d7aqbs866arf",{"reviewCount":8},{"description":291,"installMethods":292,"name":293,"sourceUrl":294,"tags":295},"Build voice AI agents with ElevenLabs. Use when creating voice assistants, customer service bots, interactive voice characters, or any real-time voice conversation experience.",{},"ElevenLabs Agents","https://github.com/elevenlabs/skills/tree/HEAD/agents",[296,297,298,299,17,18],"voice-ai","agents","elevenlabs","conversational-ai",{"githubOwner":298,"githubRepo":301,"locale":24,"slug":297,"type":194},"skills",{"extract":303,"llm":305},{"commitSha":304,"license":187},"b476f0ccf4be0e22b2e77cc39307665425d1472b",{"promptVersionExtension":171,"promptVersionScoring":172,"score":279,"targetMarket":177,"tier":178},{"repoId":307},"kd71z3hz1pg97d1k2d6kaqeqtx864knt",{"anyEnrichmentAt":309,"extractAt":310,"githubAt":309,"llmAt":311,"updatedAt":311},1778053440833,1778053440456,1778053480675,{"_creationTime":313,"_id":314,"community":315,"display":316,"identity":326,"providers":329,"relations":333,"workflow":335},1778053622473.6658,"k17bbjjk7fn3ngqhcnvx7d97y9867yk9",{"reviewCount":8},{"description":317,"installMethods":318,"name":319,"sourceUrl":320,"tags":321},"Build and publish npx-executable CLI tools using Bun as the primary toolchain with npm-compatible output. Use when the user wants to create a new CLI tool, set up a command-line package for npx execution, configure argument parsing and terminal output, or publish a CLI to npm. Covers scaffolding, citty arg parsing, sub-commands, terminal UX, strict TypeScript, Biome + ESLint linting, Vitest testing, Bunup bundling, and publishing workflows. Keywords: npx, cli, command-line, binary, bin, tool, bun, citty, commander, terminal, publish, typescript, biome, vitest.",{},"npx CLI Tool Development (Bun-First)","https://github.com/jwynia/agent-skills/tree/HEAD/skills/tech/development/tooling/npx-cli",[18,322,19,323,236,324,325],"bun","npm","tooling","development",{"githubOwner":327,"githubRepo":193,"locale":24,"slug":328,"type":194},"jwynia","npx-cli",{"extract":330,"llm":332},{"commitSha":331,"license":187},"e02ec7e226a6e4f8419fd3b88a1d8e472d421b32",{"promptVersionExtension":171,"promptVersionScoring":172,"score":279,"targetMarket":177,"tier":178},{"repoId":334},"kd7efn3mprpa8rd8vm5hw5ebzx864fph",{"anyEnrichmentAt":336,"extractAt":337,"githubAt":336,"llmAt":338,"updatedAt":338},1778053625386,1778053622473,1778054012696,{"_creationTime":340,"_id":341,"community":342,"display":343,"identity":353,"providers":357,"relations":361,"workflow":363},1778053045806.3567,"k17e33v4yntn4a3cdb8ky942th867caj",{"reviewCount":8},{"description":344,"installMethods":345,"name":346,"sourceUrl":347,"tags":348},"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",[16,15,349,350,351,352],"video-generation","editing","liblib","python",{"githubOwner":354,"githubRepo":355,"locale":24,"slug":356,"type":194},"libtv-labs","libtv-skills","libtv-skill",{"extract":358,"llm":360},{"commitSha":359,"license":187},"c609246c1eca69f6bc129bcbb5d64c36734e4a4a",{"promptVersionExtension":171,"promptVersionScoring":172,"score":174,"targetMarket":177,"tier":178},{"repoId":362},"kd702p00n7aag2rzaer2dkgx1s864sc0",{"anyEnrichmentAt":364,"extractAt":365,"githubAt":364,"llmAt":366,"updatedAt":366},1778053046121,1778053045806,1778053057670,{"_creationTime":368,"_id":369,"community":370,"display":371,"identity":380,"providers":381,"relations":384,"workflow":385},1778054691785.2568,"k17bcac1ydrsnc05mcyeqxtbns866sjb",{"reviewCount":8},{"description":372,"installMethods":373,"name":374,"sourceUrl":375,"tags":376},"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",[349,16,17,377,378,379],"media","content-creation","z-ai",{"githubOwner":192,"githubRepo":193,"locale":24,"slug":349,"type":194},{"extract":382,"llm":383},{"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}]