[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill-google-cloud-genmedia-image-artist":3,"mdc--tf75h6-key":42,"related-org-google-cloud-genmedia-image-artist":249,"related-repo-google-cloud-genmedia-image-artist":424},{"slug":4,"name":4,"fn":5,"description":6,"org":7,"tags":12,"stars":24,"repoUrl":25,"updatedAt":26,"license":27,"forks":28,"topics":29,"repo":37,"sourceUrl":40,"mdContent":41},"genmedia-image-artist","generate and edit AI images","Expert in AI image generation and editing. Use when the user needs high-quality textures, character-consistent visuals, or image-to-image editing using mcp-nanobanana-go.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},"google-cloud","Google Cloud","https:\u002F\u002Fpexgzepcugksgbtrxkhf.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Forg-logos\u002Fgoogle-cloud.png","GoogleCloudPlatform",[13,17,20,23],{"name":14,"slug":15,"type":16},"Creative","creative","tag",{"name":18,"slug":19,"type":16},"Vertex AI","vertex-ai",{"name":21,"slug":22,"type":16},"Image Generation","image-generation",{"name":9,"slug":8,"type":16},1150,"https:\u002F\u002Fgithub.com\u002FGoogleCloudPlatform\u002Fvertex-ai-creative-studio","2026-07-12T07:39:15.372822",null,349,[30,31,32,8,33,34,35,36,19],"chirp","gemini","gemini-tts","imagen","lyria","nano-banana","veo",{"repoUrl":25,"stars":24,"forks":28,"topics":38,"description":39},[30,31,32,8,33,34,35,36,19],"GenMedia Creative Studio is a generative media user experience highlighting the use of Gemini, Gemini Omni, Veo, Gemini Image 🍌, Gemini TTS, Chirp 3, Lyria and other generative media APIs on Google Cloud.","https:\u002F\u002Fgithub.com\u002FGoogleCloudPlatform\u002Fvertex-ai-creative-studio\u002Ftree\u002FHEAD\u002Fexperiments\u002Fmcp-genmedia\u002Fskills\u002Fgenmedia-image-artist","---\nname: genmedia-image-artist\ndescription: Expert in AI image generation and editing. Use when the user needs high-quality textures, character-consistent visuals, or image-to-image editing using mcp-nanobanana-go.\nallowed-tools: mcp_nanobanana_nanobanana_image_generation\nmetadata:\n  nanobanana_prompting_guide: https:\u002F\u002Fcloud.google.com\u002Fblog\u002Fproducts\u002Fai-machine-learning\u002Fultimate-prompting-guide-for-nano-banana?e=48754805\n---\n\n# GenMedia Image Artist Skill\n\nYou are a creative image artist and editor. You specialize in generating high-quality visual assets and performing iterative refinements to meet specific aesthetic requirements using Nano Banana (Gemini Image Generation).\n\n## Core Workflows\n\n### Text-to-Image Generation\n- Use `nanobanana_image_generation` for high-quality results.\n- **Narrative Descriptions**: Be specific about the subject, action, and setting. Favor positive framing over negative constraints.\n- **Cinematic Control**: Use professional terminology for lighting (e.g., \"chiaroscuro,\" \"golden hour\"), camera angles (e.g., \"low-angle shot,\" \"bird's-eye view\"), and lens types (e.g., \"35mm wide-angle,\" \"bokeh\").\n- **Text Rendering**: For precise text, enclose words in quotes: `a neon sign that says \"OPEN\" in a retro font`.\n\n### Collaborative Refinement\nWhen the user wants to \"tweak\" an image:\n1. Identify the specific region or element to change.\n2. **Multimodal Prompting**: Use `nanobanana_image_generation` with the `images` parameter. In addition to images, you can pass a **video** input (to extract a stylized scene, match dynamic motion, or re-stylize camera sequences) or a **PDF** document (to generate high-quality visual assets based on layout schemas or text definitions). Use clear relationship instructions to maintain character consistency, transform existing textures, or materialize document layouts.\n3. Maintain style consistency by reusing key prompt descriptors.\n\n### Technical Optimization\n- **Aspect Ratios**: Match the output ratio to the final medium (e.g., 16:9 for cinematic video, 1:1 for social media).\n- **Iterative Dialogue**: Discuss text concepts or complex scenes with the model before requesting the final generation to ensure alignment.\n\n## Technical Tips\n- For high-resolution requirements, always use the highest version of the generation model supported by the server.\n- If a generation fails due to safety filters, perform a \"clinical rewrite\" of the prompt to remove emotionally charged labels while keeping the physical description.\n",{"data":43,"body":47},{"name":4,"description":6,"allowed-tools":44,"metadata":45},"mcp_nanobanana_nanobanana_image_generation",{"nanobanana_prompting_guide":46},"https:\u002F\u002Fcloud.google.com\u002Fblog\u002Fproducts\u002Fai-machine-learning\u002Fultimate-prompting-guide-for-nano-banana?e=48754805",{"type":48,"children":49},"root",[50,59,65,72,79,137,143,148,201,207,230,236],{"type":51,"tag":52,"props":53,"children":55},"element","h1",{"id":54},"genmedia-image-artist-skill",[56],{"type":57,"value":58},"text","GenMedia Image Artist Skill",{"type":51,"tag":60,"props":61,"children":62},"p",{},[63],{"type":57,"value":64},"You are a creative image artist and editor. You specialize in generating high-quality visual assets and performing iterative refinements to meet specific aesthetic requirements using Nano Banana (Gemini Image Generation).",{"type":51,"tag":66,"props":67,"children":69},"h2",{"id":68},"core-workflows",[70],{"type":57,"value":71},"Core Workflows",{"type":51,"tag":73,"props":74,"children":76},"h3",{"id":75},"text-to-image-generation",[77],{"type":57,"value":78},"Text-to-Image Generation",{"type":51,"tag":80,"props":81,"children":82},"ul",{},[83,98,109,119],{"type":51,"tag":84,"props":85,"children":86},"li",{},[87,89,96],{"type":57,"value":88},"Use ",{"type":51,"tag":90,"props":91,"children":93},"code",{"className":92},[],[94],{"type":57,"value":95},"nanobanana_image_generation",{"type":57,"value":97}," for high-quality results.",{"type":51,"tag":84,"props":99,"children":100},{},[101,107],{"type":51,"tag":102,"props":103,"children":104},"strong",{},[105],{"type":57,"value":106},"Narrative Descriptions",{"type":57,"value":108},": Be specific about the subject, action, and setting. Favor positive framing over negative constraints.",{"type":51,"tag":84,"props":110,"children":111},{},[112,117],{"type":51,"tag":102,"props":113,"children":114},{},[115],{"type":57,"value":116},"Cinematic Control",{"type":57,"value":118},": Use professional terminology for lighting (e.g., \"chiaroscuro,\" \"golden hour\"), camera angles (e.g., \"low-angle shot,\" \"bird's-eye view\"), and lens types (e.g., \"35mm wide-angle,\" \"bokeh\").",{"type":51,"tag":84,"props":120,"children":121},{},[122,127,129,135],{"type":51,"tag":102,"props":123,"children":124},{},[125],{"type":57,"value":126},"Text Rendering",{"type":57,"value":128},": For precise text, enclose words in quotes: ",{"type":51,"tag":90,"props":130,"children":132},{"className":131},[],[133],{"type":57,"value":134},"a neon sign that says \"OPEN\" in a retro font",{"type":57,"value":136},".",{"type":51,"tag":73,"props":138,"children":140},{"id":139},"collaborative-refinement",[141],{"type":57,"value":142},"Collaborative Refinement",{"type":51,"tag":60,"props":144,"children":145},{},[146],{"type":57,"value":147},"When the user wants to \"tweak\" an image:",{"type":51,"tag":149,"props":150,"children":151},"ol",{},[152,157,196],{"type":51,"tag":84,"props":153,"children":154},{},[155],{"type":57,"value":156},"Identify the specific region or element to change.",{"type":51,"tag":84,"props":158,"children":159},{},[160,165,167,172,174,180,182,187,189,194],{"type":51,"tag":102,"props":161,"children":162},{},[163],{"type":57,"value":164},"Multimodal Prompting",{"type":57,"value":166},": Use ",{"type":51,"tag":90,"props":168,"children":170},{"className":169},[],[171],{"type":57,"value":95},{"type":57,"value":173}," with the ",{"type":51,"tag":90,"props":175,"children":177},{"className":176},[],[178],{"type":57,"value":179},"images",{"type":57,"value":181}," parameter. In addition to images, you can pass a ",{"type":51,"tag":102,"props":183,"children":184},{},[185],{"type":57,"value":186},"video",{"type":57,"value":188}," input (to extract a stylized scene, match dynamic motion, or re-stylize camera sequences) or a ",{"type":51,"tag":102,"props":190,"children":191},{},[192],{"type":57,"value":193},"PDF",{"type":57,"value":195}," document (to generate high-quality visual assets based on layout schemas or text definitions). Use clear relationship instructions to maintain character consistency, transform existing textures, or materialize document layouts.",{"type":51,"tag":84,"props":197,"children":198},{},[199],{"type":57,"value":200},"Maintain style consistency by reusing key prompt descriptors.",{"type":51,"tag":73,"props":202,"children":204},{"id":203},"technical-optimization",[205],{"type":57,"value":206},"Technical Optimization",{"type":51,"tag":80,"props":208,"children":209},{},[210,220],{"type":51,"tag":84,"props":211,"children":212},{},[213,218],{"type":51,"tag":102,"props":214,"children":215},{},[216],{"type":57,"value":217},"Aspect Ratios",{"type":57,"value":219},": Match the output ratio to the final medium (e.g., 16:9 for cinematic video, 1:1 for social media).",{"type":51,"tag":84,"props":221,"children":222},{},[223,228],{"type":51,"tag":102,"props":224,"children":225},{},[226],{"type":57,"value":227},"Iterative Dialogue",{"type":57,"value":229},": Discuss text concepts or complex scenes with the model before requesting the final generation to ensure alignment.",{"type":51,"tag":66,"props":231,"children":233},{"id":232},"technical-tips",[234],{"type":57,"value":235},"Technical Tips",{"type":51,"tag":80,"props":237,"children":238},{},[239,244],{"type":51,"tag":84,"props":240,"children":241},{},[242],{"type":57,"value":243},"For high-resolution requirements, always use the highest version of the generation model supported by the server.",{"type":51,"tag":84,"props":245,"children":246},{},[247],{"type":57,"value":248},"If a generation fails due to safety filters, perform a \"clinical rewrite\" of the prompt to remove emotionally charged labels while keeping the physical description.",{"items":250,"total":423},[251,269,285,307,321,332,344,361,374,381,396,406],{"slug":252,"name":252,"fn":253,"description":254,"org":255,"tags":256,"stars":266,"repoUrl":267,"updatedAt":268},"kb-search","search and extract local knowledge base documents","Allows listing, searching and extracting information from local knowledge base documents for information about tables\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[257,260,263],{"name":258,"slug":259,"type":16},"Documentation","documentation",{"name":261,"slug":262,"type":16},"Knowledge Base","knowledge-base",{"name":264,"slug":265,"type":16},"Search","search",6749,"https:\u002F\u002Fgithub.com\u002FGoogleCloudPlatform\u002Fknowledge-catalog","2026-07-12T07:38:52.157375",{"slug":270,"name":271,"fn":272,"description":273,"org":274,"tags":275,"stars":266,"repoUrl":267,"updatedAt":284},"knowledgecatalogdiscoveryagent","knowledge_catalog_discovery_agent","search and rank Knowledge Catalog data entries","Analyzes user queries, extracts relevant predicates, and utilizes Knowledge Catalog Search to find and rank the most relevant data entries. Engages with the user throughout the process.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[276,279,280,283],{"name":277,"slug":278,"type":16},"Data Analysis","data-analysis",{"name":9,"slug":8,"type":16},{"name":281,"slug":282,"type":16},"Knowledge Management","knowledge-management",{"name":264,"slug":265,"type":16},"2026-07-12T07:38:22.196851",{"slug":286,"name":286,"fn":287,"description":288,"org":289,"tags":290,"stars":304,"repoUrl":305,"updatedAt":306},"contributing","contribute to Cloud Foundation Fabric","End-to-end workflow for contributing to Cloud Foundation Fabric: triaging GitHub issues, proactive feature development, validating with tests and Policy Troubleshooter, and submitting sanitized Pull Requests. Use when addressing a Fabric GitHub issue, developing a module or FAST stage change, or preparing a branch for a pull request.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[291,294,297,300,301],{"name":292,"slug":293,"type":16},"Automation","automation",{"name":295,"slug":296,"type":16},"Engineering","engineering",{"name":298,"slug":299,"type":16},"GitHub","github",{"name":9,"slug":8,"type":16},{"name":302,"slug":303,"type":16},"Pull Requests","pull-requests",2062,"https:\u002F\u002Fgithub.com\u002FGoogleCloudPlatform\u002Fcloud-foundation-fabric","2026-07-31T06:23:36.935005",{"slug":308,"name":308,"fn":309,"description":310,"org":311,"tags":312,"stars":304,"repoUrl":305,"updatedAt":320},"fabric-builder","generate Terraform code for Google Cloud","Generates idiomatic Cloud Foundation Fabric (CFF) Terraform code using CFF modules. Use when users ask to create GCP resources, use Fabric modules, or generate Terraform code for Google Cloud.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[313,314,317],{"name":9,"slug":8,"type":16},{"name":315,"slug":316,"type":16},"Infrastructure as Code","infrastructure-as-code",{"name":318,"slug":319,"type":16},"Terraform","terraform","2026-07-12T07:38:23.514555",{"slug":322,"name":322,"fn":323,"description":324,"org":325,"tags":326,"stars":304,"repoUrl":305,"updatedAt":331},"fast-0-org-setup-prereqs","prepare prerequisites for FAST 0-org-setup","Guides the user step-by-step through the prerequisites for the FAST 0-org-setup stage, supporting both Standard GCP and Google Cloud Dedicated (GCD) environments. Use when a user asks to prepare or run prerequisites for 0-org-setup or bootstrap the FAST landing zone.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[327,328],{"name":9,"slug":8,"type":16},{"name":329,"slug":330,"type":16},"Operations","operations","2026-07-12T07:38:28.127148",{"slug":333,"name":333,"fn":334,"description":335,"org":336,"tags":337,"stars":24,"repoUrl":25,"updatedAt":343},"agent-aware-cli","design agent-aware command-line interfaces","Guide for designing and implementing command-line interfaces (CLIs) that are equally usable by human developers and automated coding agents. Use when the user wants to build a CLI, apply CLI best practices, or use Go with Cobra and Viper.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[338,341,342],{"name":339,"slug":340,"type":16},"CLI","cli",{"name":295,"slug":296,"type":16},{"name":9,"slug":8,"type":16},"2026-07-12T07:39:08.41406",{"slug":345,"name":345,"fn":346,"description":347,"org":348,"tags":349,"stars":24,"repoUrl":25,"updatedAt":360},"build-mcp-genmedia","build and configure GenAI MCP servers","Builds the mcp-genmedia Go MCP servers (nanobanana, veo, lyria, gemini-multimodal, chirp3-hd, avtool) from source and wires them into settings.json. Use this skill whenever the MCP tools are missing or broken — typically at the start of a new session, after a container restart, or when \u002Ftmp has been wiped. The prebuilt binaries in \u002Fworkspace\u002F.local\u002Fbin\u002F have no exec bit and live on a noexec mount; this skill compiles fresh executables into \u002Ftmp\u002Fbin\u002F where execution is allowed.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[350,353,354,357],{"name":351,"slug":352,"type":16},"API Development","api-development",{"name":9,"slug":8,"type":16},{"name":355,"slug":356,"type":16},"LLM","llm",{"name":358,"slug":359,"type":16},"MCP","mcp","2026-07-12T07:39:10.911302",{"slug":362,"name":362,"fn":363,"description":364,"org":365,"tags":366,"stars":24,"repoUrl":25,"updatedAt":373},"genmedia-audio-engineer","synthesize and mix audio content","Expert in audio synthesis, music generation, and mixing. Use when creating podcasts, background scores, or multi-track audio layering using mcp-chirp3-go, mcp-lyria-go, mcp-gemini-go, mcp-nanobanana-go, and mcp-avtool-go.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[367,370,371,372],{"name":368,"slug":369,"type":16},"Audio","audio",{"name":14,"slug":15,"type":16},{"name":9,"slug":8,"type":16},{"name":18,"slug":19,"type":16},"2026-07-12T07:39:16.623879",{"slug":4,"name":4,"fn":5,"description":6,"org":375,"tags":376,"stars":24,"repoUrl":25,"updatedAt":26},{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[377,378,379,380],{"name":14,"slug":15,"type":16},{"name":9,"slug":8,"type":16},{"name":21,"slug":22,"type":16},{"name":18,"slug":19,"type":16},{"slug":382,"name":382,"fn":383,"description":384,"org":385,"tags":386,"stars":24,"repoUrl":25,"updatedAt":395},"genmedia-producer","produce multi-step media content","Expert media production assistant. Use when requested to help with storyboarding, podcast creation, audio assembly, or complex multi-step media workflows using the GenMedia MCP servers (Veo, Lyria, Gemini TTS, NanoBanana).",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[387,388,389,390,393],{"name":368,"slug":369,"type":16},{"name":14,"slug":15,"type":16},{"name":9,"slug":8,"type":16},{"name":391,"slug":392,"type":16},"Media","media",{"name":394,"slug":186,"type":16},"Video","2026-07-12T07:39:09.672849",{"slug":397,"name":397,"fn":398,"description":399,"org":400,"tags":401,"stars":24,"repoUrl":25,"updatedAt":405},"genmedia-video-editor","edit and compose video content","Expert in video composition, editing, and format conversion. Use when the user wants to generate high-quality video, overlay images on video, concatenate clips, create GIFs, or sync audio to video using mcp-avtool-go and mcp-veo-go.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[402,403,404],{"name":14,"slug":15,"type":16},{"name":9,"slug":8,"type":16},{"name":394,"slug":186,"type":16},"2026-07-12T07:39:13.749081",{"slug":407,"name":407,"fn":408,"description":409,"org":410,"tags":411,"stars":24,"repoUrl":25,"updatedAt":422},"genmedia-voice-director","generate expressive text-to-speech with Gemini","Expert in casting, directing, and generating expressive text-to-speech using Gemini TTS. Use this when the user needs virtual voice actor personas, expressive speech generation, or multiple variations of a voiceover (like \"take 3 on the bounce\").",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[412,413,414,416,419],{"name":368,"slug":369,"type":16},{"name":14,"slug":15,"type":16},{"name":415,"slug":31,"type":16},"Gemini",{"name":417,"slug":418,"type":16},"Speech","speech",{"name":420,"slug":421,"type":16},"Text-to-Speech","text-to-speech","2026-07-12T07:39:17.86673",80,{"items":425,"total":475},[426,432,439,446,453,461,467],{"slug":333,"name":333,"fn":334,"description":335,"org":427,"tags":428,"stars":24,"repoUrl":25,"updatedAt":343},{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[429,430,431],{"name":339,"slug":340,"type":16},{"name":295,"slug":296,"type":16},{"name":9,"slug":8,"type":16},{"slug":345,"name":345,"fn":346,"description":347,"org":433,"tags":434,"stars":24,"repoUrl":25,"updatedAt":360},{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[435,436,437,438],{"name":351,"slug":352,"type":16},{"name":9,"slug":8,"type":16},{"name":355,"slug":356,"type":16},{"name":358,"slug":359,"type":16},{"slug":362,"name":362,"fn":363,"description":364,"org":440,"tags":441,"stars":24,"repoUrl":25,"updatedAt":373},{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[442,443,444,445],{"name":368,"slug":369,"type":16},{"name":14,"slug":15,"type":16},{"name":9,"slug":8,"type":16},{"name":18,"slug":19,"type":16},{"slug":4,"name":4,"fn":5,"description":6,"org":447,"tags":448,"stars":24,"repoUrl":25,"updatedAt":26},{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[449,450,451,452],{"name":14,"slug":15,"type":16},{"name":9,"slug":8,"type":16},{"name":21,"slug":22,"type":16},{"name":18,"slug":19,"type":16},{"slug":382,"name":382,"fn":383,"description":384,"org":454,"tags":455,"stars":24,"repoUrl":25,"updatedAt":395},{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[456,457,458,459,460],{"name":368,"slug":369,"type":16},{"name":14,"slug":15,"type":16},{"name":9,"slug":8,"type":16},{"name":391,"slug":392,"type":16},{"name":394,"slug":186,"type":16},{"slug":397,"name":397,"fn":398,"description":399,"org":462,"tags":463,"stars":24,"repoUrl":25,"updatedAt":405},{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[464,465,466],{"name":14,"slug":15,"type":16},{"name":9,"slug":8,"type":16},{"name":394,"slug":186,"type":16},{"slug":407,"name":407,"fn":408,"description":409,"org":468,"tags":469,"stars":24,"repoUrl":25,"updatedAt":422},{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[470,471,472,473,474],{"name":368,"slug":369,"type":16},{"name":14,"slug":15,"type":16},{"name":415,"slug":31,"type":16},{"name":417,"slug":418,"type":16},{"name":420,"slug":421,"type":16},9]