[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill-google-cloud-gke-app-onboarding":3,"mdc-ntby49-key":37,"related-repo-google-cloud-gke-app-onboarding":492,"related-org-google-cloud-gke-app-onboarding":582},{"slug":4,"name":4,"fn":5,"description":6,"org":7,"tags":12,"stars":27,"repoUrl":28,"updatedAt":29,"license":30,"forks":31,"topics":32,"repo":33,"sourceUrl":35,"mdContent":36},"gke-app-onboarding","containerize and deploy apps to GKE","Workflows for containerizing and deploying applications to GKE for the first time.",{"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",[13,17,20,23,26],{"name":14,"slug":15,"type":16},"Containers","containers","tag",{"name":18,"slug":19,"type":16},"Onboarding","onboarding",{"name":21,"slug":22,"type":16},"Deployment","deployment",{"name":24,"slug":25,"type":16},"Kubernetes","kubernetes",{"name":9,"slug":8,"type":16},161,"https:\u002F\u002Fgithub.com\u002FGoogleCloudPlatform\u002Fgke-mcp","2026-07-12T07:39:41.935837",null,78,[],{"repoUrl":28,"stars":27,"forks":31,"topics":34,"description":30},[],"https:\u002F\u002Fgithub.com\u002FGoogleCloudPlatform\u002Fgke-mcp\u002Ftree\u002FHEAD\u002Fskills\u002Fgke-app-onboarding","---\nname: gke-app-onboarding\ndescription: Workflows for containerizing and deploying applications to GKE for the first time.\n---\n\n# GKE App Onboarding Skill\n\nThis skill provides workflows for preparing applications that are not yet running on Kubernetes and deploying them to GKE for the first time.\n\n## Workflow\n\n### 1. App Assessment\n\nBefore containerizing, assess the application's requirements:\n\n- **Language & Framework**: Identify the tech stack.\n- **Dependencies**: List required libraries and services.\n- **Configuration**: Determine how the app is configured (e.g., environment variables, config files).\n- **Statefulness**: Identify if the app needs persistent storage (databases, file storage).\n- **Networking**: Determine port mapping and protocol (HTTP, TCP, etc.).\n\n### 2. Containerization\n\nCreate a container image suitable for the application:\n\n- **Dockerfile**: Create a `Dockerfile` in the project root.\n- **Multi-stage Builds**: Recommend multi-stage builds to keep the production image small and secure.\n- **Logging**: Ensure the application logs to `stdout` and `stderr` for proper log collection.\n- **Alternatives**: Consider using **Cloud Native Buildpacks** or **Skaffold** for automated containerization and development workflows without writing Dockerfiles.\n\n### 3. Image Management\n\nBuild and store the container image:\n\n- **Build**: Build the image locally or using a CI\u002FCD pipeline.\n- **Repository**: Push the image to **Google Artifact Registry**.\n- **Vulnerability Scanning**: Enable automatic vulnerability scanning in Artifact Registry to detect security issues in base images and dependencies.\n\n### 4. Manifest Generation\n\nGenerate Kubernetes manifests for the application:\n\n- **Namespace**: Create a dedicated `Namespace` for the application to isolate resources.\n  - **Security**: Label the namespace to enforce Pod Security Standards (e.g., `pod-security.kubernetes.io\u002Fenforce: restricted` and `pod-security.kubernetes.io\u002Fenforce-version: latest`).\n- **ServiceAccount**: Create a dedicated `ServiceAccount` for the application. Avoid using the `default` ServiceAccount to follow the principle of least privilege.\n- **Deployment**: Create a `Deployment` manifest.\n  - Include resource requests and limits.\n  - Configure liveness and readiness probes.\n  - Reference the dedicated `ServiceAccount` using the `serviceAccountName` field.\n- **Service**: Create a Service manifest (e.g., ClusterIP for internal apps, LoadBalancer for external access). For advanced L7 routing, consider using the [Gateway API](..\u002Fgke-networking-edge\u002FSKILL.md).\n\n### 5. Initial Deployment\n\nApply the manifests and verify the deployment:\n\n- **Apply**: Use `kubectl apply -f \u003Cmanifest-file>`.\n- **Verify**: Check pod status with `kubectl get pods` and ensure the service is accessible.\n\n## Next Steps\n\nOnce the application is running, use the [gke-productionize](..\u002Fgke-productionize\u002FSKILL.md) skill to assess its readiness for production.\n",{"data":38,"body":39},{"name":4,"description":6},{"type":40,"children":41},"root",[42,51,57,64,71,76,132,138,143,224,230,235,275,281,286,424,430,435,473,479],{"type":43,"tag":44,"props":45,"children":47},"element","h1",{"id":46},"gke-app-onboarding-skill",[48],{"type":49,"value":50},"text","GKE App Onboarding Skill",{"type":43,"tag":52,"props":53,"children":54},"p",{},[55],{"type":49,"value":56},"This skill provides workflows for preparing applications that are not yet running on Kubernetes and deploying them to GKE for the first time.",{"type":43,"tag":58,"props":59,"children":61},"h2",{"id":60},"workflow",[62],{"type":49,"value":63},"Workflow",{"type":43,"tag":65,"props":66,"children":68},"h3",{"id":67},"_1-app-assessment",[69],{"type":49,"value":70},"1. 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Avoid using the ",{"type":43,"tag":157,"props":351,"children":353},{"className":352},[],[354],{"type":49,"value":355},"default",{"type":49,"value":357}," ServiceAccount to follow the principle of least privilege.",{"type":43,"tag":81,"props":359,"children":360},{},[361,365,366,371,373],{"type":43,"tag":85,"props":362,"children":363},{},[364],{"type":49,"value":21},{"type":49,"value":155},{"type":43,"tag":157,"props":367,"children":369},{"className":368},[],[370],{"type":49,"value":21},{"type":49,"value":372}," manifest.\n",{"type":43,"tag":77,"props":374,"children":375},{},[376,381,386],{"type":43,"tag":81,"props":377,"children":378},{},[379],{"type":49,"value":380},"Include resource requests and limits.",{"type":43,"tag":81,"props":382,"children":383},{},[384],{"type":49,"value":385},"Configure liveness and readiness probes.",{"type":43,"tag":81,"props":387,"children":388},{},[389,391,396,398,404],{"type":49,"value":390},"Reference the dedicated ",{"type":43,"tag":157,"props":392,"children":394},{"className":393},[],[395],{"type":49,"value":341},{"type":49,"value":397}," using the ",{"type":43,"tag":157,"props":399,"children":401},{"className":400},[],[402],{"type":49,"value":403},"serviceAccountName",{"type":49,"value":405}," field.",{"type":43,"tag":81,"props":407,"children":408},{},[409,414,416,423],{"type":43,"tag":85,"props":410,"children":411},{},[412],{"type":49,"value":413},"Service",{"type":49,"value":415},": Create a Service manifest (e.g., ClusterIP for internal apps, LoadBalancer for external access). For advanced L7 routing, consider using the ",{"type":43,"tag":417,"props":418,"children":420},"a",{"href":419},"..\u002Fgke-networking-edge\u002FSKILL.md",[421],{"type":49,"value":422},"Gateway API",{"type":49,"value":264},{"type":43,"tag":65,"props":425,"children":427},{"id":426},"_5-initial-deployment",[428],{"type":49,"value":429},"5. 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Identifies preemption events, maintenance interruptions, bad host VMs, unhealthy pods, and coordinator worker failures.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[525,526,527,528],{"name":511,"slug":512,"type":16},{"name":9,"slug":8,"type":16},{"name":24,"slug":25,"type":16},{"name":529,"slug":530,"type":16},"Observability","observability","2026-07-12T07:40:04.511878",{"slug":533,"name":533,"fn":534,"description":535,"org":536,"tags":537,"stars":27,"repoUrl":28,"updatedAt":548},"gke-ai-troubleshooting-skill-creation-guide","create GKE troubleshooting skill bundles","Expert instructions for building high-quality GKE troubleshooting skills. Codifies Step 0 context rules, zero-hallucination signatures, and explicit LQL\u002FPromQL query requirements.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[538,541,544,545],{"name":539,"slug":540,"type":16},"Documentation","documentation",{"name":542,"slug":543,"type":16},"Engineering","engineering",{"name":9,"slug":8,"type":16},{"name":546,"slug":547,"type":16},"Technical Writing","technical-writing","2026-07-12T07:39:50.73484",{"slug":550,"name":550,"fn":551,"description":552,"org":553,"tags":554,"stars":27,"repoUrl":28,"updatedAt":559},"gke-ai-troubleshooting-tpu-connection-failure-vbar-oom","diagnose GKE TPU connection failures","Diagnose and prevent `vbar_control_agent` segfaults and OOMs caused by race conditions during TPU device resets and frequent metrics collection (e.g. every 3s). Use when TPU slice initialization fails or `vbar_control_agent` crashes on TPU v6e nodes.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[555,556,557,558],{"name":511,"slug":512,"type":16},{"name":9,"slug":8,"type":16},{"name":24,"slug":25,"type":16},{"name":516,"slug":517,"type":16},"2026-07-12T07:39:49.482979",{"slug":4,"name":4,"fn":5,"description":6,"org":561,"tags":562,"stars":27,"repoUrl":28,"updatedAt":29},{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[563,564,565,566,567],{"name":14,"slug":15,"type":16},{"name":21,"slug":22,"type":16},{"name":9,"slug":8,"type":16},{"name":24,"slug":25,"type":16},{"name":18,"slug":19,"type":16},{"slug":569,"name":569,"fn":570,"description":571,"org":572,"tags":573,"stars":27,"repoUrl":28,"updatedAt":580},"gke-backup-dr","configure GKE backup and disaster recovery","Workflows for configuring Backup for GKE and disaster recovery.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[574,575,576,577],{"name":21,"slug":22,"type":16},{"name":9,"slug":8,"type":16},{"name":24,"slug":25,"type":16},{"name":578,"slug":579,"type":16},"Operations","operations","2026-07-12T07:39:34.806995",25,{"items":583,"total":764},[584,600,616,636,650,659,673,690,707,720,736,746],{"slug":585,"name":585,"fn":586,"description":587,"org":588,"tags":589,"stars":597,"repoUrl":598,"updatedAt":599},"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},[590,591,594],{"name":539,"slug":540,"type":16},{"name":592,"slug":593,"type":16},"Knowledge Base","knowledge-base",{"name":595,"slug":596,"type":16},"Search","search",6749,"https:\u002F\u002Fgithub.com\u002FGoogleCloudPlatform\u002Fknowledge-catalog","2026-07-12T07:38:52.157375",{"slug":601,"name":602,"fn":603,"description":604,"org":605,"tags":606,"stars":597,"repoUrl":598,"updatedAt":615},"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},[607,610,611,614],{"name":608,"slug":609,"type":16},"Data Analysis","data-analysis",{"name":9,"slug":8,"type":16},{"name":612,"slug":613,"type":16},"Knowledge Management","knowledge-management",{"name":595,"slug":596,"type":16},"2026-07-12T07:38:22.196851",{"slug":617,"name":617,"fn":618,"description":619,"org":620,"tags":621,"stars":633,"repoUrl":634,"updatedAt":635},"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},[622,625,626,629,630],{"name":623,"slug":624,"type":16},"Automation","automation",{"name":542,"slug":543,"type":16},{"name":627,"slug":628,"type":16},"GitHub","github",{"name":9,"slug":8,"type":16},{"name":631,"slug":632,"type":16},"Pull Requests","pull-requests",2062,"https:\u002F\u002Fgithub.com\u002FGoogleCloudPlatform\u002Fcloud-foundation-fabric","2026-07-31T06:23:36.935005",{"slug":637,"name":637,"fn":638,"description":639,"org":640,"tags":641,"stars":633,"repoUrl":634,"updatedAt":649},"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},[642,643,646],{"name":9,"slug":8,"type":16},{"name":644,"slug":645,"type":16},"Infrastructure as Code","infrastructure-as-code",{"name":647,"slug":648,"type":16},"Terraform","terraform","2026-07-12T07:38:23.514555",{"slug":651,"name":651,"fn":652,"description":653,"org":654,"tags":655,"stars":633,"repoUrl":634,"updatedAt":658},"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},[656,657],{"name":9,"slug":8,"type":16},{"name":578,"slug":579,"type":16},"2026-07-12T07:38:28.127148",{"slug":660,"name":660,"fn":661,"description":662,"org":663,"tags":664,"stars":670,"repoUrl":671,"updatedAt":672},"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},[665,668,669],{"name":666,"slug":667,"type":16},"CLI","cli",{"name":542,"slug":543,"type":16},{"name":9,"slug":8,"type":16},1150,"https:\u002F\u002Fgithub.com\u002FGoogleCloudPlatform\u002Fvertex-ai-creative-studio","2026-07-12T07:39:08.41406",{"slug":674,"name":674,"fn":675,"description":676,"org":677,"tags":678,"stars":670,"repoUrl":671,"updatedAt":689},"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},[679,682,683,686],{"name":680,"slug":681,"type":16},"API Development","api-development",{"name":9,"slug":8,"type":16},{"name":684,"slug":685,"type":16},"LLM","llm",{"name":687,"slug":688,"type":16},"MCP","mcp","2026-07-12T07:39:10.911302",{"slug":691,"name":691,"fn":692,"description":693,"org":694,"tags":695,"stars":670,"repoUrl":671,"updatedAt":706},"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},[696,699,702,703],{"name":697,"slug":698,"type":16},"Audio","audio",{"name":700,"slug":701,"type":16},"Creative","creative",{"name":9,"slug":8,"type":16},{"name":704,"slug":705,"type":16},"Vertex AI","vertex-ai","2026-07-12T07:39:16.623879",{"slug":708,"name":708,"fn":709,"description":710,"org":711,"tags":712,"stars":670,"repoUrl":671,"updatedAt":719},"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},[713,714,715,718],{"name":700,"slug":701,"type":16},{"name":9,"slug":8,"type":16},{"name":716,"slug":717,"type":16},"Image Generation","image-generation",{"name":704,"slug":705,"type":16},"2026-07-12T07:39:15.372822",{"slug":721,"name":721,"fn":722,"description":723,"org":724,"tags":725,"stars":670,"repoUrl":671,"updatedAt":735},"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},[726,727,728,729,732],{"name":697,"slug":698,"type":16},{"name":700,"slug":701,"type":16},{"name":9,"slug":8,"type":16},{"name":730,"slug":731,"type":16},"Media","media",{"name":733,"slug":734,"type":16},"Video","video","2026-07-12T07:39:09.672849",{"slug":737,"name":737,"fn":738,"description":739,"org":740,"tags":741,"stars":670,"repoUrl":671,"updatedAt":745},"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},[742,743,744],{"name":700,"slug":701,"type":16},{"name":9,"slug":8,"type":16},{"name":733,"slug":734,"type":16},"2026-07-12T07:39:13.749081",{"slug":747,"name":747,"fn":748,"description":749,"org":750,"tags":751,"stars":670,"repoUrl":671,"updatedAt":763},"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},[752,753,754,757,760],{"name":697,"slug":698,"type":16},{"name":700,"slug":701,"type":16},{"name":755,"slug":756,"type":16},"Gemini","gemini",{"name":758,"slug":759,"type":16},"Speech","speech",{"name":761,"slug":762,"type":16},"Text-to-Speech","text-to-speech","2026-07-12T07:39:17.86673",80]