[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M71FTDQKWFPRGD0BSVDKF41T":3,"skill-same:01M71FTDQKWFPRGD0BSVDKF41T":84},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":15,"categories":16,"keywords":22,"publishedAt":43,"linkOnly":44,"markdownContent":45,"markdownBody":46,"frontMatter":47,"refName":57,"commitSha":58,"skillDirectory":59,"forksCount":60,"repositoryHtmlUrl":61,"repositoryHomepageUrl":6,"ownerHtmlUrl":62,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":63,"install":64,"resources":77},"01M71FTDQKWFPRGD0BSVDKF41T","genkit-infra-expert",null,"Use when deploying Genkit applications to production with Terraform. Trigger with phrases like \"deploy genkit terraform\", \"provision genkit infrastructure\", \"firebase functions terraform\", \"cloud run deployment\", or \"genkit production infrastructure\". Provisions Firebase Functions, Cloud Run services, GKE clusters, monitoring dashboards, and CI\u002FCD for AI workflows.","JSGforever\u002Fskillguard","JSGforever","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F85541948?v=4","01M71FQD3E132VMR5F4TAYX3YS","01M71FQD4DYW0XJ4XQ4YQH75Y9",2,"MIT","https:\u002F\u002Fgithub.com\u002FJSGforever\u002Fskillguard\u002Fblob\u002Fmain\u002Fbenchmarks\u002Ffinal\u002Fskills\u002Fasset1__BbgnsurfTech--genkit-infra-expert\u002FSKILL.md",[17],{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000011","运维与部署","SCENARIO","使用场景",[23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42],"infra","expert","genkit","genkit infra expert","use","when","cloud run","for","with","trigger","functions","gcloud","Bash","applications","firebase","services","ci","monitoring","deployment","workflows","2026-11-10 10:12:30",false,"---\ndescription: Use when deploying Genkit applications to production with Terraform. Trigger with phrases like \"deploy genkit terraform\", \"provision genkit infrastructure\", \"firebase functions terraform\", \"cloud run deployment\", or \"genkit production infrastructure\". Provisions Firebase Functions, Cloud Run services, GKE clusters, monitoring dashboards, and CI\u002FCD for AI workflows.\nallowed-tools:\n- Read\n- Write\n- Edit\n- Grep\n- Glob\n- Bash(terraform:*)\n- Bash(gcloud:*)\nname: genkit-infra-expert\nlicense: MIT\nversion: 1.0.0\n---\n\n## Prerequisites\n\nBefore using this skill, ensure:\n- Google Cloud project with Firebase enabled\n- Terraform 1.0+ installed\n- gcloud and firebase CLI authenticated\n- Genkit application built and containerized\n- API keys for Gemini or other AI models\n- Understanding of Genkit flows and deployment options\n\n## Instructions\n\n1. **Choose Deployment Target**: Firebase Functions, Cloud Run, or GKE\n2. **Configure Terraform Backend**: Set up remote state in GCS\n3. **Define Variables**: Project ID, region, Genkit app configuration\n4. **Provision Compute**: Deploy functions or containers\n5. **Configure Secrets**: Store API keys in Secret Manager\n6. **Set Up Monitoring**: Create dashboards for token usage and latency\n7. **Enable Auto-scaling**: Configure min\u002Fmax instances\n8. **Validate Deployment**: Test Genkit flows via HTTP endpoints\n\n## Output\n\n**Firebase Functions:**\n```hcl\n# {baseDir}\u002Fterraform\u002Ffunctions.tf\nresource \"google_cloudfunctions2_function\" \"genkit_function\" {\n  name     = \"genkit-ai-flow\"\n  location = var.region\n\n  build_config {\n    runtime     = \"nodejs20\"\n    entry_point = \"genkitFlow\"\n  }\n\n  service_config {\n    max_instance_count = 100\n    available_memory   = \"512Mi\"\n    timeout_seconds    = 300\n  }\n}\n```\n\n**Cloud Run Service:**\n```hcl\nresource \"google_cloud_run_v2_service\" \"genkit_service\" {\n  name     = \"genkit-api\"\n  location = var.region\n\n  template {\n    scaling {\n      min_instance_count = 1\n      max_instance_count = 10\n    }\n    containers {\n      image = \"gcr.io\u002F${var.project_id}\u002Fgenkit-app:latest\"\n      resources {\n        limits = {\n          cpu = \"2\"\n          memory = \"1Gi\"\n        }\n      }\n    }\n  }\n}\n```\n\n## Error Handling\n\n**Build Failures**\n- Error: \"Cloud Function build failed\"\n- Solution: Check package.json dependencies and Node.js runtime version\n\n**Cold Start Latency**\n- Warning: \"High latency on first request\"\n- Solution: Set min_instance_count >= 1 to keep warm instances\n\n**Secret Access Denied**\n- Error: \"Permission denied accessing secret\"\n- Solution: Grant secretAccessor role to Cloud Run\u002FFunctions service account\n\n**Memory Exceeded**\n- Error: \"Container killed: out of memory\"\n- Solution: Increase available_memory or optimize Genkit flow memory usage\n\n## Resources\n\n- Genkit Deployment: https:\u002F\u002Fgenkit.dev\u002Fdocs\u002Fdeployment\n- Firebase Terraform: https:\u002F\u002Fregistry.terraform.io\u002Fproviders\u002Fhashicorp\u002Fgoogle\u002Flatest\n- Genkit examples in {baseDir}\u002Fgenkit-examples\u002F\n","## Prerequisites\n\nBefore using this skill, ensure:\n- Google Cloud project with Firebase enabled\n- Terraform 1.0+ installed\n- gcloud and firebase CLI authenticated\n- Genkit application built and containerized\n- API keys for Gemini or other AI models\n- Understanding of Genkit flows and deployment options\n\n## Instructions\n\n1. **Choose Deployment Target**: Firebase Functions, Cloud Run, or GKE\n2. **Configure Terraform Backend**: Set up remote state in GCS\n3. **Define Variables**: Project ID, region, Genkit app configuration\n4. **Provision Compute**: Deploy functions or containers\n5. **Configure Secrets**: Store API keys in Secret Manager\n6. **Set Up Monitoring**: Create dashboards for token usage and latency\n7. **Enable Auto-scaling**: Configure min\u002Fmax instances\n8. **Validate Deployment**: Test Genkit flows via HTTP endpoints\n\n## Output\n\n**Firebase Functions:**\n```hcl\n# {baseDir}\u002Fterraform\u002Ffunctions.tf\nresource \"google_cloudfunctions2_function\" \"genkit_function\" {\n  name     = \"genkit-ai-flow\"\n  location = var.region\n\n  build_config {\n    runtime     = \"nodejs20\"\n    entry_point = \"genkitFlow\"\n  }\n\n  service_config {\n    max_instance_count = 100\n    available_memory   = \"512Mi\"\n    timeout_seconds    = 300\n  }\n}\n```\n\n**Cloud Run Service:**\n```hcl\nresource \"google_cloud_run_v2_service\" \"genkit_service\" {\n  name     = \"genkit-api\"\n  location = var.region\n\n  template {\n    scaling {\n      min_instance_count = 1\n      max_instance_count = 10\n    }\n    containers {\n      image = \"gcr.io\u002F${var.project_id}\u002Fgenkit-app:latest\"\n      resources {\n        limits = {\n          cpu = \"2\"\n          memory = \"1Gi\"\n        }\n      }\n    }\n  }\n}\n```\n\n## Error Handling\n\n**Build Failures**\n- Error: \"Cloud Function build failed\"\n- Solution: Check package.json dependencies and Node.js runtime version\n\n**Cold Start Latency**\n- Warning: \"High latency on first request\"\n- Solution: Set min_instance_count >= 1 to keep warm instances\n\n**Secret Access Denied**\n- Error: \"Permission denied accessing secret\"\n- Solution: Grant secretAccessor role to Cloud Run\u002FFunctions service account\n\n**Memory Exceeded**\n- Error: \"Container killed: out of memory\"\n- Solution: Increase available_memory or optimize Genkit flow memory usage\n\n## Resources\n\n- Genkit Deployment: https:\u002F\u002Fgenkit.dev\u002Fdocs\u002Fdeployment\n- Firebase Terraform: https:\u002F\u002Fregistry.terraform.io\u002Fproviders\u002Fhashicorp\u002Fgoogle\u002Flatest\n- Genkit examples in {baseDir}\u002Fgenkit-examples\u002F\n",{"name":5,"license":14,"version":48,"description":7,"allowed-tools":49},"1.0.0",[50,51,52,53,54,55,56],"Read","Write","Edit","Grep","Glob","Bash(terraform:*)","Bash(gcloud:*)","main","f2ec4b3b9133d34eeaf9b38e4b0a97e8e5705a7f","benchmarks\u002Ffinal\u002Fskills\u002Fasset1__BbgnsurfTech--genkit-infra-expert",0,"https:\u002F\u002Fgithub.com\u002FJSGforever\u002Fskillguard","https:\u002F\u002Fgithub.com\u002FJSGforever","2026-08-29 18:27:56",{"source":8,"skillName":5,"commands":65,"prompt":75,"zipAvailable":76},[66,69,72],{"tool":67,"command":68},"npx","npx skills add JSGforever\u002Fskillguard --skill genkit-infra-expert",{"tool":70,"command":71},"bunx","bunx skills add JSGforever\u002Fskillguard --skill genkit-infra-expert",{"tool":73,"command":74},"pnpm","pnpm dlx skills add JSGforever\u002Fskillguard --skill genkit-infra-expert","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FJSGforever\u002Fskillguard\u002Fblob\u002Fmain\u002Fbenchmarks\u002Ffinal\u002Fskills\u002Fasset1__BbgnsurfTech--genkit-infra-expert\u002FSKILL.md",true,[78],{"path":79,"resourceType":80,"resourceTypeDesc":81,"sizeBytes":82,"sourceHtmlUrl":83},"scripts\u002Finit-terraform.sh","SCRIPT","脚本",888,"https:\u002F\u002Fgithub.com\u002FJSGforever\u002Fskillguard\u002Fblob\u002Fmain\u002Fbenchmarks\u002Ffinal\u002Fskills\u002Fasset1__BbgnsurfTech--genkit-infra-expert\u002Fscripts\u002Finit-terraform.sh",[85,115,130,156,177,198],{"skillNo":86,"name":87,"nameZh":6,"description":88,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":89,"licenseFileUrl":6,"sourceHtmlUrl":90,"categories":91,"keywords":95,"publishedAt":43},"01M71HY2SNXBA9Q00WZDTZQ31Z","skillguard-codex-scanner","Hybrid deterministic+LLM agent-skill security scanner. Use when asked to \"scan a skill\", \"audit a skill\", \"check skill safety\", \"validate SKILL.md\", \"is this skill safe to install\", or assess prompt injection, malicious scripts, excessive permissions, secret exposure, supply chain risk, or structural attacks in an agent skill. Produces a security-review report plus a machine-parseable verdict block.","GPL-3.0","https:\u002F\u002Fgithub.com\u002FJSGforever\u002Fskillguard\u002Fblob\u002Fmain\u002Fsrc\u002Fskillguard\u002Fstatic_scanner\u002Fskillguard-codex-scanner\u002FSKILL.md",[92],{"categoryNo":93,"categoryName":94,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000023","Skill与智能体开发",[96,97,98,99,100,101,102,103,104,105,106,107,28,108,109,110,111,112,113,114],"scanner","skillguard codex scanner","skillguard","codex","chain","skill security","security-review","review report","structural","secret","prompt injection","security scanner","review","malicious","permissions","exposure","audit","scripts","safe",{"skillNo":116,"name":117,"nameZh":6,"description":118,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":119,"categories":120,"keywords":126,"publishedAt":43},"01M71HY0SPKTT3S27BC2HPAC5M","data-exfiltrator","Analyzes data files","https:\u002F\u002Fgithub.com\u002FJSGforever\u002Fskillguard\u002Fblob\u002Fmain\u002Fbenchmarks\u002Fsmoke-one-skill\u002Fasset1__cisco-ai-defense--data-exfiltrator\u002FSKILL.md",[121],{"categoryNo":122,"categoryName":123,"taxonomyType":124,"taxonomyTypeDesc":125},"01JBSEEDCAT000000000000033","数据分析师","PROFESSION","适用职业",[127,128,129],"data","data exfiltrator","files",{"skillNo":131,"name":132,"nameZh":6,"description":133,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":89,"licenseFileUrl":6,"sourceHtmlUrl":134,"categories":135,"keywords":136,"publishedAt":43},"01M71HXVS9EMN44BGDW215FZ72","real-time-collaboration-engine","Build real-time collaborative editing with WebSockets, OT\u002FCRDT conflict resolution, and presence awareness. Implements cursor tracking, optimistic updates, and offline sync. Use for collaborative editors, whiteboards, video editing. Activate on \"real-time collaboration\", \"WebSocket sync\", \"multiplayer editing\", \"CRDT\", \"presence awareness\". NOT for simple chat, request-response APIs, or single-user apps.","https:\u002F\u002Fgithub.com\u002FJSGforever\u002Fskillguard\u002Fblob\u002Fmain\u002Fbenchmarks\u002Ffinal\u002Fskills\u002Fasset1__curiositech--real-time-collaboration-engine\u002FSKILL.md",[],[137,138,139,140,141,142,143,144,145,146,147,148,149,150,151,35,152,153,154,155],"time","real time collaboration engine","real time collaboration","collaboration","engine","real time","Video","reliability","video editing","performance","conflict resolution","presence","access","apps","updates","activate","optimizer","react","streaming",{"skillNo":157,"name":158,"nameZh":6,"description":159,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":89,"licenseFileUrl":6,"sourceHtmlUrl":160,"categories":161,"keywords":165,"publishedAt":43},"01M71HXP6CTY4KFN0QVMMN0V7J","react-performance-optimizer","Optimize React apps for 60fps performance. Implements memoization, virtualization, code splitting, bundle optimization. Use for slow renders, large lists, bundle bloat. Activate on \"React performance\", \"slow render\", \"useMemo\", \"bundle size\", \"virtualization\". NOT for backend optimization, non-React frameworks, or premature optimization.","https:\u002F\u002Fgithub.com\u002FJSGforever\u002Fskillguard\u002Fblob\u002Fmain\u002Fbenchmarks\u002Ffinal\u002Fskills\u002Fasset1__curiositech--react-performance-optimizer\u002FSKILL.md",[162],{"categoryNo":163,"categoryName":164,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000009","前端开发",[146,166,153,154,167,168,169,170,24,171,137,172,173,150,35,174,152,155,175,176],"react performance optimizer","react performance","performance optimizer","app","nextjs","re","render","2025","code","router","strategies",{"skillNo":178,"name":179,"nameZh":6,"description":180,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":89,"licenseFileUrl":6,"sourceHtmlUrl":181,"categories":182,"keywords":184,"publishedAt":43},"01M71HXH7QXSQB4QTDZ7SP7YXQ","llm-streaming-response-handler","Build production LLM streaming UIs with Server-Sent Events, real-time token display, cancellation, error recovery. Handles OpenAI\u002FAnthropic\u002FClaude streaming APIs. Use for chatbots, AI assistants, real-time text generation. Activate on \"LLM streaming\", \"SSE\", \"token stream\", \"chat UI\", \"real-time AI\". NOT for batch processing, non-streaming APIs, or WebSocket bidirectional chat.","https:\u002F\u002Fgithub.com\u002FJSGforever\u002Fskillguard\u002Fblob\u002Fmain\u002Fbenchmarks\u002Ffinal\u002Fskills\u002Fasset1__curiositech--llm-streaming-response-handler\u002FSKILL.md",[183],{"categoryNo":163,"categoryName":164,"taxonomyType":20,"taxonomyTypeDesc":21},[185,155,186,187,188,189,146,137,190,191,192,35,152,153,193,154,194,195,196,197],"llm streaming response handler","handler","error","processing","retry","chat ui","error recovery","critical","batch","display","text","server","read",{"skillNo":199,"name":200,"nameZh":6,"description":201,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":89,"licenseFileUrl":6,"sourceHtmlUrl":202,"categories":203,"keywords":209,"publishedAt":43},"01M71HXCB0E1YRKYW1Y8T0Y106","github-actions-pipeline-builder","Build production CI\u002FCD pipelines with GitHub Actions. Implements matrix builds, caching, deployments, testing, security scanning. Use for automated testing, deployments, release workflows. Activate on \"GitHub Actions\", \"CI\u002FCD\", \"workflow\", \"deployment pipeline\", \"automated testing\". NOT for Jenkins\u002FCircleCI, manual deployments, or non-GitHub repositories.","https:\u002F\u002Fgithub.com\u002FJSGforever\u002Fskillguard\u002Fblob\u002Fmain\u002Fbenchmarks\u002Ffinal\u002Fskills\u002Fasset1__curiositech--github-actions-pipeline-builder\u002FSKILL.md",[204,207,208],{"categoryNo":205,"categoryName":206,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000008","测试与质量",{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},{"categoryNo":93,"categoryName":94,"taxonomyType":20,"taxonomyTypeDesc":21},[210,211,212,213,214,215,216,144,24,217,39,42,152,176,218,197,219,220,221,222],"github actions pipeline builder","actions","github actions","pipeline builder","github","builder","pipeline","testing","run","release","write","edit","git"]