[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M71FW8MZMDV313P7RNQSCKXC":3,"skill-same:01M71FW8MZMDV313P7RNQSCKXC":136},{"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},"01M71FW8MZMDV313P7RNQSCKXC","setting-up-log-aggregation",null,"Use when setting up log aggregation solutions using ELK, Loki, or Splunk. Trigger with phrases like \"setup log aggregation\", \"deploy ELK stack\", \"configure Loki\", or \"install Splunk\". Generates production-ready configurations for data ingestion, processing, storage, and visualization with proper security and scalability.","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--setting-up-log-aggregation\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],"Setting Up Log Aggregation","setting","log aggregation","log","up","aggregation","use","ready","ingestion","configure","Bash","docker","trigger","loki","processing","elk stack","production-ready","for","when","visualization","2026-11-10 10:12:30",false,"---\ndescription: Use when setting up log aggregation solutions using ELK, Loki, or Splunk. Trigger with phrases like \"setup log aggregation\", \"deploy ELK stack\", \"configure Loki\", or \"install Splunk\". Generates production-ready configurations for data ingestion, processing, storage, and visualization with proper security and scalability.\nallowed-tools:\n- Read\n- Write\n- Edit\n- Grep\n- Glob\n- Bash(docker:*)\n- Bash(kubectl:*)\nname: setting-up-log-aggregation\nlicense: MIT\nversion: 1.0.0\n---\n\n## Prerequisites\n\nBefore using this skill, ensure:\n- Target infrastructure is identified (Kubernetes, Docker, VMs)\n- Storage requirements are calculated based on log volume\n- Network connectivity between log sources and aggregation platform\n- Authentication mechanism is defined (LDAP, OAuth, basic auth)\n- Resource allocation planned (CPU, memory, disk)\n\n## Instructions\n\n1. **Select Platform**: Choose ELK, Loki, Grafana Loki, or Splunk\n2. **Configure Ingestion**: Set up log shippers (Filebeat, Promtail, Fluentd)\n3. **Define Storage**: Configure retention policies and index lifecycle\n4. **Set Up Processing**: Create parsing rules and field extractions\n5. **Deploy Visualization**: Configure Kibana\u002FGrafana dashboards\n6. **Implement Security**: Enable authentication, encryption, and RBAC\n7. **Test Pipeline**: Verify logs flow from sources to visualization\n\n## Output\n\n**ELK Stack (Docker Compose):**\n```yaml\n# {baseDir}\u002Felk\u002Fdocker-compose.yml\nversion: '3.8'\nservices:\n  elasticsearch:\n    image: docker.elastic.co\u002Felasticsearch\u002Felasticsearch:8.11.0\n    environment:\n      - discovery.type=single-node\n      - xpack.security.enabled=true\n    volumes:\n      - es-data:\u002Fusr\u002Fshare\u002Felasticsearch\u002Fdata\n    ports:\n      - \"9200:9200\"\n\n  logstash:\n    image: docker.elastic.co\u002Flogstash\u002Flogstash:8.11.0\n    volumes:\n      - .\u002Flogstash.conf:\u002Fusr\u002Fshare\u002Flogstash\u002Fpipeline\u002Flogstash.conf\n    depends_on:\n      - elasticsearch\n\n  kibana:\n    image: docker.elastic.co\u002Fkibana\u002Fkibana:8.11.0\n    ports:\n      - \"5601:5601\"\n    depends_on:\n      - elasticsearch\n```\n\n**Loki Configuration:**\n```yaml\n# {baseDir}\u002Floki\u002Floki-config.yaml\nauth_enabled: false\n\nserver:\n  http_listen_port: 3100\n\ningester:\n  lifecycler:\n    ring:\n      kvstore:\n        store: inmemory\n      replication_factor: 1\n  chunk_idle_period: 5m\n  chunk_retain_period: 30s\n\nschema_config:\n  configs:\n    - from: 2024-01-01\n      store: boltdb-shipper\n      object_store: filesystem\n      schema: v11\n      index:\n        prefix: index_\n        period: 24h\n```\n\n## Error Handling\n\n**Out of Memory**\n- Error: \"Elasticsearch heap space exhausted\"\n- Solution: Increase heap size in elasticsearch.yml or add more nodes\n\n**Connection Refused**\n- Error: \"Cannot connect to Elasticsearch\"\n- Solution: Verify network connectivity and firewall rules\n\n**Index Creation Failed**\n- Error: \"Failed to create index\"\n- Solution: Check disk space and index template configuration\n\n**Log Parsing Errors**\n- Error: \"Failed to parse log line\"\n- Solution: Review grok patterns or JSON parsing configuration\n\n## Resources\n\n- ELK Stack guide: https:\u002F\u002Fwww.elastic.co\u002Fguide\u002F\n- Loki documentation: https:\u002F\u002Fgrafana.com\u002Fdocs\u002Floki\u002F\n- Example configurations in {baseDir}\u002Flog-aggregation-examples\u002F\n","## Prerequisites\n\nBefore using this skill, ensure:\n- Target infrastructure is identified (Kubernetes, Docker, VMs)\n- Storage requirements are calculated based on log volume\n- Network connectivity between log sources and aggregation platform\n- Authentication mechanism is defined (LDAP, OAuth, basic auth)\n- Resource allocation planned (CPU, memory, disk)\n\n## Instructions\n\n1. **Select Platform**: Choose ELK, Loki, Grafana Loki, or Splunk\n2. **Configure Ingestion**: Set up log shippers (Filebeat, Promtail, Fluentd)\n3. **Define Storage**: Configure retention policies and index lifecycle\n4. **Set Up Processing**: Create parsing rules and field extractions\n5. **Deploy Visualization**: Configure Kibana\u002FGrafana dashboards\n6. **Implement Security**: Enable authentication, encryption, and RBAC\n7. **Test Pipeline**: Verify logs flow from sources to visualization\n\n## Output\n\n**ELK Stack (Docker Compose):**\n```yaml\n# {baseDir}\u002Felk\u002Fdocker-compose.yml\nversion: '3.8'\nservices:\n  elasticsearch:\n    image: docker.elastic.co\u002Felasticsearch\u002Felasticsearch:8.11.0\n    environment:\n      - discovery.type=single-node\n      - xpack.security.enabled=true\n    volumes:\n      - es-data:\u002Fusr\u002Fshare\u002Felasticsearch\u002Fdata\n    ports:\n      - \"9200:9200\"\n\n  logstash:\n    image: docker.elastic.co\u002Flogstash\u002Flogstash:8.11.0\n    volumes:\n      - .\u002Flogstash.conf:\u002Fusr\u002Fshare\u002Flogstash\u002Fpipeline\u002Flogstash.conf\n    depends_on:\n      - elasticsearch\n\n  kibana:\n    image: docker.elastic.co\u002Fkibana\u002Fkibana:8.11.0\n    ports:\n      - \"5601:5601\"\n    depends_on:\n      - elasticsearch\n```\n\n**Loki Configuration:**\n```yaml\n# {baseDir}\u002Floki\u002Floki-config.yaml\nauth_enabled: false\n\nserver:\n  http_listen_port: 3100\n\ningester:\n  lifecycler:\n    ring:\n      kvstore:\n        store: inmemory\n      replication_factor: 1\n  chunk_idle_period: 5m\n  chunk_retain_period: 30s\n\nschema_config:\n  configs:\n    - from: 2024-01-01\n      store: boltdb-shipper\n      object_store: filesystem\n      schema: v11\n      index:\n        prefix: index_\n        period: 24h\n```\n\n## Error Handling\n\n**Out of Memory**\n- Error: \"Elasticsearch heap space exhausted\"\n- Solution: Increase heap size in elasticsearch.yml or add more nodes\n\n**Connection Refused**\n- Error: \"Cannot connect to Elasticsearch\"\n- Solution: Verify network connectivity and firewall rules\n\n**Index Creation Failed**\n- Error: \"Failed to create index\"\n- Solution: Check disk space and index template configuration\n\n**Log Parsing Errors**\n- Error: \"Failed to parse log line\"\n- Solution: Review grok patterns or JSON parsing configuration\n\n## Resources\n\n- ELK Stack guide: https:\u002F\u002Fwww.elastic.co\u002Fguide\u002F\n- Loki documentation: https:\u002F\u002Fgrafana.com\u002Fdocs\u002Floki\u002F\n- Example configurations in {baseDir}\u002Flog-aggregation-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(docker:*)","Bash(kubectl:*)","main","f2ec4b3b9133d34eeaf9b38e4b0a97e8e5705a7f","benchmarks\u002Ffinal\u002Fskills\u002Fasset1__BbgnsurfTech--setting-up-log-aggregation",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 setting-up-log-aggregation",{"tool":70,"command":71},"bunx","bunx skills add JSGforever\u002Fskillguard --skill setting-up-log-aggregation",{"tool":73,"command":74},"pnpm","pnpm dlx skills add JSGforever\u002Fskillguard --skill setting-up-log-aggregation","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FJSGforever\u002Fskillguard\u002Fblob\u002Fmain\u002Fbenchmarks\u002Ffinal\u002Fskills\u002Fasset1__BbgnsurfTech--setting-up-log-aggregation\u002FSKILL.md",true,[78,84,88,92,96,100,104,108,114,120,124,128,132],{"path":79,"resourceType":80,"resourceTypeDesc":81,"sizeBytes":82,"sourceHtmlUrl":83},"assets\u002Fdashboard_elk.json","ASSET","资产文件",4980,"https:\u002F\u002Fgithub.com\u002FJSGforever\u002Fskillguard\u002Fblob\u002Fmain\u002Fbenchmarks\u002Ffinal\u002Fskills\u002Fasset1__BbgnsurfTech--setting-up-log-aggregation\u002Fassets\u002Fdashboard_elk.json",{"path":85,"resourceType":80,"resourceTypeDesc":81,"sizeBytes":86,"sourceHtmlUrl":87},"assets\u002Fdashboard_loki.json",6968,"https:\u002F\u002Fgithub.com\u002FJSGforever\u002Fskillguard\u002Fblob\u002Fmain\u002Fbenchmarks\u002Ffinal\u002Fskills\u002Fasset1__BbgnsurfTech--setting-up-log-aggregation\u002Fassets\u002Fdashboard_loki.json",{"path":89,"resourceType":80,"resourceTypeDesc":81,"sizeBytes":90,"sourceHtmlUrl":91},"assets\u002Fdashboard_splunk.json",4011,"https:\u002F\u002Fgithub.com\u002FJSGforever\u002Fskillguard\u002Fblob\u002Fmain\u002Fbenchmarks\u002Ffinal\u002Fskills\u002Fasset1__BbgnsurfTech--setting-up-log-aggregation\u002Fassets\u002Fdashboard_splunk.json",{"path":93,"resourceType":80,"resourceTypeDesc":81,"sizeBytes":94,"sourceHtmlUrl":95},"assets\u002Fexample_log_data.json",3235,"https:\u002F\u002Fgithub.com\u002FJSGforever\u002Fskillguard\u002Fblob\u002Fmain\u002Fbenchmarks\u002Ffinal\u002Fskills\u002Fasset1__BbgnsurfTech--setting-up-log-aggregation\u002Fassets\u002Fexample_log_data.json",{"path":97,"resourceType":80,"resourceTypeDesc":81,"sizeBytes":98,"sourceHtmlUrl":99},"assets\u002Floki_config_template.yaml",3753,"https:\u002F\u002Fgithub.com\u002FJSGforever\u002Fskillguard\u002Fblob\u002Fmain\u002Fbenchmarks\u002Ffinal\u002Fskills\u002Fasset1__BbgnsurfTech--setting-up-log-aggregation\u002Fassets\u002Floki_config_template.yaml",{"path":101,"resourceType":80,"resourceTypeDesc":81,"sizeBytes":102,"sourceHtmlUrl":103},"assets\u002FREADME.md",593,"https:\u002F\u002Fgithub.com\u002FJSGforever\u002Fskillguard\u002Fblob\u002Fmain\u002Fbenchmarks\u002Ffinal\u002Fskills\u002Fasset1__BbgnsurfTech--setting-up-log-aggregation\u002Fassets\u002FREADME.md",{"path":105,"resourceType":80,"resourceTypeDesc":81,"sizeBytes":106,"sourceHtmlUrl":107},"assets\u002Fsplunk_config_template.conf",4508,"https:\u002F\u002Fgithub.com\u002FJSGforever\u002Fskillguard\u002Fblob\u002Fmain\u002Fbenchmarks\u002Ffinal\u002Fskills\u002Fasset1__BbgnsurfTech--setting-up-log-aggregation\u002Fassets\u002Fsplunk_config_template.conf",{"path":109,"resourceType":110,"resourceTypeDesc":111,"sizeBytes":112,"sourceHtmlUrl":113},"references\u002FREADME.md","REFERENCE","参考文档",856,"https:\u002F\u002Fgithub.com\u002FJSGforever\u002Fskillguard\u002Fblob\u002Fmain\u002Fbenchmarks\u002Ffinal\u002Fskills\u002Fasset1__BbgnsurfTech--setting-up-log-aggregation\u002Freferences\u002FREADME.md",{"path":115,"resourceType":116,"resourceTypeDesc":117,"sizeBytes":118,"sourceHtmlUrl":119},"scripts\u002Fconfigure_logging.py","SCRIPT","脚本",2934,"https:\u002F\u002Fgithub.com\u002FJSGforever\u002Fskillguard\u002Fblob\u002Fmain\u002Fbenchmarks\u002Ffinal\u002Fskills\u002Fasset1__BbgnsurfTech--setting-up-log-aggregation\u002Fscripts\u002Fconfigure_logging.py",{"path":121,"resourceType":116,"resourceTypeDesc":117,"sizeBytes":122,"sourceHtmlUrl":123},"scripts\u002FREADME.md",720,"https:\u002F\u002Fgithub.com\u002FJSGforever\u002Fskillguard\u002Fblob\u002Fmain\u002Fbenchmarks\u002Ffinal\u002Fskills\u002Fasset1__BbgnsurfTech--setting-up-log-aggregation\u002Fscripts\u002FREADME.md",{"path":125,"resourceType":116,"resourceTypeDesc":117,"sizeBytes":126,"sourceHtmlUrl":127},"scripts\u002Fsetup_elk.sh",2721,"https:\u002F\u002Fgithub.com\u002FJSGforever\u002Fskillguard\u002Fblob\u002Fmain\u002Fbenchmarks\u002Ffinal\u002Fskills\u002Fasset1__BbgnsurfTech--setting-up-log-aggregation\u002Fscripts\u002Fsetup_elk.sh",{"path":129,"resourceType":116,"resourceTypeDesc":117,"sizeBytes":130,"sourceHtmlUrl":131},"scripts\u002Fsetup_loki.sh",2635,"https:\u002F\u002Fgithub.com\u002FJSGforever\u002Fskillguard\u002Fblob\u002Fmain\u002Fbenchmarks\u002Ffinal\u002Fskills\u002Fasset1__BbgnsurfTech--setting-up-log-aggregation\u002Fscripts\u002Fsetup_loki.sh",{"path":133,"resourceType":116,"resourceTypeDesc":117,"sizeBytes":134,"sourceHtmlUrl":135},"scripts\u002Fsetup_splunk.sh",2639,"https:\u002F\u002Fgithub.com\u002FJSGforever\u002Fskillguard\u002Fblob\u002Fmain\u002Fbenchmarks\u002Ffinal\u002Fskills\u002Fasset1__BbgnsurfTech--setting-up-log-aggregation\u002Fscripts\u002Fsetup_splunk.sh",[137,167,182,208,230,250],{"skillNo":138,"name":139,"nameZh":6,"description":140,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":141,"licenseFileUrl":6,"sourceHtmlUrl":142,"categories":143,"keywords":147,"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",[144],{"categoryNo":145,"categoryName":146,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000023","Skill与智能体开发",[148,149,150,151,152,153,154,155,156,157,158,159,41,160,161,162,163,164,165,166],"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":168,"name":169,"nameZh":6,"description":170,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":171,"categories":172,"keywords":178,"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",[173],{"categoryNo":174,"categoryName":175,"taxonomyType":176,"taxonomyTypeDesc":177},"01JBSEEDCAT000000000000033","数据分析师","PROFESSION","适用职业",[179,180,181],"data","data exfiltrator","files",{"skillNo":183,"name":184,"nameZh":6,"description":185,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":141,"licenseFileUrl":6,"sourceHtmlUrl":186,"categories":187,"keywords":188,"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",[],[189,190,191,192,193,194,195,196,197,198,199,200,201,202,203,33,204,205,206,207],"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":209,"name":210,"nameZh":6,"description":211,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":141,"licenseFileUrl":6,"sourceHtmlUrl":212,"categories":213,"keywords":217,"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",[214],{"categoryNo":215,"categoryName":216,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000009","前端开发",[198,218,205,206,219,220,221,222,223,224,189,225,226,202,33,227,204,207,228,229],"react performance optimizer","react performance","performance optimizer","app","nextjs","expert","re","render","2025","code","router","strategies",{"skillNo":231,"name":232,"nameZh":6,"description":233,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":141,"licenseFileUrl":6,"sourceHtmlUrl":234,"categories":235,"keywords":237,"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",[236],{"categoryNo":215,"categoryName":216,"taxonomyType":20,"taxonomyTypeDesc":21},[238,207,239,240,37,241,198,189,242,243,244,33,204,205,245,206,246,247,248,249],"llm streaming response handler","handler","error","retry","chat ui","error recovery","critical","batch","display","text","server","read",{"skillNo":251,"name":252,"nameZh":6,"description":253,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":141,"licenseFileUrl":6,"sourceHtmlUrl":254,"categories":255,"keywords":261,"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",[256,259,260],{"categoryNo":257,"categoryName":258,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000008","测试与质量",{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},{"categoryNo":145,"categoryName":146,"taxonomyType":20,"taxonomyTypeDesc":21},[262,263,264,265,266,267,268,196,223,269,270,271,204,229,272,249,273,274,275,276],"github actions pipeline builder","actions","github actions","pipeline builder","github","builder","pipeline","testing","ci","workflows","run","release","write","edit","git"]