[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6MSMZRTB3ZBCV8XBGEXBPTH":3,"skill-same:01M6MSMZRTB3ZBCV8XBGEXBPTH":75},{"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":38,"linkOnly":39,"markdownContent":40,"markdownBody":41,"frontMatter":42,"refName":43,"commitSha":44,"skillDirectory":45,"forksCount":46,"repositoryHtmlUrl":47,"repositoryHomepageUrl":6,"ownerHtmlUrl":48,"ownerBlogUrl":6,"ownerDescription":49,"updatedAt":50,"install":51,"resources":64},"01M6MSMZRTB3ZBCV8XBGEXBPTH","k8s-autoscaling",null,"Configure Kubernetes autoscaling with HPA, VPA, and KEDA. Use for horizontal\u002Fvertical pod autoscaling, event-driven scaling, and capacity management.","Kernel8901\u002Fai-agent-skills-classification","Kernel8901","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F72647553?v=4","01M6KV388J2H5PNC8D8P940BJD","01M6KV38CS5B3AY63RKZB410YM",7,"MIT","https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002FDevOps与云计算\u002Fk8-autoscaling\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],"k8s","k8s autoscaling","autoscaling","kubernetes","capacity","configure","management","use","scaling","driven","event-driven","event","with","keda","for","2026-11-10 10:12:30",false,"---\nname: k8s-autoscaling\ndescription: Configure Kubernetes autoscaling with HPA, VPA, and KEDA. Use for horizontal\u002Fvertical pod autoscaling, event-driven scaling, and capacity management.\n---\n\n# Kubernetes Autoscaling\n\nComprehensive autoscaling using HPA, VPA, and KEDA with kubectl-mcp-server tools.\n\n## Quick Reference\n\n### HPA (Horizontal Pod Autoscaler)\n\nBasic CPU-based scaling:\n```yaml\napiVersion: autoscaling\u002Fv2\nkind: HorizontalPodAutoscaler\nmetadata:\n  name: my-app-hpa\nspec:\n  scaleTargetRef:\n    apiVersion: apps\u002Fv1\n    kind: Deployment\n    name: my-app\n  minReplicas: 2\n  maxReplicas: 10\n  metrics:\n  - type: Resource\n    resource:\n      name: cpu\n      target:\n        type: Utilization\n        averageUtilization: 70\n```\n\nApply and verify:\n```\napply_manifest(hpa_yaml, namespace)\nget_hpa(namespace)\n```\n\n### VPA (Vertical Pod Autoscaler)\n\nRight-size resource requests:\n```yaml\napiVersion: autoscaling.k8s.io\u002Fv1\nkind: VerticalPodAutoscaler\nmetadata:\n  name: my-app-vpa\nspec:\n  targetRef:\n    apiVersion: apps\u002Fv1\n    kind: Deployment\n    name: my-app\n  updatePolicy:\n    updateMode: \"Auto\"\n```\n\n## KEDA (Event-Driven Autoscaling)\n\n### Detect KEDA Installation\n```\nkeda_detect_tool()\n```\n\n### List ScaledObjects\n```\nkeda_scaledobjects_list_tool(namespace)\nkeda_scaledobject_get_tool(name, namespace)\n```\n\n### List ScaledJobs\n```\nkeda_scaledjobs_list_tool(namespace)\n```\n\n### Trigger Authentication\n```\nkeda_triggerauths_list_tool(namespace)\nkeda_triggerauth_get_tool(name, namespace)\n```\n\n### KEDA-Managed HPAs\n```\nkeda_hpa_list_tool(namespace)\n```\n\nSee [KEDA-TRIGGERS.md](KEDA-TRIGGERS.md) for trigger configurations.\n\n## Common KEDA Triggers\n\n### Queue-Based Scaling (AWS SQS)\n```yaml\napiVersion: keda.sh\u002Fv1alpha1\nkind: ScaledObject\nmetadata:\n  name: sqs-scaler\nspec:\n  scaleTargetRef:\n    name: queue-processor\n  minReplicaCount: 0  # Scale to zero!\n  maxReplicaCount: 100\n  triggers:\n  - type: aws-sqs-queue\n    metadata:\n      queueURL: https:\u002F\u002Fsqs.region.amazonaws.com\u002F...\n      queueLength: \"5\"\n```\n\n### Cron-Based Scaling\n```yaml\ntriggers:\n- type: cron\n  metadata:\n    timezone: America\u002FNew_York\n    start: 0 8 * * 1-5   # 8 AM weekdays\n    end: 0 18 * * 1-5    # 6 PM weekdays\n    desiredReplicas: \"10\"\n```\n\n### Prometheus Metrics\n```yaml\ntriggers:\n- type: prometheus\n  metadata:\n    serverAddress: http:\u002F\u002Fprometheus:9090\n    metricName: http_requests_total\n    query: sum(rate(http_requests_total{app=\"myapp\"}[2m]))\n    threshold: \"100\"\n```\n\n## Scaling Strategies\n\n| Strategy | Tool | Use Case |\n|----------|------|----------|\n| CPU\u002FMemory | HPA | Steady traffic patterns |\n| Custom metrics | HPA v2 | Business metrics |\n| Event-driven | KEDA | Queue processing, cron |\n| Vertical | VPA | Right-size requests |\n| Scale to zero | KEDA | Cost savings, idle workloads |\n\n## Cost-Optimized Autoscaling\n\n### Scale to Zero with KEDA\nReduce costs for idle workloads:\n```\nkeda_scaledobjects_list_tool(namespace)\n# ScaledObjects with minReplicaCount: 0 can scale to zero\n```\n\n### Right-Size with VPA\nGet recommendations and apply:\n```\nget_resource_recommendations(namespace)\n# Apply VPA recommendations\n```\n\n### Predictive Scaling\nUse cron triggers for known patterns:\n```yaml\n# Scale up before traffic spike\ntriggers:\n- type: cron\n  metadata:\n    start: 0 7 * * *  # 7 AM\n    end: 0 9 * * *    # 9 AM\n    desiredReplicas: \"20\"\n```\n\n## Multi-Cluster Autoscaling\n\nConfigure KEDA across clusters:\n```\nkeda_scaledobjects_list_tool(namespace, context=\"production\")\nkeda_scaledobjects_list_tool(namespace, context=\"staging\")\n```\n\n## Troubleshooting\n\n### HPA Not Scaling\n```\nget_hpa(namespace)\nget_pod_metrics(name, namespace)  # Metrics available?\ndescribe_pod(name, namespace)     # Resource requests set?\n```\n\n### KEDA Not Triggering\n```\nkeda_scaledobject_get_tool(name, namespace)  # Check status\nget_events(namespace)                        # Check events\n```\n\n### Common Issues\n\n| Symptom | Check | Resolution |\n|---------|-------|------------|\n| HPA unknown | Metrics server | Install metrics-server |\n| KEDA no scale | Trigger auth | Check TriggerAuthentication |\n| VPA not updating | Update mode | Set updateMode: Auto |\n| Scale down slow | Stabilization | Adjust stabilizationWindowSeconds |\n\n## Best Practices\n\n1. **Always Set Resource Requests**\n   - HPA requires requests to calculate utilization\n\n2. **Use Multiple Metrics**\n   - Combine CPU + custom metrics for accuracy\n\n3. **Stabilization Windows**\n   - Prevent flapping with scaleDown stabilization\n\n4. **Scale to Zero Carefully**\n   - Consider cold start time\n   - Use activation threshold\n\n## Related Skills\n- [k8s-cost](..\u002Fk8s-cost\u002FSKILL.md) - Cost optimization\n- [k8s-troubleshoot](..\u002Fk8s-troubleshoot\u002FSKILL.md) - Debug scaling issues\n","# Kubernetes Autoscaling\n\nComprehensive autoscaling using HPA, VPA, and KEDA with kubectl-mcp-server tools.\n\n## Quick Reference\n\n### HPA (Horizontal Pod Autoscaler)\n\nBasic CPU-based scaling:\n```yaml\napiVersion: autoscaling\u002Fv2\nkind: HorizontalPodAutoscaler\nmetadata:\n  name: my-app-hpa\nspec:\n  scaleTargetRef:\n    apiVersion: apps\u002Fv1\n    kind: Deployment\n    name: my-app\n  minReplicas: 2\n  maxReplicas: 10\n  metrics:\n  - type: Resource\n    resource:\n      name: cpu\n      target:\n        type: Utilization\n        averageUtilization: 70\n```\n\nApply and verify:\n```\napply_manifest(hpa_yaml, namespace)\nget_hpa(namespace)\n```\n\n### VPA (Vertical Pod Autoscaler)\n\nRight-size resource requests:\n```yaml\napiVersion: autoscaling.k8s.io\u002Fv1\nkind: VerticalPodAutoscaler\nmetadata:\n  name: my-app-vpa\nspec:\n  targetRef:\n    apiVersion: apps\u002Fv1\n    kind: Deployment\n    name: my-app\n  updatePolicy:\n    updateMode: \"Auto\"\n```\n\n## KEDA (Event-Driven Autoscaling)\n\n### Detect KEDA Installation\n```\nkeda_detect_tool()\n```\n\n### List ScaledObjects\n```\nkeda_scaledobjects_list_tool(namespace)\nkeda_scaledobject_get_tool(name, namespace)\n```\n\n### List ScaledJobs\n```\nkeda_scaledjobs_list_tool(namespace)\n```\n\n### Trigger Authentication\n```\nkeda_triggerauths_list_tool(namespace)\nkeda_triggerauth_get_tool(name, namespace)\n```\n\n### KEDA-Managed HPAs\n```\nkeda_hpa_list_tool(namespace)\n```\n\nSee [KEDA-TRIGGERS.md](KEDA-TRIGGERS.md) for trigger configurations.\n\n## Common KEDA Triggers\n\n### Queue-Based Scaling (AWS SQS)\n```yaml\napiVersion: keda.sh\u002Fv1alpha1\nkind: ScaledObject\nmetadata:\n  name: sqs-scaler\nspec:\n  scaleTargetRef:\n    name: queue-processor\n  minReplicaCount: 0  # Scale to zero!\n  maxReplicaCount: 100\n  triggers:\n  - type: aws-sqs-queue\n    metadata:\n      queueURL: https:\u002F\u002Fsqs.region.amazonaws.com\u002F...\n      queueLength: \"5\"\n```\n\n### Cron-Based Scaling\n```yaml\ntriggers:\n- type: cron\n  metadata:\n    timezone: America\u002FNew_York\n    start: 0 8 * * 1-5   # 8 AM weekdays\n    end: 0 18 * * 1-5    # 6 PM weekdays\n    desiredReplicas: \"10\"\n```\n\n### Prometheus Metrics\n```yaml\ntriggers:\n- type: prometheus\n  metadata:\n    serverAddress: http:\u002F\u002Fprometheus:9090\n    metricName: http_requests_total\n    query: sum(rate(http_requests_total{app=\"myapp\"}[2m]))\n    threshold: \"100\"\n```\n\n## Scaling Strategies\n\n| Strategy | Tool | Use Case |\n|----------|------|----------|\n| CPU\u002FMemory | HPA | Steady traffic patterns |\n| Custom metrics | HPA v2 | Business metrics |\n| Event-driven | KEDA | Queue processing, cron |\n| Vertical | VPA | Right-size requests |\n| Scale to zero | KEDA | Cost savings, idle workloads |\n\n## Cost-Optimized Autoscaling\n\n### Scale to Zero with KEDA\nReduce costs for idle workloads:\n```\nkeda_scaledobjects_list_tool(namespace)\n# ScaledObjects with minReplicaCount: 0 can scale to zero\n```\n\n### Right-Size with VPA\nGet recommendations and apply:\n```\nget_resource_recommendations(namespace)\n# Apply VPA recommendations\n```\n\n### Predictive Scaling\nUse cron triggers for known patterns:\n```yaml\n# Scale up before traffic spike\ntriggers:\n- type: cron\n  metadata:\n    start: 0 7 * * *  # 7 AM\n    end: 0 9 * * *    # 9 AM\n    desiredReplicas: \"20\"\n```\n\n## Multi-Cluster Autoscaling\n\nConfigure KEDA across clusters:\n```\nkeda_scaledobjects_list_tool(namespace, context=\"production\")\nkeda_scaledobjects_list_tool(namespace, context=\"staging\")\n```\n\n## Troubleshooting\n\n### HPA Not Scaling\n```\nget_hpa(namespace)\nget_pod_metrics(name, namespace)  # Metrics available?\ndescribe_pod(name, namespace)     # Resource requests set?\n```\n\n### KEDA Not Triggering\n```\nkeda_scaledobject_get_tool(name, namespace)  # Check status\nget_events(namespace)                        # Check events\n```\n\n### Common Issues\n\n| Symptom | Check | Resolution |\n|---------|-------|------------|\n| HPA unknown | Metrics server | Install metrics-server |\n| KEDA no scale | Trigger auth | Check TriggerAuthentication |\n| VPA not updating | Update mode | Set updateMode: Auto |\n| Scale down slow | Stabilization | Adjust stabilizationWindowSeconds |\n\n## Best Practices\n\n1. **Always Set Resource Requests**\n   - HPA requires requests to calculate utilization\n\n2. **Use Multiple Metrics**\n   - Combine CPU + custom metrics for accuracy\n\n3. **Stabilization Windows**\n   - Prevent flapping with scaleDown stabilization\n\n4. **Scale to Zero Carefully**\n   - Consider cold start time\n   - Use activation threshold\n\n## Related Skills\n- [k8s-cost](..\u002Fk8s-cost\u002FSKILL.md) - Cost optimization\n- [k8s-troubleshoot](..\u002Fk8s-troubleshoot\u002FSKILL.md) - Debug scaling issues\n",{"name":5,"description":7},"main","f4cb2d49f7667e79ef7804f50396d5aaffdf1f56","DevOps与云计算\u002Fk8-autoscaling",1,"https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification","https:\u002F\u002Fgithub.com\u002FKernel8901","a little little little dobe in life but science geek","2026-04-05 16:43:56",{"source":8,"skillName":5,"commands":52,"prompt":62,"zipAvailable":63},[53,56,59],{"tool":54,"command":55},"npx","npx skills add Kernel8901\u002Fai-agent-skills-classification --skill k8s-autoscaling",{"tool":57,"command":58},"bunx","bunx skills add Kernel8901\u002Fai-agent-skills-classification --skill k8s-autoscaling",{"tool":60,"command":61},"pnpm","pnpm dlx skills add Kernel8901\u002Fai-agent-skills-classification --skill k8s-autoscaling","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002FDevOps与云计算\u002Fk8-autoscaling\u002FSKILL.md",true,[65,71],{"path":66,"resourceType":67,"resourceTypeDesc":68,"sizeBytes":69,"sourceHtmlUrl":70},"_meta.json","REFERENCE","参考文档",285,"https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002FDevOps与云计算\u002Fk8-autoscaling\u002F_meta.json",{"path":72,"resourceType":67,"resourceTypeDesc":68,"sizeBytes":73,"sourceHtmlUrl":74},"KEDA-TRIGGERS.md",4597,"https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002FDevOps与云计算\u002Fk8-autoscaling\u002FKEDA-TRIGGERS.md",[76,99,133,144,154,183],{"skillNo":77,"name":78,"nameZh":6,"description":79,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":80,"categories":81,"keywords":82,"publishedAt":38},"01M6Q5R6WZ06RRB9RQTW54B34B","zyfai","Earn yield on any Ethereum wallet on Base, Arbitrum, and Plasma. Use when a user wants passive DeFi yield on their funds. Deploys a non-custodial subaccount (Safe) linked to their EOA, enables automated yield optimization, and lets them deposit\u002Fwithdraw anytime.","https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002F金融\u002Fzyfai-sdk\u002FSKILL.md",[],[78,83,84,85,86,87,30,88,89,90,91,92,93,94,95,96,97,98],"safe","ethereum","defi","Optimization","user","Wallet","base","deposit","withdraw","yield","arbitrum","non-custodial","passive","defi yield","earn","yield optimization",{"skillNo":100,"name":101,"nameZh":6,"description":6,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":102,"categories":103,"keywords":115,"publishedAt":38},"01M6Q5R337B5JSNER4P4YS03TN","zerion-api","https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002F金融\u002Fzerion-api\u002FSKILL.md",[104,107,110],{"categoryNo":105,"categoryName":106,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000010","后端与接口",{"categoryNo":108,"categoryName":109,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000023","Skill与智能体开发",{"categoryNo":111,"categoryName":112,"taxonomyType":113,"taxonomyTypeDesc":114},"01JBSEEDCAT000000000000030","开发工程师","PROFESSION","适用职业",[116,117,118,119,120,121,122,85,123,88,124,125,126,127,128,129,130,131,132],"api","zerion api","zerion","MCP","mcp server","server","blockchain","transactions","crypto wallet","crypto","evm","solana","query","across","positions","token","prices",{"skillNo":134,"name":135,"nameZh":6,"description":6,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":136,"categories":137,"keywords":141,"publishedAt":38},"01M6Q5QZFYTDAZMZ27BN5VZXAR","zerion-api-skill","https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002F金融\u002Fzerion-api-skill\u002FSKILL.md",[138,139,140],{"categoryNo":105,"categoryName":106,"taxonomyType":20,"taxonomyTypeDesc":21},{"categoryNo":108,"categoryName":109,"taxonomyType":20,"taxonomyTypeDesc":21},{"categoryNo":111,"categoryName":112,"taxonomyType":113,"taxonomyTypeDesc":114},[116,142,143,117,118,119,120,121,122,85,123,88,125,126,127,128,129,130,131,132],"api skill","zerion api skill",{"skillNo":145,"name":146,"nameZh":6,"description":6,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":147,"categories":148,"keywords":152,"publishedAt":38},"01M6Q5QW17QW98RA3FE45E4RD8","zerion-api-mcp","https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002F金融\u002Fzerion-api-mcp\u002FSKILL.md",[149,150,151],{"categoryNo":105,"categoryName":106,"taxonomyType":20,"taxonomyTypeDesc":21},{"categoryNo":108,"categoryName":109,"taxonomyType":20,"taxonomyTypeDesc":21},{"categoryNo":111,"categoryName":112,"taxonomyType":113,"taxonomyTypeDesc":114},[119,116,153,117,118,120,121,85,123,88,124,125,126,127,128,129,130,131,132],"zerion api mcp",{"skillNo":155,"name":156,"nameZh":6,"description":157,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":158,"categories":159,"keywords":163,"publishedAt":38},"01M6Q5QQYZB7A501BDEQWKGSJT","yahoo-finance-forex","Fetches real-time FOREX news and market data from Yahoo Finance for major currency pairs (EUR\u002FUSD, GBP\u002FUSD, USD\u002FJPY, etc.). Analyzes sentiment and provides trading context.","https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002F金融\u002Fyahoo-finance-forex\u002FSKILL.md",[160],{"categoryNo":161,"categoryName":162,"taxonomyType":113,"taxonomyTypeDesc":114},"01JBSEEDCAT000000000000040","财务",[164,165,166,167,168,169,170,171,172,173,174,175,176,177,178,179,180,181,182,37],"finance","yahoo finance","forex","yahoo","yahoo finance forex","github","https","sentiment","real-time","python3","install","Market","usd","news","time","currency","gbp","pip","market data",{"skillNo":184,"name":185,"nameZh":6,"description":186,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":187,"categories":188,"keywords":190,"publishedAt":38},"01M6Q5QM6VS84WZVM7BKXXPF32","yahoo-finance","This skill should be used when the user asks to \"get stock prices\", \"check stock quotes\", \"look up earnings\", \"get financial data\", \"find trending stocks\", or needs stock market data from Yahoo Finance.","https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002F金融\u002Fyahoo-finance-cli\u002FSKILL.md",[189],{"categoryNo":161,"categoryName":162,"taxonomyType":113,"taxonomyTypeDesc":114},[164,165,167,191,192,193,194,195,196,175,197,198,199,200,201,202,203,204,132,182],"cli","homebrew","find","check","brew","up","local","get","stock","link","trending","sf","quotes","ln"]