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Use when setting up mesh monitoring, debugging latency issues, or implementing SLOs for service communication.","shengdabai\u002FTony-Claude-Code-Skills","shengdabai","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F116417419?v=4","01M70F6D2WY5PQV5A92BKYJQEW","Tony Sheng","01M70F6D3GAAAYZ5H4CC1G8VXM",3,"MIT","https:\u002F\u002Fgithub.com\u002Fshengdabai\u002FTony-Claude-Code-Skills\u002Fblob\u002Fmain\u002Fskills\u002F_collections\u002Fwshobson-agents\u002Fplugins\u002Fcloud-infrastructure\u002Fskills\u002Fservice-mesh-observability\u002FSKILL.md",[18],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000013","分析与可视化","SCENARIO","使用场景",[24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43],"observability","service mesh observability","service mesh","service","mesh","distributed","use","for","latency","metrics","distributed tracing","tracing","communication","monitoring","when","debugging","implementing","issues","up","visualization","2026-11-10 10:12:30",false,"---\nname: service-mesh-observability\ndescription: Implement comprehensive observability for service meshes including distributed tracing, metrics, and visualization. Use when setting up mesh monitoring, debugging latency issues, or implementing SLOs for service communication.\n---\n\n# Service Mesh Observability\n\nComplete guide to observability patterns for Istio, Linkerd, and service mesh deployments.\n\n## When to Use This Skill\n\n- Setting up distributed tracing across services\n- Implementing service mesh metrics and dashboards\n- Debugging latency and error issues\n- Defining SLOs for service communication\n- Visualizing service dependencies\n- Troubleshooting mesh connectivity\n\n## Core Concepts\n\n### 1. Three Pillars of Observability\n\n```\n┌─────────────────────────────────────────────────────┐\n│                  Observability                       │\n├─────────────────┬─────────────────┬─────────────────┤\n│     Metrics     │     Traces      │      Logs       │\n│                 │                 │                 │\n│ • Request rate  │ • Span context  │ • Access logs   │\n│ • Error rate    │ • Latency       │ • Error details │\n│ • Latency P50   │ • Dependencies  │ • Debug info    │\n│ • Saturation    │ • Bottlenecks   │ • Audit trail   │\n└─────────────────┴─────────────────┴─────────────────┘\n```\n\n### 2. Golden Signals for Mesh\n\n| Signal | Description | Alert Threshold |\n|--------|-------------|-----------------|\n| **Latency** | Request duration P50, P99 | P99 > 500ms |\n| **Traffic** | Requests per second | Anomaly detection |\n| **Errors** | 5xx error rate | > 1% |\n| **Saturation** | Resource utilization | > 80% |\n\n## Templates\n\n### Template 1: Istio with Prometheus & Grafana\n\n```yaml\n# Install Prometheus\napiVersion: v1\nkind: ConfigMap\nmetadata:\n  name: prometheus\n  namespace: istio-system\ndata:\n  prometheus.yml: |\n    global:\n      scrape_interval: 15s\n    scrape_configs:\n      - job_name: 'istio-mesh'\n        kubernetes_sd_configs:\n          - role: endpoints\n            namespaces:\n              names:\n                - istio-system\n        relabel_configs:\n          - source_labels: [__meta_kubernetes_service_name]\n            action: keep\n            regex: istio-telemetry\n---\n# ServiceMonitor for Prometheus Operator\napiVersion: monitoring.coreos.com\u002Fv1\nkind: ServiceMonitor\nmetadata:\n  name: istio-mesh\n  namespace: istio-system\nspec:\n  selector:\n    matchLabels:\n      app: istiod\n  endpoints:\n    - port: http-monitoring\n      interval: 15s\n```\n\n### Template 2: Key Istio Metrics Queries\n\n```promql\n# Request rate by service\nsum(rate(istio_requests_total{reporter=\"destination\"}[5m])) by (destination_service_name)\n\n# Error rate (5xx)\nsum(rate(istio_requests_total{reporter=\"destination\", response_code=~\"5..\"}[5m]))\n  \u002F sum(rate(istio_requests_total{reporter=\"destination\"}[5m])) * 100\n\n# P99 latency\nhistogram_quantile(0.99,\n  sum(rate(istio_request_duration_milliseconds_bucket{reporter=\"destination\"}[5m]))\n  by (le, destination_service_name))\n\n# TCP connections\nsum(istio_tcp_connections_opened_total{reporter=\"destination\"}) by (destination_service_name)\n\n# Request size\nhistogram_quantile(0.99,\n  sum(rate(istio_request_bytes_bucket{reporter=\"destination\"}[5m]))\n  by (le, destination_service_name))\n```\n\n### Template 3: Jaeger Distributed Tracing\n\n```yaml\n# Jaeger installation for Istio\napiVersion: install.istio.io\u002Fv1alpha1\nkind: IstioOperator\nspec:\n  meshConfig:\n    enableTracing: true\n    defaultConfig:\n      tracing:\n        sampling: 100.0  # 100% in dev, lower in prod\n        zipkin:\n          address: jaeger-collector.istio-system:9411\n---\n# Jaeger deployment\napiVersion: apps\u002Fv1\nkind: Deployment\nmetadata:\n  name: jaeger\n  namespace: istio-system\nspec:\n  selector:\n    matchLabels:\n      app: jaeger\n  template:\n    metadata:\n      labels:\n        app: jaeger\n    spec:\n      containers:\n        - name: jaeger\n          image: jaegertracing\u002Fall-in-one:1.50\n          ports:\n            - containerPort: 5775   # UDP\n            - containerPort: 6831   # Thrift\n            - containerPort: 6832   # Thrift\n            - containerPort: 5778   # Config\n            - containerPort: 16686  # UI\n            - containerPort: 14268  # HTTP\n            - containerPort: 14250  # gRPC\n            - containerPort: 9411   # Zipkin\n          env:\n            - name: COLLECTOR_ZIPKIN_HOST_PORT\n              value: \":9411\"\n```\n\n### Template 4: Linkerd Viz Dashboard\n\n```bash\n# Install Linkerd viz extension\nlinkerd viz install | kubectl apply -f -\n\n# Access dashboard\nlinkerd viz dashboard\n\n# CLI commands for observability\n# Top requests\nlinkerd viz top deploy\u002Fmy-app\n\n# Per-route metrics\nlinkerd viz routes deploy\u002Fmy-app --to deploy\u002Fbackend\n\n# Live traffic inspection\nlinkerd viz tap deploy\u002Fmy-app --to deploy\u002Fbackend\n\n# Service edges (dependencies)\nlinkerd viz edges deployment -n my-namespace\n```\n\n### Template 5: Grafana Dashboard JSON\n\n```json\n{\n  \"dashboard\": {\n    \"title\": \"Service Mesh Overview\",\n    \"panels\": [\n      {\n        \"title\": \"Request Rate\",\n        \"type\": \"graph\",\n        \"targets\": [\n          {\n            \"expr\": \"sum(rate(istio_requests_total{reporter=\\\"destination\\\"}[5m])) by (destination_service_name)\",\n            \"legendFormat\": \"{{destination_service_name}}\"\n          }\n        ]\n      },\n      {\n        \"title\": \"Error Rate\",\n        \"type\": \"gauge\",\n        \"targets\": [\n          {\n            \"expr\": \"sum(rate(istio_requests_total{response_code=~\\\"5..\\\"}[5m])) \u002F sum(rate(istio_requests_total[5m])) * 100\"\n          }\n        ],\n        \"fieldConfig\": {\n          \"defaults\": {\n            \"thresholds\": {\n              \"steps\": [\n                {\"value\": 0, \"color\": \"green\"},\n                {\"value\": 1, \"color\": \"yellow\"},\n                {\"value\": 5, \"color\": \"red\"}\n              ]\n            }\n          }\n        }\n      },\n      {\n        \"title\": \"P99 Latency\",\n        \"type\": \"graph\",\n        \"targets\": [\n          {\n            \"expr\": \"histogram_quantile(0.99, sum(rate(istio_request_duration_milliseconds_bucket{reporter=\\\"destination\\\"}[5m])) by (le, destination_service_name))\",\n            \"legendFormat\": \"{{destination_service_name}}\"\n          }\n        ]\n      },\n      {\n        \"title\": \"Service Topology\",\n        \"type\": \"nodeGraph\",\n        \"targets\": [\n          {\n            \"expr\": \"sum(rate(istio_requests_total{reporter=\\\"destination\\\"}[5m])) by (source_workload, destination_service_name)\"\n          }\n        ]\n      }\n    ]\n  }\n}\n```\n\n### Template 6: Kiali Service Mesh Visualization\n\n```yaml\n# Kiali installation\napiVersion: kiali.io\u002Fv1alpha1\nkind: Kiali\nmetadata:\n  name: kiali\n  namespace: istio-system\nspec:\n  auth:\n    strategy: anonymous  # or openid, token\n  deployment:\n    accessible_namespaces:\n      - \"**\"\n  external_services:\n    prometheus:\n      url: http:\u002F\u002Fprometheus.istio-system:9090\n    tracing:\n      url: http:\u002F\u002Fjaeger-query.istio-system:16686\n    grafana:\n      url: http:\u002F\u002Fgrafana.istio-system:3000\n```\n\n### Template 7: OpenTelemetry Integration\n\n```yaml\n# OpenTelemetry Collector for mesh\napiVersion: v1\nkind: ConfigMap\nmetadata:\n  name: otel-collector-config\ndata:\n  config.yaml: |\n    receivers:\n      otlp:\n        protocols:\n          grpc:\n            endpoint: 0.0.0.0:4317\n          http:\n            endpoint: 0.0.0.0:4318\n      zipkin:\n        endpoint: 0.0.0.0:9411\n\n    processors:\n      batch:\n        timeout: 10s\n\n    exporters:\n      jaeger:\n        endpoint: jaeger-collector:14250\n        tls:\n          insecure: true\n      prometheus:\n        endpoint: 0.0.0.0:8889\n\n    service:\n      pipelines:\n        traces:\n          receivers: [otlp, zipkin]\n          processors: [batch]\n          exporters: [jaeger]\n        metrics:\n          receivers: [otlp]\n          processors: [batch]\n          exporters: [prometheus]\n---\n# Istio Telemetry v2 with OTel\napiVersion: telemetry.istio.io\u002Fv1alpha1\nkind: Telemetry\nmetadata:\n  name: mesh-default\n  namespace: istio-system\nspec:\n  tracing:\n    - providers:\n        - name: otel\n      randomSamplingPercentage: 10\n```\n\n## Alerting Rules\n\n```yaml\napiVersion: monitoring.coreos.com\u002Fv1\nkind: PrometheusRule\nmetadata:\n  name: mesh-alerts\n  namespace: istio-system\nspec:\n  groups:\n    - name: mesh.rules\n      rules:\n        - alert: HighErrorRate\n          expr: |\n            sum(rate(istio_requests_total{response_code=~\"5..\"}[5m])) by (destination_service_name)\n            \u002F sum(rate(istio_requests_total[5m])) by (destination_service_name) > 0.05\n          for: 5m\n          labels:\n            severity: critical\n          annotations:\n            summary: \"High error rate for {{ $labels.destination_service_name }}\"\n\n        - alert: HighLatency\n          expr: |\n            histogram_quantile(0.99, sum(rate(istio_request_duration_milliseconds_bucket[5m]))\n            by (le, destination_service_name)) > 1000\n          for: 5m\n          labels:\n            severity: warning\n          annotations:\n            summary: \"High P99 latency for {{ $labels.destination_service_name }}\"\n\n        - alert: MeshCertExpiring\n          expr: |\n            (certmanager_certificate_expiration_timestamp_seconds - time()) \u002F 86400 \u003C 7\n          labels:\n            severity: warning\n          annotations:\n            summary: \"Mesh certificate expiring in less than 7 days\"\n```\n\n## Best Practices\n\n### Do's\n- **Sample appropriately** - 100% in dev, 1-10% in prod\n- **Use trace context** - Propagate headers consistently\n- **Set up alerts** - For golden signals\n- **Correlate metrics\u002Ftraces** - Use exemplars\n- **Retain strategically** - Hot\u002Fcold storage tiers\n\n### Don'ts\n- **Don't over-sample** - Storage costs add up\n- **Don't ignore cardinality** - Limit label values\n- **Don't skip dashboards** - Visualize dependencies\n- **Don't forget costs** - Monitor observability costs\n\n## Resources\n\n- [Istio Observability](https:\u002F\u002Fistio.io\u002Flatest\u002Fdocs\u002Ftasks\u002Fobservability\u002F)\n- [Linkerd Observability](https:\u002F\u002Flinkerd.io\u002F2.14\u002Ffeatures\u002Fdashboard\u002F)\n- [OpenTelemetry](https:\u002F\u002Fopentelemetry.io\u002F)\n- [Kiali](https:\u002F\u002Fkiali.io\u002F)\n","# Service Mesh Observability\n\nComplete guide to observability patterns for Istio, Linkerd, and service mesh deployments.\n\n## When to Use This Skill\n\n- Setting up distributed tracing across services\n- Implementing service mesh metrics and dashboards\n- Debugging latency and error issues\n- Defining SLOs for service communication\n- Visualizing service dependencies\n- Troubleshooting mesh connectivity\n\n## Core Concepts\n\n### 1. Three Pillars of Observability\n\n```\n┌─────────────────────────────────────────────────────┐\n│                  Observability                       │\n├─────────────────┬─────────────────┬─────────────────┤\n│     Metrics     │     Traces      │      Logs       │\n│                 │                 │                 │\n│ • Request rate  │ • Span context  │ • Access logs   │\n│ • Error rate    │ • Latency       │ • Error details │\n│ • Latency P50   │ • Dependencies  │ • Debug info    │\n│ • Saturation    │ • Bottlenecks   │ • Audit trail   │\n└─────────────────┴─────────────────┴─────────────────┘\n```\n\n### 2. Golden Signals for Mesh\n\n| Signal | Description | Alert Threshold |\n|--------|-------------|-----------------|\n| **Latency** | Request duration P50, P99 | P99 > 500ms |\n| **Traffic** | Requests per second | Anomaly detection |\n| **Errors** | 5xx error rate | > 1% |\n| **Saturation** | Resource utilization | > 80% |\n\n## Templates\n\n### Template 1: Istio with Prometheus & Grafana\n\n```yaml\n# Install Prometheus\napiVersion: v1\nkind: ConfigMap\nmetadata:\n  name: prometheus\n  namespace: istio-system\ndata:\n  prometheus.yml: |\n    global:\n      scrape_interval: 15s\n    scrape_configs:\n      - job_name: 'istio-mesh'\n        kubernetes_sd_configs:\n          - role: endpoints\n            namespaces:\n              names:\n                - istio-system\n        relabel_configs:\n          - source_labels: [__meta_kubernetes_service_name]\n            action: keep\n            regex: istio-telemetry\n---\n# ServiceMonitor for Prometheus Operator\napiVersion: monitoring.coreos.com\u002Fv1\nkind: ServiceMonitor\nmetadata:\n  name: istio-mesh\n  namespace: istio-system\nspec:\n  selector:\n    matchLabels:\n      app: istiod\n  endpoints:\n    - port: http-monitoring\n      interval: 15s\n```\n\n### Template 2: Key Istio Metrics Queries\n\n```promql\n# Request rate by service\nsum(rate(istio_requests_total{reporter=\"destination\"}[5m])) by (destination_service_name)\n\n# Error rate (5xx)\nsum(rate(istio_requests_total{reporter=\"destination\", response_code=~\"5..\"}[5m]))\n  \u002F sum(rate(istio_requests_total{reporter=\"destination\"}[5m])) * 100\n\n# P99 latency\nhistogram_quantile(0.99,\n  sum(rate(istio_request_duration_milliseconds_bucket{reporter=\"destination\"}[5m]))\n  by (le, destination_service_name))\n\n# TCP connections\nsum(istio_tcp_connections_opened_total{reporter=\"destination\"}) by (destination_service_name)\n\n# Request size\nhistogram_quantile(0.99,\n  sum(rate(istio_request_bytes_bucket{reporter=\"destination\"}[5m]))\n  by (le, destination_service_name))\n```\n\n### Template 3: Jaeger Distributed Tracing\n\n```yaml\n# Jaeger installation for Istio\napiVersion: install.istio.io\u002Fv1alpha1\nkind: IstioOperator\nspec:\n  meshConfig:\n    enableTracing: true\n    defaultConfig:\n      tracing:\n        sampling: 100.0  # 100% in dev, lower in prod\n        zipkin:\n          address: jaeger-collector.istio-system:9411\n---\n# Jaeger deployment\napiVersion: apps\u002Fv1\nkind: Deployment\nmetadata:\n  name: jaeger\n  namespace: istio-system\nspec:\n  selector:\n    matchLabels:\n      app: jaeger\n  template:\n    metadata:\n      labels:\n        app: jaeger\n    spec:\n      containers:\n        - name: jaeger\n          image: jaegertracing\u002Fall-in-one:1.50\n          ports:\n            - containerPort: 5775   # UDP\n            - containerPort: 6831   # Thrift\n            - containerPort: 6832   # Thrift\n            - containerPort: 5778   # Config\n            - containerPort: 16686  # UI\n            - containerPort: 14268  # HTTP\n            - containerPort: 14250  # gRPC\n            - containerPort: 9411   # Zipkin\n          env:\n            - name: COLLECTOR_ZIPKIN_HOST_PORT\n              value: \":9411\"\n```\n\n### Template 4: Linkerd Viz Dashboard\n\n```bash\n# Install Linkerd viz extension\nlinkerd viz install | kubectl apply -f -\n\n# Access dashboard\nlinkerd viz dashboard\n\n# CLI commands for observability\n# Top requests\nlinkerd viz top deploy\u002Fmy-app\n\n# Per-route metrics\nlinkerd viz routes deploy\u002Fmy-app --to deploy\u002Fbackend\n\n# Live traffic inspection\nlinkerd viz tap deploy\u002Fmy-app --to deploy\u002Fbackend\n\n# Service edges (dependencies)\nlinkerd viz edges deployment -n my-namespace\n```\n\n### Template 5: Grafana Dashboard JSON\n\n```json\n{\n  \"dashboard\": {\n    \"title\": \"Service Mesh Overview\",\n    \"panels\": [\n      {\n        \"title\": \"Request Rate\",\n        \"type\": \"graph\",\n        \"targets\": [\n          {\n            \"expr\": \"sum(rate(istio_requests_total{reporter=\\\"destination\\\"}[5m])) by (destination_service_name)\",\n            \"legendFormat\": \"{{destination_service_name}}\"\n          }\n        ]\n      },\n      {\n        \"title\": \"Error Rate\",\n        \"type\": \"gauge\",\n        \"targets\": [\n          {\n            \"expr\": \"sum(rate(istio_requests_total{response_code=~\\\"5..\\\"}[5m])) \u002F sum(rate(istio_requests_total[5m])) * 100\"\n          }\n        ],\n        \"fieldConfig\": {\n          \"defaults\": {\n            \"thresholds\": {\n              \"steps\": [\n                {\"value\": 0, \"color\": \"green\"},\n                {\"value\": 1, \"color\": \"yellow\"},\n                {\"value\": 5, \"color\": \"red\"}\n              ]\n            }\n          }\n        }\n      },\n      {\n        \"title\": \"P99 Latency\",\n        \"type\": \"graph\",\n        \"targets\": [\n          {\n            \"expr\": \"histogram_quantile(0.99, sum(rate(istio_request_duration_milliseconds_bucket{reporter=\\\"destination\\\"}[5m])) by (le, destination_service_name))\",\n            \"legendFormat\": \"{{destination_service_name}}\"\n          }\n        ]\n      },\n      {\n        \"title\": \"Service Topology\",\n        \"type\": \"nodeGraph\",\n        \"targets\": [\n          {\n            \"expr\": \"sum(rate(istio_requests_total{reporter=\\\"destination\\\"}[5m])) by (source_workload, destination_service_name)\"\n          }\n        ]\n      }\n    ]\n  }\n}\n```\n\n### Template 6: Kiali Service Mesh Visualization\n\n```yaml\n# Kiali installation\napiVersion: kiali.io\u002Fv1alpha1\nkind: Kiali\nmetadata:\n  name: kiali\n  namespace: istio-system\nspec:\n  auth:\n    strategy: anonymous  # or openid, token\n  deployment:\n    accessible_namespaces:\n      - \"**\"\n  external_services:\n    prometheus:\n      url: http:\u002F\u002Fprometheus.istio-system:9090\n    tracing:\n      url: http:\u002F\u002Fjaeger-query.istio-system:16686\n    grafana:\n      url: http:\u002F\u002Fgrafana.istio-system:3000\n```\n\n### Template 7: OpenTelemetry Integration\n\n```yaml\n# OpenTelemetry Collector for mesh\napiVersion: v1\nkind: ConfigMap\nmetadata:\n  name: otel-collector-config\ndata:\n  config.yaml: |\n    receivers:\n      otlp:\n        protocols:\n          grpc:\n            endpoint: 0.0.0.0:4317\n          http:\n            endpoint: 0.0.0.0:4318\n      zipkin:\n        endpoint: 0.0.0.0:9411\n\n    processors:\n      batch:\n        timeout: 10s\n\n    exporters:\n      jaeger:\n        endpoint: jaeger-collector:14250\n        tls:\n          insecure: true\n      prometheus:\n        endpoint: 0.0.0.0:8889\n\n    service:\n      pipelines:\n        traces:\n          receivers: [otlp, zipkin]\n          processors: [batch]\n          exporters: [jaeger]\n        metrics:\n          receivers: [otlp]\n          processors: [batch]\n          exporters: [prometheus]\n---\n# Istio Telemetry v2 with OTel\napiVersion: telemetry.istio.io\u002Fv1alpha1\nkind: Telemetry\nmetadata:\n  name: mesh-default\n  namespace: istio-system\nspec:\n  tracing:\n    - providers:\n        - name: otel\n      randomSamplingPercentage: 10\n```\n\n## Alerting Rules\n\n```yaml\napiVersion: monitoring.coreos.com\u002Fv1\nkind: PrometheusRule\nmetadata:\n  name: mesh-alerts\n  namespace: istio-system\nspec:\n  groups:\n    - name: mesh.rules\n      rules:\n        - alert: HighErrorRate\n          expr: |\n            sum(rate(istio_requests_total{response_code=~\"5..\"}[5m])) by (destination_service_name)\n            \u002F sum(rate(istio_requests_total[5m])) by (destination_service_name) > 0.05\n          for: 5m\n          labels:\n            severity: critical\n          annotations:\n            summary: \"High error rate for {{ $labels.destination_service_name }}\"\n\n        - alert: HighLatency\n          expr: |\n            histogram_quantile(0.99, sum(rate(istio_request_duration_milliseconds_bucket[5m]))\n            by (le, destination_service_name)) > 1000\n          for: 5m\n          labels:\n            severity: warning\n          annotations:\n            summary: \"High P99 latency for {{ $labels.destination_service_name }}\"\n\n        - alert: MeshCertExpiring\n          expr: |\n            (certmanager_certificate_expiration_timestamp_seconds - time()) \u002F 86400 \u003C 7\n          labels:\n            severity: warning\n          annotations:\n            summary: \"Mesh certificate expiring in less than 7 days\"\n```\n\n## Best Practices\n\n### Do's\n- **Sample appropriately** - 100% in dev, 1-10% in prod\n- **Use trace context** - Propagate headers consistently\n- **Set up alerts** - For golden signals\n- **Correlate metrics\u002Ftraces** - Use exemplars\n- **Retain strategically** - Hot\u002Fcold storage tiers\n\n### Don'ts\n- **Don't over-sample** - Storage costs add up\n- **Don't ignore cardinality** - Limit label values\n- **Don't skip dashboards** - Visualize dependencies\n- **Don't forget costs** - Monitor observability costs\n\n## Resources\n\n- [Istio Observability](https:\u002F\u002Fistio.io\u002Flatest\u002Fdocs\u002Ftasks\u002Fobservability\u002F)\n- [Linkerd Observability](https:\u002F\u002Flinkerd.io\u002F2.14\u002Ffeatures\u002Fdashboard\u002F)\n- [OpenTelemetry](https:\u002F\u002Fopentelemetry.io\u002F)\n- [Kiali](https:\u002F\u002Fkiali.io\u002F)\n",{"name":5,"description":7},"main","7850740bd837adb32f0a109ab2af82482196c6f2","skills\u002F_collections\u002Fwshobson-agents\u002Fplugins\u002Fcloud-infrastructure\u002Fskills\u002Fservice-mesh-observability",1,"https:\u002F\u002Fgithub.com\u002Fshengdabai\u002FTony-Claude-Code-Skills","https:\u002F\u002Fzturnsgo.com","https:\u002F\u002Fgithub.com\u002Fshengdabai","https:\u002F\u002Fzturnsgo.com\u002F","AI × education creator — producer, not consumer. Taught 6,000+ learners; shipping learning tools & daily essays with Claude Code, practicing @xiaolai's way 🥋","2026-11-01 21:28:23",{"source":8,"skillName":5,"commands":60,"prompt":70,"zipAvailable":71},[61,64,67],{"tool":62,"command":63},"npx","npx skills add shengdabai\u002FTony-Claude-Code-Skills --skill service-mesh-observability",{"tool":65,"command":66},"bunx","bunx skills add shengdabai\u002FTony-Claude-Code-Skills --skill service-mesh-observability",{"tool":68,"command":69},"pnpm","pnpm dlx skills add shengdabai\u002FTony-Claude-Code-Skills --skill service-mesh-observability","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fshengdabai\u002FTony-Claude-Code-Skills\u002Fblob\u002Fmain\u002Fskills\u002F_collections\u002Fwshobson-agents\u002Fplugins\u002Fcloud-infrastructure\u002Fskills\u002Fservice-mesh-observability\u002FSKILL.md",true,[],[74,91,125,150,172,192],{"skillNo":75,"name":76,"nameZh":6,"description":77,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":78,"categories":79,"keywords":83,"publishedAt":44},"01M70P17DAD4C1C47NPH6A96EM","xiaolai-methodology","以李笑来(Li Xiaolai)的思考方式、方法论与表达风格,为用户做全方位 1-on-1 教练指导,覆盖创业、赚钱、投资、学习、自学、读书写作、用 AI、以及人生心态与自我管理。当用户提到 \"李笑来\"、\"笑来\"、\"笑来老师\"、\"扮演李笑来\"、\"找笑来聊聊\"、\"笑来怎么看\"、\"xiaolai\"、\"把时间当作朋友\"、\"通往财富自由之路\"、\"定投改变命运\"、\"韭菜的自我修养\"、\"自学是门手艺\"、\"让时间陪你慢慢变富\"、\"七年就是一辈子\"、\"元认知\"、\"活在未来\"、\"复利\u002F长期主义\"、\"践行\"、\"痴迷改进\"、\"个人商业模式\u002F出售时间\"、\"睡后收入\"、\"定投\"、\"财富自由\"、\"操作系统升级\"、\"最少必要知识\"、\"北极星提示词\"、\"用 AI 该怎么学\u002F思考\" 等任一触发词,或当用户带着关于创业\u002F赚钱\u002F投资\u002F学习\u002F职业\u002F重大人生决策的困惑、希望被人用笑来式的「逻辑 + 大白话 + 类比 + 重新定义 + 践行导向」来点醒和指导时,自动进入李笑来教练模式。","https:\u002F\u002Fgithub.com\u002Fshengdabai\u002FTony-Claude-Code-Skills\u002Fblob\u002Fmain\u002Fxiaolai-methodology\u002FSKILL.md",[80],{"categoryNo":81,"categoryName":82,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000018","写作与文案",[84,85,86,87,88,89,90],"methodology","xiaolai","xiaolai methodology","朋友","投资","writing","收入",{"skillNo":92,"name":93,"nameZh":6,"description":94,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":95,"categories":96,"keywords":105,"publishedAt":44},"01M70P13NB9YP7ACJR1S861CDS","zread","Produce and consume a wiki-style knowledge base for a code repository via the `zread` CLI and its on-disk output under `.\u002F.zread\u002Fwiki\u002F`. Use this skill whenever the user wants to understand, onboard onto, explore, summarize, map, or get an overview of an unfamiliar codebase; asks for architecture docs, a project wiki, a repo walkthrough, module\u002Fpackage explanations, or \"what does this repo do\"; wants to generate, regenerate, resume, browse, or serve code documentation locally; or mentions zread \u002F zread.ai directly. Also use it proactively before diving into a large unknown repo — if `.\u002F.zread\u002Fwiki\u002Fcurrent` exists, read the generated pages instead of crawling source file-by-file; if it doesn't, consider offering to run `zread generate`. The trigger is the intent (understand a codebase through generated docs), not the literal word \"zread\".","https:\u002F\u002Fgithub.com\u002Fshengdabai\u002FTony-Claude-Code-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fzread\u002FSKILL.md",[97,100],{"categoryNo":98,"categoryName":99,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发",{"categoryNo":101,"categoryName":102,"taxonomyType":103,"taxonomyTypeDesc":104},"01JBSEEDCAT000000000000030","开发工程师","PROFESSION","适用职业",[93,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124],"knowledge","wiki","explore","walkthrough","project","get","knowledge base","run","generate","intent","cli","map","documentation","project wiki","disk","architecture","code","unknown","generated",{"skillNo":126,"name":127,"nameZh":6,"description":128,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":129,"categories":130,"keywords":135,"publishedAt":44},"01M70P10S4SWMZQ8BJAFBFDRW3","youtube","Launch the YouTube Creator Agent to auto-generate videos.\nUse when: user types \u002Fyoutube, wants to create YouTube videos,\ngenerate video content, or upload to YouTube.\nKeywords: youtube, video, 视频, 创作视频, 发布视频","https:\u002F\u002Fgithub.com\u002Fshengdabai\u002FTony-Claude-Code-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fyoutube\u002FSKILL.md",[131,132],{"categoryNo":98,"categoryName":99,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":133,"categoryName":134,"taxonomyType":103,"taxonomyTypeDesc":104},"01JBSEEDCAT000000000000036","内容创作者",[127,136,137,138,139,140,141,142,114,143,144,145,38,30,146,147,148,149],"user","content","视频","creator","generate video","videos","launch","video content","create","upload","auto","types","Video","创作",{"skillNo":151,"name":152,"nameZh":6,"description":153,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":154,"categories":155,"keywords":157,"publishedAt":44},"01M70P0YE95D8BACZCGV8BK90K","youtube-script-sync","Sync, update, or optimize Tony's GetNote knowledge base `Youtube视频逐字稿` by turning each parent recording or first-person idea note into an idempotent child note containing a directly recordable YouTube long-video or Shorts script. Use when the user says “更新\u002F同步\u002F优化 Youtube视频逐字稿知识库”, or says “更新\u002F同步\u002F优化该知识库” while this knowledge base is the active context.","https:\u002F\u002Fgithub.com\u002Fshengdabai\u002FTony-Claude-Code-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fyoutube-script-sync\u002FSKILL.md",[156],{"categoryNo":98,"categoryName":99,"taxonomyType":21,"taxonomyTypeDesc":22},[158,159,127,160,161,148,162,163,164,165,166,167,168,169,112,170,38,30,106,171],"sync","script","youtube script sync","recording","shorts","first","base","person","update","active","child","optimize","idempotent","long",{"skillNo":173,"name":174,"nameZh":6,"description":175,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":176,"categories":177,"keywords":182,"publishedAt":44},"01M70P0WMV5XT0EEC0N445PW07","writing-skills","How to write SKILL.md files that trigger reliably and teach effectively. Use when creating, improving, or reviewing Claude Code skills.","https:\u002F\u002Fgithub.com\u002Fshengdabai\u002FTony-Claude-Code-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fxiaolai\u002Fnlpm\u002Fskills\u002Fnlpm\u002Fwriting-skills\u002FSKILL.md",[178,179,180,181],{"categoryNo":81,"categoryName":82,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":98,"categoryName":99,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":101,"categoryName":102,"taxonomyType":103,"taxonomyTypeDesc":104},{"categoryNo":133,"categoryName":134,"taxonomyType":103,"taxonomyTypeDesc":104},[183,89,184,185,186,187,122,38,30,188,189,190,191],"writing skills","how","teach","write skill","write","claude code skills","files","how to","trigger",{"skillNo":193,"name":194,"nameZh":6,"description":195,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":196,"categories":197,"keywords":200,"publishedAt":44},"01M70P0SJFR4YVJQBGMHKGSKXT","writing-rules","How to write .claude\u002Frules\u002F files that Claude actually follows. Use when creating, improving, or reviewing project rules.","https:\u002F\u002Fgithub.com\u002Fshengdabai\u002FTony-Claude-Code-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fxiaolai\u002Fnlpm\u002Fskills\u002Fnlpm\u002Fwriting-rules\u002FSKILL.md",[198,199],{"categoryNo":81,"categoryName":82,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":133,"categoryName":134,"taxonomyType":103,"taxonomyTypeDesc":104},[201,89,202,110,203,189,38,184,187,30,190],"Rules","writing rules","project rules"]