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Use when implementing metrics collection, setting up monitoring infrastructure, or configuring alerting systems.","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\u002Fwshobson-agents\u002Fplugins\u002Fobservability-monitoring\u002Fskills\u002Fprometheus-configuration\u002FSKILL.md",[18],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000011","运维与部署","SCENARIO","使用场景",[24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41],"prometheus configuration","configuration","prometheus","systems","use","applications","for","metrics","infrastructure","metric","storage","monitoring","alerting","collection","when","implementing","up","SET","2026-11-10 10:12:30",false,"---\nname: prometheus-configuration\ndescription: Set up Prometheus for comprehensive metric collection, storage, and monitoring of infrastructure and applications. Use when implementing metrics collection, setting up monitoring infrastructure, or configuring alerting systems.\n---\n\n# Prometheus Configuration\n\nComplete guide to Prometheus setup, metric collection, scrape configuration, and recording rules.\n\n## Purpose\n\nConfigure Prometheus for comprehensive metric collection, alerting, and monitoring of infrastructure and applications.\n\n## When to Use\n\n- Set up Prometheus monitoring\n- Configure metric scraping\n- Create recording rules\n- Design alert rules\n- Implement service discovery\n\n## Prometheus Architecture\n\n```\n┌──────────────┐\n│ Applications │ ← Instrumented with client libraries\n└──────┬───────┘\n       │ \u002Fmetrics endpoint\n       ↓\n┌──────────────┐\n│  Prometheus  │ ← Scrapes metrics periodically\n│    Server    │\n└──────┬───────┘\n       │\n       ├─→ AlertManager (alerts)\n       ├─→ Grafana (visualization)\n       └─→ Long-term storage (Thanos\u002FCortex)\n```\n\n## Installation\n\n### Kubernetes with Helm\n\n```bash\nhelm repo add prometheus-community https:\u002F\u002Fprometheus-community.github.io\u002Fhelm-charts\nhelm repo update\n\nhelm install prometheus prometheus-community\u002Fkube-prometheus-stack \\\n  --namespace monitoring \\\n  --create-namespace \\\n  --set prometheus.prometheusSpec.retention=30d \\\n  --set prometheus.prometheusSpec.storageVolumeSize=50Gi\n```\n\n### Docker Compose\n\n```yaml\nversion: '3.8'\nservices:\n  prometheus:\n    image: prom\u002Fprometheus:latest\n    ports:\n      - \"9090:9090\"\n    volumes:\n      - .\u002Fprometheus.yml:\u002Fetc\u002Fprometheus\u002Fprometheus.yml\n      - prometheus-data:\u002Fprometheus\n    command:\n      - '--config.file=\u002Fetc\u002Fprometheus\u002Fprometheus.yml'\n      - '--storage.tsdb.path=\u002Fprometheus'\n      - '--storage.tsdb.retention.time=30d'\n\nvolumes:\n  prometheus-data:\n```\n\n## Configuration File\n\n**prometheus.yml:**\n```yaml\nglobal:\n  scrape_interval: 15s\n  evaluation_interval: 15s\n  external_labels:\n    cluster: 'production'\n    region: 'us-west-2'\n\n# Alertmanager configuration\nalerting:\n  alertmanagers:\n    - static_configs:\n        - targets:\n          - alertmanager:9093\n\n# Load rules files\nrule_files:\n  - \u002Fetc\u002Fprometheus\u002Frules\u002F*.yml\n\n# Scrape configurations\nscrape_configs:\n  # Prometheus itself\n  - job_name: 'prometheus'\n    static_configs:\n      - targets: ['localhost:9090']\n\n  # Node exporters\n  - job_name: 'node-exporter'\n    static_configs:\n      - targets:\n        - 'node1:9100'\n        - 'node2:9100'\n        - 'node3:9100'\n    relabel_configs:\n      - source_labels: [__address__]\n        target_label: instance\n        regex: '([^:]+)(:[0-9]+)?'\n        replacement: '${1}'\n\n  # Kubernetes pods with annotations\n  - job_name: 'kubernetes-pods'\n    kubernetes_sd_configs:\n      - role: pod\n    relabel_configs:\n      - source_labels: [__meta_kubernetes_pod_annotation_prometheus_io_scrape]\n        action: keep\n        regex: true\n      - source_labels: [__meta_kubernetes_pod_annotation_prometheus_io_path]\n        action: replace\n        target_label: __metrics_path__\n        regex: (.+)\n      - source_labels: [__address__, __meta_kubernetes_pod_annotation_prometheus_io_port]\n        action: replace\n        regex: ([^:]+)(?::\\d+)?;(\\d+)\n        replacement: $1:$2\n        target_label: __address__\n      - source_labels: [__meta_kubernetes_namespace]\n        action: replace\n        target_label: namespace\n      - source_labels: [__meta_kubernetes_pod_name]\n        action: replace\n        target_label: pod\n\n  # Application metrics\n  - job_name: 'my-app'\n    static_configs:\n      - targets:\n        - 'app1.example.com:9090'\n        - 'app2.example.com:9090'\n    metrics_path: '\u002Fmetrics'\n    scheme: 'https'\n    tls_config:\n      ca_file: \u002Fetc\u002Fprometheus\u002Fca.crt\n      cert_file: \u002Fetc\u002Fprometheus\u002Fclient.crt\n      key_file: \u002Fetc\u002Fprometheus\u002Fclient.key\n```\n\n**Reference:** See `assets\u002Fprometheus.yml.template`\n\n## Scrape Configurations\n\n### Static Targets\n\n```yaml\nscrape_configs:\n  - job_name: 'static-targets'\n    static_configs:\n      - targets: ['host1:9100', 'host2:9100']\n        labels:\n          env: 'production'\n          region: 'us-west-2'\n```\n\n### File-based Service Discovery\n\n```yaml\nscrape_configs:\n  - job_name: 'file-sd'\n    file_sd_configs:\n      - files:\n        - \u002Fetc\u002Fprometheus\u002Ftargets\u002F*.json\n        - \u002Fetc\u002Fprometheus\u002Ftargets\u002F*.yml\n        refresh_interval: 5m\n```\n\n**targets\u002Fproduction.json:**\n```json\n[\n  {\n    \"targets\": [\"app1:9090\", \"app2:9090\"],\n    \"labels\": {\n      \"env\": \"production\",\n      \"service\": \"api\"\n    }\n  }\n]\n```\n\n### Kubernetes Service Discovery\n\n```yaml\nscrape_configs:\n  - job_name: 'kubernetes-services'\n    kubernetes_sd_configs:\n      - role: service\n    relabel_configs:\n      - source_labels: [__meta_kubernetes_service_annotation_prometheus_io_scrape]\n        action: keep\n        regex: true\n      - source_labels: [__meta_kubernetes_service_annotation_prometheus_io_scheme]\n        action: replace\n        target_label: __scheme__\n        regex: (https?)\n      - source_labels: [__meta_kubernetes_service_annotation_prometheus_io_path]\n        action: replace\n        target_label: __metrics_path__\n        regex: (.+)\n```\n\n**Reference:** See `references\u002Fscrape-configs.md`\n\n## Recording Rules\n\nCreate pre-computed metrics for frequently queried expressions:\n\n```yaml\n# \u002Fetc\u002Fprometheus\u002Frules\u002Frecording_rules.yml\ngroups:\n  - name: api_metrics\n    interval: 15s\n    rules:\n      # HTTP request rate per service\n      - record: job:http_requests:rate5m\n        expr: sum by (job) (rate(http_requests_total[5m]))\n\n      # Error rate percentage\n      - record: job:http_requests_errors:rate5m\n        expr: sum by (job) (rate(http_requests_total{status=~\"5..\"}[5m]))\n\n      - record: job:http_requests_error_rate:percentage\n        expr: |\n          (job:http_requests_errors:rate5m \u002F job:http_requests:rate5m) * 100\n\n      # P95 latency\n      - record: job:http_request_duration:p95\n        expr: |\n          histogram_quantile(0.95,\n            sum by (job, le) (rate(http_request_duration_seconds_bucket[5m]))\n          )\n\n  - name: resource_metrics\n    interval: 30s\n    rules:\n      # CPU utilization percentage\n      - record: instance:node_cpu:utilization\n        expr: |\n          100 - (avg by (instance) (rate(node_cpu_seconds_total{mode=\"idle\"}[5m])) * 100)\n\n      # Memory utilization percentage\n      - record: instance:node_memory:utilization\n        expr: |\n          100 - ((node_memory_MemAvailable_bytes \u002F node_memory_MemTotal_bytes) * 100)\n\n      # Disk usage percentage\n      - record: instance:node_disk:utilization\n        expr: |\n          100 - ((node_filesystem_avail_bytes \u002F node_filesystem_size_bytes) * 100)\n```\n\n**Reference:** See `references\u002Frecording-rules.md`\n\n## Alert Rules\n\n```yaml\n# \u002Fetc\u002Fprometheus\u002Frules\u002Falert_rules.yml\ngroups:\n  - name: availability\n    interval: 30s\n    rules:\n      - alert: ServiceDown\n        expr: up{job=\"my-app\"} == 0\n        for: 1m\n        labels:\n          severity: critical\n        annotations:\n          summary: \"Service {{ $labels.instance }} is down\"\n          description: \"{{ $labels.job }} has been down for more than 1 minute\"\n\n      - alert: HighErrorRate\n        expr: job:http_requests_error_rate:percentage > 5\n        for: 5m\n        labels:\n          severity: warning\n        annotations:\n          summary: \"High error rate for {{ $labels.job }}\"\n          description: \"Error rate is {{ $value }}% (threshold: 5%)\"\n\n      - alert: HighLatency\n        expr: job:http_request_duration:p95 > 1\n        for: 5m\n        labels:\n          severity: warning\n        annotations:\n          summary: \"High latency for {{ $labels.job }}\"\n          description: \"P95 latency is {{ $value }}s (threshold: 1s)\"\n\n  - name: resources\n    interval: 1m\n    rules:\n      - alert: HighCPUUsage\n        expr: instance:node_cpu:utilization > 80\n        for: 5m\n        labels:\n          severity: warning\n        annotations:\n          summary: \"High CPU usage on {{ $labels.instance }}\"\n          description: \"CPU usage is {{ $value }}%\"\n\n      - alert: HighMemoryUsage\n        expr: instance:node_memory:utilization > 85\n        for: 5m\n        labels:\n          severity: warning\n        annotations:\n          summary: \"High memory usage on {{ $labels.instance }}\"\n          description: \"Memory usage is {{ $value }}%\"\n\n      - alert: DiskSpaceLow\n        expr: instance:node_disk:utilization > 90\n        for: 5m\n        labels:\n          severity: critical\n        annotations:\n          summary: \"Low disk space on {{ $labels.instance }}\"\n          description: \"Disk usage is {{ $value }}%\"\n```\n\n## Validation\n\n```bash\n# Validate configuration\npromtool check config prometheus.yml\n\n# Validate rules\npromtool check rules \u002Fetc\u002Fprometheus\u002Frules\u002F*.yml\n\n# Test query\npromtool query instant http:\u002F\u002Flocalhost:9090 'up'\n```\n\n**Reference:** See `scripts\u002Fvalidate-prometheus.sh`\n\n## Best Practices\n\n1. **Use consistent naming** for metrics (prefix_name_unit)\n2. **Set appropriate scrape intervals** (15-60s typical)\n3. **Use recording rules** for expensive queries\n4. **Implement high availability** (multiple Prometheus instances)\n5. **Configure retention** based on storage capacity\n6. **Use relabeling** for metric cleanup\n7. **Monitor Prometheus itself**\n8. **Implement federation** for large deployments\n9. **Use Thanos\u002FCortex** for long-term storage\n10. **Document custom metrics**\n\n## Troubleshooting\n\n**Check scrape targets:**\n```bash\ncurl http:\u002F\u002Flocalhost:9090\u002Fapi\u002Fv1\u002Ftargets\n```\n\n**Check configuration:**\n```bash\ncurl http:\u002F\u002Flocalhost:9090\u002Fapi\u002Fv1\u002Fstatus\u002Fconfig\n```\n\n**Test query:**\n```bash\ncurl 'http:\u002F\u002Flocalhost:9090\u002Fapi\u002Fv1\u002Fquery?query=up'\n```\n\n## Reference Files\n\n- `assets\u002Fprometheus.yml.template` - Complete configuration template\n- `references\u002Fscrape-configs.md` - Scrape configuration patterns\n- `references\u002Frecording-rules.md` - Recording rule examples\n- `scripts\u002Fvalidate-prometheus.sh` - Validation script\n\n## Related Skills\n\n- `grafana-dashboards` - For visualization\n- `slo-implementation` - For SLO monitoring\n- `distributed-tracing` - For request tracing\n","# Prometheus Configuration\n\nComplete guide to Prometheus setup, metric collection, scrape configuration, and recording rules.\n\n## Purpose\n\nConfigure Prometheus for comprehensive metric collection, alerting, and monitoring of infrastructure and applications.\n\n## When to Use\n\n- Set up Prometheus monitoring\n- Configure metric scraping\n- Create recording rules\n- Design alert rules\n- Implement service discovery\n\n## Prometheus Architecture\n\n```\n┌──────────────┐\n│ Applications │ ← Instrumented with client libraries\n└──────┬───────┘\n       │ \u002Fmetrics endpoint\n       ↓\n┌──────────────┐\n│  Prometheus  │ ← Scrapes metrics periodically\n│    Server    │\n└──────┬───────┘\n       │\n       ├─→ AlertManager (alerts)\n       ├─→ Grafana (visualization)\n       └─→ Long-term storage (Thanos\u002FCortex)\n```\n\n## Installation\n\n### Kubernetes with Helm\n\n```bash\nhelm repo add prometheus-community https:\u002F\u002Fprometheus-community.github.io\u002Fhelm-charts\nhelm repo update\n\nhelm install prometheus prometheus-community\u002Fkube-prometheus-stack \\\n  --namespace monitoring \\\n  --create-namespace \\\n  --set prometheus.prometheusSpec.retention=30d \\\n  --set prometheus.prometheusSpec.storageVolumeSize=50Gi\n```\n\n### Docker Compose\n\n```yaml\nversion: '3.8'\nservices:\n  prometheus:\n    image: prom\u002Fprometheus:latest\n    ports:\n      - \"9090:9090\"\n    volumes:\n      - .\u002Fprometheus.yml:\u002Fetc\u002Fprometheus\u002Fprometheus.yml\n      - prometheus-data:\u002Fprometheus\n    command:\n      - '--config.file=\u002Fetc\u002Fprometheus\u002Fprometheus.yml'\n      - '--storage.tsdb.path=\u002Fprometheus'\n      - '--storage.tsdb.retention.time=30d'\n\nvolumes:\n  prometheus-data:\n```\n\n## Configuration File\n\n**prometheus.yml:**\n```yaml\nglobal:\n  scrape_interval: 15s\n  evaluation_interval: 15s\n  external_labels:\n    cluster: 'production'\n    region: 'us-west-2'\n\n# Alertmanager configuration\nalerting:\n  alertmanagers:\n    - static_configs:\n        - targets:\n          - alertmanager:9093\n\n# Load rules files\nrule_files:\n  - \u002Fetc\u002Fprometheus\u002Frules\u002F*.yml\n\n# Scrape configurations\nscrape_configs:\n  # Prometheus itself\n  - job_name: 'prometheus'\n    static_configs:\n      - targets: ['localhost:9090']\n\n  # Node exporters\n  - job_name: 'node-exporter'\n    static_configs:\n      - targets:\n        - 'node1:9100'\n        - 'node2:9100'\n        - 'node3:9100'\n    relabel_configs:\n      - source_labels: [__address__]\n        target_label: instance\n        regex: '([^:]+)(:[0-9]+)?'\n        replacement: '${1}'\n\n  # Kubernetes pods with annotations\n  - job_name: 'kubernetes-pods'\n    kubernetes_sd_configs:\n      - role: pod\n    relabel_configs:\n      - source_labels: [__meta_kubernetes_pod_annotation_prometheus_io_scrape]\n        action: keep\n        regex: true\n      - source_labels: [__meta_kubernetes_pod_annotation_prometheus_io_path]\n        action: replace\n        target_label: __metrics_path__\n        regex: (.+)\n      - source_labels: [__address__, __meta_kubernetes_pod_annotation_prometheus_io_port]\n        action: replace\n        regex: ([^:]+)(?::\\d+)?;(\\d+)\n        replacement: $1:$2\n        target_label: __address__\n      - source_labels: [__meta_kubernetes_namespace]\n        action: replace\n        target_label: namespace\n      - source_labels: [__meta_kubernetes_pod_name]\n        action: replace\n        target_label: pod\n\n  # Application metrics\n  - job_name: 'my-app'\n    static_configs:\n      - targets:\n        - 'app1.example.com:9090'\n        - 'app2.example.com:9090'\n    metrics_path: '\u002Fmetrics'\n    scheme: 'https'\n    tls_config:\n      ca_file: \u002Fetc\u002Fprometheus\u002Fca.crt\n      cert_file: \u002Fetc\u002Fprometheus\u002Fclient.crt\n      key_file: \u002Fetc\u002Fprometheus\u002Fclient.key\n```\n\n**Reference:** See `assets\u002Fprometheus.yml.template`\n\n## Scrape Configurations\n\n### Static Targets\n\n```yaml\nscrape_configs:\n  - job_name: 'static-targets'\n    static_configs:\n      - targets: ['host1:9100', 'host2:9100']\n        labels:\n          env: 'production'\n          region: 'us-west-2'\n```\n\n### File-based Service Discovery\n\n```yaml\nscrape_configs:\n  - job_name: 'file-sd'\n    file_sd_configs:\n      - files:\n        - \u002Fetc\u002Fprometheus\u002Ftargets\u002F*.json\n        - \u002Fetc\u002Fprometheus\u002Ftargets\u002F*.yml\n        refresh_interval: 5m\n```\n\n**targets\u002Fproduction.json:**\n```json\n[\n  {\n    \"targets\": [\"app1:9090\", \"app2:9090\"],\n    \"labels\": {\n      \"env\": \"production\",\n      \"service\": \"api\"\n    }\n  }\n]\n```\n\n### Kubernetes Service Discovery\n\n```yaml\nscrape_configs:\n  - job_name: 'kubernetes-services'\n    kubernetes_sd_configs:\n      - role: service\n    relabel_configs:\n      - source_labels: [__meta_kubernetes_service_annotation_prometheus_io_scrape]\n        action: keep\n        regex: true\n      - source_labels: [__meta_kubernetes_service_annotation_prometheus_io_scheme]\n        action: replace\n        target_label: __scheme__\n        regex: (https?)\n      - source_labels: [__meta_kubernetes_service_annotation_prometheus_io_path]\n        action: replace\n        target_label: __metrics_path__\n        regex: (.+)\n```\n\n**Reference:** See `references\u002Fscrape-configs.md`\n\n## Recording Rules\n\nCreate pre-computed metrics for frequently queried expressions:\n\n```yaml\n# \u002Fetc\u002Fprometheus\u002Frules\u002Frecording_rules.yml\ngroups:\n  - name: api_metrics\n    interval: 15s\n    rules:\n      # HTTP request rate per service\n      - record: job:http_requests:rate5m\n        expr: sum by (job) (rate(http_requests_total[5m]))\n\n      # Error rate percentage\n      - record: job:http_requests_errors:rate5m\n        expr: sum by (job) (rate(http_requests_total{status=~\"5..\"}[5m]))\n\n      - record: job:http_requests_error_rate:percentage\n        expr: |\n          (job:http_requests_errors:rate5m \u002F job:http_requests:rate5m) * 100\n\n      # P95 latency\n      - record: job:http_request_duration:p95\n        expr: |\n          histogram_quantile(0.95,\n            sum by (job, le) (rate(http_request_duration_seconds_bucket[5m]))\n          )\n\n  - name: resource_metrics\n    interval: 30s\n    rules:\n      # CPU utilization percentage\n      - record: instance:node_cpu:utilization\n        expr: |\n          100 - (avg by (instance) (rate(node_cpu_seconds_total{mode=\"idle\"}[5m])) * 100)\n\n      # Memory utilization percentage\n      - record: instance:node_memory:utilization\n        expr: |\n          100 - ((node_memory_MemAvailable_bytes \u002F node_memory_MemTotal_bytes) * 100)\n\n      # Disk usage percentage\n      - record: instance:node_disk:utilization\n        expr: |\n          100 - ((node_filesystem_avail_bytes \u002F node_filesystem_size_bytes) * 100)\n```\n\n**Reference:** See `references\u002Frecording-rules.md`\n\n## Alert Rules\n\n```yaml\n# \u002Fetc\u002Fprometheus\u002Frules\u002Falert_rules.yml\ngroups:\n  - name: availability\n    interval: 30s\n    rules:\n      - alert: ServiceDown\n        expr: up{job=\"my-app\"} == 0\n        for: 1m\n        labels:\n          severity: critical\n        annotations:\n          summary: \"Service {{ $labels.instance }} is down\"\n          description: \"{{ $labels.job }} has been down for more than 1 minute\"\n\n      - alert: HighErrorRate\n        expr: job:http_requests_error_rate:percentage > 5\n        for: 5m\n        labels:\n          severity: warning\n        annotations:\n          summary: \"High error rate for {{ $labels.job }}\"\n          description: \"Error rate is {{ $value }}% (threshold: 5%)\"\n\n      - alert: HighLatency\n        expr: job:http_request_duration:p95 > 1\n        for: 5m\n        labels:\n          severity: warning\n        annotations:\n          summary: \"High latency for {{ $labels.job }}\"\n          description: \"P95 latency is {{ $value }}s (threshold: 1s)\"\n\n  - name: resources\n    interval: 1m\n    rules:\n      - alert: HighCPUUsage\n        expr: instance:node_cpu:utilization > 80\n        for: 5m\n        labels:\n          severity: warning\n        annotations:\n          summary: \"High CPU usage on {{ $labels.instance }}\"\n          description: \"CPU usage is {{ $value }}%\"\n\n      - alert: HighMemoryUsage\n        expr: instance:node_memory:utilization > 85\n        for: 5m\n        labels:\n          severity: warning\n        annotations:\n          summary: \"High memory usage on {{ $labels.instance }}\"\n          description: \"Memory usage is {{ $value }}%\"\n\n      - alert: DiskSpaceLow\n        expr: instance:node_disk:utilization > 90\n        for: 5m\n        labels:\n          severity: critical\n        annotations:\n          summary: \"Low disk space on {{ $labels.instance }}\"\n          description: \"Disk usage is {{ $value }}%\"\n```\n\n## Validation\n\n```bash\n# Validate configuration\npromtool check config prometheus.yml\n\n# Validate rules\npromtool check rules \u002Fetc\u002Fprometheus\u002Frules\u002F*.yml\n\n# Test query\npromtool query instant http:\u002F\u002Flocalhost:9090 'up'\n```\n\n**Reference:** See `scripts\u002Fvalidate-prometheus.sh`\n\n## Best Practices\n\n1. **Use consistent naming** for metrics (prefix_name_unit)\n2. **Set appropriate scrape intervals** (15-60s typical)\n3. **Use recording rules** for expensive queries\n4. **Implement high availability** (multiple Prometheus instances)\n5. **Configure retention** based on storage capacity\n6. **Use relabeling** for metric cleanup\n7. **Monitor Prometheus itself**\n8. **Implement federation** for large deployments\n9. **Use Thanos\u002FCortex** for long-term storage\n10. **Document custom metrics**\n\n## Troubleshooting\n\n**Check scrape targets:**\n```bash\ncurl http:\u002F\u002Flocalhost:9090\u002Fapi\u002Fv1\u002Ftargets\n```\n\n**Check configuration:**\n```bash\ncurl http:\u002F\u002Flocalhost:9090\u002Fapi\u002Fv1\u002Fstatus\u002Fconfig\n```\n\n**Test query:**\n```bash\ncurl 'http:\u002F\u002Flocalhost:9090\u002Fapi\u002Fv1\u002Fquery?query=up'\n```\n\n## Reference Files\n\n- `assets\u002Fprometheus.yml.template` - Complete configuration template\n- `references\u002Fscrape-configs.md` - Scrape configuration patterns\n- `references\u002Frecording-rules.md` - Recording rule examples\n- `scripts\u002Fvalidate-prometheus.sh` - Validation script\n\n## Related Skills\n\n- `grafana-dashboards` - For visualization\n- `slo-implementation` - For SLO monitoring\n- `distributed-tracing` - For request tracing\n",{"name":5,"description":7},"main","7850740bd837adb32f0a109ab2af82482196c6f2","skills\u002Fwshobson-agents\u002Fplugins\u002Fobservability-monitoring\u002Fskills\u002Fprometheus-configuration",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":58,"prompt":68,"zipAvailable":69},[59,62,65],{"tool":60,"command":61},"npx","npx skills add shengdabai\u002FTony-Claude-Code-Skills --skill prometheus-configuration",{"tool":63,"command":64},"bunx","bunx skills add shengdabai\u002FTony-Claude-Code-Skills --skill prometheus-configuration",{"tool":66,"command":67},"pnpm","pnpm dlx skills add shengdabai\u002FTony-Claude-Code-Skills --skill prometheus-configuration","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fshengdabai\u002FTony-Claude-Code-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fwshobson-agents\u002Fplugins\u002Fobservability-monitoring\u002Fskills\u002Fprometheus-configuration\u002FSKILL.md",true,[],[72,89,123,148,170,190],{"skillNo":73,"name":74,"nameZh":6,"description":75,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":76,"categories":77,"keywords":81,"publishedAt":42},"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",[78],{"categoryNo":79,"categoryName":80,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000018","写作与文案",[82,83,84,85,86,87,88],"methodology","xiaolai","xiaolai methodology","朋友","投资","writing","收入",{"skillNo":90,"name":91,"nameZh":6,"description":92,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":93,"categories":94,"keywords":103,"publishedAt":42},"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",[95,98],{"categoryNo":96,"categoryName":97,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发",{"categoryNo":99,"categoryName":100,"taxonomyType":101,"taxonomyTypeDesc":102},"01JBSEEDCAT000000000000030","开发工程师","PROFESSION","适用职业",[91,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122],"knowledge","wiki","explore","walkthrough","project","get","knowledge base","run","generate","intent","cli","map","documentation","project wiki","disk","architecture","code","unknown","generated",{"skillNo":124,"name":125,"nameZh":6,"description":126,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":127,"categories":128,"keywords":133,"publishedAt":42},"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",[129,130],{"categoryNo":96,"categoryName":97,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":131,"categoryName":132,"taxonomyType":101,"taxonomyTypeDesc":102},"01JBSEEDCAT000000000000036","内容创作者",[125,134,135,136,137,138,139,140,112,141,142,143,38,28,144,145,146,147],"user","content","视频","creator","generate video","videos","launch","video content","create","upload","auto","types","Video","创作",{"skillNo":149,"name":150,"nameZh":6,"description":151,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":152,"categories":153,"keywords":155,"publishedAt":42},"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",[154],{"categoryNo":96,"categoryName":97,"taxonomyType":21,"taxonomyTypeDesc":22},[156,157,125,158,159,146,160,161,162,163,164,165,166,167,110,168,38,28,104,169],"sync","script","youtube script sync","recording","shorts","first","base","person","update","active","child","optimize","idempotent","long",{"skillNo":171,"name":172,"nameZh":6,"description":173,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":174,"categories":175,"keywords":180,"publishedAt":42},"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",[176,177,178,179],{"categoryNo":79,"categoryName":80,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":96,"categoryName":97,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":99,"categoryName":100,"taxonomyType":101,"taxonomyTypeDesc":102},{"categoryNo":131,"categoryName":132,"taxonomyType":101,"taxonomyTypeDesc":102},[181,87,182,183,184,185,120,38,28,186,187,188,189],"writing skills","how","teach","write skill","write","claude code skills","files","how to","trigger",{"skillNo":191,"name":192,"nameZh":6,"description":193,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":194,"categories":195,"keywords":198,"publishedAt":42},"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",[196,197],{"categoryNo":79,"categoryName":80,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":131,"categoryName":132,"taxonomyType":101,"taxonomyTypeDesc":102},[199,87,200,108,201,187,38,182,185,28,188],"Rules","writing rules","project rules"]