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\"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## Do not use this skill when\n\n- The task is unrelated to prometheus configuration\n- You need a different domain or tool outside this scope\n\n## Instructions\n\n- Clarify goals, constraints, and required inputs.\n- Apply relevant best practices and validate outcomes.\n- Provide actionable steps and verification.\n- If detailed examples are required, open `resources\u002Fimplementation-playbook.md`.\n\n## Purpose\n\nConfigure Prometheus for comprehensive metric collection, alerting, and monitoring of infrastructure and applications.\n\n## Use this skill when\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,"metadata":43,"description":7},{"risk":35,"source":32,"date_added":44},"2026-02-27","main","2b749c82b5d11fac39d9a6e021ce3f5b8a541bd1","cli-tool\u002Fcomponents\u002Fskills\u002Fdevelopment\u002Fprometheus-configuration",3931,"https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates","https:\u002F\u002Faitmpl.com","https:\u002F\u002Fgithub.com\u002Fdavila7","https:\u002F\u002Fdanielavila.me","Building AI dev tools with LLMs","2026-11-14 06:14:46",{"source":8,"skillName":5,"commands":56,"prompt":66,"zipAvailable":67},[57,60,63],{"tool":58,"command":59},"npx","npx skills add davila7\u002Fclaude-code-templates --skill prometheus-configuration",{"tool":61,"command":62},"bunx","bunx skills add davila7\u002Fclaude-code-templates --skill prometheus-configuration",{"tool":64,"command":65},"pnpm","pnpm dlx skills add davila7\u002Fclaude-code-templates --skill prometheus-configuration","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fdevelopment\u002Fprometheus-configuration\u002FSKILL.md",true,[69],{"path":70,"resourceType":71,"resourceTypeDesc":72,"sizeBytes":73,"sourceHtmlUrl":74},"reference\u002Fworkflows.md","REFERENCE","参考文档",5126,"https:\u002F\u002Fgithub.com\u002Fmatheusnorjosa\u002Faprender_sistema\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fci-github-actions\u002Freference\u002Fworkflows.md",[76,106,133,166,201,225],{"skillNo":77,"name":78,"nameZh":6,"description":79,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":80,"categories":81,"keywords":85,"publishedAt":38},"01M70NHBTQ8BV0A2SCAZXEPHCX","wealthville-pool-scoring","Score DeFi liquidity pools before providing liquidity. Returns a 0-100 pool score and an Enter\u002FHold\u002FExit\u002FReduce\u002FAvoid verdict with calibrated confidence for ~68,800 Solana pools and 575 EVM pools, plus a public miss-inclusive track record. Use when asked whether a pool is worth LPing into, which pools look best right now, or how accurate the scores have actually been.","https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fweb-data\u002Fwealthville-pool-scoring\u002FSKILL.md",[82],{"categoryNo":83,"categoryName":84,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发",[86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105],"scoring","pool","wealthville pool scoring","liquidity","which","for","exit","now","use","when","reduce","with","record","track","verdict","evm","solana","how","public","look",{"skillNo":107,"name":108,"nameZh":6,"description":109,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":110,"categories":111,"keywords":113,"publishedAt":38},"01M70MB6VR8ERJ4EM8D5KHBMEV","technical-debt-auditor","Scans a codebase and produces a quantified technical debt report with a prioritized remediation plan. Analyzes dead code, TODO\u002FFIXME\u002FHACK markers, dependency staleness, complexity hotspots, code duplication signals, test coverage gaps, unused exports, and outdated patterns. Use this skill when the user asks to audit their codebase for tech debt, wants a health check of their code quality, says things like \"where should I focus refactoring\", \"find code smells\", \"audit my codebase\", \"what technical debt do we have\", \"prioritize cleanup work\", or asks about code quality metrics. Also trigger when the user mentions \"code rot\", \"legacy cleanup\", \"refactoring priorities\", or wants to understand the overall health of a project before a major effort. Trigger even if the user doesn't say \"technical debt\" explicitly — any request to systematically assess code quality and identify improvement priorities belongs here.","https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fdevelopment\u002Ftechnical-debt-auditor\u002FSKILL.md",[112],{"categoryNo":83,"categoryName":84,"taxonomyType":21,"taxonomyTypeDesc":22},[114,115,116,117,118,119,120,121,122,123,124,95,125,126,127,128,129,130,131,132],"technical debt","debt","technical","technical debt auditor","auditor","coverage","complexity","markers","project","cleanup","unused","code","todo","work","plan","focus","signals","audit","dependency",{"skillNo":134,"name":135,"nameZh":6,"description":136,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":137,"categories":138,"keywords":148,"publishedAt":38},"01M70KPYH9QNHCNME5GJQGE22K","readonly-sql-guard","Make an agent's database access provably read-only. Use when an agent runs caller-supplied SQL against a production\u002FERP\u002Fanalytics database (a \"query\" MCP tool, text-to-SQL, an admin console), or when reviewing DB-access code for write\u002FDDL\u002Fside-effect\u002Ftransaction-escape risks. Checks what a statement CALLS, not just its shape.","https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fdatabase\u002Freadonly-sql-guard\u002FSKILL.md",[139,142,143],{"categoryNo":140,"categoryName":141,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000010","后端与接口",{"categoryNo":83,"categoryName":84,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":144,"categoryName":145,"taxonomyType":146,"taxonomyTypeDesc":147},"01JBSEEDCAT000000000000033","数据分析师","PROFESSION","适用职业",[149,150,151,152,153,154,155,91,156,157,158,159,160,161,162,94,163,164,95,165],"readonly","guard","sql guard","sql","readonly sql guard","erp","effect","read-only","db","just","tool","calls","only","MCP","access","database","query",{"skillNo":167,"name":168,"nameZh":6,"description":169,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":170,"licenseFileUrl":171,"sourceHtmlUrl":172,"categories":173,"keywords":177,"publishedAt":38},"01M6AFY6F7CC2BBZP1QD6VTNVC","web-artifacts-builder","Suite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn\u002Fui). Use for complex artifacts requiring state management, routing, or shadcn\u002Fui components - not for simple single-file HTML\u002FJSX artifacts.","Apache-2.0","https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Futilities\u002Fweb-artifacts-builder\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Futilities\u002Fweb-artifacts-builder\u002FSKILL.md",[174],{"categoryNo":175,"categoryName":176,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000009","前端开发",[178,179,180,181,182,183,184,185,186,187,188,189,190,191,192,193,194,195,196,197,198,199,91,200],"artifacts builder","web","web artifacts builder","artifacts","builder","state","routing","state management","component","css","frontend","ui","Tools","file","components","shadcn","react","Tailwind","suite","jsx","html","single-file","ui components",{"skillNo":202,"name":203,"nameZh":6,"description":204,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":170,"licenseFileUrl":205,"sourceHtmlUrl":206,"categories":207,"keywords":212,"publishedAt":38},"01M6AFWF33SFV9Z3SF4PEEE4BF","webapp-testing","Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.","https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fsecurity\u002Fwebapp-testing\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fsecurity\u002Fwebapp-testing\u002FSKILL.md",[208,211],{"categoryNo":209,"categoryName":210,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000008","测试与质量",{"categoryNo":175,"categoryName":176,"taxonomyType":21,"taxonomyTypeDesc":22},[213,214,215,216,217,179,218,188,189,219,220,221,222,91,223,97,224],"webapp testing","testing","webapp","browser","playwright","applications","debugging","toolkit","logs","screenshots","local","behavior",{"skillNo":226,"name":227,"nameZh":6,"description":228,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":170,"licenseFileUrl":229,"sourceHtmlUrl":230,"categories":231,"keywords":239,"publishedAt":38},"01M6AF67Q67JJJ5V51JR2P52KA","discernment-nudge","After you give a substantive answer or draft that the user may act on — advice or recommendations, drafted artifacts such as goals, plans, pitches, proposals, or emails, estimates or projections, analysis or interpretation of data, factual claims they may rely on, or a multi-step argument — invoke this skill BEFORE finalizing your reply and then, if it applies, append 2-3 short follow-up questions, each tied to something specific in what you just produced, that help the user check key facts, probe the reasoning or assumptions, and notice missing context. Do this at most once per conversation. Skip it when the user asked a trivial how-to or simple lookup, wants a purely educational explanation, asked you only to format, convert, or assemble a file from content they provided, is writing code they will run, is doing creative writing or casual chat, or already asked you to double-check, cite, or review — the skill file explains these boundaries and the exact output format.","https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fproductivity\u002Fdiscernment-nudge\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fproductivity\u002Fdiscernment-nudge\u002FSKILL.md",[232,235,236],{"categoryNo":233,"categoryName":234,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000018","写作与文案",{"categoryNo":83,"categoryName":84,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":237,"categoryName":238,"taxonomyType":146,"taxonomyTypeDesc":147},"01JBSEEDCAT000000000000036","内容创作者",[240,241,242,243,244,245,246,247,181,248,191,125,249,250,251,252,253,161,254,95,255,256,257,258,259,103,260],"discernment nudge","nudge","interpretation","help","run","reasoning","data","writing","lookup","content","review","conversation","short","up","invoke","you","analysis","claims","argument","assemble","recommendations"]