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Use when building monitoring dashboards, visualizing metrics, or creating operational observability interfaces.","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\u002Fobservability-monitoring\u002Fskills\u002Fgrafana-dashboards\u002FSKILL.md",[18,23],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000013","分析与可视化","SCENARIO","使用场景",{"categoryNo":24,"categoryName":25,"taxonomyType":26,"taxonomyTypeDesc":27},"01JBSEEDCAT000000000000030","开发工程师","PROFESSION","适用职业",[29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46],"grafana","dashboards","grafana dashboards","application","Production","use","system","manage","real-time","for","observability","metrics","create","Real-Time Visualization","monitoring","when","time","visualization","2026-11-10 10:12:30",false,"---\nname: grafana-dashboards\ndescription: Create and manage production Grafana dashboards for real-time visualization of system and application metrics. Use when building monitoring dashboards, visualizing metrics, or creating operational observability interfaces.\n---\n\n# Grafana Dashboards\n\nCreate and manage production-ready Grafana dashboards for comprehensive system observability.\n\n## Purpose\n\nDesign effective Grafana dashboards for monitoring applications, infrastructure, and business metrics.\n\n## When to Use\n\n- Visualize Prometheus metrics\n- Create custom dashboards\n- Implement SLO dashboards\n- Monitor infrastructure\n- Track business KPIs\n\n## Dashboard Design Principles\n\n### 1. Hierarchy of Information\n```\n┌─────────────────────────────────────┐\n│  Critical Metrics (Big Numbers)     │\n├─────────────────────────────────────┤\n│  Key Trends (Time Series)           │\n├─────────────────────────────────────┤\n│  Detailed Metrics (Tables\u002FHeatmaps) │\n└─────────────────────────────────────┘\n```\n\n### 2. RED Method (Services)\n- **Rate** - Requests per second\n- **Errors** - Error rate\n- **Duration** - Latency\u002Fresponse time\n\n### 3. USE Method (Resources)\n- **Utilization** - % time resource is busy\n- **Saturation** - Queue length\u002Fwait time\n- **Errors** - Error count\n\n## Dashboard Structure\n\n### API Monitoring Dashboard\n\n```json\n{\n  \"dashboard\": {\n    \"title\": \"API Monitoring\",\n    \"tags\": [\"api\", \"production\"],\n    \"timezone\": \"browser\",\n    \"refresh\": \"30s\",\n    \"panels\": [\n      {\n        \"title\": \"Request Rate\",\n        \"type\": \"graph\",\n        \"targets\": [\n          {\n            \"expr\": \"sum(rate(http_requests_total[5m])) by (service)\",\n            \"legendFormat\": \"{{service}}\"\n          }\n        ],\n        \"gridPos\": {\"x\": 0, \"y\": 0, \"w\": 12, \"h\": 8}\n      },\n      {\n        \"title\": \"Error Rate %\",\n        \"type\": \"graph\",\n        \"targets\": [\n          {\n            \"expr\": \"(sum(rate(http_requests_total{status=~\\\"5..\\\"}[5m])) \u002F sum(rate(http_requests_total[5m]))) * 100\",\n            \"legendFormat\": \"Error Rate\"\n          }\n        ],\n        \"alert\": {\n          \"conditions\": [\n            {\n              \"evaluator\": {\"params\": [5], \"type\": \"gt\"},\n              \"operator\": {\"type\": \"and\"},\n              \"query\": {\"params\": [\"A\", \"5m\", \"now\"]},\n              \"type\": \"query\"\n            }\n          ]\n        },\n        \"gridPos\": {\"x\": 12, \"y\": 0, \"w\": 12, \"h\": 8}\n      },\n      {\n        \"title\": \"P95 Latency\",\n        \"type\": \"graph\",\n        \"targets\": [\n          {\n            \"expr\": \"histogram_quantile(0.95, sum(rate(http_request_duration_seconds_bucket[5m])) by (le, service))\",\n            \"legendFormat\": \"{{service}}\"\n          }\n        ],\n        \"gridPos\": {\"x\": 0, \"y\": 8, \"w\": 24, \"h\": 8}\n      }\n    ]\n  }\n}\n```\n\n**Reference:** See `assets\u002Fapi-dashboard.json`\n\n## Panel Types\n\n### 1. Stat Panel (Single Value)\n```json\n{\n  \"type\": \"stat\",\n  \"title\": \"Total Requests\",\n  \"targets\": [{\n    \"expr\": \"sum(http_requests_total)\"\n  }],\n  \"options\": {\n    \"reduceOptions\": {\n      \"values\": false,\n      \"calcs\": [\"lastNotNull\"]\n    },\n    \"orientation\": \"auto\",\n    \"textMode\": \"auto\",\n    \"colorMode\": \"value\"\n  },\n  \"fieldConfig\": {\n    \"defaults\": {\n      \"thresholds\": {\n        \"mode\": \"absolute\",\n        \"steps\": [\n          {\"value\": 0, \"color\": \"green\"},\n          {\"value\": 80, \"color\": \"yellow\"},\n          {\"value\": 90, \"color\": \"red\"}\n        ]\n      }\n    }\n  }\n}\n```\n\n### 2. Time Series Graph\n```json\n{\n  \"type\": \"graph\",\n  \"title\": \"CPU Usage\",\n  \"targets\": [{\n    \"expr\": \"100 - (avg by (instance) (rate(node_cpu_seconds_total{mode=\\\"idle\\\"}[5m])) * 100)\"\n  }],\n  \"yaxes\": [\n    {\"format\": \"percent\", \"max\": 100, \"min\": 0},\n    {\"format\": \"short\"}\n  ]\n}\n```\n\n### 3. Table Panel\n```json\n{\n  \"type\": \"table\",\n  \"title\": \"Service Status\",\n  \"targets\": [{\n    \"expr\": \"up\",\n    \"format\": \"table\",\n    \"instant\": true\n  }],\n  \"transformations\": [\n    {\n      \"id\": \"organize\",\n      \"options\": {\n        \"excludeByName\": {\"Time\": true},\n        \"indexByName\": {},\n        \"renameByName\": {\n          \"instance\": \"Instance\",\n          \"job\": \"Service\",\n          \"Value\": \"Status\"\n        }\n      }\n    }\n  ]\n}\n```\n\n### 4. Heatmap\n```json\n{\n  \"type\": \"heatmap\",\n  \"title\": \"Latency Heatmap\",\n  \"targets\": [{\n    \"expr\": \"sum(rate(http_request_duration_seconds_bucket[5m])) by (le)\",\n    \"format\": \"heatmap\"\n  }],\n  \"dataFormat\": \"tsbuckets\",\n  \"yAxis\": {\n    \"format\": \"s\"\n  }\n}\n```\n\n## Variables\n\n### Query Variables\n```json\n{\n  \"templating\": {\n    \"list\": [\n      {\n        \"name\": \"namespace\",\n        \"type\": \"query\",\n        \"datasource\": \"Prometheus\",\n        \"query\": \"label_values(kube_pod_info, namespace)\",\n        \"refresh\": 1,\n        \"multi\": false\n      },\n      {\n        \"name\": \"service\",\n        \"type\": \"query\",\n        \"datasource\": \"Prometheus\",\n        \"query\": \"label_values(kube_service_info{namespace=\\\"$namespace\\\"}, service)\",\n        \"refresh\": 1,\n        \"multi\": true\n      }\n    ]\n  }\n}\n```\n\n### Use Variables in Queries\n```\nsum(rate(http_requests_total{namespace=\"$namespace\", service=~\"$service\"}[5m]))\n```\n\n## Alerts in Dashboards\n\n```json\n{\n  \"alert\": {\n    \"name\": \"High Error Rate\",\n    \"conditions\": [\n      {\n        \"evaluator\": {\n          \"params\": [5],\n          \"type\": \"gt\"\n        },\n        \"operator\": {\"type\": \"and\"},\n        \"query\": {\n          \"params\": [\"A\", \"5m\", \"now\"]\n        },\n        \"reducer\": {\"type\": \"avg\"},\n        \"type\": \"query\"\n      }\n    ],\n    \"executionErrorState\": \"alerting\",\n    \"for\": \"5m\",\n    \"frequency\": \"1m\",\n    \"message\": \"Error rate is above 5%\",\n    \"noDataState\": \"no_data\",\n    \"notifications\": [\n      {\"uid\": \"slack-channel\"}\n    ]\n  }\n}\n```\n\n## Dashboard Provisioning\n\n**dashboards.yml:**\n```yaml\napiVersion: 1\n\nproviders:\n  - name: 'default'\n    orgId: 1\n    folder: 'General'\n    type: file\n    disableDeletion: false\n    updateIntervalSeconds: 10\n    allowUiUpdates: true\n    options:\n      path: \u002Fetc\u002Fgrafana\u002Fdashboards\n```\n\n## Common Dashboard Patterns\n\n### Infrastructure Dashboard\n\n**Key Panels:**\n- CPU utilization per node\n- Memory usage per node\n- Disk I\u002FO\n- Network traffic\n- Pod count by namespace\n- Node status\n\n**Reference:** See `assets\u002Finfrastructure-dashboard.json`\n\n### Database Dashboard\n\n**Key Panels:**\n- Queries per second\n- Connection pool usage\n- Query latency (P50, P95, P99)\n- Active connections\n- Database size\n- Replication lag\n- Slow queries\n\n**Reference:** See `assets\u002Fdatabase-dashboard.json`\n\n### Application Dashboard\n\n**Key Panels:**\n- Request rate\n- Error rate\n- Response time (percentiles)\n- Active users\u002Fsessions\n- Cache hit rate\n- Queue length\n\n## Best Practices\n\n1. **Start with templates** (Grafana community dashboards)\n2. **Use consistent naming** for panels and variables\n3. **Group related metrics** in rows\n4. **Set appropriate time ranges** (default: Last 6 hours)\n5. **Use variables** for flexibility\n6. **Add panel descriptions** for context\n7. **Configure units** correctly\n8. **Set meaningful thresholds** for colors\n9. **Use consistent colors** across dashboards\n10. **Test with different time ranges**\n\n## Dashboard as Code\n\n### Terraform Provisioning\n\n```hcl\nresource \"grafana_dashboard\" \"api_monitoring\" {\n  config_json = file(\"${path.module}\u002Fdashboards\u002Fapi-monitoring.json\")\n  folder      = grafana_folder.monitoring.id\n}\n\nresource \"grafana_folder\" \"monitoring\" {\n  title = \"Production Monitoring\"\n}\n```\n\n### Ansible Provisioning\n\n```yaml\n- name: Deploy Grafana dashboards\n  copy:\n    src: \"{{ item }}\"\n    dest: \u002Fetc\u002Fgrafana\u002Fdashboards\u002F\n  with_fileglob:\n    - \"dashboards\u002F*.json\"\n  notify: restart grafana\n```\n\n## Reference Files\n\n- `assets\u002Fapi-dashboard.json` - API monitoring dashboard\n- `assets\u002Finfrastructure-dashboard.json` - Infrastructure dashboard\n- `assets\u002Fdatabase-dashboard.json` - Database monitoring dashboard\n- `references\u002Fdashboard-design.md` - Dashboard design guide\n\n## Related Skills\n\n- `prometheus-configuration` - For metric collection\n- `slo-implementation` - For SLO dashboards\n","# Grafana Dashboards\n\nCreate and manage production-ready Grafana dashboards for comprehensive system observability.\n\n## Purpose\n\nDesign effective Grafana dashboards for monitoring applications, infrastructure, and business metrics.\n\n## When to Use\n\n- Visualize Prometheus metrics\n- Create custom dashboards\n- Implement SLO dashboards\n- Monitor infrastructure\n- Track business KPIs\n\n## Dashboard Design Principles\n\n### 1. Hierarchy of Information\n```\n┌─────────────────────────────────────┐\n│  Critical Metrics (Big Numbers)     │\n├─────────────────────────────────────┤\n│  Key Trends (Time Series)           │\n├─────────────────────────────────────┤\n│  Detailed Metrics (Tables\u002FHeatmaps) │\n└─────────────────────────────────────┘\n```\n\n### 2. RED Method (Services)\n- **Rate** - Requests per second\n- **Errors** - Error rate\n- **Duration** - Latency\u002Fresponse time\n\n### 3. USE Method (Resources)\n- **Utilization** - % time resource is busy\n- **Saturation** - Queue length\u002Fwait time\n- **Errors** - Error count\n\n## Dashboard Structure\n\n### API Monitoring Dashboard\n\n```json\n{\n  \"dashboard\": {\n    \"title\": \"API Monitoring\",\n    \"tags\": [\"api\", \"production\"],\n    \"timezone\": \"browser\",\n    \"refresh\": \"30s\",\n    \"panels\": [\n      {\n        \"title\": \"Request Rate\",\n        \"type\": \"graph\",\n        \"targets\": [\n          {\n            \"expr\": \"sum(rate(http_requests_total[5m])) by (service)\",\n            \"legendFormat\": \"{{service}}\"\n          }\n        ],\n        \"gridPos\": {\"x\": 0, \"y\": 0, \"w\": 12, \"h\": 8}\n      },\n      {\n        \"title\": \"Error Rate %\",\n        \"type\": \"graph\",\n        \"targets\": [\n          {\n            \"expr\": \"(sum(rate(http_requests_total{status=~\\\"5..\\\"}[5m])) \u002F sum(rate(http_requests_total[5m]))) * 100\",\n            \"legendFormat\": \"Error Rate\"\n          }\n        ],\n        \"alert\": {\n          \"conditions\": [\n            {\n              \"evaluator\": {\"params\": [5], \"type\": \"gt\"},\n              \"operator\": {\"type\": \"and\"},\n              \"query\": {\"params\": [\"A\", \"5m\", \"now\"]},\n              \"type\": \"query\"\n            }\n          ]\n        },\n        \"gridPos\": {\"x\": 12, \"y\": 0, \"w\": 12, \"h\": 8}\n      },\n      {\n        \"title\": \"P95 Latency\",\n        \"type\": \"graph\",\n        \"targets\": [\n          {\n            \"expr\": \"histogram_quantile(0.95, sum(rate(http_request_duration_seconds_bucket[5m])) by (le, service))\",\n            \"legendFormat\": \"{{service}}\"\n          }\n        ],\n        \"gridPos\": {\"x\": 0, \"y\": 8, \"w\": 24, \"h\": 8}\n      }\n    ]\n  }\n}\n```\n\n**Reference:** See `assets\u002Fapi-dashboard.json`\n\n## Panel Types\n\n### 1. Stat Panel (Single Value)\n```json\n{\n  \"type\": \"stat\",\n  \"title\": \"Total Requests\",\n  \"targets\": [{\n    \"expr\": \"sum(http_requests_total)\"\n  }],\n  \"options\": {\n    \"reduceOptions\": {\n      \"values\": false,\n      \"calcs\": [\"lastNotNull\"]\n    },\n    \"orientation\": \"auto\",\n    \"textMode\": \"auto\",\n    \"colorMode\": \"value\"\n  },\n  \"fieldConfig\": {\n    \"defaults\": {\n      \"thresholds\": {\n        \"mode\": \"absolute\",\n        \"steps\": [\n          {\"value\": 0, \"color\": \"green\"},\n          {\"value\": 80, \"color\": \"yellow\"},\n          {\"value\": 90, \"color\": \"red\"}\n        ]\n      }\n    }\n  }\n}\n```\n\n### 2. Time Series Graph\n```json\n{\n  \"type\": \"graph\",\n  \"title\": \"CPU Usage\",\n  \"targets\": [{\n    \"expr\": \"100 - (avg by (instance) (rate(node_cpu_seconds_total{mode=\\\"idle\\\"}[5m])) * 100)\"\n  }],\n  \"yaxes\": [\n    {\"format\": \"percent\", \"max\": 100, \"min\": 0},\n    {\"format\": \"short\"}\n  ]\n}\n```\n\n### 3. Table Panel\n```json\n{\n  \"type\": \"table\",\n  \"title\": \"Service Status\",\n  \"targets\": [{\n    \"expr\": \"up\",\n    \"format\": \"table\",\n    \"instant\": true\n  }],\n  \"transformations\": [\n    {\n      \"id\": \"organize\",\n      \"options\": {\n        \"excludeByName\": {\"Time\": true},\n        \"indexByName\": {},\n        \"renameByName\": {\n          \"instance\": \"Instance\",\n          \"job\": \"Service\",\n          \"Value\": \"Status\"\n        }\n      }\n    }\n  ]\n}\n```\n\n### 4. Heatmap\n```json\n{\n  \"type\": \"heatmap\",\n  \"title\": \"Latency Heatmap\",\n  \"targets\": [{\n    \"expr\": \"sum(rate(http_request_duration_seconds_bucket[5m])) by (le)\",\n    \"format\": \"heatmap\"\n  }],\n  \"dataFormat\": \"tsbuckets\",\n  \"yAxis\": {\n    \"format\": \"s\"\n  }\n}\n```\n\n## Variables\n\n### Query Variables\n```json\n{\n  \"templating\": {\n    \"list\": [\n      {\n        \"name\": \"namespace\",\n        \"type\": \"query\",\n        \"datasource\": \"Prometheus\",\n        \"query\": \"label_values(kube_pod_info, namespace)\",\n        \"refresh\": 1,\n        \"multi\": false\n      },\n      {\n        \"name\": \"service\",\n        \"type\": \"query\",\n        \"datasource\": \"Prometheus\",\n        \"query\": \"label_values(kube_service_info{namespace=\\\"$namespace\\\"}, service)\",\n        \"refresh\": 1,\n        \"multi\": true\n      }\n    ]\n  }\n}\n```\n\n### Use Variables in Queries\n```\nsum(rate(http_requests_total{namespace=\"$namespace\", service=~\"$service\"}[5m]))\n```\n\n## Alerts in Dashboards\n\n```json\n{\n  \"alert\": {\n    \"name\": \"High Error Rate\",\n    \"conditions\": [\n      {\n        \"evaluator\": {\n          \"params\": [5],\n          \"type\": \"gt\"\n        },\n        \"operator\": {\"type\": \"and\"},\n        \"query\": {\n          \"params\": [\"A\", \"5m\", \"now\"]\n        },\n        \"reducer\": {\"type\": \"avg\"},\n        \"type\": \"query\"\n      }\n    ],\n    \"executionErrorState\": \"alerting\",\n    \"for\": \"5m\",\n    \"frequency\": \"1m\",\n    \"message\": \"Error rate is above 5%\",\n    \"noDataState\": \"no_data\",\n    \"notifications\": [\n      {\"uid\": \"slack-channel\"}\n    ]\n  }\n}\n```\n\n## Dashboard Provisioning\n\n**dashboards.yml:**\n```yaml\napiVersion: 1\n\nproviders:\n  - name: 'default'\n    orgId: 1\n    folder: 'General'\n    type: file\n    disableDeletion: false\n    updateIntervalSeconds: 10\n    allowUiUpdates: true\n    options:\n      path: \u002Fetc\u002Fgrafana\u002Fdashboards\n```\n\n## Common Dashboard Patterns\n\n### Infrastructure Dashboard\n\n**Key Panels:**\n- CPU utilization per node\n- Memory usage per node\n- Disk I\u002FO\n- Network traffic\n- Pod count by namespace\n- Node status\n\n**Reference:** See `assets\u002Finfrastructure-dashboard.json`\n\n### Database Dashboard\n\n**Key Panels:**\n- Queries per second\n- Connection pool usage\n- Query latency (P50, P95, P99)\n- Active connections\n- Database size\n- Replication lag\n- Slow queries\n\n**Reference:** See `assets\u002Fdatabase-dashboard.json`\n\n### Application Dashboard\n\n**Key Panels:**\n- Request rate\n- Error rate\n- Response time (percentiles)\n- Active users\u002Fsessions\n- Cache hit rate\n- Queue length\n\n## Best Practices\n\n1. **Start with templates** (Grafana community dashboards)\n2. **Use consistent naming** for panels and variables\n3. **Group related metrics** in rows\n4. **Set appropriate time ranges** (default: Last 6 hours)\n5. **Use variables** for flexibility\n6. **Add panel descriptions** for context\n7. **Configure units** correctly\n8. **Set meaningful thresholds** for colors\n9. **Use consistent colors** across dashboards\n10. **Test with different time ranges**\n\n## Dashboard as Code\n\n### Terraform Provisioning\n\n```hcl\nresource \"grafana_dashboard\" \"api_monitoring\" {\n  config_json = file(\"${path.module}\u002Fdashboards\u002Fapi-monitoring.json\")\n  folder      = grafana_folder.monitoring.id\n}\n\nresource \"grafana_folder\" \"monitoring\" {\n  title = \"Production Monitoring\"\n}\n```\n\n### Ansible Provisioning\n\n```yaml\n- name: Deploy Grafana dashboards\n  copy:\n    src: \"{{ item }}\"\n    dest: \u002Fetc\u002Fgrafana\u002Fdashboards\u002F\n  with_fileglob:\n    - \"dashboards\u002F*.json\"\n  notify: restart grafana\n```\n\n## Reference Files\n\n- `assets\u002Fapi-dashboard.json` - API monitoring dashboard\n- `assets\u002Finfrastructure-dashboard.json` - Infrastructure dashboard\n- `assets\u002Fdatabase-dashboard.json` - Database monitoring dashboard\n- `references\u002Fdashboard-design.md` - Dashboard design guide\n\n## Related Skills\n\n- `prometheus-configuration` - For metric collection\n- `slo-implementation` - For SLO dashboards\n",{"name":5,"description":7},"main","7850740bd837adb32f0a109ab2af82482196c6f2","skills\u002F_collections\u002Fwshobson-agents\u002Fplugins\u002Fobservability-monitoring\u002Fskills\u002Fgrafana-dashboards",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":63,"prompt":73,"zipAvailable":74},[64,67,70],{"tool":65,"command":66},"npx","npx skills add shengdabai\u002FTony-Claude-Code-Skills --skill grafana-dashboards",{"tool":68,"command":69},"bunx","bunx skills add shengdabai\u002FTony-Claude-Code-Skills --skill grafana-dashboards",{"tool":71,"command":72},"pnpm","pnpm dlx skills add shengdabai\u002FTony-Claude-Code-Skills --skill grafana-dashboards","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\u002Fobservability-monitoring\u002Fskills\u002Fgrafana-dashboards\u002FSKILL.md",true,[],[77,94,124,148,170,190],{"skillNo":78,"name":79,"nameZh":6,"description":80,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":81,"categories":82,"keywords":86,"publishedAt":47},"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",[83],{"categoryNo":84,"categoryName":85,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000018","写作与文案",[87,88,89,90,91,92,93],"methodology","xiaolai","xiaolai methodology","朋友","投资","writing","收入",{"skillNo":95,"name":96,"nameZh":6,"description":97,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":98,"categories":99,"keywords":104,"publishedAt":47},"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",[100,103],{"categoryNo":101,"categoryName":102,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发",{"categoryNo":24,"categoryName":25,"taxonomyType":26,"taxonomyTypeDesc":27},[96,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123],"knowledge","wiki","explore","walkthrough","project","get","knowledge base","run","generate","intent","cli","map","documentation","project wiki","disk","architecture","code","unknown","generated",{"skillNo":125,"name":126,"nameZh":6,"description":127,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":128,"categories":129,"keywords":134,"publishedAt":47},"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",[130,131],{"categoryNo":101,"categoryName":102,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":132,"categoryName":133,"taxonomyType":26,"taxonomyTypeDesc":27},"01JBSEEDCAT000000000000036","内容创作者",[126,135,136,137,138,139,140,141,113,142,41,143,44,34,144,145,146,147],"user","content","视频","creator","generate video","videos","launch","video content","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":47},"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":101,"categoryName":102,"taxonomyType":21,"taxonomyTypeDesc":22},[156,157,126,158,159,146,160,161,162,163,164,165,166,167,111,168,44,34,105,169],"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":47},"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":84,"categoryName":85,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":101,"categoryName":102,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":24,"categoryName":25,"taxonomyType":26,"taxonomyTypeDesc":27},{"categoryNo":132,"categoryName":133,"taxonomyType":26,"taxonomyTypeDesc":27},[181,92,182,183,184,185,121,44,34,186,187,188,189],"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":47},"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":84,"categoryName":85,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":132,"categoryName":133,"taxonomyType":26,"taxonomyTypeDesc":27},[199,92,200,109,201,187,44,182,185,34,188],"Rules","writing rules","project rules"]