[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M7167N6P1FVFMMVK4ZAWAM1Q":3,"skill-same:01M7167N6P1FVFMMVK4ZAWAM1Q":59},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":16,"categories":17,"keywords":18,"publishedAt":33,"linkOnly":34,"markdownContent":35,"markdownBody":36,"frontMatter":37,"refName":39,"commitSha":40,"skillDirectory":41,"forksCount":14,"repositoryHtmlUrl":42,"repositoryHomepageUrl":6,"ownerHtmlUrl":43,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":44,"install":45,"resources":58},"01M7167N6P1FVFMMVK4ZAWAM1Q","grafana-dashboards",null,"Create and manage production-ready Grafana dashboards for comprehensive system observability.","sapsapshen\u002Fai-memory-router","sapsapshen","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F20347959?v=4","01M6XDQEF1DP50DKF37H81J3J5","shenmian","01M6XDQEJPE41Y3DT2763X8ZJN",0,"MIT","https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router\u002Fblob\u002Fmain\u002Fskills-store\u002Fcursor\u002Fgrafana-dashboards\u002FSKILL.md",[],[19,20,21,22,23,24,25,26,27,28,29,30,31,32],"grafana","grafana dashboards","dashboards","create","observability","Production","system","ready","manage","community","production-ready","for","unknown","2026","2026-11-10 10:12:30",false,"---\nname: grafana-dashboards\ndescription: \"Create and manage production-ready Grafana dashboards for comprehensive system observability.\"\nrisk: unknown\nsource: community\ndate_added: \"2026-02-27\"\n---\n\n# Grafana Dashboards\n\nCreate and manage production-ready Grafana dashboards for comprehensive system observability.\n\n## Do not use this skill when\n\n- The task is unrelated to grafana dashboards\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\nDesign effective Grafana dashboards for monitoring applications, infrastructure, and business metrics.\n\n## Use this skill when\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## Do not use this skill when\n\n- The task is unrelated to grafana dashboards\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\nDesign effective Grafana dashboards for monitoring applications, infrastructure, and business metrics.\n\n## Use this skill when\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,"risk":31,"source":28,"date_added":38,"description":7},"2026-02-27","main","7a38d8e7073e61c16eda85681cb32fb68a8657a5","skills-store\u002Fcursor\u002Fgrafana-dashboards","https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router","https:\u002F\u002Fgithub.com\u002Fsapsapshen","2026-04-14 21:12:12",{"source":8,"skillName":5,"commands":46,"prompt":56,"zipAvailable":57},[47,50,53],{"tool":48,"command":49},"npx","npx skills add sapsapshen\u002Fai-memory-router --skill grafana-dashboards",{"tool":51,"command":52},"bunx","bunx skills add sapsapshen\u002Fai-memory-router --skill grafana-dashboards",{"tool":54,"command":55},"pnpm","pnpm dlx skills add sapsapshen\u002Fai-memory-router --skill grafana-dashboards","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router\u002Fblob\u002Fmain\u002Fskills-store\u002Fcursor\u002Fgrafana-dashboards\u002FSKILL.md",true,[],[60,84,110,120,133,152],{"skillNo":61,"name":62,"nameZh":6,"description":63,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":64,"categories":65,"keywords":71,"publishedAt":33},"01M71ATQRKG48SH06FQ697T5G9","wechat-search","Search WeChat Official Account articles using OpenClaw's web search and fetch capabilities with compliance-focused design.","https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router\u002Fblob\u002Fmain\u002Fskills-store\u002Fopenclaw\u002Fwechat-search-release\u002FSKILL.md",[66],{"categoryNo":67,"categoryName":68,"taxonomyType":69,"taxonomyTypeDesc":70},"01JBSEEDCAT000000000000037","律师与法务","PROFESSION","适用职业",[72,73,74,75,76,77,78,79,80,81,82,83],"wechat search","wechat","search","capabilities","openclaw","design","web search","compliance","web","official","fetch","with",{"skillNo":85,"name":86,"nameZh":6,"description":87,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":88,"categories":89,"keywords":90,"publishedAt":33},"01M71ATNAVGZB35PFYM2GC5N00","trend-tap","Real-time trending topics aggregator across 7 platforms (X\u002FTwitter, Reddit, Google Trends, Hacker News, Zhihu, Bilibili, Weibo). 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Do NOT use web_search — this skill already fetches live data from all platforms with zero API keys.","https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router\u002Fblob\u002Fmain\u002Fskills-store\u002Fopenclaw\u002Ftrend-tap\u002FSKILL.md",[],[91,92,93,94,95,96,74,97,98,99,100,101,102,103,104,105,106,107,108,109],"trend","trend tap","tap","api keys","Bash","time","trending","hacker","aggregator","do","when","brew","live","data","google","install","read","across","api",{"skillNo":111,"name":112,"nameZh":6,"description":113,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":114,"categories":115,"keywords":116,"publishedAt":33},"01M71ATJ9AM5KM15AA8PS302EB","trend-radar","Real-time trending topics aggregator across 7 platforms (X\u002FTwitter, Reddit, Google Trends, Hacker News, Zhihu, Bilibili, Weibo). Trigger: when user says 'trend', 'trends', 'trend pulse', '热点', '热搜', or asks what is trending\u002Fhot. Do NOT use web_search — this skill already fetches live data from all platforms with zero API keys.","https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router\u002Fblob\u002Fmain\u002Fskills-store\u002Fopenclaw\u002Ftrend-radar\u002FSKILL.md",[],[117,118,91,102,103,104,105,95,74,107,119,108,109,101,99,98,97,106,96,94],"trend radar","radar","pulse",{"skillNo":121,"name":122,"nameZh":6,"description":123,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":124,"categories":125,"keywords":126,"publishedAt":33},"01M71ATGF095N3EJM9G8SD0BB5","tech-news-daily","每日科技新闻汇——从全球多个 RSS 源抓取最新科技新闻，翻译（英→中）、去重、排版成每日简报。当用户询问科技新闻、科技新鲜事、每日科技、技术动态、Daily Tech News 或类似表达时触发此技能。","https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router\u002Fblob\u002Fmain\u002Fskills-store\u002Fopenclaw\u002Ftech-news-daily\u002FSKILL.md",[],[127,128,129,130,131,132],"news","tech","tech news daily","daily","rss","翻译",{"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":144,"publishedAt":33},"01M71ATFAEAMQ17M70NQNY7SR8","summarize","Summarize URLs or files with the summarize CLI (web, PDFs, images, audio, YouTube).","https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router\u002Fblob\u002Fmain\u002Fskills-store\u002Fopenclaw\u002Fsummarize\u002FSKILL.md",[139],{"categoryNo":140,"categoryName":141,"taxonomyType":142,"taxonomyTypeDesc":143},"01JBSEEDCAT000000000000021","资料检索与研究","SCENARIO","使用场景",[135,80,145,146,147,83,102,148,149,150,93,151,106],"Audio","cli","youtube","images","https","files","pdfs",{"skillNo":153,"name":154,"nameZh":6,"description":155,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":156,"categories":157,"keywords":158,"publishedAt":33},"01M71ATDNS3R0M4H936PACQAWZ","sonoscli","Control Sonos speakers (discover\u002Fstatus\u002Fplay\u002Fvolume\u002Fgroup).","https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router\u002Fblob\u002Fmain\u002Fskills-store\u002Fopenclaw\u002Fsonoscli\u002FSKILL.md",[],[154,159,160,161,106,162,149,163,164,165,166,167],"status","play","go","latest","github","discover","control","cmd","volume"]