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Use when users want to check service status, view metrics, monitor performance, or verify deployments are healthy.","zapabob\u002FSkills","zapabob","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F130830376?v=4","01M6DBMYZAGRTFQDSQYW3W764P","峯岸 亮","01M6DBMZ3GKDSJ01NZ9XTZD7JD",2,"MIT","https:\u002F\u002Fgithub.com\u002Fzapabob\u002FSkills\u002Fblob\u002Fmain\u002Farchive\u002Fskill-md-reviewed\u002Fsha256\u002F47\u002F47feee39216ea8e629c7f163a67edd94d1a3f3666c7f838f26b2fb4093aaf486\u002FSKILL.md",[18],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",[24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43],"render monitor","monitor","verify","render mcp","healthy","time","deployments","use","view","check","health","MCP","real-time","services","monitoring","logs","mcp tools","status","performance","cli","2026-11-10 10:12:30",false,"---\r\nname: render-monitor\r\ndescription: Monitor Render services in real-time. Check health, performance metrics, logs, and resource usage. Use when users want to check service status, view metrics, monitor performance, or verify deployments are healthy.\r\nlicense: MIT\r\ncompatibility: Requires Render MCP tools or CLI\r\nmetadata:\r\n  author: Render\r\n  version: \"1.0.0\"\r\n  category: monitoring\r\n---\r\n\r\n# Monitor Render Services\r\n\r\nReal-time monitoring of Render services including health checks, performance metrics, and logs.\r\n\r\n## When to Use This Skill\r\n\r\nActivate this skill when users want to:\r\n- Check if services are healthy\r\n- View performance metrics\r\n- Monitor logs\r\n- Verify a deployment is working\r\n- Investigate slow performance\r\n- Check database health\r\n\r\n## Prerequisites\r\n\r\n**MCP tools (preferred):** Test with `list_services()` - provides structured data\r\n\r\n**CLI (fallback):** `render --version` - use if MCP tools unavailable\r\n\r\n**Authentication:** For MCP, use an API key (set in the MCP config or via the `RENDER_API_KEY` env var, depending on tool). For CLI, verify with `render whoami -o json`.\r\n\r\n**Workspace:** `get_selected_workspace()` or `render workspace current -o json`\r\n\r\n> **Note:** MCP tools require the Render MCP server. If unavailable, use the CLI for status and logs; metrics and database queries require MCP.\r\n\r\n## MCP Setup\r\n\r\nIf `list_services()` fails, set up the Render MCP server. For detailed per-tool walkthroughs, see **render-mcp**.\r\n\r\n**Quick setup:** Add the Render MCP server to your AI tool's MCP config:\r\n- **URL:** `https:\u002F\u002Fmcp.render.com\u002Fmcp`\r\n- **Auth header:** `Authorization: Bearer \u003CYOUR_API_KEY>`\r\n- **API key:** `https:\u002F\u002Fdashboard.render.com\u002Fu\u002F*\u002Fsettings#api-keys`\r\n\r\nAfter configuring, restart your tool and retry `list_services()`. Then set your workspace with `list_workspaces()` \u002F `get_selected_workspace()`.\r\n\r\n---\r\n\r\n## Quick Health Check\r\n\r\nRun these 5 checks to assess service health:\r\n\r\n```\r\n# 1. Check service status\r\nlist_services()\r\n\r\n# 2. Check latest deploy\r\nlist_deploys(serviceId: \"\u003Cservice-id>\", limit: 1)\r\n\r\n# 3. Check for errors\r\nlist_logs(resource: [\"\u003Cservice-id>\"], level: [\"error\"], limit: 20)\r\n\r\n# 4. Check resource usage\r\nget_metrics(resourceId: \"\u003Cservice-id>\", metricTypes: [\"cpu_usage\", \"memory_usage\"])\r\n\r\n# 5. Check latency\r\nget_metrics(resourceId: \"\u003Cservice-id>\", metricTypes: [\"http_latency\"], httpLatencyQuantile: 0.95)\r\n```\r\n\r\n---\r\n\r\n## Service Health\r\n\r\n### Check Status\r\n\r\n```\r\nlist_services()\r\n```\r\n\r\n```\r\nget_service(serviceId: \"\u003Cid>\")\r\n```\r\n\r\n### Check Deployments\r\n\r\n```\r\nlist_deploys(serviceId: \"\u003Cservice-id>\", limit: 5)\r\n```\r\n\r\n| Status | Meaning |\r\n|--------|---------|\r\n| `live` | Deployment successful |\r\n| `build_in_progress` | Building |\r\n| `build_failed` | Build failed |\r\n| `deactivated` | Replaced by newer deploy |\r\n\r\n### Check Errors\r\n\r\n```\r\nlist_logs(resource: [\"\u003Cservice-id>\"], level: [\"error\"], limit: 50)\r\n```\r\n\r\n```\r\nlist_logs(resource: [\"\u003Cservice-id>\"], statusCode: [\"500\", \"502\", \"503\"], limit: 50)\r\n```\r\n\r\n---\r\n\r\n## Performance Metrics\r\n\r\n### CPU & Memory\r\n\r\n```\r\nget_metrics(\r\n  resourceId: \"\u003Cservice-id>\",\r\n  metricTypes: [\"cpu_usage\", \"memory_usage\", \"cpu_limit\", \"memory_limit\"]\r\n)\r\n```\r\n\r\n| Metric | Healthy | Warning | Critical |\r\n|--------|---------|---------|----------|\r\n| CPU | \u003C70% | 70-85% | >85% |\r\n| Memory | \u003C80% | 80-90% | >90% |\r\n\r\n### HTTP Latency\r\n\r\n```\r\nget_metrics(\r\n  resourceId: \"\u003Cservice-id>\",\r\n  metricTypes: [\"http_latency\"],\r\n  httpLatencyQuantile: 0.95\r\n)\r\n```\r\n\r\n| p95 Latency | Status |\r\n|-------------|--------|\r\n| \u003C200ms | Excellent |\r\n| 200-500ms | Good |\r\n| 500ms-1s | Concerning |\r\n| >1s | Problem |\r\n\r\n### Request Count\r\n\r\n```\r\nget_metrics(\r\n  resourceId: \"\u003Cservice-id>\",\r\n  metricTypes: [\"http_request_count\"]\r\n)\r\n```\r\n\r\n### Filter by Endpoint\r\n\r\n```\r\nget_metrics(\r\n  resourceId: \"\u003Cservice-id>\",\r\n  metricTypes: [\"http_latency\"],\r\n  httpPath: \"\u002Fapi\u002Fusers\"\r\n)\r\n```\r\n\r\nDetailed metrics guide: [references\u002Fmetrics-guide.md](references\u002Fmetrics-guide.md)\r\n\r\n---\r\n\r\n## Database Monitoring\r\n\r\n### PostgreSQL Status\r\n\r\n```\r\nlist_postgres_instances()\r\nget_postgres(postgresId: \"\u003Cpostgres-id>\")\r\n```\r\n\r\n### Connection Count\r\n\r\n```\r\nget_metrics(resourceId: \"\u003Cpostgres-id>\", metricTypes: [\"active_connections\"])\r\n```\r\n\r\n### Query Database\r\n\r\n```\r\nquery_render_postgres(\r\n  postgresId: \"\u003Cpostgres-id>\",\r\n  sql: \"SELECT state, count(*) FROM pg_stat_activity GROUP BY state\"\r\n)\r\n```\r\n\r\n### Find Slow Queries\r\n\r\n```\r\nquery_render_postgres(\r\n  postgresId: \"\u003Cpostgres-id>\",\r\n  sql: \"SELECT query, mean_exec_time FROM pg_stat_statements ORDER BY mean_exec_time DESC LIMIT 10\"\r\n)\r\n```\r\n\r\n### Key-Value Store\r\n\r\n```\r\nlist_key_value()\r\nget_key_value(keyValueId: \"\u003Ckv-id>\")\r\n```\r\n\r\n---\r\n\r\n## Log Monitoring\r\n\r\n### Recent Logs\r\n\r\n```\r\nlist_logs(resource: [\"\u003Cservice-id>\"], limit: 100)\r\n```\r\n\r\n### Error Logs\r\n\r\n```\r\nlist_logs(resource: [\"\u003Cservice-id>\"], level: [\"error\"], limit: 50)\r\n```\r\n\r\n### Search Logs\r\n\r\n```\r\nlist_logs(resource: [\"\u003Cservice-id>\"], text: [\"timeout\", \"error\"], limit: 50)\r\n```\r\n\r\n### Filter by Time\r\n\r\n```\r\nlist_logs(\r\n  resource: [\"\u003Cservice-id>\"],\r\n  startTime: \"2024-01-15T10:00:00Z\",\r\n  endTime: \"2024-01-15T11:00:00Z\"\r\n)\r\n```\r\n\r\n### Stream Logs (CLI)\r\n\r\n```bash\r\nrender logs -r \u003Cservice-id> --tail -o text\r\n```\r\n\r\n---\r\n\r\n## Quick Reference\r\n\r\n### MCP Tools\r\n\r\n```\r\n# Services\r\nlist_services()\r\nget_service(serviceId: \"\u003Cid>\")\r\nlist_deploys(serviceId: \"\u003Cid>\", limit: 5)\r\n\r\n# Logs\r\nlist_logs(resource: [\"\u003Cid>\"], level: [\"error\"], limit: 100)\r\nlist_logs(resource: [\"\u003Cid>\"], text: [\"search\"], limit: 50)\r\n\r\n# Metrics\r\nget_metrics(resourceId: \"\u003Cid>\", metricTypes: [\"cpu_usage\", \"memory_usage\"])\r\nget_metrics(resourceId: \"\u003Cid>\", metricTypes: [\"http_latency\"], httpLatencyQuantile: 0.95)\r\nget_metrics(resourceId: \"\u003Cid>\", metricTypes: [\"http_request_count\"])\r\n\r\n# Database\r\nlist_postgres_instances()\r\nget_postgres(postgresId: \"\u003Cid>\")\r\nquery_render_postgres(postgresId: \"\u003Cid>\", sql: \"SELECT ...\")\r\nget_metrics(resourceId: \"\u003Cpostgres-id>\", metricTypes: [\"active_connections\"])\r\n\r\n# Key-Value\r\nlist_key_value()\r\nget_key_value(keyValueId: \"\u003Cid>\")\r\n```\r\n\r\n### CLI Commands (Fallback)\r\n\r\nUse these if MCP tools are unavailable:\r\n\r\n```bash\r\n# Service status\r\nrender services -o json\r\nrender services instances \u003Cservice-id>\r\n\r\n# Deployments\r\nrender deploys list \u003Cservice-id> -o json\r\n\r\n# Logs\r\nrender logs -r \u003Cservice-id> --tail -o text          # Stream logs\r\nrender logs -r \u003Cservice-id> --level error -o json   # Error logs\r\nrender logs -r \u003Cservice-id> --type deploy -o json   # Build logs\r\n\r\n# Database\r\nrender psql \u003Cdatabase-id>                           # Connect to PostgreSQL\r\n\r\n# SSH for live debugging\r\nrender ssh \u003Cservice-id>\r\n```\r\n\r\n### Healthy Service Indicators\r\n\r\n| Indicator | Healthy | Warning | Critical |\r\n|-----------|---------|---------|----------|\r\n| Deploy Status | `live` | `update_in_progress` | `build_failed` |\r\n| Error Rate | \u003C0.1% | 0.1-1% | >1% |\r\n| p95 Latency | \u003C500ms | 500ms-2s | >2s |\r\n| CPU Usage | \u003C70% | 70-90% | >90% |\r\n| Memory Usage | \u003C80% | 80-95% | >95% |\r\n\r\n---\r\n\r\n## References\r\n\r\n- **Metrics guide:** [references\u002Fmetrics-guide.md](references\u002Fmetrics-guide.md)\r\n\r\n## Related Skills\r\n\r\n- **render-deploy** — Deploy new applications to Render\r\n- **render-debug** — Diagnose and fix deployment failures\r\n- **render-mcp** — MCP server setup and tool catalog\r\n","# Monitor Render Services\r\n\r\nReal-time monitoring of Render services including health checks, performance metrics, and logs.\r\n\r\n## When to Use This Skill\r\n\r\nActivate this skill when users want to:\r\n- Check if services are healthy\r\n- View performance metrics\r\n- Monitor logs\r\n- Verify a deployment is working\r\n- Investigate slow performance\r\n- Check database health\r\n\r\n## Prerequisites\r\n\r\n**MCP tools (preferred):** Test with `list_services()` - provides structured data\r\n\r\n**CLI (fallback):** `render --version` - use if MCP tools unavailable\r\n\r\n**Authentication:** For MCP, use an API key (set in the MCP config or via the `RENDER_API_KEY` env var, depending on tool). For CLI, verify with `render whoami -o json`.\r\n\r\n**Workspace:** `get_selected_workspace()` or `render workspace current -o json`\r\n\r\n> **Note:** MCP tools require the Render MCP server. If unavailable, use the CLI for status and logs; metrics and database queries require MCP.\r\n\r\n## MCP Setup\r\n\r\nIf `list_services()` fails, set up the Render MCP server. For detailed per-tool walkthroughs, see **render-mcp**.\r\n\r\n**Quick setup:** Add the Render MCP server to your AI tool's MCP config:\r\n- **URL:** `https:\u002F\u002Fmcp.render.com\u002Fmcp`\r\n- **Auth header:** `Authorization: Bearer \u003CYOUR_API_KEY>`\r\n- **API key:** `https:\u002F\u002Fdashboard.render.com\u002Fu\u002F*\u002Fsettings#api-keys`\r\n\r\nAfter configuring, restart your tool and retry `list_services()`. Then set your workspace with `list_workspaces()` \u002F `get_selected_workspace()`.\r\n\r\n---\r\n\r\n## Quick Health Check\r\n\r\nRun these 5 checks to assess service health:\r\n\r\n```\r\n# 1. Check service status\r\nlist_services()\r\n\r\n# 2. Check latest deploy\r\nlist_deploys(serviceId: \"\u003Cservice-id>\", limit: 1)\r\n\r\n# 3. Check for errors\r\nlist_logs(resource: [\"\u003Cservice-id>\"], level: [\"error\"], limit: 20)\r\n\r\n# 4. Check resource usage\r\nget_metrics(resourceId: \"\u003Cservice-id>\", metricTypes: [\"cpu_usage\", \"memory_usage\"])\r\n\r\n# 5. Check latency\r\nget_metrics(resourceId: \"\u003Cservice-id>\", metricTypes: [\"http_latency\"], httpLatencyQuantile: 0.95)\r\n```\r\n\r\n---\r\n\r\n## Service Health\r\n\r\n### Check Status\r\n\r\n```\r\nlist_services()\r\n```\r\n\r\n```\r\nget_service(serviceId: \"\u003Cid>\")\r\n```\r\n\r\n### Check Deployments\r\n\r\n```\r\nlist_deploys(serviceId: \"\u003Cservice-id>\", limit: 5)\r\n```\r\n\r\n| Status | Meaning |\r\n|--------|---------|\r\n| `live` | Deployment successful |\r\n| `build_in_progress` | Building |\r\n| `build_failed` | Build failed |\r\n| `deactivated` | Replaced by newer deploy |\r\n\r\n### Check Errors\r\n\r\n```\r\nlist_logs(resource: [\"\u003Cservice-id>\"], level: [\"error\"], limit: 50)\r\n```\r\n\r\n```\r\nlist_logs(resource: [\"\u003Cservice-id>\"], statusCode: [\"500\", \"502\", \"503\"], limit: 50)\r\n```\r\n\r\n---\r\n\r\n## Performance Metrics\r\n\r\n### CPU & Memory\r\n\r\n```\r\nget_metrics(\r\n  resourceId: \"\u003Cservice-id>\",\r\n  metricTypes: [\"cpu_usage\", \"memory_usage\", \"cpu_limit\", \"memory_limit\"]\r\n)\r\n```\r\n\r\n| Metric | Healthy | Warning | Critical |\r\n|--------|---------|---------|----------|\r\n| CPU | \u003C70% | 70-85% | >85% |\r\n| Memory | \u003C80% | 80-90% | >90% |\r\n\r\n### HTTP Latency\r\n\r\n```\r\nget_metrics(\r\n  resourceId: \"\u003Cservice-id>\",\r\n  metricTypes: [\"http_latency\"],\r\n  httpLatencyQuantile: 0.95\r\n)\r\n```\r\n\r\n| p95 Latency | Status |\r\n|-------------|--------|\r\n| \u003C200ms | Excellent |\r\n| 200-500ms | Good |\r\n| 500ms-1s | Concerning |\r\n| >1s | Problem |\r\n\r\n### Request Count\r\n\r\n```\r\nget_metrics(\r\n  resourceId: \"\u003Cservice-id>\",\r\n  metricTypes: [\"http_request_count\"]\r\n)\r\n```\r\n\r\n### Filter by Endpoint\r\n\r\n```\r\nget_metrics(\r\n  resourceId: \"\u003Cservice-id>\",\r\n  metricTypes: [\"http_latency\"],\r\n  httpPath: \"\u002Fapi\u002Fusers\"\r\n)\r\n```\r\n\r\nDetailed metrics guide: [references\u002Fmetrics-guide.md](references\u002Fmetrics-guide.md)\r\n\r\n---\r\n\r\n## Database Monitoring\r\n\r\n### PostgreSQL Status\r\n\r\n```\r\nlist_postgres_instances()\r\nget_postgres(postgresId: \"\u003Cpostgres-id>\")\r\n```\r\n\r\n### Connection Count\r\n\r\n```\r\nget_metrics(resourceId: \"\u003Cpostgres-id>\", metricTypes: [\"active_connections\"])\r\n```\r\n\r\n### Query Database\r\n\r\n```\r\nquery_render_postgres(\r\n  postgresId: \"\u003Cpostgres-id>\",\r\n  sql: \"SELECT state, count(*) FROM pg_stat_activity GROUP BY state\"\r\n)\r\n```\r\n\r\n### Find Slow Queries\r\n\r\n```\r\nquery_render_postgres(\r\n  postgresId: \"\u003Cpostgres-id>\",\r\n  sql: \"SELECT query, mean_exec_time FROM pg_stat_statements ORDER BY mean_exec_time DESC LIMIT 10\"\r\n)\r\n```\r\n\r\n### Key-Value Store\r\n\r\n```\r\nlist_key_value()\r\nget_key_value(keyValueId: \"\u003Ckv-id>\")\r\n```\r\n\r\n---\r\n\r\n## Log Monitoring\r\n\r\n### Recent Logs\r\n\r\n```\r\nlist_logs(resource: [\"\u003Cservice-id>\"], limit: 100)\r\n```\r\n\r\n### Error Logs\r\n\r\n```\r\nlist_logs(resource: [\"\u003Cservice-id>\"], level: [\"error\"], limit: 50)\r\n```\r\n\r\n### Search Logs\r\n\r\n```\r\nlist_logs(resource: [\"\u003Cservice-id>\"], text: [\"timeout\", \"error\"], limit: 50)\r\n```\r\n\r\n### Filter by Time\r\n\r\n```\r\nlist_logs(\r\n  resource: [\"\u003Cservice-id>\"],\r\n  startTime: \"2024-01-15T10:00:00Z\",\r\n  endTime: \"2024-01-15T11:00:00Z\"\r\n)\r\n```\r\n\r\n### Stream Logs (CLI)\r\n\r\n```bash\r\nrender logs -r \u003Cservice-id> --tail -o text\r\n```\r\n\r\n---\r\n\r\n## Quick Reference\r\n\r\n### MCP Tools\r\n\r\n```\r\n# Services\r\nlist_services()\r\nget_service(serviceId: \"\u003Cid>\")\r\nlist_deploys(serviceId: \"\u003Cid>\", limit: 5)\r\n\r\n# Logs\r\nlist_logs(resource: [\"\u003Cid>\"], level: [\"error\"], limit: 100)\r\nlist_logs(resource: [\"\u003Cid>\"], text: [\"search\"], limit: 50)\r\n\r\n# Metrics\r\nget_metrics(resourceId: \"\u003Cid>\", metricTypes: [\"cpu_usage\", \"memory_usage\"])\r\nget_metrics(resourceId: \"\u003Cid>\", metricTypes: [\"http_latency\"], httpLatencyQuantile: 0.95)\r\nget_metrics(resourceId: \"\u003Cid>\", metricTypes: [\"http_request_count\"])\r\n\r\n# Database\r\nlist_postgres_instances()\r\nget_postgres(postgresId: \"\u003Cid>\")\r\nquery_render_postgres(postgresId: \"\u003Cid>\", sql: \"SELECT ...\")\r\nget_metrics(resourceId: \"\u003Cpostgres-id>\", metricTypes: [\"active_connections\"])\r\n\r\n# Key-Value\r\nlist_key_value()\r\nget_key_value(keyValueId: \"\u003Cid>\")\r\n```\r\n\r\n### CLI Commands (Fallback)\r\n\r\nUse these if MCP tools are unavailable:\r\n\r\n```bash\r\n# Service status\r\nrender services -o json\r\nrender services instances \u003Cservice-id>\r\n\r\n# Deployments\r\nrender deploys list \u003Cservice-id> -o json\r\n\r\n# Logs\r\nrender logs -r \u003Cservice-id> --tail -o text          # Stream logs\r\nrender logs -r \u003Cservice-id> --level error -o json   # Error logs\r\nrender logs -r \u003Cservice-id> --type deploy -o json   # Build logs\r\n\r\n# Database\r\nrender psql \u003Cdatabase-id>                           # Connect to PostgreSQL\r\n\r\n# SSH for live debugging\r\nrender ssh \u003Cservice-id>\r\n```\r\n\r\n### Healthy Service Indicators\r\n\r\n| Indicator | Healthy | Warning | Critical |\r\n|-----------|---------|---------|----------|\r\n| Deploy Status | `live` | `update_in_progress` | `build_failed` |\r\n| Error Rate | \u003C0.1% | 0.1-1% | >1% |\r\n| p95 Latency | \u003C500ms | 500ms-2s | >2s |\r\n| CPU Usage | \u003C70% | 70-90% | >90% |\r\n| Memory Usage | \u003C80% | 80-95% | >95% |\r\n\r\n---\r\n\r\n## References\r\n\r\n- **Metrics guide:** [references\u002Fmetrics-guide.md](references\u002Fmetrics-guide.md)\r\n\r\n## Related Skills\r\n\r\n- **render-deploy** — Deploy new applications to Render\r\n- **render-debug** — Diagnose and fix deployment failures\r\n- **render-mcp** — MCP server setup and tool 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