[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M71BAPSY8H9RJW2XWD11ETRF":3,"skill-same:01M71BAPSY8H9RJW2XWD11ETRF":118},{"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":39,"linkOnly":40,"markdownContent":41,"markdownBody":42,"frontMatter":43,"refName":47,"commitSha":48,"skillDirectory":49,"forksCount":50,"repositoryHtmlUrl":51,"repositoryHomepageUrl":6,"ownerHtmlUrl":52,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":53,"install":54,"resources":67},"01M71BAPSY8H9RJW2XWD11ETRF","azure-diagnostics",null,"Debug Azure production issues on Azure using AppLens, Azure Monitor, resource health, and safe triage. WHEN: debug production issues, troubleshoot container apps, troubleshoot functions, troubleshoot AKS, kubectl cannot connect, kube-system\u002FCoreDNS failures, pod pending, crashloop, node not ready, upgrade failures, analyze logs, KQL, insights, image pull failures, cold start issues, health probe failures, resource health, root cause of errors.","strmt7\u002Fai_skills_collection_benchmarked","strmt7","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F28989754?v=4","01M71929P914SWKQ7QJV24NBBY","Stratos","01M71929Q9VGKQ7PWYR95VSQQQ",1,"MIT","https:\u002F\u002Fgithub.com\u002Fstrmt7\u002Fai_skills_collection_benchmarked\u002Fblob\u002Fmain\u002Fincluded\u002Fskills\u002Fby-category\u002Fcloud-azure-microsoft-sdks\u002Fofficial-vendor-reference\u002Fazure-diagnostics\u002FSKILL.md",[],[19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38],"azure diagnostics","azure","diagnostics","when","image","cold start","coredns","errors","insights","cold","apps","upgrade","azure monitor","ready","node","analyze","aks","logs","issues","connect","2026-11-10 10:12:30",false,"---\nname: azure-diagnostics\ndescription: \"Debug Azure production issues on Azure using AppLens, Azure Monitor, resource health, and safe triage. WHEN: debug production issues, troubleshoot container apps, troubleshoot functions, troubleshoot AKS, kubectl cannot connect, kube-system\u002FCoreDNS failures, pod pending, crashloop, node not ready, upgrade failures, analyze logs, KQL, insights, image pull failures, cold start issues, health probe failures, resource health, root cause of errors.\"\nlicense: MIT\nmetadata:\n  author: Microsoft\n  version: \"1.0.4\"\n---\n\n# Azure Diagnostics\n\n> **AUTHORITATIVE GUIDANCE — MANDATORY COMPLIANCE**\n>\n> This document is the **official source** for debugging and troubleshooting Azure production issues. Follow these instructions to diagnose and resolve common Azure service problems systematically.\n\n## Triggers\n\nActivate this skill when user wants to:\n- Debug or troubleshoot production issues\n- Diagnose errors in Azure services\n- Analyze application logs or metrics\n- Fix image pull, cold start, or health probe issues\n- Investigate why Azure resources are failing\n- Find root cause of application errors\n- Troubleshoot Azure Function Apps (invocation failures, timeouts, binding errors)\n- Find the App Insights or Log Analytics workspace linked to a Function App\n- Troubleshoot AKS clusters, nodes, pods, ingress, or Kubernetes networking issues\n\n## Rules\n\n1. Start with systematic diagnosis flow\n2. Use AppLens (MCP) for AI-powered diagnostics when available\n3. Check resource health before deep-diving into logs\n4. Select appropriate troubleshooting guide based on service type\n5. Document findings and attempted remediation steps\n6. Route AKS incidents to the dedicated AKS troubleshooting document\n\n---\n\n## Quick Diagnosis Flow\n\n1. **Identify symptoms** - What's failing?\n2. **Check resource health** - Is Azure healthy?\n3. **Review logs** - What do logs show?\n4. **Analyze metrics** - Performance patterns?\n5. **Investigate recent changes** - What changed?\n\n---\n\n## Troubleshooting Guides by Service\n\n| Service | Common Issues | Reference |\n|---------|---------------|-----------|\n| **Container Apps** | Image pull failures, cold starts, health probes, port mismatches | [container-apps\u002F](references\u002Fcontainer-apps\u002FREADME.md) |\n| **Function Apps** | App details, invocation failures, timeouts, binding errors, cold starts, missing app settings | [functions\u002F](references\u002Ffunctions\u002FREADME.md) |\n| **AKS** | Cluster access, nodes, `kube-system`, scheduling, crash loops, ingress, DNS, upgrades | [AKS Troubleshooting](aks-troubleshooting\u002Faks-troubleshooting.md) |\n\n---\n\n## Routing\n\n- Keep Container Apps and Function Apps diagnostics in this parent skill.\n- Route active AKS incidents, AKS-specific intake, evidence gathering, and remediation guidance to [AKS Troubleshooting](aks-troubleshooting\u002Faks-troubleshooting.md).\n\n---\n\n## Quick Reference\n\n### Common Diagnostic Commands\n\n```bash\n# Check resource health\naz resource show --ids RESOURCE_ID\n\n# View activity log\naz monitor activity-log list -g RG --max-events 20\n\n# Container Apps logs\naz containerapp logs show --name APP -g RG --follow\n\n# Function App logs (query App Insights traces)\naz monitor app-insights query --apps APP-INSIGHTS -g RG \\\n  --analytics-query \"traces | where timestamp > ago(1h) | order by timestamp desc | take 50\"\n```\n\n### AppLens (MCP Tools)\n\nFor AI-powered diagnostics, use:\n```\nmcp_azure_mcp_applens\n  intent: \"diagnose issues with \u003Cresource-name>\"\n  command: \"diagnose\"\n  parameters:\n    resourceId: \"\u003Cresource-id>\"\n\nProvides:\n- Automated issue detection\n- Root cause analysis\n- Remediation recommendations\n```\n\n### Azure Monitor (MCP Tools)\n\nFor querying logs and metrics:\n```\nmcp_azure_mcp_monitor\n  intent: \"query logs for \u003Cresource-name>\"\n  command: \"logs_query\"\n  parameters:\n    workspaceId: \"\u003Cworkspace-id>\"\n    query: \"\u003CKQL-query>\"\n```\n\nSee [kql-queries.md](references\u002Fkql-queries.md) for common diagnostic queries.\n\n---\n\n## Check Azure Resource Health\n\n### Using MCP\n\n```\nmcp_azure_mcp_resourcehealth\n  intent: \"check health status of \u003Cresource-name>\"\n  command: \"get\"\n  parameters:\n    resourceId: \"\u003Cresource-id>\"\n```\n\n### Using CLI\n\n```bash\n# Check specific resource health\naz resource show --ids RESOURCE_ID\n\n# Check recent activity\naz monitor activity-log list -g RG --max-events 20\n```\n\n---\n\n## References\n\n- [KQL Query Library](references\u002Fkql-queries.md)\n- [Azure Resource Graph Queries](references\u002Fazure-resource-graph.md)\n- [Function Apps Troubleshooting](references\u002Ffunctions\u002FREADME.md)\n","# Azure Diagnostics\n\n> **AUTHORITATIVE GUIDANCE — MANDATORY COMPLIANCE**\n>\n> This document is the **official source** for debugging and troubleshooting Azure production issues. Follow these instructions to diagnose and resolve common Azure service problems systematically.\n\n## Triggers\n\nActivate this skill when user wants to:\n- Debug or troubleshoot production issues\n- Diagnose errors in Azure services\n- Analyze application logs or metrics\n- Fix image pull, cold start, or health probe issues\n- Investigate why Azure resources are failing\n- Find root cause of application errors\n- Troubleshoot Azure Function Apps (invocation failures, timeouts, binding errors)\n- Find the App Insights or Log Analytics workspace linked to a Function App\n- Troubleshoot AKS clusters, nodes, pods, ingress, or Kubernetes networking issues\n\n## Rules\n\n1. Start with systematic diagnosis flow\n2. Use AppLens (MCP) for AI-powered diagnostics when available\n3. Check resource health before deep-diving into logs\n4. Select appropriate troubleshooting guide based on service type\n5. Document findings and attempted remediation steps\n6. Route AKS incidents to the dedicated AKS troubleshooting document\n\n---\n\n## Quick Diagnosis Flow\n\n1. **Identify symptoms** - What's failing?\n2. **Check resource health** - Is Azure healthy?\n3. **Review logs** - What do logs show?\n4. **Analyze metrics** - Performance patterns?\n5. **Investigate recent changes** - What changed?\n\n---\n\n## Troubleshooting Guides by Service\n\n| Service | Common Issues | Reference |\n|---------|---------------|-----------|\n| **Container Apps** | Image pull failures, cold starts, health probes, port mismatches | [container-apps\u002F](references\u002Fcontainer-apps\u002FREADME.md) |\n| **Function Apps** | App details, invocation failures, timeouts, binding errors, cold starts, missing app settings | [functions\u002F](references\u002Ffunctions\u002FREADME.md) |\n| **AKS** | Cluster access, nodes, `kube-system`, scheduling, crash loops, ingress, DNS, upgrades | [AKS Troubleshooting](aks-troubleshooting\u002Faks-troubleshooting.md) |\n\n---\n\n## Routing\n\n- Keep Container Apps and Function Apps diagnostics in this parent skill.\n- Route active AKS incidents, AKS-specific intake, evidence gathering, and remediation guidance to [AKS Troubleshooting](aks-troubleshooting\u002Faks-troubleshooting.md).\n\n---\n\n## Quick Reference\n\n### Common Diagnostic Commands\n\n```bash\n# Check resource health\naz resource show --ids RESOURCE_ID\n\n# View activity log\naz monitor activity-log list -g RG --max-events 20\n\n# Container Apps logs\naz containerapp logs show --name APP -g RG --follow\n\n# Function App logs (query App Insights traces)\naz monitor app-insights query --apps APP-INSIGHTS -g RG \\\n  --analytics-query \"traces | where timestamp > ago(1h) | order by timestamp desc | take 50\"\n```\n\n### AppLens (MCP Tools)\n\nFor AI-powered diagnostics, use:\n```\nmcp_azure_mcp_applens\n  intent: \"diagnose issues with \u003Cresource-name>\"\n  command: \"diagnose\"\n  parameters:\n    resourceId: \"\u003Cresource-id>\"\n\nProvides:\n- Automated issue detection\n- Root cause analysis\n- Remediation recommendations\n```\n\n### Azure Monitor (MCP Tools)\n\nFor querying logs and metrics:\n```\nmcp_azure_mcp_monitor\n  intent: \"query logs for \u003Cresource-name>\"\n  command: \"logs_query\"\n  parameters:\n    workspaceId: \"\u003Cworkspace-id>\"\n    query: \"\u003CKQL-query>\"\n```\n\nSee [kql-queries.md](references\u002Fkql-queries.md) for common diagnostic queries.\n\n---\n\n## Check Azure Resource Health\n\n### Using MCP\n\n```\nmcp_azure_mcp_resourcehealth\n  intent: \"check health status of \u003Cresource-name>\"\n  command: \"get\"\n  parameters:\n    resourceId: \"\u003Cresource-id>\"\n```\n\n### Using CLI\n\n```bash\n# Check specific resource health\naz resource show --ids RESOURCE_ID\n\n# Check recent activity\naz monitor activity-log list -g RG --max-events 20\n```\n\n---\n\n## References\n\n- [KQL Query Library](references\u002Fkql-queries.md)\n- [Azure Resource Graph Queries](references\u002Fazure-resource-graph.md)\n- [Function Apps Troubleshooting](references\u002Ffunctions\u002FREADME.md)\n",{"name":5,"license":15,"metadata":44,"description":7},{"author":45,"version":46},"Microsoft","1.0.4","main","5c95bcac4646c5aed06bd9aed5235cfc7985aafc","included\u002Fskills\u002Fby-category\u002Fcloud-azure-microsoft-sdks\u002Fofficial-vendor-reference\u002Fazure-diagnostics",0,"https:\u002F\u002Fgithub.com\u002Fstrmt7\u002Fai_skills_collection_benchmarked","https:\u002F\u002Fgithub.com\u002Fstrmt7","2026-11-11 04:18:12",{"source":8,"skillName":5,"commands":55,"prompt":65,"zipAvailable":66},[56,59,62],{"tool":57,"command":58},"npx","npx skills add strmt7\u002Fai_skills_collection_benchmarked --skill azure-diagnostics",{"tool":60,"command":61},"bunx","bunx skills add strmt7\u002Fai_skills_collection_benchmarked --skill azure-diagnostics",{"tool":63,"command":64},"pnpm","pnpm dlx skills add strmt7\u002Fai_skills_collection_benchmarked --skill 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Use for complex artifacts requiring state management, routing, or shadcn\u002Fui components - not for simple single-file HTML\u002FJSX artifacts.","https:\u002F\u002Fgithub.com\u002Fstrmt7\u002Fai_skills_collection_benchmarked\u002Fblob\u002Fmain\u002Fincluded\u002Fskills\u002Fby-category\u002Fsearch-retrieval-web-automation\u002Fofficial-reference\u002Fweb-artifacts-builder\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002Fstrmt7\u002Fai_skills_collection_benchmarked\u002Fblob\u002Fmain\u002Fincluded\u002Fskills\u002Fby-category\u002Fsearch-retrieval-web-automation\u002Fofficial-reference\u002Fweb-artifacts-builder\u002FSKILL.md",[212],{"categoryNo":133,"categoryName":134,"taxonomyType":130,"taxonomyTypeDesc":131},[214,215,216,148,217,218,219,139,220,221,142,222,223,224,225,226,227,228,229,230],"builder","artifacts builder","artifacts","web artifacts builder","single-file","css","Tailwind","ui components","single","use","file","components","react","multi","state","routing","state management",{"skillNo":232,"name":233,"nameZh":6,"description":234,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":123,"licenseFileUrl":235,"sourceHtmlUrl":236,"categories":237,"keywords":247,"publishedAt":39},"01M71CXZB60QJJ1H4S3NN94WMZ","frontend-design","Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, artifacts, posters, or applications (examples include websites, landing pages, dashboards, React components, HTML\u002FCSS layouts, or when styling\u002Fbeautifying any web UI). Generates creative, polished code and UI design that avoids generic AI aesthetics.","https:\u002F\u002Fgithub.com\u002Fstrmt7\u002Fai_skills_collection_benchmarked\u002Fblob\u002Fmain\u002Fincluded\u002Fskills\u002Fby-category\u002Fsearch-retrieval-web-automation\u002Fofficial-reference\u002Ffrontend-design\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002Fstrmt7\u002Fai_skills_collection_benchmarked\u002Fblob\u002Fmain\u002Fincluded\u002Fskills\u002Fby-category\u002Fsearch-retrieval-web-automation\u002Fofficial-reference\u002Ffrontend-design\u002FSKILL.md",[238,239,242],{"categoryNo":133,"categoryName":134,"taxonomyType":130,"taxonomyTypeDesc":131},{"categoryNo":240,"categoryName":241,"taxonomyType":130,"taxonomyTypeDesc":131},"01JBSEEDCAT000000000000015","视觉设计",{"categoryNo":243,"categoryName":244,"taxonomyType":245,"taxonomyTypeDesc":246},"01JBSEEDCAT000000000000032","设计师","PROFESSION","适用职业",[142,248,249,219,250,251,252,140,253,254,223,22,216,255,225,256,226,257,258,146],"design","frontend design","ui design","generic","aesthetics","landing","pages","code","web ui","react components","examples",{"skillNo":260,"name":261,"nameZh":6,"description":262,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":263,"categories":264,"keywords":265,"publishedAt":39},"01M71CVZ54WFBTVA7R16PFY1ZE","zarr-python","Chunked N-D arrays for cloud storage. Compressed arrays, parallel I\u002FO, S3\u002FGCS integration, NumPy\u002FDask\u002FXarray compatible, for large-scale scientific computing pipelines.","https:\u002F\u002Fgithub.com\u002Fstrmt7\u002Fai_skills_collection_benchmarked\u002Fblob\u002Fmain\u002Fincluded\u002Fskills\u002Fby-category\u002Fscience-research-data-analysis\u002Flatest-release-community\u002Fzarr-python\u002FSKILL.md",[],[266,267,268,269,270,271,272,273,274,139,275,276,277,278,279,280,281,282],"zarr python","python","zarr","arrays","Cloud Storage","scientific","storage","parallel","dask","numpy","gcs","s3","integration","scientific computing","cloud","scale","pipelines"]