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WHEN: upgrade Consumption to Flex Consumption, upgrade Azure Functions plan, change hosting plan, function app SKU, migrate App Service to Container Apps, modernize legacy Azure Java SDKs (com.microsoft.azure to com.azure), migrate Azure Cache for Redis (ACR\u002FACRE) to Azure Managed Redis (AMR).\"\nlicense: MIT\ncompatibility: python3.10+\nmetadata:\n  author: Microsoft\n  version: \"1.2.1\"\n---\n\n# Azure Upgrade\n\n> This skill handles **assessment and automated upgrades** of existing Azure workloads from one Azure service, hosting plan, or SKU to another — all within Azure. This includes plan\u002Ftier upgrades (e.g. Consumption → Flex Consumption), cross-service migrations (e.g. App Service → Container Apps), and SKU changes. It also covers **Azure SDK for Java source-code modernization** (e.g. legacy Java `com.microsoft.azure.*` → modern `com.azure.*`). This is NOT for cross-cloud migration — use `azure-cloud-migrate` for that.\n\n## Triggers\n\n| User Intent | Example Prompts |\n|-------------|-----------------|\n| Upgrade Azure Functions plan | \"Upgrade my function app from Consumption to Flex Consumption\" |\n| Change hosting tier | \"Move my function app to a better plan\" |\n| Assess upgrade readiness | \"Is my function app ready for Flex Consumption?\" |\n| Automate plan migration | \"Automate the steps to upgrade my Functions plan\" |\n| Modernize legacy Azure Java SDK | \"Migrate legacy Azure SDKs for Java\", \"Upgrade legacy Azure Java SDK\", \"Migrate my Java project from com.microsoft.azure to com.azure\" |\n| Migrate Azure Cache for Redis (ACR\u002FOSS) to Azure Managed Redis (AMR) | \"Migrate my Redis cache to AMR\", \"ACR to AMR\", \"OSS to AMR\", \"Upgrade my Premium P2 cache to Managed Redis\", \"Pick an AMR SKU\", \"Convert my Redis IaC template to AMR\" |\n| Migrate Azure Cache for Redis Enterprise (ACRE) to Azure Managed Redis (AMR) | \"Migrate my Enterprise_E10 cache to AMR\", \"ACRE to AMR\", \"Update my ACRE IaC template for AMR\", \"Migrate EnterpriseFlash to AMR\", \"Migrate my geo-replicated Enterprise Redis\" |\n\n## Rules\n\n1. Follow phases sequentially — do not skip\n2. Generate an assessment before any upgrade operations\n3. Load the scenario reference and follow its rules\n4. Use `mcp_azure_mcp_get_azure_bestpractices` and `mcp_azure_mcp_documentation` MCP tools\n5. Destructive actions require `ask_user` — [global-rules](references\u002Fglobal-rules.md)\n6. Always confirm the target plan\u002FSKU with the user before proceeding\n7. Never delete or stop the original app without explicit user confirmation\n8. All automation scripts must be idempotent and resumable\n\n## Upgrade Scenarios\n\n| Source | Target | Reference |\n|--------|--------|-----------|\n| Azure Functions Consumption Plan | Azure Functions Flex Consumption Plan | [consumption-to-flex.md](references\u002Fservices\u002Ffunctions\u002Fconsumption-to-flex.md) |\n| Legacy Azure Java SDK (`com.microsoft.azure.*`) | Modern Azure Java SDK (`com.azure.*`) | [languages\u002Fjava\u002FREADME.md](references\u002Flanguages\u002Fjava\u002FREADME.md) |\n| Azure Cache for Redis (ACR\u002FOSS) Basic\u002FStandard\u002FPremium | Azure Managed Redis (AMR) | [services\u002Fredis\u002Fredis-to-amr.md](references\u002Fservices\u002Fredis\u002Fredis-to-amr.md) |\n| Azure Cache for Redis Enterprise (ACRE) \u002F Enterprise Flash | Azure Managed Redis (AMR) | [services\u002Fredis\u002Fredis-to-amr.md](references\u002Fservices\u002Fredis\u002Fredis-to-amr.md) |\n\n> SDK upgrade scenarios (e.g. Java legacy → modern) run a **source-code modernization flow** that is distinct from Azure service\u002Fplan\u002FSKU upgrades: follow the scenario reference, **not** the Steps below.\n\n> No matching scenario? Use `mcp_azure_mcp_documentation` and `mcp_azure_mcp_get_azure_bestpractices` tools to research the upgrade path.\n\n## MCP Tools\n\n| Tool | Purpose |\n|------|---------|\n| `mcp_azure_mcp_get_azure_bestpractices` | Get Azure best practices for the target service |\n| `mcp_azure_mcp_documentation` | Look up Azure documentation for upgrade scenarios |\n| `mcp_azure_mcp_appservice` | Query App Service and Functions plan details |\n| `mcp_azure_mcp_applicationinsights` | Verify monitoring configuration |\n\n## Steps\n\n1. **Identify** — Determine the source and target Azure plans\u002FSKUs. Ask user to confirm.\n2. **Assess** — Analyze existing app for upgrade readiness → load scenario reference (e.g., [consumption-to-flex.md](references\u002Fservices\u002Ffunctions\u002Fconsumption-to-flex.md))\n3. **Pre-migrate** — Collect settings, identities, configs from the existing app\n4. **Upgrade** — Execute the automated upgrade steps (create new resources, migrate settings, deploy code)\n5. **Validate** — Hit the function app default URL to confirm the app is reachable, then verify endpoints and monitoring\n6. **Ask User** — \"Upgrade complete. Would you like to verify performance, clean up the old app, or update your IaC?\"\n7. **Hand off** to `azure-validate` for deep validation or `azure-deploy` for CI\u002FCD setup\n\nTrack progress in `upgrade-status.md` inside the workspace root.\n\n## References\n\n- [Global Rules](references\u002Fglobal-rules.md)\n- [Workflow Details](references\u002Fworkflow-details.md)\n- **Functions**\n  - [Consumption to Flex Consumption](references\u002Fservices\u002Ffunctions\u002Fconsumption-to-flex.md)\n  - [Assessment](references\u002Fservices\u002Ffunctions\u002Fassessment.md)\n  - [Automation Scripts](references\u002Fservices\u002Ffunctions\u002Fautomation.md)\n- **Redis**\n  - [Redis (ACR or ACRE) to AMR Migration](references\u002Fservices\u002Fredis\u002Fredis-to-amr.md) — routes to dedicated [amr-migration-skill](https:\u002F\u002Fgithub.com\u002FAzureManagedRedis\u002Famr-migration-skill) (ACR\u002FOSS) or [acre-to-amr-migration-skill](https:\u002F\u002Fgithub.com\u002FAzureManagedRedis\u002Facre-to-amr-migration-skill) (Enterprise)\n- **Java SDK Migration Templates**\n  - [Plan Template](references\u002Flanguages\u002Fjava\u002Ftemplates\u002FPLAN_TEMPLATE.md)\n  - [Progress Template](references\u002Flanguages\u002Fjava\u002Ftemplates\u002FPROGRESS_TEMPLATE.md)\n  - [Summary Template](references\u002Flanguages\u002Fjava\u002Ftemplates\u002FSUMMARY_TEMPLATE.md)\n\n## Next\n\nAfter upgrade is validated, hand off to:\n- `azure-validate` — for thorough post-upgrade validation\n- `azure-deploy` — if the user wants to set up CI\u002FCD for the new app\n",{"data":35,"body":39},{"name":4,"description":6,"license":25,"compatibility":36,"metadata":37},"python3.10+",{"author":9,"version":38},"1.2.1",{"type":40,"children":41},"root",[42,50,100,107,226,232,308,314,439,461,482,488,576,582,676,689,695,831,837,842],{"type":43,"tag":44,"props":45,"children":46},"element","h1",{"id":4},[47],{"type":48,"value":49},"text","Azure Upgrade",{"type":43,"tag":51,"props":52,"children":53},"blockquote",{},[54],{"type":43,"tag":55,"props":56,"children":57},"p",{},[58,60,66,68,73,75,82,84,90,92,98],{"type":48,"value":59},"This skill handles ",{"type":43,"tag":61,"props":62,"children":63},"strong",{},[64],{"type":48,"value":65},"assessment and automated upgrades",{"type":48,"value":67}," of existing Azure workloads from one Azure service, hosting plan, or SKU to another — all within Azure. 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Ask user to confirm.",{"type":43,"tag":237,"props":596,"children":597},{},[598,603,605,609],{"type":43,"tag":61,"props":599,"children":600},{},[601],{"type":48,"value":602},"Assess",{"type":48,"value":604}," — Analyze existing app for upgrade readiness → load scenario reference (e.g., ",{"type":43,"tag":287,"props":606,"children":607},{"href":359},[608],{"type":48,"value":362},{"type":48,"value":377},{"type":43,"tag":237,"props":611,"children":612},{},[613,618],{"type":43,"tag":61,"props":614,"children":615},{},[616],{"type":48,"value":617},"Pre-migrate",{"type":48,"value":619}," — Collect settings, identities, configs from the existing app",{"type":43,"tag":237,"props":621,"children":622},{},[623,628],{"type":43,"tag":61,"props":624,"children":625},{},[626],{"type":48,"value":627},"Upgrade",{"type":48,"value":629}," — Execute the automated upgrade steps (create new resources, migrate settings, deploy code)",{"type":43,"tag":237,"props":631,"children":632},{},[633,638],{"type":43,"tag":61,"props":634,"children":635},{},[636],{"type":48,"value":637},"Validate",{"type":48,"value":639}," — Hit the function app default URL to confirm the app is reachable, then verify endpoints and monitoring",{"type":43,"tag":237,"props":641,"children":642},{},[643,648],{"type":43,"tag":61,"props":644,"children":645},{},[646],{"type":48,"value":647},"Ask User",{"type":48,"value":649}," — \"Upgrade complete. Would you like to verify performance, clean up the old app, or update your IaC?\"",{"type":43,"tag":237,"props":651,"children":652},{},[653,658,660,666,668,674],{"type":43,"tag":61,"props":654,"children":655},{},[656],{"type":48,"value":657},"Hand off",{"type":48,"value":659}," to ",{"type":43,"tag":76,"props":661,"children":663},{"className":662},[],[664],{"type":48,"value":665},"azure-validate",{"type":48,"value":667}," for deep validation or ",{"type":43,"tag":76,"props":669,"children":671},{"className":670},[],[672],{"type":48,"value":673},"azure-deploy",{"type":48,"value":675}," for CI\u002FCD setup",{"type":43,"tag":55,"props":677,"children":678},{},[679,681,687],{"type":48,"value":680},"Track progress in ",{"type":43,"tag":76,"props":682,"children":684},{"className":683},[],[685],{"type":48,"value":686},"upgrade-status.md",{"type":48,"value":688}," inside the workspace root.",{"type":43,"tag":101,"props":690,"children":692},{"id":691},"references",[693],{"type":48,"value":694},"References",{"type":43,"tag":696,"props":697,"children":698},"ul",{},[699,707,716,753,793],{"type":43,"tag":237,"props":700,"children":701},{},[702],{"type":43,"tag":287,"props":703,"children":704},{"href":289},[705],{"type":48,"value":706},"Global Rules",{"type":43,"tag":237,"props":708,"children":709},{},[710],{"type":43,"tag":287,"props":711,"children":713},{"href":712},"references\u002Fworkflow-details.md",[714],{"type":48,"value":715},"Workflow Details",{"type":43,"tag":237,"props":717,"children":718},{},[719,724],{"type":43,"tag":61,"props":720,"children":721},{},[722],{"type":48,"value":723},"Functions",{"type":43,"tag":696,"props":725,"children":726},{},[727,735,744],{"type":43,"tag":237,"props":728,"children":729},{},[730],{"type":43,"tag":287,"props":731,"children":732},{"href":359},[733],{"type":48,"value":734},"Consumption to Flex Consumption",{"type":43,"tag":237,"props":736,"children":737},{},[738],{"type":43,"tag":287,"props":739,"children":741},{"href":740},"references\u002Fservices\u002Ffunctions\u002Fassessment.md",[742],{"type":48,"value":743},"Assessment",{"type":43,"tag":237,"props":745,"children":746},{},[747],{"type":43,"tag":287,"props":748,"children":750},{"href":749},"references\u002Fservices\u002Ffunctions\u002Fautomation.md",[751],{"type":48,"value":752},"Automation Scripts",{"type":43,"tag":237,"props":754,"children":755},{},[756,761],{"type":43,"tag":61,"props":757,"children":758},{},[759],{"type":48,"value":760},"Redis",{"type":43,"tag":696,"props":762,"children":763},{},[764],{"type":43,"tag":237,"props":765,"children":766},{},[767,772,774,782,784,791],{"type":43,"tag":287,"props":768,"children":769},{"href":416},[770],{"type":48,"value":771},"Redis (ACR or ACRE) to AMR Migration",{"type":48,"value":773}," — routes to dedicated ",{"type":43,"tag":287,"props":775,"children":779},{"href":776,"rel":777},"https:\u002F\u002Fgithub.com\u002FAzureManagedRedis\u002Famr-migration-skill",[778],"nofollow",[780],{"type":48,"value":781},"amr-migration-skill",{"type":48,"value":783}," (ACR\u002FOSS) or ",{"type":43,"tag":287,"props":785,"children":788},{"href":786,"rel":787},"https:\u002F\u002Fgithub.com\u002FAzureManagedRedis\u002Facre-to-amr-migration-skill",[778],[789],{"type":48,"value":790},"acre-to-amr-migration-skill",{"type":48,"value":792}," (Enterprise)",{"type":43,"tag":237,"props":794,"children":795},{},[796,801],{"type":43,"tag":61,"props":797,"children":798},{},[799],{"type":48,"value":800},"Java SDK Migration Templates",{"type":43,"tag":696,"props":802,"children":803},{},[804,813,822],{"type":43,"tag":237,"props":805,"children":806},{},[807],{"type":43,"tag":287,"props":808,"children":810},{"href":809},"references\u002Flanguages\u002Fjava\u002Ftemplates\u002FPLAN_TEMPLATE.md",[811],{"type":48,"value":812},"Plan Template",{"type":43,"tag":237,"props":814,"children":815},{},[816],{"type":43,"tag":287,"props":817,"children":819},{"href":818},"references\u002Flanguages\u002Fjava\u002Ftemplates\u002FPROGRESS_TEMPLATE.md",[820],{"type":48,"value":821},"Progress Template",{"type":43,"tag":237,"props":823,"children":824},{},[825],{"type":43,"tag":287,"props":826,"children":828},{"href":827},"references\u002Flanguages\u002Fjava\u002Ftemplates\u002FSUMMARY_TEMPLATE.md",[829],{"type":48,"value":830},"Summary Template",{"type":43,"tag":101,"props":832,"children":834},{"id":833},"next",[835],{"type":48,"value":836},"Next",{"type":43,"tag":55,"props":838,"children":839},{},[840],{"type":48,"value":841},"After upgrade is validated, hand off to:",{"type":43,"tag":696,"props":843,"children":844},{},[845,855],{"type":43,"tag":237,"props":846,"children":847},{},[848,853],{"type":43,"tag":76,"props":849,"children":851},{"className":850},[],[852],{"type":48,"value":665},{"type":48,"value":854}," — for thorough post-upgrade validation",{"type":43,"tag":237,"props":856,"children":857},{},[858,863],{"type":43,"tag":76,"props":859,"children":861},{"className":860},[],[862],{"type":48,"value":673},{"type":48,"value":864}," — if the user wants to set up CI\u002FCD for the new app",{"items":866,"total":993},[867,887,901,922,943,957,975],{"slug":868,"name":868,"fn":869,"description":870,"org":871,"tags":872,"stars":22,"repoUrl":23,"updatedAt":886},"airunway-aks-setup","set up AI Runway on Azure Kubernetes Service","Set up AI Runway on AKS — from bare cluster to running model. Covers cluster verification, controller install, GPU assessment, provider setup, and first deployment. WHEN: \"setup AI Runway\", \"onboard AKS cluster\", \"install AI Runway\", \"airunway setup\", \"deploy model to AKS\", \"GPU inference on AKS\", \"KAITO setup on AKS\", \"run LLM on AKS\", \"vLLM on AKS\", \"set up model serving on AKS\", \"AI Runway controller\".",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[873,876,877,880,883],{"name":874,"slug":875,"type":15},"AI Infrastructure","ai-infrastructure",{"name":13,"slug":14,"type":15},{"name":878,"slug":879,"type":15},"Deployment","deployment",{"name":881,"slug":882,"type":15},"Kubernetes","kubernetes",{"name":884,"slug":885,"type":15},"Runway","runway","2026-07-31T05:56:13.054971",{"slug":888,"name":888,"fn":889,"description":890,"org":891,"tags":892,"stars":22,"repoUrl":23,"updatedAt":900},"appinsights-instrumentation","instrument webapps with Azure Application Insights","Guidance for instrumenting webapps with Azure Application Insights. Provides telemetry patterns, SDK setup, and configuration references. WHEN: how to instrument app, App Insights SDK, telemetry patterns, what is App Insights, Application Insights guidance, instrumentation examples, APM best practices.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[893,894,897],{"name":13,"slug":14,"type":15},{"name":895,"slug":896,"type":15},"Monitoring","monitoring",{"name":898,"slug":899,"type":15},"Observability","observability","2026-07-31T05:56:09.068625",{"slug":902,"name":902,"fn":903,"description":904,"org":905,"tags":906,"stars":22,"repoUrl":23,"updatedAt":921},"azure-ai","build applications with Azure AI services","Use for Azure AI: Search, Speech, OpenAI, Document Intelligence. Helps with search, vector\u002Fhybrid search, speech-to-text, text-to-speech, transcription, OCR. WHEN: AI Search, query search, vector search, hybrid search, semantic search, speech-to-text, text-to-speech, transcribe, OCR, convert text to speech.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[907,908,909,912,915,918],{"name":874,"slug":875,"type":15},{"name":13,"slug":14,"type":15},{"name":910,"slug":911,"type":15},"LLM","llm",{"name":913,"slug":914,"type":15},"OpenAI","openai",{"name":916,"slug":917,"type":15},"Search","search",{"name":919,"slug":920,"type":15},"Speech","speech","2026-07-31T05:56:19.069133",{"slug":923,"name":923,"fn":924,"description":925,"org":926,"tags":927,"stars":22,"repoUrl":23,"updatedAt":942},"azure-aigateway","configure Azure API Management as an AI Gateway","Configure Azure API Management as an AI Gateway for AI models, MCP tools, and agents. WHEN: semantic caching, token limit, content safety, load balancing, AI model governance, MCP rate limiting, jailbreak detection, add Azure OpenAI backend, add AI Foundry model, test AI gateway, LLM policies, configure AI backend, token metrics, AI cost control, convert API to MCP, import OpenAPI to gateway.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[928,929,932,933,936,939],{"name":874,"slug":875,"type":15},{"name":930,"slug":931,"type":15},"API Development","api-development",{"name":13,"slug":14,"type":15},{"name":934,"slug":935,"type":15},"Caching","caching",{"name":937,"slug":938,"type":15},"Governance","governance",{"name":940,"slug":941,"type":15},"Security","security","2026-07-31T05:56:23.05242",{"slug":97,"name":97,"fn":944,"description":945,"org":946,"tags":947,"stars":22,"repoUrl":23,"updatedAt":956},"migrate cross-cloud workloads to Azure","Assess and migrate cross-cloud workloads to Azure with reports and code conversion. Supports Lambda→Functions, Beanstalk\u002FHeroku\u002FApp Engine→App Service, Fargate\u002FKubernetes\u002FCloud Run\u002FSpring Boot→Container Apps. WHEN: migrate Lambda to Functions, AWS to Azure, migrate Beanstalk, migrate Heroku, migrate App Engine, Cloud Run migration, Fargate to ACA, ECS\u002FKubernetes\u002FGKE\u002FEKS to Container Apps, Spring Boot to Container Apps, cross-cloud migration.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[948,951,952,955],{"name":949,"slug":950,"type":15},"AWS","aws",{"name":13,"slug":14,"type":15},{"name":953,"slug":954,"type":15},"Google Cloud","google-cloud",{"name":17,"slug":18,"type":15},"2026-07-31T05:56:29.049979",{"slug":958,"name":958,"fn":959,"description":960,"org":961,"tags":962,"stars":22,"repoUrl":23,"updatedAt":974},"azure-compliance","audit Azure compliance and security","Run Azure compliance and security audits with azqr plus Key Vault expiration checks. Covers best-practice assessment, resource review, policy\u002Fcompliance validation, and security posture checks. WHEN: compliance scan, security audit, BEFORE running azqr (compliance cli tool), Azure best practices, Key Vault expiration check, expired certificates, expiring secrets, orphaned resources, compliance assessment.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[963,966,967,970,973],{"name":964,"slug":965,"type":15},"Audit","audit",{"name":13,"slug":14,"type":15},{"name":968,"slug":969,"type":15},"Compliance","compliance",{"name":971,"slug":972,"type":15},"Regulatory Compliance","regulatory-compliance",{"name":940,"slug":941,"type":15},"2026-07-31T05:56:11.06797",{"slug":976,"name":976,"fn":977,"description":978,"org":979,"tags":980,"stars":22,"repoUrl":23,"updatedAt":992},"azure-compute","manage and optimize Azure compute resources","Azure VM\u002FVMSS router. WHEN: create \u002F provision \u002F deploy \u002F spin-up VM, recommend VM size, compare VM pricing, VMSS, scale set, autoscale, burstable, lightweight server, website, backend, GPU, machine learning, HPC simulation, dev\u002Ftest, workload, family, load balancer, Flexible orchestration, Uniform orchestration, cost estimate, capacity reservation (CRG), reserve, guarantee capacity, pre-provision, CRG association, CRG disassociation, machine enrollment (EMM), Essential Machine Management, monitor. PREFER OVER mcp__azure__get_azure_bestpractices for VM create intents — use compute_vm_list-skus \u002F compute_vm_list-images \u002F compute_vm_check-quota.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[981,982,983,986,989],{"name":874,"slug":875,"type":15},{"name":13,"slug":14,"type":15},{"name":984,"slug":985,"type":15},"Cost Optimization","cost-optimization",{"name":987,"slug":988,"type":15},"Performance","performance",{"name":990,"slug":991,"type":15},"Virtual Machines","virtual-machines","2026-07-31T05:56:16.042469",28,{"items":995,"total":1176},[996,1018,1035,1054,1065,1080,1091,1102,1117,1132,1151,1164],{"slug":997,"name":997,"fn":998,"description":999,"org":1000,"tags":1001,"stars":1015,"repoUrl":1016,"updatedAt":1017},"rushstack-best-practices","manage Rush monorepos with best practices","Provides best practices and guidance for working with Rush monorepos. Use when the user is working in a Rush-based repository, asks about Rush commands (install, update, build, rebuild), needs help with project selection, dependency management, build caching, subspace configuration, or troubleshooting Rush-specific issues.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1002,1005,1008,1009,1012],{"name":1003,"slug":1004,"type":15},"Engineering","engineering",{"name":1006,"slug":1007,"type":15},"Local Development","local-development",{"name":9,"slug":8,"type":15},{"name":1010,"slug":1011,"type":15},"Project Management","project-management",{"name":1013,"slug":1014,"type":15},"Rush","rush",6484,"https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Frushstack","2026-04-06T18:34:44.965032",{"slug":1019,"name":1019,"fn":1020,"description":1021,"org":1022,"tags":1023,"stars":1032,"repoUrl":1033,"updatedAt":1034},"azure-ai-agents-persistent-dotnet","build AI agents with Azure .NET SDK","Azure AI Agents Persistent SDK for .NET. Low-level SDK for creating and managing AI agents with threads, messages, runs, and tools. Use for agent CRUD, conversation threads, streaming responses, function calling, file search, and code interpreter. Triggers: \"PersistentAgentsClient\", \"persistent agents\", \"agent threads\", \"agent runs\", \"streaming agents\", \"function calling agents .NET\".\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1024,1027,1030,1031],{"name":1025,"slug":1026,"type":15},".NET","net",{"name":1028,"slug":1029,"type":15},"Agents","agents",{"name":13,"slug":14,"type":15},{"name":910,"slug":911,"type":15},2804,"https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fskills","2026-07-03T16:32:10.297433",{"slug":1036,"name":1036,"fn":1037,"description":1038,"org":1039,"tags":1040,"stars":1032,"repoUrl":1033,"updatedAt":1053},"azure-ai-anomalydetector-java","build anomaly detection applications with Java","Build anomaly detection applications with Azure AI Anomaly Detector SDK for Java. Use when implementing univariate\u002Fmultivariate anomaly detection, time-series analysis, or AI-powered monitoring.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1041,1044,1045,1048,1051,1052],{"name":1042,"slug":1043,"type":15},"Analytics","analytics",{"name":13,"slug":14,"type":15},{"name":1046,"slug":1047,"type":15},"Data Analysis","data-analysis",{"name":1049,"slug":1050,"type":15},"Java","java",{"name":9,"slug":8,"type":15},{"name":895,"slug":896,"type":15},"2026-05-13T06:14:16.261754",{"slug":1055,"name":1055,"fn":1056,"description":1057,"org":1058,"tags":1059,"stars":1032,"repoUrl":1033,"updatedAt":1064},"azure-ai-contentsafety-java","build content moderation applications with Azure AI","Build content moderation applications with Azure AI Content Safety SDK for Java. Use when implementing text\u002Fimage analysis, blocklist management, or harm detection for hate, violence, sexual content, and self-harm.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1060,1061,1062,1063],{"name":874,"slug":875,"type":15},{"name":13,"slug":14,"type":15},{"name":1049,"slug":1050,"type":15},{"name":940,"slug":941,"type":15},"2026-07-07T06:53:31.293235",{"slug":1066,"name":1066,"fn":1067,"description":1068,"org":1069,"tags":1070,"stars":1032,"repoUrl":1033,"updatedAt":1079},"azure-ai-contentsafety-py","detect harmful content with Azure AI Content Safety","Azure AI Content Safety SDK for Python. Use for detecting harmful content in text and images with multi-severity classification.\nTriggers: \"azure-ai-contentsafety\", \"ContentSafetyClient\", \"content moderation\", \"harmful content\", \"text analysis\", \"image analysis\".\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1071,1072,1073,1074,1075,1078],{"name":13,"slug":14,"type":15},{"name":968,"slug":969,"type":15},{"name":910,"slug":911,"type":15},{"name":9,"slug":8,"type":15},{"name":1076,"slug":1077,"type":15},"Python","python",{"name":940,"slug":941,"type":15},"2026-07-18T05:14:23.017504",{"slug":1081,"name":1081,"fn":1082,"description":1083,"org":1084,"tags":1085,"stars":1032,"repoUrl":1033,"updatedAt":1090},"azure-ai-language-conversations-py","implement conversational language understanding with Python","Implement Conversational Language Understanding (CLU) using the azure-ai-language-conversations Python SDK. Use when working with ConversationAnalysisClient to analyze conversation intent and entities, building NLP features, or integrating language understanding into applications.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1086,1087,1088,1089],{"name":1042,"slug":1043,"type":15},{"name":13,"slug":14,"type":15},{"name":910,"slug":911,"type":15},{"name":1076,"slug":1077,"type":15},"2026-07-31T05:54:29.068751",{"slug":1092,"name":1092,"fn":1093,"description":1094,"org":1095,"tags":1096,"stars":1032,"repoUrl":1033,"updatedAt":1101},"azure-ai-translation-text-py","translate text using Azure AI services","Azure AI Text Translation SDK for real-time text translation, transliteration, language detection, and dictionary lookup. Use for translating text content in applications.\nTriggers: \"text translation\", \"translator\", \"translate text\", \"transliterate\", \"TextTranslationClient\".\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1097,1098,1099,1100],{"name":930,"slug":931,"type":15},{"name":13,"slug":14,"type":15},{"name":9,"slug":8,"type":15},{"name":1076,"slug":1077,"type":15},"2026-07-18T05:14:16.988376",{"slug":1103,"name":1103,"fn":1104,"description":1105,"org":1106,"tags":1107,"stars":1032,"repoUrl":1033,"updatedAt":1116},"azure-ai-vision-imageanalysis-py","analyze images with Azure AI Vision","Azure AI Vision Image Analysis SDK for captions, tags, objects, OCR, people detection, and smart cropping. Use for computer vision and image understanding tasks.\nTriggers: \"image analysis\", \"computer vision\", \"OCR\", \"object detection\", \"ImageAnalysisClient\", \"image caption\".\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1108,1109,1112,1115],{"name":13,"slug":14,"type":15},{"name":1110,"slug":1111,"type":15},"Computer Vision","computer-vision",{"name":1113,"slug":1114,"type":15},"Images","images",{"name":1076,"slug":1077,"type":15},"2026-07-18T05:14:18.007737",{"slug":1118,"name":1118,"fn":1119,"description":1120,"org":1121,"tags":1122,"stars":1032,"repoUrl":1033,"updatedAt":1131},"azure-appconfiguration-java","manage configuration with Azure App Configuration","Azure App Configuration SDK for Java. Centralized application configuration management with key-value settings, feature flags, and snapshots.\nTriggers: \"ConfigurationClient java\", \"app configuration java\", \"feature flag java\", \"configuration setting java\", \"azure config java\".\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1123,1124,1127,1130],{"name":13,"slug":14,"type":15},{"name":1125,"slug":1126,"type":15},"Configuration","configuration",{"name":1128,"slug":1129,"type":15},"Feature Flags","feature-flags",{"name":1049,"slug":1050,"type":15},"2026-07-03T16:32:01.278468",{"slug":1133,"name":1133,"fn":1134,"description":1135,"org":1136,"tags":1137,"stars":1032,"repoUrl":1033,"updatedAt":1150},"azure-cosmos-rust","build applications with Azure Cosmos DB","Azure Cosmos DB library for Rust (NoSQL API). Document CRUD, containers, and globally distributed data.\nTriggers: \"cosmos db rust\", \"CosmosClient rust\", \"document crud rust\", \"NoSQL rust\", \"partition key rust\".\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1138,1141,1144,1147],{"name":1139,"slug":1140,"type":15},"Cosmos DB","cosmos-db",{"name":1142,"slug":1143,"type":15},"Database","database",{"name":1145,"slug":1146,"type":15},"NoSQL","nosql",{"name":1148,"slug":1149,"type":15},"Rust","rust","2026-07-31T05:54:27.021432",{"slug":1152,"name":1152,"fn":1134,"description":1153,"org":1154,"tags":1155,"stars":1032,"repoUrl":1033,"updatedAt":1163},"azure-cosmos-ts","Azure Cosmos DB JavaScript\u002FTypeScript SDK (@azure\u002Fcosmos) for data plane operations. Use for CRUD operations on documents, queries, bulk operations, and container management. Triggers: \"Cosmos DB\", \"@azure\u002Fcosmos\", \"CosmosClient\", \"document CRUD\", \"NoSQL queries\", \"bulk operations\", \"partition key\", \"container.items\".\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1156,1157,1158,1159,1160],{"name":1139,"slug":1140,"type":15},{"name":1142,"slug":1143,"type":15},{"name":9,"slug":8,"type":15},{"name":1145,"slug":1146,"type":15},{"name":1161,"slug":1162,"type":15},"TypeScript","typescript","2026-07-03T16:31:19.368382",{"slug":1165,"name":1165,"fn":1166,"description":1167,"org":1168,"tags":1169,"stars":1032,"repoUrl":1033,"updatedAt":1175},"azure-data-tables-java","build table storage applications with Java","Build table storage applications with Azure Tables SDK for Java. Use when working with Azure Table Storage or Cosmos DB Table API for NoSQL key-value data, schemaless storage, or structured data at scale.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1170,1171,1172,1173,1174],{"name":13,"slug":14,"type":15},{"name":1139,"slug":1140,"type":15},{"name":1142,"slug":1143,"type":15},{"name":1049,"slug":1050,"type":15},{"name":1145,"slug":1146,"type":15},"2026-05-13T06:14:17.582229",267]