[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill-microsoft-azure-prepare":3,"mdc-x0p0is-key":37,"related-repo-microsoft-azure-prepare":1736,"related-org-microsoft-azure-prepare":1864},{"slug":4,"name":4,"fn":5,"description":6,"org":7,"tags":11,"stars":25,"repoUrl":26,"updatedAt":27,"license":28,"forks":29,"topics":30,"repo":32,"sourceUrl":35,"mdContent":36},"azure-prepare","prepare Azure applications for deployment","Prepare azd-based Azure projects for deployment: generates azure.yaml, infrastructure (Bicep\u002FTerraform), and Dockerfiles for the Azure Developer CLI (azd) workflow. USE ONLY when the user explicitly wants to use azd as the deployment tool, or the project already has an azure.yaml file. DO NOT USE FOR: non-azd deployments, Python App Service code-only deploys (use python-appservice-deploy), or cross-cloud migration (use azure-cloud-migrate). WHEN: prepare app for azd, create azure.yaml, set up azd infrastructure, modernize app for Azure with azd, deploy with azd, function app, timer trigger, service bus trigger, event-driven function, managed identity, generate Bicep, generate Terraform, create and deploy to Azure.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},"microsoft","Microsoft","https:\u002F\u002Fpexgzepcugksgbtrxkhf.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Forg-logos\u002Fmicrosoft.png",[12,16,19,22],{"name":13,"slug":14,"type":15},"Azure","azure","tag",{"name":17,"slug":18,"type":15},"Architecture","architecture",{"name":20,"slug":21,"type":15},"Deployment","deployment",{"name":23,"slug":24,"type":15},"Docker","docker",1324,"https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fazure-skills","2026-07-31T05:56:14.05918","MIT",220,[31],"agent-skills",{"repoUrl":26,"stars":25,"forks":29,"topics":33,"description":34},[31],"Official agent plugin providing skills and MCP server configurations for Azure scenarios.","https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fazure-skills\u002Ftree\u002FHEAD\u002Fskills\u002Fazure-prepare","---\nname: azure-prepare\ndescription: \"Prepare azd-based Azure projects for deployment: generates azure.yaml, infrastructure (Bicep\u002FTerraform), and Dockerfiles for the Azure Developer CLI (azd) workflow. USE ONLY when the user explicitly wants to use azd as the deployment tool, or the project already has an azure.yaml file. DO NOT USE FOR: non-azd deployments, Python App Service code-only deploys (use python-appservice-deploy), or cross-cloud migration (use azure-cloud-migrate). WHEN: prepare app for azd, create azure.yaml, set up azd infrastructure, modernize app for Azure with azd, deploy with azd, function app, timer trigger, service bus trigger, event-driven function, managed identity, generate Bicep, generate Terraform, create and deploy to Azure.\"\nlicense: MIT\nmetadata:\n  author: Microsoft\n  version: \"1.3.1\"\n---\n\n# Azure Prepare\n\n> **AUTHORITATIVE GUIDANCE — MANDATORY COMPLIANCE**\n>\n> This document is the **official, canonical source** for preparing applications for Azure deployment. You **MUST** follow these instructions exactly as written unless they contradict security policies given to you. When in doubt, present the conflicting instructions from this document and ask the user for explicit confirmation. Do not improvise, infer, or substitute steps.\n\n---\n\n## Triggers\n\nActivate this skill when user wants to:\n- Create a new application\n- Add services or components to an existing app\n- Make updates or changes to existing application\n- Modernize or migrate an application\n- Set up Azure infrastructure\n- Deploy to Azure or host on Azure\n- Create and deploy to Azure (including Terraform-based deployment requests)\n\n## Rules\n\n1. **Plan first — MANDATORY** — You MUST physically write an initial `.azure\u002Fdeployment-plan.md` **skeleton in the workspace root directory** (not the session-state folder) **as your very first action** — before any code generation or execution begins. Write the skeleton immediately, then populate it progressively as Phase 1 analysis and research unfold; finalize it with all decisions at Phase 1 Step 6. This file must exist on disk throughout. azure-validate and azure-deploy depend on it and will fail without it. Do not skip or defer this step.\n2. **Get approval** — Present plan to user before execution\n3. **Research before generating** — Load references and invoke related skills\n4. **Update plan progressively** — Mark steps complete as you go\n5. **Validate before deploy** — Invoke azure-validate before azure-deploy\n6. **Confirm Azure context** — Use `ask_user` for subscription and location per [Azure Context](references\u002Fazure-context.md)\n7. ❌ **Destructive actions require `ask_user`** — [Global Rules](references\u002Fglobal-rules.md)\n8. ⛔ **NEVER delete user project or workspace directories** — When adding features to an existing project, MODIFY existing files. `azd init -t \u003Ctemplate>` is for NEW projects only; do NOT run `azd init -t` in an existing workspace. Plain `azd init` (without a template argument) may be used in existing workspaces when appropriate. File deletions within a project (e.g., removing build artifacts or temp files) are permitted when appropriate, but NEVER delete the user's project or workspace directory itself. See [Global Rules](references\u002Fglobal-rules.md).\n9. **Scope: preparation only** — This skill generates infrastructure code and configuration files. Deployment execution (`azd up`, `azd deploy`, `terraform apply`) is handled by the **azure-deploy** skill, which provides built-in error recovery and deployment verification.\n10. ⛔ **SQL Server Bicep: NEVER generate `administratorLogin` or `administratorLoginPassword`** — not in direct properties, not in conditional\u002Fternary branches, not anywhere in the file. Always use Entra-only authentication (`azureADOnlyAuthentication: true`) unconditionally. See [references\u002Fservices\u002Fsql-database\u002Fbicep.md](references\u002Fservices\u002Fsql-database\u002Fbicep.md).\n11. **Remove stale template IaC after conversion** — If you converted Bicep templates from the selected `azd` template into Terraform templates, remove the Bicep templates that were introduced by that `azd` template and are now fully replaced by Terraform equivalents. Do not remove user-authored Bicep files. Only remove those template-provided Bicep files after the Terraform IaC is complete and Terraform has been selected as the deployment path. Before handing off to azure-validate skill, keep only the IaC templates required by the chosen deployment path.\n\n---\n\n## ❌ PLAN-FIRST WORKFLOW — MANDATORY\n\n> **YOU MUST CREATE A PLAN BEFORE DOING ANY WORK**\n>\n> 1. **STOP** — Do not generate any code, infrastructure, or configuration yet\n> 2. **CREATE SKELETON** - Write an initial `.azure\u002Fdeployment-plan.md` skeleton to disk **immediately** (before any code generation or execution begins), then populate it progressively as Phase 1 steps 1-5 reveal details; finalize it at Step 6\n> 3. **CONFIRM** — Present the completed plan to the user and get approval\n> 4. **EXECUTE** — Only after approval, execute the plan step by step\n>\n> The `.azure\u002Fdeployment-plan.md` file is the **source of truth** for this workflow and for azure-validate and azure-deploy skills. Without it, those skills will fail.\n>\n> ⚠️ **CRITICAL: `.azure\u002Fdeployment-plan.md` must be WRITTEN TO DISK inside the workspace root** (e.g., `\u003Cworkspace-root>\u002F.azure\u002Fdeployment-plan.md`), not in the session-state folder. Use a file-write tool to create this file. This is the deployment plan artifact read by azure-validate and azure-deploy. **You MUST create this file — do not proceed without it.** \n> ⚠️ **CRITICAL: You must create the file with the name `.azure\u002Fdeployment-plan.md` as is**. You must not use other names such as `.azure\u002Fplan.md`.\n>\n> ⛔ **Critical:** Skipping the plan file creation will cause azure-validate and azure-deploy to fail. This requirement has no exceptions.\n\n---\n\n## ❌ STEP 0: Specialized Technology Check — MANDATORY FIRST ACTION\n\n**BEFORE starting Phase 1**, check if the user's prompt OR workspace codebase matches a specialized technology that has a dedicated skill with tested templates. If matched, **invoke that skill FIRST** — then resume azure-prepare for validation and deployment.\n\n### Check 1: Prompt keywords\n\n| Prompt keywords | Invoke FIRST |\n|----------------|-------------|\n| Python + App Service (e.g., \"deploy Python to App Service\", \"Flask on Azure App Service\", \"publish Python web app to App Service\") | **python-appservice-deploy** |\n| Lambda, AWS Lambda, migrate AWS, migrate GCP, Lambda to Functions, migrate from AWS, migrate from GCP | **azure-cloud-migrate** |\n| Azure Functions, function app, serverless function, timer trigger, HTTP trigger, func new | Stay in **azure-prepare** — prefer Azure Functions templates in Step 4 |\n| APIM, API Management, API gateway, deploy APIM | Stay in **azure-prepare** — see [APIM Deployment Guide](references\u002Fapim.md) |\n| AI gateway, AI gateway policy, AI gateway backend, AI gateway configuration | **azure-aigateway** |\n| workflow, orchestration, multi-step, pipeline, fan-out\u002Ffan-in, saga, long-running process, durable, order processing | Stay in **azure-prepare** — select **durable** recipe in Step 4. **MUST** load [durable.md](references\u002Fservices\u002Ffunctions\u002Fdurable.md), [DTS reference](references\u002Fservices\u002Fdurable-task-scheduler\u002FREADME.md), and [DTS Bicep patterns](references\u002Fservices\u002Fdurable-task-scheduler\u002Fbicep.md). |\n\n> ⚠️ Check the user's **prompt text** — not just existing code. Critical for greenfield projects with no codebase to scan. See [full routing table](references\u002Fspecialized-routing.md).\n\nAfter the specialized skill completes, **resume azure-prepare** at Phase 1 Step 4 (Select Recipe) for remaining infrastructure, validation, and deployment.\n\n---\n\n## Phase 1: Planning (BLOCKING — Complete Before Any Execution)\n\nCreate `.azure\u002Fdeployment-plan.md` by completing these steps. Do NOT generate any artifacts until the plan is approved.\n\n| # | Action | Reference |\n|---|--------|-----------|\n| 0 | If the prompt matches a specialized technology with a dedicated skill, invoke that skill first | [specialized-routing.md](references\u002Fspecialized-routing.md) |\n| 1 | **Analyze Workspace** — Determine mode: NEW, MODIFY, or MODERNIZE | [analyze.md](references\u002Fanalyze.md) |\n| 2 | **Gather Requirements** — Classification, scale, budget | [requirements.md](references\u002Frequirements.md) |\n| 3 | **Scan Codebase** — Identify components, technologies, dependencies | [scan.md](references\u002Fscan.md) |\n| 4 | **Select Recipe** — Choose AZD (default), AZCLI, Bicep, or Terraform | [recipe-selection.md](references\u002Frecipe-selection.md) |\n| 5 | **Plan Architecture** — Select stack + map components to Azure services | [architecture.md](references\u002Farchitecture.md) |\n| 6 | **Finalize Plan (MANDATORY)** - Use a file-write tool to finalize `.azure\u002Fdeployment-plan.md` with all decisions from steps 1-5. Update the skeleton written at the start of Phase 1 with the complete content. The file must be fully populated before you present the plan to the user. | [plan-template.md](references\u002Fplan-template.md) |\n| 7 | **Present Plan** — Show plan to user and ask for approval | `.azure\u002Fdeployment-plan.md` |\n| 8 | **Destructive actions require `ask_user`** | [Global Rules](references\u002Fglobal-rules.md) |\n\n---\n\n> **❌ STOP HERE** — Do NOT proceed to Phase 2 until the user approves the plan.\n\n---\n\n## Phase 2: Execution (Only After Plan Approval)\n\nExecute the approved plan. Update `.azure\u002Fdeployment-plan.md` status after each step.\n\n| # | Action | Reference |\n|---|--------|-----------|\n| 1 | **Research Components** — Load service references + invoke related skills | [research.md](references\u002Fresearch.md) |\n| 2 | **Confirm Azure Context** — Detect and confirm subscription + location and check the resource provisioning limit | [Azure Context](references\u002Fazure-context.md) |\n| 3 | **Generate Artifacts** — Create infrastructure and configuration files | [generate.md](references\u002Fgenerate.md) |\n| 4 | **Harden Security** — Apply security best practices | [security.md](references\u002Fsecurity.md) |\n| 5 | **Functional Verification** — Verify the app works (UI + backend), locally if possible | [functional-verification.md](references\u002Ffunctional-verification.md) |\n| 6 | **⛔ Update Plan (MANDATORY before hand-off)** — Use the `edit` tool to change the Status in `.azure\u002Fdeployment-plan.md` to `Ready for Validation`. You **MUST** complete this edit **BEFORE** invoking azure-validate. Do NOT skip this step. | `.azure\u002Fdeployment-plan.md` |\n| 7 | **⛔ MANDATORY Hand Off** — Invoke **azure-validate** skill. Your preparation work is done. Do NOT run `azd up`, `azd deploy`, or any deployment command directly — all deployment execution is handled by azure-deploy after azure-validate completes. **PREREQUISITE:** Step 6 must be completed first — `.azure\u002Fdeployment-plan.md` status must say `Ready for Validation`. | — |\n\n---\n\n## Outputs\n\n| Artifact | Location |\n|----------|----------|\n| **Plan** | `.azure\u002Fdeployment-plan.md` |\n| Infrastructure | `.\u002Finfra\u002F` |\n| AZD Config | `azure.yaml` (AZD only) |\n| Dockerfiles | `src\u002F\u003Ccomponent>\u002FDockerfile` |\n\n---\n\n## SDK Quick References\n\n- **Azure Developer CLI**: [azd](references\u002Fsdk\u002Fazd-deployment.md)\n- **Azure Identity**: [Python](references\u002Fsdk\u002Fazure-identity-py.md) | [.NET](references\u002Fsdk\u002Fazure-identity-dotnet.md) | [TypeScript](references\u002Fsdk\u002Fazure-identity-ts.md) | [Java](references\u002Fsdk\u002Fazure-identity-java.md)\n- **App Configuration**: [Python](references\u002Fsdk\u002Fazure-appconfiguration-py.md) | [TypeScript](references\u002Fsdk\u002Fazure-appconfiguration-ts.md) | [Java](references\u002Fsdk\u002Fazure-appconfiguration-java.md)\n\n---\n\n## Next\n\n> **⛔ MANDATORY NEXT STEP — DO NOT SKIP**\n>\n> After completing preparation, you **MUST** invoke **azure-validate** before any deployment attempt. Do NOT skip validation. Do NOT go directly to azure-deploy. Do NOT run `azd up` or any deployment command directly. The workflow is:\n>\n> `azure-prepare` → `azure-validate` → `azure-deploy`\n>\n> **⛔ BEFORE invoking azure-validate**, you MUST use the `edit` tool to update `.azure\u002Fdeployment-plan.md` status to `Ready for Validation`. If the plan status has not been updated, the validation will fail.\n>\n> This applies to ALL deployment scenarios including containerized apps, Container Apps, App Service, Azure Functions, static sites, and any other Azure target. No exceptions.\n>\n> Skipping validation leads to deployment failures. Be patient and follow the complete workflow for the highest success outcome.\n\n**→ Update plan status to `Ready for Validation`, then invoke azure-validate**\n",{"data":38,"body":41},{"name":4,"description":6,"license":28,"metadata":39},{"author":9,"version":40},"1.3.1",{"type":42,"children":43},"root",[44,52,85,89,96,101,141,147,418,421,427,580,583,589,606,613,785,807,819,822,828,840,1110,1113,1126,1129,1135,1147,1422,1425,1431,1525,1528,1534,1615,1618,1624,1721],{"type":45,"tag":46,"props":47,"children":48},"element","h1",{"id":4},[49],{"type":50,"value":51},"text","Azure Prepare",{"type":45,"tag":53,"props":54,"children":55},"blockquote",{},[56,66],{"type":45,"tag":57,"props":58,"children":59},"p",{},[60],{"type":45,"tag":61,"props":62,"children":63},"strong",{},[64],{"type":50,"value":65},"AUTHORITATIVE GUIDANCE — MANDATORY COMPLIANCE",{"type":45,"tag":57,"props":67,"children":68},{},[69,71,76,78,83],{"type":50,"value":70},"This document is the ",{"type":45,"tag":61,"props":72,"children":73},{},[74],{"type":50,"value":75},"official, canonical source",{"type":50,"value":77}," for preparing applications for Azure deployment. You ",{"type":45,"tag":61,"props":79,"children":80},{},[81],{"type":50,"value":82},"MUST",{"type":50,"value":84}," follow these instructions exactly as written unless they contradict security policies given to you. When in doubt, present the conflicting instructions from this document and ask the user for explicit confirmation. 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Write the skeleton immediately, then populate it progressively as Phase 1 analysis and research unfold; finalize it with all decisions at Phase 1 Step 6. This file must exist on disk throughout. azure-validate and azure-deploy depend on it and will fail without it. Do not skip or defer this step.",{"type":45,"tag":106,"props":185,"children":186},{},[187,192],{"type":45,"tag":61,"props":188,"children":189},{},[190],{"type":50,"value":191},"Get approval",{"type":50,"value":193}," — Present plan to user before execution",{"type":45,"tag":106,"props":195,"children":196},{},[197,202],{"type":45,"tag":61,"props":198,"children":199},{},[200],{"type":50,"value":201},"Research before generating",{"type":50,"value":203}," — Load references and invoke related skills",{"type":45,"tag":106,"props":205,"children":206},{},[207,212],{"type":45,"tag":61,"props":208,"children":209},{},[210],{"type":50,"value":211},"Update plan progressively",{"type":50,"value":213}," — Mark steps complete as you go",{"type":45,"tag":106,"props":215,"children":216},{},[217,222],{"type":45,"tag":61,"props":218,"children":219},{},[220],{"type":50,"value":221},"Validate before deploy",{"type":50,"value":223}," — Invoke azure-validate before azure-deploy",{"type":45,"tag":106,"props":225,"children":226},{},[227,232,234,240,242],{"type":45,"tag":61,"props":228,"children":229},{},[230],{"type":50,"value":231},"Confirm Azure context",{"type":50,"value":233}," — Use ",{"type":45,"tag":162,"props":235,"children":237},{"className":236},[],[238],{"type":50,"value":239},"ask_user",{"type":50,"value":241}," for subscription and location per ",{"type":45,"tag":243,"props":244,"children":246},"a",{"href":245},"references\u002Fazure-context.md",[247],{"type":50,"value":248},"Azure Context",{"type":45,"tag":106,"props":250,"children":251},{},[252,254,264,266],{"type":50,"value":253},"❌ ",{"type":45,"tag":61,"props":255,"children":256},{},[257,259],{"type":50,"value":258},"Destructive actions require ",{"type":45,"tag":162,"props":260,"children":262},{"className":261},[],[263],{"type":50,"value":239},{"type":50,"value":265}," — ",{"type":45,"tag":243,"props":267,"children":269},{"href":268},"references\u002Fglobal-rules.md",[270],{"type":50,"value":271},"Global Rules",{"type":45,"tag":106,"props":273,"children":274},{},[275,277,282,284,290,292,298,300,306,308,312],{"type":50,"value":276},"⛔ ",{"type":45,"tag":61,"props":278,"children":279},{},[280],{"type":50,"value":281},"NEVER delete user project or workspace directories",{"type":50,"value":283}," — When adding features to an existing project, MODIFY existing files. 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Always use Entra-only authentication (",{"type":45,"tag":162,"props":380,"children":382},{"className":381},[],[383],{"type":50,"value":384},"azureADOnlyAuthentication: true",{"type":50,"value":386},") unconditionally. 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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},[1796,1797,1800,1801,1804,1807],{"name":1745,"slug":1746,"type":15},{"name":1798,"slug":1799,"type":15},"API Development","api-development",{"name":13,"slug":14,"type":15},{"name":1802,"slug":1803,"type":15},"Caching","caching",{"name":1805,"slug":1806,"type":15},"Governance","governance",{"name":1808,"slug":1809,"type":15},"Security","security","2026-07-31T05:56:23.05242",{"slug":672,"name":672,"fn":1812,"description":1813,"org":1814,"tags":1815,"stars":25,"repoUrl":26,"updatedAt":1826},"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},[1816,1819,1820,1823],{"name":1817,"slug":1818,"type":15},"AWS","aws",{"name":13,"slug":14,"type":15},{"name":1821,"slug":1822,"type":15},"Google Cloud","google-cloud",{"name":1824,"slug":1825,"type":15},"Migration","migration","2026-07-31T05:56:29.049979",{"slug":1828,"name":1828,"fn":1829,"description":1830,"org":1831,"tags":1832,"stars":25,"repoUrl":26,"updatedAt":1844},"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},[1833,1836,1837,1840,1843],{"name":1834,"slug":1835,"type":15},"Audit","audit",{"name":13,"slug":14,"type":15},{"name":1838,"slug":1839,"type":15},"Compliance","compliance",{"name":1841,"slug":1842,"type":15},"Regulatory Compliance","regulatory-compliance",{"name":1808,"slug":1809,"type":15},"2026-07-31T05:56:11.06797",{"slug":1846,"name":1846,"fn":1847,"description":1848,"org":1849,"tags":1850,"stars":25,"repoUrl":26,"updatedAt":1862},"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},[1851,1852,1853,1856,1859],{"name":1745,"slug":1746,"type":15},{"name":13,"slug":14,"type":15},{"name":1854,"slug":1855,"type":15},"Cost Optimization","cost-optimization",{"name":1857,"slug":1858,"type":15},"Performance","performance",{"name":1860,"slug":1861,"type":15},"Virtual Machines","virtual-machines","2026-07-31T05:56:16.042469",28,{"items":1865,"total":2042},[1866,1888,1904,1922,1933,1947,1958,1969,1984,1999,2018,2030],{"slug":1867,"name":1867,"fn":1868,"description":1869,"org":1870,"tags":1871,"stars":1885,"repoUrl":1886,"updatedAt":1887},"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},[1872,1875,1878,1879,1882],{"name":1873,"slug":1874,"type":15},"Engineering","engineering",{"name":1876,"slug":1877,"type":15},"Local Development","local-development",{"name":9,"slug":8,"type":15},{"name":1880,"slug":1881,"type":15},"Project Management","project-management",{"name":1883,"slug":1884,"type":15},"Rush","rush",6484,"https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Frushstack","2026-04-06T18:34:44.965032",{"slug":1889,"name":1889,"fn":1890,"description":1891,"org":1892,"tags":1893,"stars":1901,"repoUrl":1902,"updatedAt":1903},"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},[1894,1896,1899,1900],{"name":1574,"slug":1895,"type":15},"net",{"name":1897,"slug":1898,"type":15},"Agents","agents",{"name":13,"slug":14,"type":15},{"name":1779,"slug":1780,"type":15},2804,"https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fskills","2026-07-03T16:32:10.297433",{"slug":1905,"name":1905,"fn":1906,"description":1907,"org":1908,"tags":1909,"stars":1901,"repoUrl":1902,"updatedAt":1921},"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},[1910,1913,1914,1917,1919,1920],{"name":1911,"slug":1912,"type":15},"Analytics","analytics",{"name":13,"slug":14,"type":15},{"name":1915,"slug":1916,"type":15},"Data Analysis","data-analysis",{"name":1588,"slug":1918,"type":15},"java",{"name":9,"slug":8,"type":15},{"name":1764,"slug":1765,"type":15},"2026-05-13T06:14:16.261754",{"slug":1923,"name":1923,"fn":1924,"description":1925,"org":1926,"tags":1927,"stars":1901,"repoUrl":1902,"updatedAt":1932},"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},[1928,1929,1930,1931],{"name":1745,"slug":1746,"type":15},{"name":13,"slug":14,"type":15},{"name":1588,"slug":1918,"type":15},{"name":1808,"slug":1809,"type":15},"2026-07-07T06:53:31.293235",{"slug":1934,"name":1934,"fn":1935,"description":1936,"org":1937,"tags":1938,"stars":1901,"repoUrl":1902,"updatedAt":1946},"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},[1939,1940,1941,1942,1943,1945],{"name":13,"slug":14,"type":15},{"name":1838,"slug":1839,"type":15},{"name":1779,"slug":1780,"type":15},{"name":9,"slug":8,"type":15},{"name":1566,"slug":1944,"type":15},"python",{"name":1808,"slug":1809,"type":15},"2026-07-18T05:14:23.017504",{"slug":1948,"name":1948,"fn":1949,"description":1950,"org":1951,"tags":1952,"stars":1901,"repoUrl":1902,"updatedAt":1957},"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},[1953,1954,1955,1956],{"name":1911,"slug":1912,"type":15},{"name":13,"slug":14,"type":15},{"name":1779,"slug":1780,"type":15},{"name":1566,"slug":1944,"type":15},"2026-07-31T05:54:29.068751",{"slug":1959,"name":1959,"fn":1960,"description":1961,"org":1962,"tags":1963,"stars":1901,"repoUrl":1902,"updatedAt":1968},"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},[1964,1965,1966,1967],{"name":1798,"slug":1799,"type":15},{"name":13,"slug":14,"type":15},{"name":9,"slug":8,"type":15},{"name":1566,"slug":1944,"type":15},"2026-07-18T05:14:16.988376",{"slug":1970,"name":1970,"fn":1971,"description":1972,"org":1973,"tags":1974,"stars":1901,"repoUrl":1902,"updatedAt":1983},"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},[1975,1976,1979,1982],{"name":13,"slug":14,"type":15},{"name":1977,"slug":1978,"type":15},"Computer Vision","computer-vision",{"name":1980,"slug":1981,"type":15},"Images","images",{"name":1566,"slug":1944,"type":15},"2026-07-18T05:14:18.007737",{"slug":1985,"name":1985,"fn":1986,"description":1987,"org":1988,"tags":1989,"stars":1901,"repoUrl":1902,"updatedAt":1998},"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},[1990,1991,1994,1997],{"name":13,"slug":14,"type":15},{"name":1992,"slug":1993,"type":15},"Configuration","configuration",{"name":1995,"slug":1996,"type":15},"Feature Flags","feature-flags",{"name":1588,"slug":1918,"type":15},"2026-07-03T16:32:01.278468",{"slug":2000,"name":2000,"fn":2001,"description":2002,"org":2003,"tags":2004,"stars":1901,"repoUrl":1902,"updatedAt":2017},"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},[2005,2008,2011,2014],{"name":2006,"slug":2007,"type":15},"Cosmos DB","cosmos-db",{"name":2009,"slug":2010,"type":15},"Database","database",{"name":2012,"slug":2013,"type":15},"NoSQL","nosql",{"name":2015,"slug":2016,"type":15},"Rust","rust","2026-07-31T05:54:27.021432",{"slug":2019,"name":2019,"fn":2001,"description":2020,"org":2021,"tags":2022,"stars":1901,"repoUrl":1902,"updatedAt":2029},"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},[2023,2024,2025,2026,2027],{"name":2006,"slug":2007,"type":15},{"name":2009,"slug":2010,"type":15},{"name":9,"slug":8,"type":15},{"name":2012,"slug":2013,"type":15},{"name":1581,"slug":2028,"type":15},"typescript","2026-07-03T16:31:19.368382",{"slug":2031,"name":2031,"fn":2032,"description":2033,"org":2034,"tags":2035,"stars":1901,"repoUrl":1902,"updatedAt":2041},"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},[2036,2037,2038,2039,2040],{"name":13,"slug":14,"type":15},{"name":2006,"slug":2007,"type":15},{"name":2009,"slug":2010,"type":15},{"name":1588,"slug":1918,"type":15},{"name":2012,"slug":2013,"type":15},"2026-05-13T06:14:17.582229",267]