[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M71407SH2N0EQCKE3084K4CN":3,"skill-same:01M71407SH2N0EQCKE3084K4CN":84},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":15,"categories":16,"keywords":22,"publishedAt":42,"linkOnly":43,"markdownContent":44,"markdownBody":45,"frontMatter":46,"refName":50,"commitSha":51,"skillDirectory":52,"forksCount":13,"repositoryHtmlUrl":53,"repositoryHomepageUrl":6,"ownerHtmlUrl":54,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":55,"install":56,"resources":69},"01M71407SH2N0EQCKE3084K4CN","preset",null,"Intelligently deploys Azure OpenAI models to optimal regions by analyzing capacity across all available regions. Automatically checks current region first and shows alternatives if needed. USE FOR: quick deployment, optimal region, best region, automatic region selection, fast setup, multi-region capacity check, high availability deployment, deploy to best location. DO NOT USE FOR: custom SKU selection (use customize), specific version selection (use customize), custom capacity configuration (use customize), PTU deployments (use customize).","engvalentineamba77-hue\u002FMY-PLAN-001","engvalentineamba77-hue","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F275656375?v=4","01M70FQJTV0VTZB145JR1EFPJZ","01M70FQJVMAPKZFCJZ83T8M331",0,"MIT","https:\u002F\u002Fgithub.com\u002Fengvalentineamba77-hue\u002FMY-PLAN-001\u002Fblob\u002Fcopilot\u002Fvscode-mo1c2t3n-ofh8\u002F.agents\u002Fskills\u002Fmicrosoft-foundry\u002Fmodels\u002Fdeploy-model\u002Fpreset\u002FSKILL.md",[17],{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000011","运维与部署","SCENARIO","使用场景",[5,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41],"deployments","first","multi","customize","check","across","capacity","version","use","high availability","custom","azure","selection","alternatives","deployment","for","availability","quick","do","2026-11-10 10:12:30",false,"---\nname: preset\ndescription: \"Intelligently deploys Azure OpenAI models to optimal regions by analyzing capacity across all available regions. Automatically checks current region first and shows alternatives if needed. USE FOR: quick deployment, optimal region, best region, automatic region selection, fast setup, multi-region capacity check, high availability deployment, deploy to best location. DO NOT USE FOR: custom SKU selection (use customize), specific version selection (use customize), custom capacity configuration (use customize), PTU deployments (use customize).\"\nlicense: MIT\nmetadata:\n  author: Microsoft\n  version: \"1.0.1\"\n---\n\n# Deploy Model to Optimal Region\n\nAutomates intelligent Azure OpenAI model deployment by checking capacity across regions and deploying to the best available option.\n\n## What This Skill Does\n\n1. Verifies Azure authentication and project scope\n2. Checks capacity in current project's region\n3. If no capacity: analyzes all regions and shows available alternatives\n4. Filters projects by selected region\n5. Supports creating new projects if needed\n6. Deploys model with GlobalStandard SKU\n7. Monitors deployment progress\n\n## Prerequisites\n\n- Azure CLI installed and configured\n- Active Azure subscription with Cognitive Services read\u002Fcreate permissions\n- Azure AI Foundry project resource ID (`PROJECT_RESOURCE_ID` env var or provided interactively)\n  - Format: `\u002Fsubscriptions\u002F{sub-id}\u002FresourceGroups\u002F{rg}\u002Fproviders\u002FMicrosoft.CognitiveServices\u002Faccounts\u002F{account}\u002Fprojects\u002F{project}`\n  - Found in: Azure AI Foundry portal → Project → Overview → Resource ID\n\n## Quick Workflow\n\n### Fast Path (Current Region Has Capacity)\n```\n1. Check authentication → 2. Get project → 3. Check current region capacity\n→ 4. Deploy immediately\n```\n\n### Alternative Region Path (No Capacity)\n```\n1. Check authentication → 2. Get project → 3. Check current region (no capacity)\n→ 4. Query all regions → 5. Show alternatives → 6. Select region + project\n→ 7. Deploy\n```\n\n---\n\n## Deployment Phases\n\n| Phase | Action | Key Commands |\n|-------|--------|-------------|\n| 1. Verify Auth | Check Azure CLI login and subscription | `az account show`, `az login` |\n| 2. Get Project | Parse `PROJECT_RESOURCE_ID` ARM ID, verify exists | `az cognitiveservices account show` |\n| 3. Get Model | List available models, user selects model + version | `az cognitiveservices account list-models` |\n| 4. Check Current Region | Query capacity using GlobalStandard SKU | `az rest --method GET ...\u002FmodelCapacities` |\n| 5. Multi-Region Query | If no local capacity, query all regions | Same capacity API without location filter |\n| 6. Select Region + Project | User picks region; find or create project | `az cognitiveservices account list`, `az cognitiveservices account create` |\n| 7. Deploy | Generate unique name, calculate capacity (50% available, min 50 TPM), create deployment | `az cognitiveservices account deployment create` |\n\nFor detailed step-by-step instructions, see [workflow reference](references\u002Fworkflow.md).\n\n---\n\n## Error Handling\n\n| Error | Symptom | Resolution |\n|-------|---------|------------|\n| Auth failure | `az account show` returns error | Run `az login` then `az account set --subscription \u003Cid>` |\n| No quota | All regions show 0 capacity | Defer to the [quota skill](..\u002F..\u002F..\u002Fquota\u002Fquota.md) for increase requests and troubleshooting; check existing deployments; try alternative models |\n| Model not found | Empty capacity list | Verify model name with `az cognitiveservices account list-models`; check case sensitivity |\n| Name conflict | \"deployment already exists\" | Append suffix to deployment name (handled automatically by `generate_deployment_name` script) |\n| Region unavailable | Region doesn't support model | Select a different region from the available list |\n| Permission denied | \"Forbidden\" or \"Unauthorized\" | Verify Cognitive Services Contributor role: `az role assignment list --assignee \u003Cuser>` |\n\n---\n\n## Advanced Usage\n\n```bash\n# Custom capacity\naz cognitiveservices account deployment create ... --sku-capacity \u003Cvalue>\n\n# Check deployment status\naz cognitiveservices account deployment show --name \u003Cacct> --resource-group \u003Crg> --deployment-name \u003Cname> --query \"{Status:properties.provisioningState}\"\n\n# Delete deployment\naz cognitiveservices account deployment delete --name \u003Cacct> --resource-group \u003Crg> --deployment-name \u003Cname>\n```\n\n## Notes\n\n- **SKU:** GlobalStandard only — **API Version:** 2024-10-01 (GA stable)\n\n---\n\n## Related Skills\n\n- **microsoft-foundry** - Parent skill for Azure AI Foundry operations\n- **[quota](..\u002F..\u002F..\u002Fquota\u002Fquota.md)** — For quota viewing, increase requests, and troubleshooting quota errors, defer to this skill\n- **azure-quick-review** - Review Azure resources for compliance\n- **azure-cost-estimation** - Estimate costs for Azure deployments\n- **azure-validate** - Validate Azure infrastructure before deployment\n","# Deploy Model to Optimal Region\n\nAutomates intelligent Azure OpenAI model deployment by checking capacity across regions and deploying to the best available option.\n\n## What This Skill Does\n\n1. Verifies Azure authentication and project scope\n2. Checks capacity in current project's region\n3. If no capacity: analyzes all regions and shows available alternatives\n4. Filters projects by selected region\n5. Supports creating new projects if needed\n6. Deploys model with GlobalStandard SKU\n7. Monitors deployment progress\n\n## Prerequisites\n\n- Azure CLI installed and configured\n- Active Azure subscription with Cognitive Services read\u002Fcreate permissions\n- Azure AI Foundry project resource ID (`PROJECT_RESOURCE_ID` env var or provided interactively)\n  - Format: `\u002Fsubscriptions\u002F{sub-id}\u002FresourceGroups\u002F{rg}\u002Fproviders\u002FMicrosoft.CognitiveServices\u002Faccounts\u002F{account}\u002Fprojects\u002F{project}`\n  - Found in: Azure AI Foundry portal → Project → Overview → Resource ID\n\n## Quick Workflow\n\n### Fast Path (Current Region Has Capacity)\n```\n1. Check authentication → 2. Get project → 3. Check current region capacity\n→ 4. Deploy immediately\n```\n\n### Alternative Region Path (No Capacity)\n```\n1. Check authentication → 2. Get project → 3. Check current region (no capacity)\n→ 4. Query all regions → 5. Show alternatives → 6. Select region + project\n→ 7. Deploy\n```\n\n---\n\n## Deployment Phases\n\n| Phase | Action | Key Commands |\n|-------|--------|-------------|\n| 1. Verify Auth | Check Azure CLI login and subscription | `az account show`, `az login` |\n| 2. Get Project | Parse `PROJECT_RESOURCE_ID` ARM ID, verify exists | `az cognitiveservices account show` |\n| 3. Get Model | List available models, user selects model + version | `az cognitiveservices account list-models` |\n| 4. Check Current Region | Query capacity using GlobalStandard SKU | `az rest --method GET ...\u002FmodelCapacities` |\n| 5. Multi-Region Query | If no local capacity, query all regions | Same capacity API without location filter |\n| 6. Select Region + Project | User picks region; find or create project | `az cognitiveservices account list`, `az cognitiveservices account create` |\n| 7. Deploy | Generate unique name, calculate capacity (50% available, min 50 TPM), create deployment | `az cognitiveservices account deployment create` |\n\nFor detailed step-by-step instructions, see [workflow reference](references\u002Fworkflow.md).\n\n---\n\n## Error Handling\n\n| Error | Symptom | Resolution |\n|-------|---------|------------|\n| Auth failure | `az account show` returns error | Run `az login` then `az account set --subscription \u003Cid>` |\n| No quota | All regions show 0 capacity | Defer to the [quota skill](..\u002F..\u002F..\u002Fquota\u002Fquota.md) for increase requests and troubleshooting; check existing deployments; try alternative models |\n| Model not found | Empty capacity list | Verify model name with `az cognitiveservices account list-models`; check case sensitivity |\n| Name conflict | \"deployment already exists\" | Append suffix to deployment name (handled automatically by `generate_deployment_name` script) |\n| Region unavailable | Region doesn't support model | Select a different region from the available list |\n| Permission denied | \"Forbidden\" or \"Unauthorized\" | Verify Cognitive Services Contributor role: `az role assignment list --assignee \u003Cuser>` |\n\n---\n\n## Advanced Usage\n\n```bash\n# Custom capacity\naz cognitiveservices account deployment create ... --sku-capacity \u003Cvalue>\n\n# Check deployment status\naz cognitiveservices account deployment show --name \u003Cacct> --resource-group \u003Crg> --deployment-name \u003Cname> --query \"{Status:properties.provisioningState}\"\n\n# Delete deployment\naz cognitiveservices account deployment delete --name \u003Cacct> --resource-group \u003Crg> --deployment-name \u003Cname>\n```\n\n## Notes\n\n- **SKU:** GlobalStandard only — **API Version:** 2024-10-01 (GA stable)\n\n---\n\n## Related Skills\n\n- **microsoft-foundry** - Parent skill for Azure AI Foundry operations\n- **[quota](..\u002F..\u002F..\u002Fquota\u002Fquota.md)** — For quota viewing, increase requests, and troubleshooting quota errors, defer to this skill\n- **azure-quick-review** - Review Azure resources for compliance\n- **azure-cost-estimation** - Estimate costs for Azure deployments\n- **azure-validate** - Validate Azure infrastructure before deployment\n",{"name":5,"license":14,"metadata":47,"description":7},{"author":48,"version":49},"Microsoft","1.0.1","copilot\u002Fvscode-mo1c2t3n-ofh8","d3a7686657d083408f0da2bebd93eb2397972666",".agents\u002Fskills\u002Fmicrosoft-foundry\u002Fmodels\u002Fdeploy-model\u002Fpreset","https:\u002F\u002Fgithub.com\u002Fengvalentineamba77-hue\u002FMY-PLAN-001","https:\u002F\u002Fgithub.com\u002Fengvalentineamba77-hue","2026-04-21 00:41:26",{"source":8,"skillName":5,"commands":57,"prompt":67,"zipAvailable":68},[58,61,64],{"tool":59,"command":60},"npx","npx skills add engvalentineamba77-hue\u002FMY-PLAN-001 --skill preset",{"tool":62,"command":63},"bunx","bunx skills add engvalentineamba77-hue\u002FMY-PLAN-001 --skill preset",{"tool":65,"command":66},"pnpm","pnpm dlx skills add engvalentineamba77-hue\u002FMY-PLAN-001 --skill preset","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fengvalentineamba77-hue\u002FMY-PLAN-001\u002Fblob\u002Fcopilot\u002Fvscode-mo1c2t3n-ofh8\u002F.agents\u002Fskills\u002Fmicrosoft-foundry\u002Fmodels\u002Fdeploy-model\u002Fpreset\u002FSKILL.md",true,[70,76,80],{"path":71,"resourceType":72,"resourceTypeDesc":73,"sizeBytes":74,"sourceHtmlUrl":75},"EXAMPLES.md","REFERENCE","参考文档",2982,"https:\u002F\u002Fgithub.com\u002Fengvalentineamba77-hue\u002FMY-PLAN-001\u002Fblob\u002Fcopilot\u002Fvscode-mo1c2t3n-ofh8\u002F.agents\u002Fskills\u002Fmicrosoft-foundry\u002Fmodels\u002Fdeploy-model\u002Fpreset\u002FEXAMPLES.md",{"path":77,"resourceType":72,"resourceTypeDesc":73,"sizeBytes":78,"sourceHtmlUrl":79},"references\u002Fpreset-workflow.md",22472,"https:\u002F\u002Fgithub.com\u002Fengvalentineamba77-hue\u002FMY-PLAN-001\u002Fblob\u002Fcopilot\u002Fvscode-mo1c2t3n-ofh8\u002F.agents\u002Fskills\u002Fmicrosoft-foundry\u002Fmodels\u002Fdeploy-model\u002Fpreset\u002Freferences\u002Fpreset-workflow.md",{"path":81,"resourceType":72,"resourceTypeDesc":73,"sizeBytes":82,"sourceHtmlUrl":83},"references\u002Fworkflow.md",5763,"https:\u002F\u002Fgithub.com\u002Fengvalentineamba77-hue\u002FMY-PLAN-001\u002Fblob\u002Fcopilot\u002Fvscode-mo1c2t3n-ofh8\u002F.agents\u002Fskills\u002Fmicrosoft-foundry\u002Fmodels\u002Fdeploy-model\u002Fpreset\u002Freferences\u002Fworkflow.md",[85,105,122,141,168,190],{"skillNo":86,"name":26,"nameZh":6,"description":87,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":88,"categories":89,"keywords":90,"publishedAt":42},"01M71404RABMJRT9NESTZ1JHEQ","Interactive guided deployment flow for Azure OpenAI models with full customization control. Step-by-step selection of model version, SKU (GlobalStandard\u002FStandard\u002FProvisionedManaged), capacity, RAI policy (content filter), and advanced options (dynamic quota, priority processing, spillover). USE FOR: custom deployment, customize model deployment, choose version, select SKU, set capacity, configure content filter, RAI policy, deployment options, detailed deployment, advanced deployment, PTU deployment, provisioned throughput. DO NOT USE FOR: quick deployment to optimal region (use preset).","https:\u002F\u002Fgithub.com\u002Fengvalentineamba77-hue\u002FMY-PLAN-001\u002Fblob\u002Fcopilot\u002Fvscode-mo1c2t3n-ofh8\u002F.agents\u002Fskills\u002Fmicrosoft-foundry\u002Fmodels\u002Fdeploy-model\u002Fcustomize\u002FSKILL.md",[],[26,91,40,92,93,94,95,96,35,97,98,99,100,101,102,103,104,41,38,37],"SET","processing","advanced","model","select","choose","configure","filter","azure openai","options","flow","openai","throughput","full",{"skillNo":106,"name":29,"nameZh":6,"description":107,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":108,"categories":109,"keywords":110,"publishedAt":42},"01M71401M2YT05GNRXCH3485KX","Discovers available Azure OpenAI model capacity across regions and projects. Analyzes quota limits, compares availability, and recommends optimal deployment locations based on capacity requirements. USE FOR: find capacity, check quota, where can I deploy, capacity discovery, best region for capacity, multi-project capacity search, quota analysis, model availability, region comparison, check TPM availability. DO NOT USE FOR: actual deployment (hand off to preset or customize after discovery), quota increase requests (direct user to Azure Portal), listing existing deployments.","https:\u002F\u002Fgithub.com\u002Fengvalentineamba77-hue\u002FMY-PLAN-001\u002Fblob\u002Fcopilot\u002Fvscode-mo1c2t3n-ofh8\u002F.agents\u002Fskills\u002Fmicrosoft-foundry\u002Fmodels\u002Fdeploy-model\u002Fcapacity\u002FSKILL.md",[],[29,111,94,112,113,114,115,116,28,99,117,118,102,119,120,41,39,38,121,37],"projects","project","search","analysis","listing","hand","limits","azure portal","direct","TPM","discovery",{"skillNo":123,"name":124,"nameZh":6,"description":125,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":126,"categories":127,"keywords":132,"publishedAt":42},"01M713ZYMPM1E6HYZBNMKAMC6G","deploy-model","Unified Azure OpenAI model deployment skill with intelligent intent-based routing. Handles quick preset deployments, fully customized deployments (version\u002FSKU\u002Fcapacity\u002FRAI policy), and capacity discovery across regions and projects. USE FOR: deploy model, deploy gpt, create deployment, model deployment, deploy openai model, set up model, provision model, find capacity, check model availability, where can I deploy, best region for model, capacity analysis. DO NOT USE FOR: listing existing deployments (use foundry_models_deployments_list MCP tool), deleting deployments, agent creation (use agent\u002Fcreate), project creation (use project\u002Fcreate).","https:\u002F\u002Fgithub.com\u002Fengvalentineamba77-hue\u002FMY-PLAN-001\u002Fblob\u002Fcopilot\u002Fvscode-mo1c2t3n-ofh8\u002F.agents\u002Fskills\u002Fmicrosoft-foundry\u002Fmodels\u002Fdeploy-model\u002FSKILL.md",[128,129],{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},{"categoryNo":130,"categoryName":131,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000023","Skill与智能体开发",[94,133,134,91,111,40,135,112,136,137,114,115,28,138,99,139,140,102,41,39],"deploy model","deploy","creation","up","MCP","create","intent","list",{"skillNo":142,"name":143,"nameZh":6,"description":144,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":145,"categories":146,"keywords":149,"publishedAt":42},"01M713ZSZ9ANMNRAJZE95C78ZM","microsoft-foundry","Deploy, evaluate, and manage Foundry agents end-to-end: Docker build, ACR push, hosted\u002Fprompt agent create, container start, batch eval, prompt optimization, prompt optimizer workflows, agent.yaml, dataset curation from traces. USE FOR: deploy agent to Foundry, hosted agent, create agent, invoke agent, evaluate agent, run batch eval, optimize prompt, improve prompt, prompt optimization, prompt optimizer, improve agent instructions, optimize agent instructions, optimize system prompt, deploy model, Foundry project, RBAC, role assignment, permissions, quota, capacity, region, troubleshoot agent, deployment failure, create dataset from traces, dataset versioning, eval trending, create AI Services, Cognitive Services, create Foundry resource, provision resource, knowledge index, agent monitoring, customize deployment, onboard, availability. DO NOT USE FOR: Azure Functions, App Service, general Azure deploy (use azure-deploy), general Azure prep (use azure-prepare).","https:\u002F\u002Fgithub.com\u002Fengvalentineamba77-hue\u002FMY-PLAN-001\u002Fblob\u002Fcopilot\u002Fvscode-mo1c2t3n-ofh8\u002F.agents\u002Fskills\u002Fmicrosoft-foundry\u002FSKILL.md",[147,148],{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},{"categoryNo":130,"categoryName":131,"taxonomyType":20,"taxonomyTypeDesc":21},[150,151,152,153,154,112,155,156,157,158,159,160,161,162,163,138,164,165,166,167],"microsoft","foundry","microsoft foundry","system prompt","app","trending","eval","improve","knowledge","invoke","workflows","monitoring","batch","permissions","versioning","run","rbac","start",{"skillNo":169,"name":170,"nameZh":6,"description":171,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":172,"categories":173,"keywords":177,"publishedAt":42},"01M713Z4ESY93XBKA9TSGB54PJ","entra-app-registration","Guides Microsoft Entra ID app registration, OAuth 2.0 authentication, and MSAL integration. USE FOR: create app registration, register Azure AD app, configure OAuth, set up authentication, add API permissions, generate service principal, MSAL example, console app auth, Entra ID setup, Azure AD authentication. DO NOT USE FOR: Azure RBAC or role assignments (use azure-rbac), Key Vault secrets (use azure-keyvault-expiration-audit), general Azure resource security guidance.","https:\u002F\u002Fgithub.com\u002Fengvalentineamba77-hue\u002FMY-PLAN-001\u002Fblob\u002Fcopilot\u002Fvscode-mo1c2t3n-ofh8\u002F.agents\u002Fskills\u002Fentra-app-registration\u002FSKILL.md",[174],{"categoryNo":175,"categoryName":176,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000010","后端与接口",[154,178,179,91,180,181,136,182,97,183,184,163,138,185,186,166,187,188,189,41],"registration","entra app registration","auth","authentication","entra id","api","guides","generate","audit","secrets","security","add",{"skillNo":191,"name":192,"nameZh":6,"description":193,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":194,"categories":195,"keywords":197,"publishedAt":42},"01M713YW9CF82WS4BDB0WAVHW2","azure-validate","Pre-deployment validation for Azure readiness. Run deep checks on configuration, infrastructure (Bicep or Terraform), RBAC role assignments, managed identity permissions, and prerequisites before deploying. WHEN: validate my app, check deployment readiness, run preflight checks, verify configuration, check if ready to deploy, validate azure.yaml, validate Bicep, test before deploying, troubleshoot deployment errors, validate Azure Functions, validate function app, validate serverless deployment, verify RBAC roles, check role assignments, review managed identity permissions, what-if analysis, validate Container Apps deployment.","https:\u002F\u002Fgithub.com\u002Fengvalentineamba77-hue\u002FMY-PLAN-001\u002Fblob\u002Fcopilot\u002Fvscode-mo1c2t3n-ofh8\u002F.agents\u002Fskills\u002Fazure-validate\u002FSKILL.md",[196],{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},[198,34,199,154,200,201,202,38,37,203,204,205,206,207,114,208,27,209,210,163],"azure validate","validate","deep","ready","container apps deployment","managed","errors","container","apps","when","review","functions","roles"]