[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M71404RABMJRT9NESTZ1JHEQ":3,"skill-same:01M71404RABMJRT9NESTZ1JHEQ":79},{"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":17,"publishedAt":37,"linkOnly":38,"markdownContent":39,"markdownBody":40,"frontMatter":41,"refName":45,"commitSha":46,"skillDirectory":47,"forksCount":13,"repositoryHtmlUrl":48,"repositoryHomepageUrl":6,"ownerHtmlUrl":49,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":50,"install":51,"resources":64},"01M71404RABMJRT9NESTZ1JHEQ","customize",null,"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).","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\u002Fcustomize\u002FSKILL.md",[],[5,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36],"filter","deployment","for","do","full","throughput","openai","flow","options","azure openai","configure","selection","choose","select","model","advanced","processing","quick","SET","2026-11-10 10:12:30",false,"---\nname: customize\ndescription: \"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).\"\nlicense: MIT\nmetadata:\n  author: Microsoft\n  version: \"1.0.1\"\n---\n\n# Customize Model Deployment\n\nInteractive guided workflow for deploying Azure OpenAI models with full customization control over version, SKU, capacity, content filtering, and advanced options.\n\n## Quick Reference\n\n| Property | Description |\n|----------|-------------|\n| **Flow** | Interactive step-by-step guided deployment |\n| **Customization** | Version, SKU, Capacity, RAI Policy, Advanced Options |\n| **SKU Support** | GlobalStandard, Standard, ProvisionedManaged, DataZoneStandard |\n| **Best For** | Precise control over deployment configuration |\n| **Authentication** | Azure CLI (`az login`) |\n| **Tools** | Azure CLI, MCP tools (optional) |\n\n## When to Use This Skill\n\nUse this skill when you need **precise control** over deployment configuration:\n\n- ✅ **Choose specific model version** (not just latest)\n- ✅ **Select deployment SKU** (GlobalStandard vs Standard vs PTU)\n- ✅ **Set exact capacity** within available range\n- ✅ **Configure content filtering** (RAI policy selection)\n- ✅ **Enable advanced features** (dynamic quota, priority processing, spillover)\n- ✅ **PTU deployments** (Provisioned Throughput Units)\n\n**Alternative:** Use `preset` for quick deployment to the best available region with automatic configuration.\n\n### Comparison: customize vs preset\n\n| Feature | customize | preset |\n|---------|---------------------|----------------------------|\n| **Focus** | Full customization control | Optimal region selection |\n| **Version Selection** | User chooses from available | Uses latest automatically |\n| **SKU Selection** | User chooses (GlobalStandard\u002FStandard\u002FPTU) | GlobalStandard only |\n| **Capacity** | User specifies exact value | Auto-calculated (50% of available) |\n| **RAI Policy** | User selects from options | Default policy only |\n| **Region** | Current region first, falls back to all regions if no capacity | Checks capacity across all regions upfront |\n| **Use Case** | Precise deployment requirements | Quick deployment to best region |\n\n## Prerequisites\n\n- Azure subscription with Cognitive Services Contributor or Owner role\n- Azure AI Foundry project resource ID (format: `\u002Fsubscriptions\u002F{sub}\u002FresourceGroups\u002F{rg}\u002Fproviders\u002FMicrosoft.CognitiveServices\u002Faccounts\u002F{account}\u002Fprojects\u002F{project}`)\n- Azure CLI installed and authenticated (`az login`)\n- Optional: Set `PROJECT_RESOURCE_ID` environment variable\n\n## Workflow Overview\n\n### Complete Flow (14 Phases)\n\n```\n1. Verify Authentication\n2. Get Project Resource ID\n3. Verify Project Exists\n4. Get Model Name (if not provided)\n5. List Model Versions → User Selects\n6. List SKUs for Version → User Selects\n7. Get Capacity Range → User Configures\n   7b. If no capacity: Cross-Region Fallback → Query all regions → User selects region\u002Fproject\n8. List RAI Policies → User Selects\n9. Configure Advanced Options (if applicable)\n10. Configure Version Upgrade Policy\n11. Generate Deployment Name\n12. Review Configuration\n13. Execute Deployment & Monitor\n```\n\n### Fast Path (Defaults)\n\nIf user accepts all defaults (latest version, GlobalStandard SKU, recommended capacity, default RAI policy, standard upgrade policy), deployment completes in ~5 interactions.\n\n---\n\n## Phase Summaries\n\n> ⚠️ **MUST READ:** Before executing any phase, load [references\u002Fcustomize-workflow.md](references\u002Fcustomize-workflow.md) for the full scripts and implementation details. The summaries below describe *what* each phase does — the reference file contains the *how* (CLI commands, quota patterns, capacity formulas, cross-region fallback logic).\n\n| Phase | Action | Key Details |\n|-------|--------|-------------|\n| **1. Verify Auth** | Check `az account show`; prompt `az login` if needed | Verify correct subscription is active |\n| **2. Get Project ID** | Read `PROJECT_RESOURCE_ID` env var or prompt user | ARM resource ID format required |\n| **3. Verify Project** | Parse resource ID, call `az cognitiveservices account show` | Extracts subscription, RG, account, project, region |\n| **4. Get Model** | List models via `az cognitiveservices account list-models` | User selects from available or enters custom name |\n| **5. Select Version** | Query versions for chosen model | Recommend latest; user picks from list |\n| **6. Select SKU** | Query model catalog + subscription quota, show only deployable SKUs | ⚠️ Never hardcode SKU lists — always query live data |\n| **7. Configure Capacity** | Query capacity API, validate min\u002Fmax\u002Fstep, user enters value | Cross-region fallback if no capacity in current region |\n| **8. Select RAI Policy** | Present content filter options | Default: `Microsoft.DefaultV2` |\n| **9. Advanced Options** | Dynamic quota (GlobalStandard), priority processing (PTU), spillover | SKU-dependent availability |\n| **10. Upgrade Policy** | Choose: OnceNewDefaultVersionAvailable \u002F OnceCurrentVersionExpired \u002F NoAutoUpgrade | Default: auto-upgrade on new default |\n| **11. Deployment Name** | Auto-generate unique name, allow custom override | Validates format: `^[\\w.-]{2,64}$` |\n| **12. Review** | Display full config summary, confirm before proceeding | User approves or cancels |\n| **13. Deploy & Monitor** | `az cognitiveservices account deployment create`, poll status | Timeout after 5 min; show endpoint + portal link |\n\n\n---\n\n## Error Handling\n\n### Common Issues and Resolutions\n\n| Error | Cause | Resolution |\n|-------|-------|------------|\n| **Model not found** | Invalid model name | List available models with `az cognitiveservices account list-models` |\n| **Version not available** | Version not supported for SKU | Select different version or SKU |\n| **Insufficient quota** | Capacity > available quota | Skill auto-searches all regions; fails only if no region has quota |\n| **SKU not supported** | SKU not available in region | Cross-region fallback searches other regions automatically |\n| **Capacity out of range** | Invalid capacity value | **PREVENTED**: Skill validates min\u002Fmax\u002Fstep at input (Phase 7) |\n| **Deployment name exists** | Name conflict | Auto-incremented name generation |\n| **Authentication failed** | Not logged in | Run `az login` |\n| **Permission denied** | Insufficient permissions | Assign Cognitive Services Contributor role |\n| **Capacity query fails** | API\u002Fpermissions\u002Fnetwork error | **DEPLOYMENT BLOCKED**: Will not proceed without valid quota data |\n\n### Troubleshooting Commands\n\n```bash\n# Check deployment status\naz cognitiveservices account deployment show --name \u003Caccount> --resource-group \u003Crg> --deployment-name \u003Cname>\n\n# List all deployments\naz cognitiveservices account deployment list --name \u003Caccount> --resource-group \u003Crg> -o table\n\n# Check quota usage\naz cognitiveservices usage list --name \u003Caccount> --resource-group \u003Crg>\n\n# Delete failed deployment\naz cognitiveservices account deployment delete --name \u003Caccount> --resource-group \u003Crg> --deployment-name \u003Cname>\n```\n\n---\n\n## Selection Guides & Advanced Topics\n\n> For SKU comparison tables, PTU sizing formulas, and advanced option details, load [references\u002Fcustomize-guides.md](references\u002Fcustomize-guides.md).\n\n**SKU selection:** GlobalStandard (production\u002FHA) → Standard (dev\u002Ftest) → ProvisionedManaged (high-volume\u002Fguaranteed throughput) → DataZoneStandard (data residency).\n\n**Capacity:** TPM-based SKUs range from 1K (dev) to 100K+ (large production). PTU-based use formula: `(Input TPM × 0.001) + (Output TPM × 0.002) + (Requests\u002Fmin × 0.1)`.\n\n**Advanced options:** Dynamic quota (GlobalStandard only), priority processing (PTU only, extra cost), spillover (overflow to backup deployment).\n\n---\n\n## Related Skills\n\n- **preset** - Quick deployment to best region with automatic configuration\n- **microsoft-foundry** - Parent skill for all Azure AI Foundry operations\n- **[quota](..\u002F..\u002F..\u002Fquota\u002Fquota.md)** — For quota viewing, increase requests, and troubleshooting quota errors, defer to this skill instead of duplicating guidance\n- **rbac** - Manage permissions and access control\n\n---\n\n## Notes\n\n- Set `PROJECT_RESOURCE_ID` environment variable to skip prompt\n- Not all SKUs available in all regions; capacity varies by subscription\u002Fregion\u002Fmodel\n- Custom RAI policies can be configured in Azure Portal\n- Automatic version upgrades occur during maintenance windows\n- Use Azure Monitor and Application Insights for production deployments","# Customize Model Deployment\n\nInteractive guided workflow for deploying Azure OpenAI models with full customization control over version, SKU, capacity, content filtering, and advanced options.\n\n## Quick Reference\n\n| Property | Description |\n|----------|-------------|\n| **Flow** | Interactive step-by-step guided deployment |\n| **Customization** | Version, SKU, Capacity, RAI Policy, Advanced Options |\n| **SKU Support** | GlobalStandard, Standard, ProvisionedManaged, DataZoneStandard |\n| **Best For** | Precise control over deployment configuration |\n| **Authentication** | Azure CLI (`az login`) |\n| **Tools** | Azure CLI, MCP tools (optional) |\n\n## When to Use This Skill\n\nUse this skill when you need **precise control** over deployment configuration:\n\n- ✅ **Choose specific model version** (not just latest)\n- ✅ **Select deployment SKU** (GlobalStandard vs Standard vs PTU)\n- ✅ **Set exact capacity** within available range\n- ✅ **Configure content filtering** (RAI policy selection)\n- ✅ **Enable advanced features** (dynamic quota, priority processing, spillover)\n- ✅ **PTU deployments** (Provisioned Throughput Units)\n\n**Alternative:** Use `preset` for quick deployment to the best available region with automatic configuration.\n\n### Comparison: customize vs preset\n\n| Feature | customize | preset |\n|---------|---------------------|----------------------------|\n| **Focus** | Full customization control | Optimal region selection |\n| **Version Selection** | User chooses from available | Uses latest automatically |\n| **SKU Selection** | User chooses (GlobalStandard\u002FStandard\u002FPTU) | GlobalStandard only |\n| **Capacity** | User specifies exact value | Auto-calculated (50% of available) |\n| **RAI Policy** | User selects from options | Default policy only |\n| **Region** | Current region first, falls back to all regions if no capacity | Checks capacity across all regions upfront |\n| **Use Case** | Precise deployment requirements | Quick deployment to best region |\n\n## Prerequisites\n\n- Azure subscription with Cognitive Services Contributor or Owner role\n- Azure AI Foundry project resource ID (format: `\u002Fsubscriptions\u002F{sub}\u002FresourceGroups\u002F{rg}\u002Fproviders\u002FMicrosoft.CognitiveServices\u002Faccounts\u002F{account}\u002Fprojects\u002F{project}`)\n- Azure CLI installed and authenticated (`az login`)\n- Optional: Set `PROJECT_RESOURCE_ID` environment variable\n\n## Workflow Overview\n\n### Complete Flow (14 Phases)\n\n```\n1. Verify Authentication\n2. Get Project Resource ID\n3. Verify Project Exists\n4. Get Model Name (if not provided)\n5. List Model Versions → User Selects\n6. List SKUs for Version → User Selects\n7. Get Capacity Range → User Configures\n   7b. If no capacity: Cross-Region Fallback → Query all regions → User selects region\u002Fproject\n8. List RAI Policies → User Selects\n9. Configure Advanced Options (if applicable)\n10. Configure Version Upgrade Policy\n11. Generate Deployment Name\n12. Review Configuration\n13. Execute Deployment & Monitor\n```\n\n### Fast Path (Defaults)\n\nIf user accepts all defaults (latest version, GlobalStandard SKU, recommended capacity, default RAI policy, standard upgrade policy), deployment completes in ~5 interactions.\n\n---\n\n## Phase Summaries\n\n> ⚠️ **MUST READ:** Before executing any phase, load [references\u002Fcustomize-workflow.md](references\u002Fcustomize-workflow.md) for the full scripts and implementation details. The summaries below describe *what* each phase does — the reference file contains the *how* (CLI commands, quota patterns, capacity formulas, cross-region fallback logic).\n\n| Phase | Action | Key Details |\n|-------|--------|-------------|\n| **1. Verify Auth** | Check `az account show`; prompt `az login` if needed | Verify correct subscription is active |\n| **2. Get Project ID** | Read `PROJECT_RESOURCE_ID` env var or prompt user | ARM resource ID format required |\n| **3. Verify Project** | Parse resource ID, call `az cognitiveservices account show` | Extracts subscription, RG, account, project, region |\n| **4. Get Model** | List models via `az cognitiveservices account list-models` | User selects from available or enters custom name |\n| **5. Select Version** | Query versions for chosen model | Recommend latest; user picks from list |\n| **6. Select SKU** | Query model catalog + subscription quota, show only deployable SKUs | ⚠️ Never hardcode SKU lists — always query live data |\n| **7. Configure Capacity** | Query capacity API, validate min\u002Fmax\u002Fstep, user enters value | Cross-region fallback if no capacity in current region |\n| **8. Select RAI Policy** | Present content filter options | Default: `Microsoft.DefaultV2` |\n| **9. Advanced Options** | Dynamic quota (GlobalStandard), priority processing (PTU), spillover | SKU-dependent availability |\n| **10. Upgrade Policy** | Choose: OnceNewDefaultVersionAvailable \u002F OnceCurrentVersionExpired \u002F NoAutoUpgrade | Default: auto-upgrade on new default |\n| **11. Deployment Name** | Auto-generate unique name, allow custom override | Validates format: `^[\\w.-]{2,64}$` |\n| **12. Review** | Display full config summary, confirm before proceeding | User approves or cancels |\n| **13. Deploy & Monitor** | `az cognitiveservices account deployment create`, poll status | Timeout after 5 min; show endpoint + portal link |\n\n\n---\n\n## Error Handling\n\n### Common Issues and Resolutions\n\n| Error | Cause | Resolution |\n|-------|-------|------------|\n| **Model not found** | Invalid model name | List available models with `az cognitiveservices account list-models` |\n| **Version not available** | Version not supported for SKU | Select different version or SKU |\n| **Insufficient quota** | Capacity > available quota | Skill auto-searches all regions; fails only if no region has quota |\n| **SKU not supported** | SKU not available in region | Cross-region fallback searches other regions automatically |\n| **Capacity out of range** | Invalid capacity value | **PREVENTED**: Skill validates min\u002Fmax\u002Fstep at input (Phase 7) |\n| **Deployment name exists** | Name conflict | Auto-incremented name generation |\n| **Authentication failed** | Not logged in | Run `az login` |\n| **Permission denied** | Insufficient permissions | Assign Cognitive Services Contributor role |\n| **Capacity query fails** | API\u002Fpermissions\u002Fnetwork error | **DEPLOYMENT BLOCKED**: Will not proceed without valid quota data |\n\n### Troubleshooting Commands\n\n```bash\n# Check deployment status\naz cognitiveservices account deployment show --name \u003Caccount> --resource-group \u003Crg> --deployment-name \u003Cname>\n\n# List all deployments\naz cognitiveservices account deployment list --name \u003Caccount> --resource-group \u003Crg> -o table\n\n# Check quota usage\naz cognitiveservices usage list --name \u003Caccount> --resource-group \u003Crg>\n\n# Delete failed deployment\naz cognitiveservices account deployment delete --name \u003Caccount> --resource-group \u003Crg> --deployment-name \u003Cname>\n```\n\n---\n\n## Selection Guides & Advanced Topics\n\n> For SKU comparison tables, PTU sizing formulas, and advanced option details, load [references\u002Fcustomize-guides.md](references\u002Fcustomize-guides.md).\n\n**SKU selection:** GlobalStandard (production\u002FHA) → Standard (dev\u002Ftest) → ProvisionedManaged (high-volume\u002Fguaranteed throughput) → DataZoneStandard (data residency).\n\n**Capacity:** TPM-based SKUs range from 1K (dev) to 100K+ (large production). PTU-based use formula: `(Input TPM × 0.001) + (Output TPM × 0.002) + (Requests\u002Fmin × 0.1)`.\n\n**Advanced options:** Dynamic quota (GlobalStandard only), priority processing (PTU only, extra cost), spillover (overflow to backup deployment).\n\n---\n\n## Related Skills\n\n- **preset** - Quick deployment to best region with automatic configuration\n- **microsoft-foundry** - Parent skill for all Azure AI Foundry operations\n- **[quota](..\u002F..\u002F..\u002Fquota\u002Fquota.md)** — For quota viewing, increase requests, and troubleshooting quota errors, defer to this skill instead of duplicating guidance\n- **rbac** - Manage permissions and access control\n\n---\n\n## Notes\n\n- Set `PROJECT_RESOURCE_ID` environment variable to skip prompt\n- Not all SKUs available in all regions; capacity varies by subscription\u002Fregion\u002Fmodel\n- Custom RAI policies can be configured in Azure Portal\n- Automatic version upgrades occur during maintenance windows\n- Use Azure Monitor and Application Insights for production deployments",{"name":5,"license":14,"metadata":42,"description":7},{"author":43,"version":44},"Microsoft","1.0.1","copilot\u002Fvscode-mo1c2t3n-ofh8","d3a7686657d083408f0da2bebd93eb2397972666",".agents\u002Fskills\u002Fmicrosoft-foundry\u002Fmodels\u002Fdeploy-model\u002Fcustomize","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":52,"prompt":62,"zipAvailable":63},[53,56,59],{"tool":54,"command":55},"npx","npx skills add engvalentineamba77-hue\u002FMY-PLAN-001 --skill customize",{"tool":57,"command":58},"bunx","bunx skills add engvalentineamba77-hue\u002FMY-PLAN-001 --skill customize",{"tool":60,"command":61},"pnpm","pnpm dlx skills add engvalentineamba77-hue\u002FMY-PLAN-001 --skill customize","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\u002Fcustomize\u002FSKILL.md",true,[65,71,75],{"path":66,"resourceType":67,"resourceTypeDesc":68,"sizeBytes":69,"sourceHtmlUrl":70},"EXAMPLES.md","REFERENCE","参考文档",4402,"https:\u002F\u002Fgithub.com\u002Fengvalentineamba77-hue\u002FMY-PLAN-001\u002Fblob\u002Fcopilot\u002Fvscode-mo1c2t3n-ofh8\u002F.agents\u002Fskills\u002Fmicrosoft-foundry\u002Fmodels\u002Fdeploy-model\u002Fcustomize\u002FEXAMPLES.md",{"path":72,"resourceType":67,"resourceTypeDesc":68,"sizeBytes":73,"sourceHtmlUrl":74},"references\u002Fcustomize-guides.md",3487,"https:\u002F\u002Fgithub.com\u002Fengvalentineamba77-hue\u002FMY-PLAN-001\u002Fblob\u002Fcopilot\u002Fvscode-mo1c2t3n-ofh8\u002F.agents\u002Fskills\u002Fmicrosoft-foundry\u002Fmodels\u002Fdeploy-model\u002Fcustomize\u002Freferences\u002Fcustomize-guides.md",{"path":76,"resourceType":67,"resourceTypeDesc":68,"sizeBytes":77,"sourceHtmlUrl":78},"references\u002Fcustomize-workflow.md",13402,"https:\u002F\u002Fgithub.com\u002Fengvalentineamba77-hue\u002FMY-PLAN-001\u002Fblob\u002Fcopilot\u002Fvscode-mo1c2t3n-ofh8\u002F.agents\u002Fskills\u002Fmicrosoft-foundry\u002Fmodels\u002Fdeploy-model\u002Fcustomize\u002Freferences\u002Fcustomize-workflow.md",[80,105,122,141,168,190],{"skillNo":81,"name":82,"nameZh":6,"description":83,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":84,"categories":85,"keywords":91,"publishedAt":37},"01M71407SH2N0EQCKE3084K4CN","preset","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).","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",[86],{"categoryNo":87,"categoryName":88,"taxonomyType":89,"taxonomyTypeDesc":90},"01JBSEEDCAT000000000000011","运维与部署","SCENARIO","使用场景",[82,21,35,92,20,19,93,29,94,95,96,97,98,99,100,101,102,5,103,104],"availability","alternatives","azure","custom","deployments","high availability","use","version","capacity","across","check","multi","first",{"skillNo":106,"name":100,"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":37},"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",[],[100,111,32,112,113,114,115,116,101,27,117,118,24,119,120,21,92,20,121,19],"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":37},"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":87,"categoryName":88,"taxonomyType":89,"taxonomyTypeDesc":90},{"categoryNo":130,"categoryName":131,"taxonomyType":89,"taxonomyTypeDesc":90},"01JBSEEDCAT000000000000023","Skill与智能体开发",[32,133,134,36,111,35,135,112,136,137,114,115,101,138,27,139,140,24,21,92],"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":37},"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":87,"categoryName":88,"taxonomyType":89,"taxonomyTypeDesc":90},{"categoryNo":130,"categoryName":131,"taxonomyType":89,"taxonomyTypeDesc":90},[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":37},"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":89,"taxonomyTypeDesc":90},"01JBSEEDCAT000000000000010","后端与接口",[154,178,179,36,180,181,136,182,28,183,184,163,138,185,186,166,187,188,189,21],"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":37},"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":87,"categoryName":88,"taxonomyType":89,"taxonomyTypeDesc":90},[198,94,199,154,200,201,202,20,19,203,204,205,206,207,114,208,102,209,210,163],"azure validate","validate","deep","ready","container apps deployment","managed","errors","container","apps","when","review","functions","roles"]