[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M71B0KSPJRZM7NYBESCDNM51":3,"skill-same:01M71B0KSPJRZM7NYBESCDNM51":86},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":16,"categories":17,"keywords":23,"publishedAt":43,"linkOnly":44,"markdownContent":45,"markdownBody":46,"frontMatter":47,"refName":51,"commitSha":52,"skillDirectory":53,"forksCount":54,"repositoryHtmlUrl":55,"repositoryHomepageUrl":6,"ownerHtmlUrl":56,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":57,"install":58,"resources":71},"01M71B0KSPJRZM7NYBESCDNM51","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).","strmt7\u002Fai_skills_collection_benchmarked","strmt7","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F28989754?v=4","01M71929P914SWKQ7QJV24NBBY","Stratos","01M71929Q9VGKQ7PWYR95VSQQQ",1,"MIT","https:\u002F\u002Fgithub.com\u002Fstrmt7\u002Fai_skills_collection_benchmarked\u002Fblob\u002Fmain\u002Fincluded\u002Frepaired\u002Fskills\u002Fby-category\u002Fcloud-azure-microsoft-sdks\u002Fofficial-vendor-reference\u002Fpreset\u002FSKILL.md",[18],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000011","运维与部署","SCENARIO","使用场景",[5,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42],"selection","custom","alternatives","for","quick","availability","multi","high availability","across","do","capacity","deployments","version","use","check","first","deployment","azure","customize","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 (unavailable local link target: `..\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 (unavailable local link target: `..\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 (unavailable local link target: `..\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 (unavailable local link target: `..\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":15,"metadata":48,"description":7},{"author":49,"version":50},"Microsoft","1.0.1","main","5c95bcac4646c5aed06bd9aed5235cfc7985aafc","included\u002Frepaired\u002Fskills\u002Fby-category\u002Fcloud-azure-microsoft-sdks\u002Fofficial-vendor-reference\u002Fpreset",0,"https:\u002F\u002Fgithub.com\u002Fstrmt7\u002Fai_skills_collection_benchmarked","https:\u002F\u002Fgithub.com\u002Fstrmt7","2026-11-15 03:31:57",{"source":8,"skillName":5,"commands":59,"prompt":69,"zipAvailable":70},[60,63,66],{"tool":61,"command":62},"npx","npx skills add strmt7\u002Fai_skills_collection_benchmarked --skill preset",{"tool":64,"command":65},"bunx","bunx skills add strmt7\u002Fai_skills_collection_benchmarked --skill preset",{"tool":67,"command":68},"pnpm","pnpm dlx skills add strmt7\u002Fai_skills_collection_benchmarked --skill preset","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fstrmt7\u002Fai_skills_collection_benchmarked\u002Fblob\u002Fmain\u002Fincluded\u002Frepaired\u002Fskills\u002Fby-category\u002Fcloud-azure-microsoft-sdks\u002Fofficial-vendor-reference\u002Fpreset\u002FSKILL.md",true,[72,78,82],{"path":73,"resourceType":74,"resourceTypeDesc":75,"sizeBytes":76,"sourceHtmlUrl":77},"provenance\u002Foriginal.SKILL.md","REFERENCE","参考文档",4932,"https:\u002F\u002Fgithub.com\u002Fstrmt7\u002Fai_skills_collection_benchmarked\u002Fblob\u002Fmain\u002Fincluded\u002Frepaired\u002Fskills\u002Fby-category\u002Fcloud-azure-microsoft-sdks\u002Fofficial-vendor-reference\u002Fpreset\u002Fprovenance\u002Foriginal.SKILL.md",{"path":79,"resourceType":74,"resourceTypeDesc":75,"sizeBytes":80,"sourceHtmlUrl":81},"references\u002Fworkflow.md",5763,"https:\u002F\u002Fgithub.com\u002Fstrmt7\u002Fai_skills_collection_benchmarked\u002Fblob\u002Fmain\u002Fincluded\u002Frepaired\u002Fskills\u002Fby-category\u002Fcloud-azure-microsoft-sdks\u002Fofficial-vendor-reference\u002Fpreset\u002Freferences\u002Fworkflow.md",{"path":83,"resourceType":74,"resourceTypeDesc":75,"sizeBytes":84,"sourceHtmlUrl":85},"repair.json",1351,"https:\u002F\u002Fgithub.com\u002Fstrmt7\u002Fai_skills_collection_benchmarked\u002Fblob\u002Fmain\u002Fincluded\u002Frepaired\u002Fskills\u002Fby-category\u002Fcloud-azure-microsoft-sdks\u002Fofficial-vendor-reference\u002Fpreset\u002Frepair.json",[87,118,148,173,197,225],{"skillNo":88,"name":89,"nameZh":6,"description":90,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":91,"licenseFileUrl":92,"sourceHtmlUrl":93,"categories":94,"keywords":101,"publishedAt":43},"01M71D4H3T6M57DFKN8HENAWRV","webapp-testing","Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.","Apache-2.0","https:\u002F\u002Fgithub.com\u002Fstrmt7\u002Fai_skills_collection_benchmarked\u002Fblob\u002Fmain\u002Fincluded\u002Fskills\u002Fby-category\u002Ftesting-qa-benchmarking\u002Fofficial-reference\u002Fwebapp-testing\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002Fstrmt7\u002Fai_skills_collection_benchmarked\u002Fblob\u002Fmain\u002Fincluded\u002Fskills\u002Fby-category\u002Ftesting-qa-benchmarking\u002Fofficial-reference\u002Fwebapp-testing\u002FSKILL.md",[95,98],{"categoryNo":96,"categoryName":97,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000008","测试与质量",{"categoryNo":99,"categoryName":100,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000009","前端开发",[102,103,104,27,105,106,107,108,109,110,111,112,113,114,115,116,117],"webapp","testing","webapp testing","applications","local","frontend","debugging","toolkit","logs","browser","with","playwright","web","behavior","ui","screenshots",{"skillNo":119,"name":120,"nameZh":6,"description":121,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":91,"licenseFileUrl":122,"sourceHtmlUrl":123,"categories":124,"keywords":128,"publishedAt":43},"01M71D4CQR2A2TB7GASCR5ZBG3","skill-creator","Create new skills, modify and improve existing skills, and measure skill performance. 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Auto-detects dev servers, writes reusable test scripts, and supports screenshots, responsive checks, UX validation, login flows, link checks, and arbitrary browser automation. Use when the user wants to test a website, automate browser interactions, validate web functionality, or perform browser-based testing.","https:\u002F\u002Fgithub.com\u002Fstrmt7\u002Fai_skills_collection_benchmarked\u002Fblob\u002Fmain\u002Fincluded\u002Fskills\u002Fby-category\u002Ftesting-qa-benchmarking\u002Flatest-release-browser-automation\u002Fplaywright-skill\u002FSKILL.md",[154,155],{"categoryNo":96,"categoryName":97,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":126,"categoryName":127,"taxonomyType":21,"taxonomyTypeDesc":22},[113,157,158,159,103,160,161,135,162,111,163,164,165,166,167,168,169,170,171,172],"playwright skill","browser automation","flows","auto","access","Bash","website","ux","login","scripts","read","write","node","install","network","responsive",{"skillNo":174,"name":175,"nameZh":6,"description":176,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":91,"licenseFileUrl":177,"sourceHtmlUrl":178,"categories":179,"keywords":181,"publishedAt":43},"01M71CY25GM939M6RES91QSG3T","web-artifacts-builder","Suite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn\u002Fui). Use for complex artifacts requiring state management, routing, or shadcn\u002Fui components - not for simple single-file HTML\u002FJSX artifacts.","https:\u002F\u002Fgithub.com\u002Fstrmt7\u002Fai_skills_collection_benchmarked\u002Fblob\u002Fmain\u002Fincluded\u002Fskills\u002Fby-category\u002Fsearch-retrieval-web-automation\u002Fofficial-reference\u002Fweb-artifacts-builder\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002Fstrmt7\u002Fai_skills_collection_benchmarked\u002Fblob\u002Fmain\u002Fincluded\u002Fskills\u002Fby-category\u002Fsearch-retrieval-web-automation\u002Fofficial-reference\u002Fweb-artifacts-builder\u002FSKILL.md",[180],{"categoryNo":99,"categoryName":100,"taxonomyType":21,"taxonomyTypeDesc":22},[182,183,184,114,185,186,187,27,188,189,107,190,37,191,192,193,30,194,195,196],"builder","artifacts builder","artifacts","web artifacts builder","single-file","css","Tailwind","ui components","single","file","components","react","state","routing","state management",{"skillNo":198,"name":199,"nameZh":6,"description":200,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":91,"licenseFileUrl":201,"sourceHtmlUrl":202,"categories":203,"keywords":213,"publishedAt":43},"01M71CXZB60QJJ1H4S3NN94WMZ","frontend-design","Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, artifacts, posters, or applications (examples include websites, landing pages, dashboards, React components, HTML\u002FCSS layouts, or when styling\u002Fbeautifying any web UI). Generates creative, polished code and UI design that avoids generic AI aesthetics.","https:\u002F\u002Fgithub.com\u002Fstrmt7\u002Fai_skills_collection_benchmarked\u002Fblob\u002Fmain\u002Fincluded\u002Fskills\u002Fby-category\u002Fsearch-retrieval-web-automation\u002Fofficial-reference\u002Ffrontend-design\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002Fstrmt7\u002Fai_skills_collection_benchmarked\u002Fblob\u002Fmain\u002Fincluded\u002Fskills\u002Fby-category\u002Fsearch-retrieval-web-automation\u002Fofficial-reference\u002Ffrontend-design\u002FSKILL.md",[204,205,208],{"categoryNo":99,"categoryName":100,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":206,"categoryName":207,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000015","视觉设计",{"categoryNo":209,"categoryName":210,"taxonomyType":211,"taxonomyTypeDesc":212},"01JBSEEDCAT000000000000032","设计师","PROFESSION","适用职业",[107,214,215,187,216,217,218,105,219,220,37,135,184,221,192,222,193,223,224,112],"design","frontend design","ui design","generic","aesthetics","landing","pages","code","web ui","react components","examples",{"skillNo":226,"name":227,"nameZh":6,"description":228,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":229,"categories":230,"keywords":231,"publishedAt":43},"01M71CVZ54WFBTVA7R16PFY1ZE","zarr-python","Chunked N-D arrays for cloud storage. 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