[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6ADVEXCX1R49Q4QF12J8PXR":3,"skill-same:01M6ADVEXCX1R49Q4QF12J8PXR":101},{"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":50,"linkOnly":51,"markdownContent":52,"markdownBody":53,"frontMatter":54,"refName":57,"commitSha":58,"skillDirectory":59,"forksCount":60,"repositoryHtmlUrl":61,"repositoryHomepageUrl":62,"ownerHtmlUrl":63,"ownerBlogUrl":64,"ownerDescription":65,"updatedAt":66,"install":67,"resources":80},"01M6ADVEXCX1R49Q4QF12J8PXR","microsoft-skill-creator",null,"Create agent skills for Microsoft technologies using Learn MCP tools. Use when users want to create a skill that teaches agents about any Microsoft technology, library, framework, or service (Azure, .NET, M365, VS Code, Bicep, etc.). Investigates topics deeply, then generates a hybrid skill storing essential knowledge locally while enabling dynamic deeper investigation.","github\u002Fawesome-copilot","github","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F9919?v=4","01M6AC83DS133TPXFSP1DHNCC6","GitHub","01M6AD3PBDYPK7NVFJNJ66Y8RS",41162,"MIT","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Fmicrosoft-skill-creator\u002FSKILL.md",[18],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",[24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49],"skill creator","creator","microsoft","microsoft skill creator","when","MCP","deeper","fallback","knowledge","create agent skills","m365","api","Tools","server","library","https","mcp tools","framework","bicep","code","learn","create","azure","create agent","mcp server","cli","2026-11-10 10:12:30",false,"---\nname: microsoft-skill-creator\ndescription: Create agent skills for Microsoft technologies using Learn MCP tools. Use when users want to create a skill that teaches agents about any Microsoft technology, library, framework, or service (Azure, .NET, M365, VS Code, Bicep, etc.). Investigates topics deeply, then generates a hybrid skill storing essential knowledge locally while enabling dynamic deeper investigation.\ncontext: fork\ncompatibility: Works best with Microsoft Learn MCP Server (https:\u002F\u002Flearn.microsoft.com\u002Fapi\u002Fmcp). Can also use the mslearn CLI as a fallback.\n---\n\n# Microsoft Skill Creator\n\nCreate hybrid skills for Microsoft technologies that store essential knowledge locally while enabling dynamic Learn MCP lookups for deeper details.\n\n## About Skills\n\nSkills are modular packages that extend agent capabilities with specialized knowledge and workflows. A skill transforms a general-purpose agent into a specialized one for a specific domain.\n\n### Skill Structure\n\n```\nskill-name\u002F\n├── SKILL.md (required)     # Frontmatter (name, description) + instructions\n├── references\u002F             # Documentation loaded into context as needed\n├── sample_codes\u002F           # Working code examples\n└── assets\u002F                 # Files used in output (templates, etc.)\n```\n\n### Key Principles\n\n- **Frontmatter is critical**: `name` and `description` determine when the skill triggers—be clear and comprehensive\n- **Concise is key**: Only include what agents don't already know; context window is shared\n- **No duplication**: Information lives in SKILL.md OR reference files, not both\n\n## Learn MCP Tools\n\n| Tool | Purpose | When to Use |\n|------|---------|-------------|\n| `microsoft_docs_search` | Search official docs | First pass discovery, finding topics |\n| `microsoft_docs_fetch` | Get full page content | Deep dive into important pages |\n| `microsoft_code_sample_search` | Find code examples | Get implementation patterns |\n\n### CLI Alternative\n\nIf the Learn MCP server is not available, use the `mslearn` CLI from a terminal or shell (for example, Bash, PowerShell, or cmd) instead:\n\n```bash\n# Run directly (no install needed)\nnpx @microsoft\u002Flearn-cli search \"semantic kernel overview\"\n\n# Or install globally, then run\nnpm install -g @microsoft\u002Flearn-cli\nmslearn search \"semantic kernel overview\"\n```\n\n| MCP Tool | CLI Command |\n|----------|-------------|\n| `microsoft_docs_search(query: \"...\")` | `mslearn search \"...\"` |\n| `microsoft_code_sample_search(query: \"...\", language: \"...\")` | `mslearn code-search \"...\" --language ...` |\n| `microsoft_docs_fetch(url: \"...\")` | `mslearn fetch \"...\"` |\n\nGenerated skills should include this same CLI fallback table so agents can use either path.\n\n## Creation Process\n\n### Step 1: Investigate the Topic\n\nBuild deep understanding using Learn MCP tools in three phases:\n\n**Phase 1 - Scope Discovery:**\n```\nmicrosoft_docs_search(query=\"{technology} overview what is\")\nmicrosoft_docs_search(query=\"{technology} concepts architecture\")\nmicrosoft_docs_search(query=\"{technology} getting started tutorial\")\n```\n\n**Phase 2 - Core Content:**\n```\nmicrosoft_docs_fetch(url=\"...\")  # Fetch pages from Phase 1\nmicrosoft_code_sample_search(query=\"{technology}\", language=\"{lang}\")\n```\n\n**Phase 3 - Depth:**\n```\nmicrosoft_docs_search(query=\"{technology} best practices\")\nmicrosoft_docs_search(query=\"{technology} troubleshooting errors\")\n```\n\n#### Investigation Checklist\n\nAfter investigating, verify:\n- [ ] Can explain what the technology does in one paragraph\n- [ ] Identified 3-5 key concepts\n- [ ] Have working code for basic usage\n- [ ] Know the most common API patterns\n- [ ] Have search queries for deeper topics\n\n### Step 2: Clarify with User\n\nPresent findings and ask:\n1. \"I found these key areas: [list]. Which are most important?\"\n2. \"What tasks will agents primarily perform with this skill?\"\n3. \"Which programming language should code samples prioritize?\"\n\n### Step 3: Generate the Skill\n\nUse the appropriate template from [skill-templates.md](references\u002Fskill-templates.md):\n\n| Technology Type | Template |\n|-----------------|----------|\n| Client library, NuGet\u002Fnpm package | SDK\u002FLibrary |\n| Azure resource | Azure Service |\n| App development framework | Framework\u002FPlatform |\n| REST API, protocol | API\u002FProtocol |\n\n#### Generated Skill Structure\n\n```\n{skill-name}\u002F\n├── SKILL.md                    # Core knowledge + Learn MCP guidance\n├── references\u002F                 # Detailed local documentation (if needed)\n└── sample_codes\u002F               # Working code examples\n    ├── getting-started\u002F\n    └── common-patterns\u002F\n```\n\n### Step 4: Balance Local vs Dynamic Content\n\n**Store locally when:**\n- Foundational (needed for any task)\n- Frequently accessed\n- Stable (won't change)\n- Hard to find via search\n\n**Keep dynamic when:**\n- Exhaustive reference (too large)\n- Version-specific\n- Situational (specific tasks only)\n- Well-indexed (easy to search)\n\n#### Content Guidelines\n\n| Content Type | Local | Dynamic |\n|--------------|-------|---------|\n| Core concepts (3-5) | ✅ Full | |\n| Hello world code | ✅ Full | |\n| Common patterns (3-5) | ✅ Full | |\n| Top API methods | Signature + example | Full docs via fetch |\n| Best practices | Top 5 bullets | Search for more |\n| Troubleshooting | | Search queries |\n| Full API reference | | Doc links |\n\n### Step 5: Validate\n\n1. Review: Is local content sufficient for common tasks?\n2. Test: Do suggested search queries return useful results?\n3. Verify: Do code samples run without errors?\n\n## Common Investigation Patterns\n\n### For SDKs\u002FLibraries\n```\n\"{name} overview\" → purpose, architecture\n\"{name} getting started quickstart\" → setup steps\n\"{name} API reference\" → core classes\u002Fmethods\n\"{name} samples examples\" → code patterns\n\"{name} best practices performance\" → optimization\n```\n\n### For Azure Services\n```\n\"{service} overview features\" → capabilities\n\"{service} quickstart {language}\" → setup code\n\"{service} REST API reference\" → endpoints\n\"{service} SDK {language}\" → client library\n\"{service} pricing limits quotas\" → constraints\n```\n\n### For Frameworks\u002FPlatforms\n```\n\"{framework} architecture concepts\" → mental model\n\"{framework} project structure\" → conventions\n\"{framework} tutorial walkthrough\" → end-to-end flow\n\"{framework} configuration options\" → customization\n```\n\n## Example: Creating a \"Semantic Kernel\" Skill\n\n### Investigation\n\n```\nmicrosoft_docs_search(query=\"semantic kernel overview\")\nmicrosoft_docs_search(query=\"semantic kernel plugins functions\")\nmicrosoft_code_sample_search(query=\"semantic kernel\", language=\"csharp\")\nmicrosoft_docs_fetch(url=\"https:\u002F\u002Flearn.microsoft.com\u002Fsemantic-kernel\u002Foverview\u002F\")\n```\n\n### Generated Skill\n\n```\nsemantic-kernel\u002F\n├── SKILL.md\n└── sample_codes\u002F\n    ├── getting-started\u002F\n    │   └── hello-kernel.cs\n    └── common-patterns\u002F\n        ├── chat-completion.cs\n        └── function-calling.cs\n```\n\n### Generated SKILL.md\n\n```markdown\n---\nname: semantic-kernel\ndescription: Build AI agents with Microsoft Semantic Kernel. Use for LLM-powered apps with plugins, planners, and memory in .NET or Python.\n---\n\n# Semantic Kernel\n\nOrchestration SDK for integrating LLMs into applications with plugins, planners, and memory.\n\n## Key Concepts\n\n- **Kernel**: Central orchestrator managing AI services and plugins\n- **Plugins**: Collections of functions the AI can call\n- **Planner**: Sequences plugin functions to achieve goals\n- **Memory**: Vector store integration for RAG patterns\n\n## Quick Start\n\nSee [getting-started\u002Fhello-kernel.cs](sample_codes\u002Fgetting-started\u002Fhello-kernel.cs)\n\n## Learn More\n\n| Topic | How to Find |\n|-------|-------------|\n| Plugin development | `microsoft_docs_search(query=\"semantic kernel plugins custom functions\")` |\n| Planners | `microsoft_docs_search(query=\"semantic kernel planner\")` |\n| Memory | `microsoft_docs_fetch(url=\"https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fsemantic-kernel\u002Fframeworks\u002Fagent\u002Fagent-memory\")` |\n\n## CLI Alternative\n\nIf the Learn MCP server is not available, use the `mslearn` CLI instead:\n\n| MCP Tool | CLI Command |\n|----------|-------------|\n| `microsoft_docs_search(query: \"...\")` | `mslearn search \"...\"` |\n| `microsoft_code_sample_search(query: \"...\", language: \"...\")` | `mslearn code-search \"...\" --language ...` |\n| `microsoft_docs_fetch(url: \"...\")` | `mslearn fetch \"...\"` |\n\nRun directly with `npx @microsoft\u002Flearn-cli \u003Ccommand>` or install globally with `npm install -g @microsoft\u002Flearn-cli`.\n```\n","# Microsoft Skill Creator\n\nCreate hybrid skills for Microsoft technologies that store essential knowledge locally while enabling dynamic Learn MCP lookups for deeper details.\n\n## About Skills\n\nSkills are modular packages that extend agent capabilities with specialized knowledge and workflows. A skill transforms a general-purpose agent into a specialized one for a specific domain.\n\n### Skill Structure\n\n```\nskill-name\u002F\n├── SKILL.md (required)     # Frontmatter (name, description) + instructions\n├── references\u002F             # Documentation loaded into context as needed\n├── sample_codes\u002F           # Working code examples\n└── assets\u002F                 # Files used in output (templates, etc.)\n```\n\n### Key Principles\n\n- **Frontmatter is critical**: `name` and `description` determine when the skill triggers—be clear and comprehensive\n- **Concise is key**: Only include what agents don't already know; context window is shared\n- **No duplication**: Information lives in SKILL.md OR reference files, not both\n\n## Learn MCP Tools\n\n| Tool | Purpose | When to Use |\n|------|---------|-------------|\n| `microsoft_docs_search` | Search official docs | First pass discovery, finding topics |\n| `microsoft_docs_fetch` | Get full page content | Deep dive into important pages |\n| `microsoft_code_sample_search` | Find code examples | Get implementation patterns |\n\n### CLI Alternative\n\nIf the Learn MCP server is not available, use the `mslearn` CLI from a terminal or shell (for example, Bash, PowerShell, or cmd) instead:\n\n```bash\n# Run directly (no install needed)\nnpx @microsoft\u002Flearn-cli search \"semantic kernel overview\"\n\n# Or install globally, then run\nnpm install -g @microsoft\u002Flearn-cli\nmslearn search \"semantic kernel overview\"\n```\n\n| MCP Tool | CLI Command |\n|----------|-------------|\n| `microsoft_docs_search(query: \"...\")` | `mslearn search \"...\"` |\n| `microsoft_code_sample_search(query: \"...\", language: \"...\")` | `mslearn code-search \"...\" --language ...` |\n| `microsoft_docs_fetch(url: \"...\")` | `mslearn fetch \"...\"` |\n\nGenerated skills should include this same CLI fallback table so agents can use either path.\n\n## Creation Process\n\n### Step 1: Investigate the Topic\n\nBuild deep understanding using Learn MCP tools in three phases:\n\n**Phase 1 - Scope Discovery:**\n```\nmicrosoft_docs_search(query=\"{technology} overview what is\")\nmicrosoft_docs_search(query=\"{technology} concepts architecture\")\nmicrosoft_docs_search(query=\"{technology} getting started tutorial\")\n```\n\n**Phase 2 - Core Content:**\n```\nmicrosoft_docs_fetch(url=\"...\")  # Fetch pages from Phase 1\nmicrosoft_code_sample_search(query=\"{technology}\", language=\"{lang}\")\n```\n\n**Phase 3 - Depth:**\n```\nmicrosoft_docs_search(query=\"{technology} best practices\")\nmicrosoft_docs_search(query=\"{technology} troubleshooting errors\")\n```\n\n#### Investigation Checklist\n\nAfter investigating, verify:\n- [ ] Can explain what the technology does in one paragraph\n- [ ] Identified 3-5 key concepts\n- [ ] Have working code for basic usage\n- [ ] Know the most common API patterns\n- [ ] Have search queries for deeper topics\n\n### Step 2: Clarify with User\n\nPresent findings and ask:\n1. \"I found these key areas: [list]. Which are most important?\"\n2. \"What tasks will agents primarily perform with this skill?\"\n3. \"Which programming language should code samples prioritize?\"\n\n### Step 3: Generate the Skill\n\nUse the appropriate template from [skill-templates.md](references\u002Fskill-templates.md):\n\n| Technology Type | Template |\n|-----------------|----------|\n| Client library, NuGet\u002Fnpm package | SDK\u002FLibrary |\n| Azure resource | Azure Service |\n| App development framework | Framework\u002FPlatform |\n| REST API, protocol | API\u002FProtocol |\n\n#### Generated Skill Structure\n\n```\n{skill-name}\u002F\n├── SKILL.md                    # Core knowledge + Learn MCP guidance\n├── references\u002F                 # Detailed local documentation (if needed)\n└── sample_codes\u002F               # Working code examples\n    ├── getting-started\u002F\n    └── common-patterns\u002F\n```\n\n### Step 4: Balance Local vs Dynamic Content\n\n**Store locally when:**\n- Foundational (needed for any task)\n- Frequently accessed\n- Stable (won't change)\n- Hard to find via search\n\n**Keep dynamic when:**\n- Exhaustive reference (too large)\n- Version-specific\n- Situational (specific tasks only)\n- Well-indexed (easy to search)\n\n#### Content Guidelines\n\n| Content Type | Local | Dynamic |\n|--------------|-------|---------|\n| Core concepts (3-5) | ✅ Full | |\n| Hello world code | ✅ Full | |\n| Common patterns (3-5) | ✅ Full | |\n| Top API methods | Signature + example | Full docs via fetch |\n| Best practices | Top 5 bullets | Search for more |\n| Troubleshooting | | Search queries |\n| Full API reference | | Doc links |\n\n### Step 5: Validate\n\n1. Review: Is local content sufficient for common tasks?\n2. Test: Do suggested search queries return useful results?\n3. Verify: Do code samples run without errors?\n\n## Common Investigation Patterns\n\n### For SDKs\u002FLibraries\n```\n\"{name} overview\" → purpose, architecture\n\"{name} getting started quickstart\" → setup steps\n\"{name} API reference\" → core classes\u002Fmethods\n\"{name} samples examples\" → code patterns\n\"{name} best practices performance\" → optimization\n```\n\n### For Azure Services\n```\n\"{service} overview features\" → capabilities\n\"{service} quickstart {language}\" → setup code\n\"{service} REST API reference\" → endpoints\n\"{service} SDK {language}\" → client library\n\"{service} pricing limits quotas\" → constraints\n```\n\n### For Frameworks\u002FPlatforms\n```\n\"{framework} architecture concepts\" → mental model\n\"{framework} project structure\" → conventions\n\"{framework} tutorial walkthrough\" → end-to-end flow\n\"{framework} configuration options\" → customization\n```\n\n## Example: Creating a \"Semantic Kernel\" Skill\n\n### Investigation\n\n```\nmicrosoft_docs_search(query=\"semantic kernel overview\")\nmicrosoft_docs_search(query=\"semantic kernel plugins functions\")\nmicrosoft_code_sample_search(query=\"semantic kernel\", language=\"csharp\")\nmicrosoft_docs_fetch(url=\"https:\u002F\u002Flearn.microsoft.com\u002Fsemantic-kernel\u002Foverview\u002F\")\n```\n\n### Generated Skill\n\n```\nsemantic-kernel\u002F\n├── SKILL.md\n└── sample_codes\u002F\n    ├── getting-started\u002F\n    │   └── hello-kernel.cs\n    └── common-patterns\u002F\n        ├── chat-completion.cs\n        └── function-calling.cs\n```\n\n### Generated SKILL.md\n\n```markdown\n---\nname: semantic-kernel\ndescription: Build AI agents with Microsoft Semantic Kernel. Use for LLM-powered apps with plugins, planners, and memory in .NET or Python.\n---\n\n# Semantic Kernel\n\nOrchestration SDK for integrating LLMs into applications with plugins, planners, and memory.\n\n## Key Concepts\n\n- **Kernel**: Central orchestrator managing AI services and plugins\n- **Plugins**: Collections of functions the AI can call\n- **Planner**: Sequences plugin functions to achieve goals\n- **Memory**: Vector store integration for RAG patterns\n\n## Quick Start\n\nSee [getting-started\u002Fhello-kernel.cs](sample_codes\u002Fgetting-started\u002Fhello-kernel.cs)\n\n## Learn More\n\n| Topic | How to Find |\n|-------|-------------|\n| Plugin development | `microsoft_docs_search(query=\"semantic kernel plugins custom functions\")` |\n| Planners | `microsoft_docs_search(query=\"semantic kernel planner\")` |\n| Memory | `microsoft_docs_fetch(url=\"https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fsemantic-kernel\u002Fframeworks\u002Fagent\u002Fagent-memory\")` |\n\n## CLI Alternative\n\nIf the Learn MCP server is not available, use the `mslearn` CLI instead:\n\n| MCP Tool | CLI Command |\n|----------|-------------|\n| `microsoft_docs_search(query: \"...\")` | `mslearn search \"...\"` |\n| `microsoft_code_sample_search(query: \"...\", language: \"...\")` | `mslearn code-search \"...\" --language ...` |\n| `microsoft_docs_fetch(url: \"...\")` | `mslearn fetch \"...\"` |\n\nRun directly with `npx @microsoft\u002Flearn-cli \u003Ccommand>` or install globally with `npm install -g @microsoft\u002Flearn-cli`.\n```\n",{"name":5,"context":55,"description":7,"compatibility":56},"fork","Works best with Microsoft Learn MCP Server (https:\u002F\u002Flearn.microsoft.com\u002Fapi\u002Fmcp). Can also use the mslearn CLI as a fallback.","main","5269f7ea2d6c3a9bfda5ed878b6726cf509121fd","skills\u002Fmicrosoft-skill-creator",5360,"https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot","https:\u002F\u002Fawesome-copilot.github.com\u002F","https:\u002F\u002Fgithub.com\u002Fgithub","https:\u002F\u002Fgithub.com\u002Fabout","How people build software.","2026-11-15 04:42:30",{"source":8,"skillName":5,"commands":68,"prompt":78,"zipAvailable":79},[69,72,75],{"tool":70,"command":71},"npx","npx skills add github\u002Fawesome-copilot --skill microsoft-skill-creator",{"tool":73,"command":74},"bunx","bunx skills add github\u002Fawesome-copilot --skill microsoft-skill-creator",{"tool":76,"command":77},"pnpm","pnpm dlx skills add github\u002Fawesome-copilot --skill microsoft-skill-creator","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Fmicrosoft-skill-creator\u002FSKILL.md",true,[81,87,91,97],{"path":82,"resourceType":83,"resourceTypeDesc":84,"sizeBytes":85,"sourceHtmlUrl":86},"references\u002Fissue-taxonomy.md","REFERENCE","参考文档",3619,"https:\u002F\u002Fgithub.com\u002Fshengdabai\u002FTony-Claude-Code-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fgstack\u002Fqa\u002Freferences\u002Fissue-taxonomy.md",{"path":88,"resourceType":83,"resourceTypeDesc":84,"sizeBytes":89,"sourceHtmlUrl":90},"references\u002Fskill-templates.md",7890,"https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Fmicrosoft-skill-creator\u002Freferences\u002Fskill-templates.md",{"path":92,"resourceType":93,"resourceTypeDesc":94,"sizeBytes":95,"sourceHtmlUrl":96},"SKILL.md.tmpl","OTHER","其他",12701,"https:\u002F\u002Fgithub.com\u002Fshengdabai\u002FTony-Claude-Code-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fgstack\u002Fqa\u002FSKILL.md.tmpl",{"path":98,"resourceType":83,"resourceTypeDesc":84,"sizeBytes":99,"sourceHtmlUrl":100},"templates\u002Fqa-report-template.md",2979,"https:\u002F\u002Fgithub.com\u002Fshengdabai\u002FTony-Claude-Code-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fgstack\u002Fqa\u002Ftemplates\u002Fqa-report-template.md",[102,132,160,188,221,237],{"skillNo":103,"name":104,"nameZh":6,"description":105,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":106,"categories":107,"keywords":112,"publishedAt":50},"01M70KXZNX9ES38N2A8M58ZZMZ","supabase-rls-policies","Write, review, and test Supabase Row Level Security (RLS) policies so that one user cannot read or change another user's rows. Use when creating or changing tables, policies, views, or security definer functions in a Supabase project, when reviewing a migration that touches RLS, or when asked to prove user isolation with pgTAP tests that sign in as two users.","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Fsupabase-rls-policies\u002FSKILL.md",[108,111],{"categoryNo":109,"categoryName":110,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000008","测试与质量",{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[113,114,115,116,117,28,118,119,120,121,122,123,124,125,126,127,128,129,130,131],"supabase","rls","supabase rls","supabase rls policies","project","review","change","read","write","security","isolation","tables","as","tests","prove","use","users","functions","with",{"skillNo":133,"name":134,"nameZh":6,"description":135,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":136,"categories":137,"keywords":139,"publishedAt":50},"01M70KWA5YWXDV6V8DZ19E3T2Y","skill-distribution-audit","Audit a skill collection before release or investigate installer omissions, archived\u002Ftemplate leakage, duplicate identities, and manifest drift. Reconcile the intended public source set, distribution manifest, and actual discovery output for a specified consumer version. Includes a deterministic set-comparison helper.","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Fskill-distribution-audit\u002FSKILL.md",[138],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159],"distribution","skill distribution audit","audit","SET","deterministic","installer","for","discovery","comparison","helper","manifest","version","collection","drift","output","investigate","duplicate","template","release","reconcile",{"skillNo":161,"name":162,"nameZh":6,"description":163,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":164,"sourceHtmlUrl":165,"categories":166,"keywords":172,"publishedAt":50},"01M70KCJPFVW7PPQ49CC5R8JGK","logicapps-custom-code-net10-migration","Migrate Azure Logic Apps Standard local-function custom-code projects from .NET 8 to .NET 10. Use for legacy Logic Apps custom-code workspace upgrades, project\u002Fpackage configuration, custom-worker settings, publication, and integrated VS Code debugging. Not for ordinary .NET applications, standalone Azure Functions, Consumption workflows, or cloud deployment.","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Flogicapps-custom-code-net10-migration\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Flogicapps-custom-code-net10-migration\u002FSKILL.md",[167],{"categoryNo":168,"categoryName":169,"taxonomyType":170,"taxonomyTypeDesc":171},"01JBSEEDCAT000000000000030","开发工程师","PROFESSION","适用职业",[173,43,174,175,176,177,146,117,178,179,180,46,181,182,183,128,184,185,186,187],"custom","logicapps custom code net10 migration","migration","projects","standalone","deployment","applications","local","worker","upgrades","package","apps","Legacy","debugging","workflows",{"skillNo":189,"name":190,"nameZh":6,"description":191,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":192,"sourceHtmlUrl":193,"categories":194,"keywords":199,"publishedAt":50},"01M6AEBN37RQMXJ3298PEY7PG1","winmd-api-search","Find and explore Windows desktop APIs. Use when building features that need platform capabilities — camera, file access, notifications, UI controls, AI\u002FML, sensors, networking, etc. Discovers the right API for a task and retrieves full type details (methods, properties, events, enumeration values).","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Fwinmd-api-search\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Fwinmd-api-search\u002FSKILL.md",[195,198],{"categoryNo":196,"categoryName":197,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000010","后端与接口",{"categoryNo":168,"categoryName":169,"taxonomyType":170,"taxonomyTypeDesc":171},[200,201,35,202,203,204,205,206,207,208,209,210,211,212,213,28,214,215,216,217,218,146,219,220],"winmd api search","search","windows","desktop","file access","enumeration","ui","ml","file","networking","capabilities","notifications","explore","access","features","full","camera","events","platform","methods","controls",{"skillNo":222,"name":223,"nameZh":6,"description":224,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":225,"licenseFileUrl":226,"sourceHtmlUrl":227,"categories":228,"keywords":234,"publishedAt":50},"01M6AE571R3SC1ZGE202B3NB5S","resemble-detect","Deepfake detection and media safety — detect AI-generated audio, images, video, and text, trace synthesis sources, apply watermarks, verify speaker identity, and analyze media intelligence using Resemble AI","Apache-2.0","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Fresemble-detect\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Fresemble-detect\u002FSKILL.md",[229,230,233],{"categoryNo":196,"categoryName":197,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":231,"categoryName":232,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000016","图像与多媒体",{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[235,143,208,39,236],"resemble detect","identity",{"skillNo":238,"name":239,"nameZh":6,"description":240,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":225,"licenseFileUrl":241,"sourceHtmlUrl":242,"categories":243,"keywords":248,"publishedAt":50},"01M6AE30BSK2HCY4TQQ22Z8JRD","quality-playbook","Run a complete quality engineering audit on any codebase. Derives behavioral requirements from the code, generates spec-traced functional tests, runs a three-pass code review with regression tests, executes a multi-model spec audit (Council of Three), and produces a consolidated bug report with TDD-verified patches. Finds the 35% of real defects that structural code review alone cannot catch. Works with any language. Trigger on 'quality playbook', 'spec audit', 'Council of Three', 'fitness-to-purpose', or 'coverage theater'.","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Fquality-playbook\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Fquality-playbook\u002FSKILL.md",[244,247],{"categoryNo":245,"categoryName":246,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000007","代码审查",{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[249,250,251,252,43,118,9,142,253,254,39,255,256,257,258,259,260,261,262,263,264,265,126,266,267,268,269],"playbook","quality playbook","quality","code review","tdd","run","report","spec","bug report","council","engineering","functional","spec audit","bug","verified","multi-model","three","coverage","model","regression","structural"]