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Use for hierarchical file systems, big data analytics, and file\u002Fdirectory operations.\nTriggers: \"data lake\", \"DataLakeServiceClient\", \"FileSystemClient\", \"ADLS Gen2\", \"hierarchical namespace\".","microsoft\u002Fskills","microsoft","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F6154722?v=4","01M698VYDXZ6JW5WH3CRV650R8","Microsoft","01M69AJYYW4E1RMSYCQDJ4FJSH",3204,"MIT","https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fskills\u002Fblob\u002Fmain\u002F.github\u002Fplugins\u002Fazure-sdk-python\u002Fskills\u002Fazure-storage-file-datalake-py\u002FSKILL.md",[18],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000033","数据分析师","PROFESSION","适用职业",[24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,9,41,42],"storage","azure storage","azure","azure storage file datalake py","datalake","file","data analytics","directory","for","file systems","systems","triggers","use","operations","data","big data","analytics","sdk","python","2026-11-10 10:12:30",false,"---\nname: azure-storage-file-datalake-py\ndescription: |\n  Azure Data Lake Storage Gen2 SDK for Python. Use for hierarchical file systems, big data analytics, and file\u002Fdirectory operations.\n  Triggers: \"data lake\", \"DataLakeServiceClient\", \"FileSystemClient\", \"ADLS Gen2\", \"hierarchical namespace\".\nlicense: MIT\nmetadata:\n  author: Microsoft\n  version: \"1.0.0\"\n  package: azure-storage-file-datalake\n---\n\n# Azure Data Lake Storage Gen2 SDK for Python\n\nHierarchical file system for big data analytics workloads.\n\n## Installation\n\n```bash\npip install azure-storage-file-datalake azure-identity\n```\n\n## Environment Variables\n\n```bash\nAZURE_STORAGE_ACCOUNT_URL=https:\u002F\u002F\u003Caccount>.dfs.core.windows.net  # Required for all auth methods\nAZURE_TOKEN_CREDENTIALS=prod # Required only if DefaultAzureCredential is used in production\n```\n\n## Authentication & Lifecycle\n\n> **? Two rules apply to every code sample below:**\n>\n> 1. **Prefer `DefaultAzureCredential`.** It works locally (Azure CLI \u002F VS Code \u002F Developer CLI) and in Azure (managed identity, workload identity) with no code change. Avoid connection strings, account\u002FAPI keys — they bypass Entra audit and rotation.\n>    - Local dev: `DefaultAzureCredential` works as-is.\n>    - Production: set `AZURE_TOKEN_CREDENTIALS=prod` (or `AZURE_TOKEN_CREDENTIALS=\u003Cspecific_credential>`) to constrain the credential chain to production-safe credentials.\n> 2. **Wrap every client in a context manager** so HTTP transports, sockets, and token caches are released deterministically:\n>    - Sync: `with \u003CClient>(...) as client:`\n>    - Async: `async with \u003CClient>(...) as client:` **and** `async with DefaultAzureCredential() as credential:` (from `azure.identity.aio`)\n>\n> Snippets may abbreviate this setup, but production code should always follow both rules.\n\n```python\nfrom azure.identity import DefaultAzureCredential, ManagedIdentityCredential\nfrom azure.storage.filedatalake import DataLakeServiceClient\n\n# Local dev: DefaultAzureCredential. Production: set AZURE_TOKEN_CREDENTIALS=prod or AZURE_TOKEN_CREDENTIALS=\u003Cspecific_credential>\ncredential = DefaultAzureCredential(require_envvar=True)\n# Or use a specific credential directly in production:\n# See https:\u002F\u002Flearn.microsoft.com\u002Fpython\u002Fapi\u002Foverview\u002Fazure\u002Fidentity-readme?view=azure-python#credential-classes\n# credential = ManagedIdentityCredential()\naccount_url = \"https:\u002F\u002F\u003Caccount>.dfs.core.windows.net\"\n\nwith DataLakeServiceClient(account_url=account_url, credential=credential) as service_client:\n    # Use service_client here (see following sections for operations)\n    ...\n```\n\n## Client Hierarchy\n\n| Client | Purpose |\n|--------|---------|\n| `DataLakeServiceClient` | Account-level operations |\n| `FileSystemClient` | Container (file system) operations |\n| `DataLakeDirectoryClient` | Directory operations |\n| `DataLakeFileClient` | File operations |\n\n## File System Operations\n\n```python\n# Create file system (container)\nfile_system_client = service_client.create_file_system(\"myfilesystem\")\n\n# Get existing\nfile_system_client = service_client.get_file_system_client(\"myfilesystem\")\n\n# Delete\nservice_client.delete_file_system(\"myfilesystem\")\n\n# List file systems\nfor fs in service_client.list_file_systems():\n    print(fs.name)\n```\n\n## Directory Operations\n\n```python\nfile_system_client = service_client.get_file_system_client(\"myfilesystem\")\n\n# Create directory\ndirectory_client = file_system_client.create_directory(\"mydir\")\n\n# Create nested directories\ndirectory_client = file_system_client.create_directory(\"path\u002Fto\u002Fnested\u002Fdir\")\n\n# Get directory client\ndirectory_client = file_system_client.get_directory_client(\"mydir\")\n\n# Delete directory\ndirectory_client.delete_directory()\n\n# Rename\u002Fmove directory\ndirectory_client.rename_directory(new_name=\"myfilesystem\u002Fnewname\")\n```\n\n## File Operations\n\n### Upload File\n\n```python\n# Get file client\nfile_client = file_system_client.get_file_client(\"path\u002Fto\u002Ffile.txt\")\n\n# Upload from local file\nwith open(\"local-file.txt\", \"rb\") as data:\n    file_client.upload_data(data, overwrite=True)\n\n# Upload bytes\nfile_client.upload_data(b\"Hello, Data Lake!\", overwrite=True)\n\n# Append data (for large files)\nfile_client.append_data(data=b\"chunk1\", offset=0, length=6)\nfile_client.append_data(data=b\"chunk2\", offset=6, length=6)\nfile_client.flush_data(12)  # Commit the data\n```\n\n### Download File\n\n```python\nfile_client = file_system_client.get_file_client(\"path\u002Fto\u002Ffile.txt\")\n\n# Download all content\ndownload = file_client.download_file()\ncontent = download.readall()\n\n# Download to file\nwith open(\"downloaded.txt\", \"wb\") as f:\n    download = file_client.download_file()\n    download.readinto(f)\n\n# Download range\ndownload = file_client.download_file(offset=0, length=100)\n```\n\n### Delete File\n\n```python\nfile_client.delete_file()\n```\n\n## List Contents\n\n```python\n# List paths (files and directories)\nfor path in file_system_client.get_paths():\n    print(f\"{'DIR' if path.is_directory else 'FILE'}: {path.name}\")\n\n# List paths in directory\nfor path in file_system_client.get_paths(path=\"mydir\"):\n    print(path.name)\n\n# Recursive listing\nfor path in file_system_client.get_paths(path=\"mydir\", recursive=True):\n    print(path.name)\n```\n\n## File\u002FDirectory Properties\n\n```python\n# Get properties\nproperties = file_client.get_file_properties()\nprint(f\"Size: {properties.size}\")\nprint(f\"Last modified: {properties.last_modified}\")\n\n# Set metadata\nfile_client.set_metadata(metadata={\"processed\": \"true\"})\n```\n\n## Access Control (ACL)\n\n```python\n# Get ACL\nacl = directory_client.get_access_control()\nprint(f\"Owner: {acl['owner']}\")\nprint(f\"Permissions: {acl['permissions']}\")\n\n# Set ACL\ndirectory_client.set_access_control(\n    owner=\"user-id\",\n    permissions=\"rwxr-x---\"\n)\n\n# Update ACL entries\nfrom azure.storage.filedatalake import AccessControlChangeResult\ndirectory_client.update_access_control_recursive(\n    acl=\"user:user-id:rwx\"\n)\n```\n\n## Async Client\n\n```python\nfrom azure.storage.filedatalake.aio import DataLakeServiceClient\nfrom azure.identity.aio import DefaultAzureCredential\n\nasync def datalake_operations():\n    async with DefaultAzureCredential() as credential:\n        async with DataLakeServiceClient(\n            account_url=\"https:\u002F\u002F\u003Caccount>.dfs.core.windows.net\",\n            credential=credential\n        ) as service_client:\n            file_system_client = service_client.get_file_system_client(\"myfilesystem\")\n            file_client = file_system_client.get_file_client(\"test.txt\")\n            \n            await file_client.upload_data(b\"async content\", overwrite=True)\n            \n            download = await file_client.download_file()\n            content = await download.readall()\n\nimport asyncio\nasyncio.run(datalake_operations())\n```\n\n## Best Practices\n\n1. **Pick sync OR async and stay consistent.** Do not mix `azure.storage.filedatalake` sync clients with `azure.storage.filedatalake.aio` async clients in the same call path. Choose one mode per module.\n2. **Always use context managers for clients and async credentials.** Wrap every client in `with DataLakeServiceClient(...) as client:` (sync) or `async with DataLakeServiceClient(...) as client:` (async). For async `DefaultAzureCredential` from `azure.identity.aio`, also use `async with credential:` so tokens and transports are cleaned up.\n3. **Use `DefaultAzureCredential`** for portable auth across local dev and Azure (avoid connection strings \u002F API keys when possible).\n4. **Use hierarchical namespace** for file system semantics\n5. **Use `append_data` + `flush_data`** for large file uploads\n6. **Set ACLs at directory level** and inherit to children\n7. **Use async client** for high-throughput scenarios\n8. **Use `get_paths` with `recursive=True`** for full directory listing\n9. **Set metadata** for custom file attributes\n10. **Consider Blob API** for simple object storage use cases\n\n## Reference Files\n\n| File | Contents |\n|------|----------|\n| [references\u002Fcapabilities.md](references\u002Fcapabilities.md) | Additional non-hero capabilities, operation-group coverage, and production checklists. |\n| [references\u002Fnon-hero-scenarios.md](references\u002Fnon-hero-scenarios.md) | Dedicated non-hero examples for secondary\u002Fadvanced scenarios. |\n","# Azure Data Lake Storage Gen2 SDK for Python\n\nHierarchical file system for big data analytics workloads.\n\n## Installation\n\n```bash\npip install azure-storage-file-datalake azure-identity\n```\n\n## Environment Variables\n\n```bash\nAZURE_STORAGE_ACCOUNT_URL=https:\u002F\u002F\u003Caccount>.dfs.core.windows.net  # Required for all auth methods\nAZURE_TOKEN_CREDENTIALS=prod # Required only if DefaultAzureCredential is used in production\n```\n\n## Authentication & Lifecycle\n\n> **? Two rules apply to every code sample below:**\n>\n> 1. **Prefer `DefaultAzureCredential`.** It works locally (Azure CLI \u002F VS Code \u002F Developer CLI) and in Azure (managed identity, workload identity) with no code change. Avoid connection strings, account\u002FAPI keys — they bypass Entra audit and rotation.\n>    - Local dev: `DefaultAzureCredential` works as-is.\n>    - Production: set `AZURE_TOKEN_CREDENTIALS=prod` (or `AZURE_TOKEN_CREDENTIALS=\u003Cspecific_credential>`) to constrain the credential chain to production-safe credentials.\n> 2. **Wrap every client in a context manager** so HTTP transports, sockets, and token caches are released deterministically:\n>    - Sync: `with \u003CClient>(...) as client:`\n>    - Async: `async with \u003CClient>(...) as client:` **and** `async with DefaultAzureCredential() as credential:` (from `azure.identity.aio`)\n>\n> Snippets may abbreviate this setup, but production code should always follow both rules.\n\n```python\nfrom azure.identity import DefaultAzureCredential, ManagedIdentityCredential\nfrom azure.storage.filedatalake import DataLakeServiceClient\n\n# Local dev: DefaultAzureCredential. Production: set AZURE_TOKEN_CREDENTIALS=prod or AZURE_TOKEN_CREDENTIALS=\u003Cspecific_credential>\ncredential = DefaultAzureCredential(require_envvar=True)\n# Or use a specific credential directly in production:\n# See https:\u002F\u002Flearn.microsoft.com\u002Fpython\u002Fapi\u002Foverview\u002Fazure\u002Fidentity-readme?view=azure-python#credential-classes\n# credential = ManagedIdentityCredential()\naccount_url = \"https:\u002F\u002F\u003Caccount>.dfs.core.windows.net\"\n\nwith DataLakeServiceClient(account_url=account_url, credential=credential) as service_client:\n    # Use service_client here (see following sections for operations)\n    ...\n```\n\n## Client Hierarchy\n\n| Client | Purpose |\n|--------|---------|\n| `DataLakeServiceClient` | Account-level operations |\n| `FileSystemClient` | Container (file system) operations |\n| `DataLakeDirectoryClient` | Directory operations |\n| `DataLakeFileClient` | File operations |\n\n## File System Operations\n\n```python\n# Create file system (container)\nfile_system_client = service_client.create_file_system(\"myfilesystem\")\n\n# Get existing\nfile_system_client = service_client.get_file_system_client(\"myfilesystem\")\n\n# Delete\nservice_client.delete_file_system(\"myfilesystem\")\n\n# List file systems\nfor fs in service_client.list_file_systems():\n    print(fs.name)\n```\n\n## Directory Operations\n\n```python\nfile_system_client = service_client.get_file_system_client(\"myfilesystem\")\n\n# Create directory\ndirectory_client = file_system_client.create_directory(\"mydir\")\n\n# Create nested directories\ndirectory_client = file_system_client.create_directory(\"path\u002Fto\u002Fnested\u002Fdir\")\n\n# Get directory client\ndirectory_client = file_system_client.get_directory_client(\"mydir\")\n\n# Delete directory\ndirectory_client.delete_directory()\n\n# Rename\u002Fmove directory\ndirectory_client.rename_directory(new_name=\"myfilesystem\u002Fnewname\")\n```\n\n## File Operations\n\n### Upload File\n\n```python\n# Get file client\nfile_client = file_system_client.get_file_client(\"path\u002Fto\u002Ffile.txt\")\n\n# Upload from local file\nwith open(\"local-file.txt\", \"rb\") as data:\n    file_client.upload_data(data, overwrite=True)\n\n# Upload bytes\nfile_client.upload_data(b\"Hello, Data Lake!\", overwrite=True)\n\n# Append data (for large files)\nfile_client.append_data(data=b\"chunk1\", offset=0, length=6)\nfile_client.append_data(data=b\"chunk2\", offset=6, length=6)\nfile_client.flush_data(12)  # Commit the data\n```\n\n### Download File\n\n```python\nfile_client = file_system_client.get_file_client(\"path\u002Fto\u002Ffile.txt\")\n\n# Download all content\ndownload = file_client.download_file()\ncontent = download.readall()\n\n# Download to file\nwith open(\"downloaded.txt\", \"wb\") as f:\n    download = file_client.download_file()\n    download.readinto(f)\n\n# Download range\ndownload = file_client.download_file(offset=0, length=100)\n```\n\n### Delete File\n\n```python\nfile_client.delete_file()\n```\n\n## List Contents\n\n```python\n# List paths (files and directories)\nfor path in file_system_client.get_paths():\n    print(f\"{'DIR' if path.is_directory else 'FILE'}: {path.name}\")\n\n# List paths in directory\nfor path in file_system_client.get_paths(path=\"mydir\"):\n    print(path.name)\n\n# Recursive listing\nfor path in file_system_client.get_paths(path=\"mydir\", recursive=True):\n    print(path.name)\n```\n\n## File\u002FDirectory Properties\n\n```python\n# Get properties\nproperties = file_client.get_file_properties()\nprint(f\"Size: {properties.size}\")\nprint(f\"Last modified: {properties.last_modified}\")\n\n# Set metadata\nfile_client.set_metadata(metadata={\"processed\": \"true\"})\n```\n\n## Access Control (ACL)\n\n```python\n# Get ACL\nacl = directory_client.get_access_control()\nprint(f\"Owner: {acl['owner']}\")\nprint(f\"Permissions: {acl['permissions']}\")\n\n# Set ACL\ndirectory_client.set_access_control(\n    owner=\"user-id\",\n    permissions=\"rwxr-x---\"\n)\n\n# Update ACL entries\nfrom azure.storage.filedatalake import AccessControlChangeResult\ndirectory_client.update_access_control_recursive(\n    acl=\"user:user-id:rwx\"\n)\n```\n\n## Async Client\n\n```python\nfrom azure.storage.filedatalake.aio import DataLakeServiceClient\nfrom azure.identity.aio import DefaultAzureCredential\n\nasync def datalake_operations():\n    async with DefaultAzureCredential() as credential:\n        async with DataLakeServiceClient(\n            account_url=\"https:\u002F\u002F\u003Caccount>.dfs.core.windows.net\",\n            credential=credential\n        ) as service_client:\n            file_system_client = service_client.get_file_system_client(\"myfilesystem\")\n            file_client = file_system_client.get_file_client(\"test.txt\")\n            \n            await file_client.upload_data(b\"async content\", overwrite=True)\n            \n            download = await file_client.download_file()\n            content = await download.readall()\n\nimport asyncio\nasyncio.run(datalake_operations())\n```\n\n## Best Practices\n\n1. **Pick sync OR async and stay consistent.** Do not mix `azure.storage.filedatalake` sync clients with `azure.storage.filedatalake.aio` async clients in the same call path. Choose one mode per module.\n2. **Always use context managers for clients and async credentials.** Wrap every client in `with DataLakeServiceClient(...) as client:` (sync) or `async with DataLakeServiceClient(...) as client:` (async). For async `DefaultAzureCredential` from `azure.identity.aio`, also use `async with credential:` so tokens and transports are cleaned up.\n3. **Use `DefaultAzureCredential`** for portable auth across local dev and Azure (avoid connection strings \u002F API keys when possible).\n4. **Use hierarchical namespace** for file system semantics\n5. **Use `append_data` + `flush_data`** for large file uploads\n6. **Set ACLs at directory level** and inherit to children\n7. **Use async client** for high-throughput scenarios\n8. **Use `get_paths` with `recursive=True`** for full directory listing\n9. **Set metadata** for custom file attributes\n10. **Consider Blob API** for simple object storage use cases\n\n## Reference Files\n\n| File | Contents |\n|------|----------|\n| [references\u002Fcapabilities.md](references\u002Fcapabilities.md) | Additional non-hero capabilities, operation-group coverage, and production checklists. |\n| [references\u002Fnon-hero-scenarios.md](references\u002Fnon-hero-scenarios.md) | Dedicated non-hero examples for secondary\u002Fadvanced scenarios. |\n",{"name":5,"license":15,"metadata":48,"description":51},{"author":12,"package":49,"version":50},"azure-storage-file-datalake","1.0.0","Azure Data Lake Storage Gen2 SDK for Python. 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Use when building text-to-speech features, audio narrative generation, podcast creation from content, or integrating with Azure OpenAI Realtime API for real audio output. Covers full-stack implementation from React frontend to Python FastAPI backend with WebSocket streaming.","https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fskills\u002Fblob\u002Fmain\u002F.github\u002Fskills\u002Fpodcast-generation\u002FSKILL.md",[120,123,126,129],{"categoryNo":121,"categoryName":122,"taxonomyType":96,"taxonomyTypeDesc":97},"01JBSEEDCAT000000000000009","前端开发",{"categoryNo":124,"categoryName":125,"taxonomyType":96,"taxonomyTypeDesc":97},"01JBSEEDCAT000000000000010","后端与接口",{"categoryNo":127,"categoryName":128,"taxonomyType":96,"taxonomyTypeDesc":97},"01JBSEEDCAT000000000000016","图像与多媒体",{"categoryNo":94,"categoryName":95,"taxonomyType":96,"taxonomyTypeDesc":97},[131,132,133,134,42,135,136,26,137,138,139,140,141,142,143,144,145,146,147,148,149,112,150],"podcast generation","podcast","generation","frontend","react","realtime","azure openai","generate","streaming","api","Audio","stack","text","model","fastapi","creation","python fastapi","narrative","features","fastapi backend",{"skillNo":152,"name":153,"nameZh":6,"description":154,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":155,"categories":156,"keywords":158,"publishedAt":43},"01M69B4CYPM5SESY5ZWEFDXEQZ","microsoft-docs","Understand Microsoft technologies by querying official documentation. Use whenever the user asks how something works, wants tutorials, needs configuration options, limits, quotas, or best practices for any Microsoft technology (Azure, .NET, M365, Windows, Power Platform, etc.)—even if they don't mention \"docs.\" If the question is about understanding a concept rather than writing code, this is the right skill.","https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fskills\u002Fblob\u002Fmain\u002F.github\u002Fskills\u002Fmicrosoft-docs\u002FSKILL.md",[157],{"categoryNo":94,"categoryName":95,"taxonomyType":96,"taxonomyTypeDesc":97},[159,9,160,161,162,163,164,165,166,167,168,26,169,170,171,36,172,65,173,174,175,176,177,32],"docs","microsoft docs","MCP","writing","cli","mcp server","windows","power platform","official","documentation","learn","best practices","question","power","back","technology","platform","learn mcp","concept",{"skillNo":179,"name":180,"nameZh":6,"description":181,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":182,"categories":183,"keywords":185,"publishedAt":43},"01M69B49C3YPD1ZJ3NC0HPCY58","mcp-builder","Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP), Node\u002FTypeScript (MCP SDK), or C#\u002F.NET (Microsoft MCP SDK).","https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fskills\u002Fblob\u002Fmain\u002F.github\u002Fskills\u002Fmcp-builder\u002FSKILL.md",[184],{"categoryNo":94,"categoryName":95,"taxonomyType":96,"taxonomyTypeDesc":97},[161,186,187,188,42,189,41,190,9,191,192,144,193,194,107,36,195,196,197,109,32,112],"mcp builder","builder","typescript","llms","model context protocol","fastmcp","Tools","node","context","integrate","mcp sdk","building mcp servers",{"skillNo":199,"name":200,"nameZh":6,"description":201,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":202,"categories":203,"keywords":212,"publishedAt":43},"01M69B467A7CDMFQ0T6Q0ZA12Q","kql","KQL language expertise for writing correct, efficient Kusto Query Language queries. Covers syntax gotchas, join patterns, dynamic types, datetime pitfalls, regex patterns, serialization, memory management, result-size discipline, and advanced functions (geo, vector, graph). USE THIS SKILL whenever writing, debugging, or reviewing KQL queries — even simple ones — because the gotchas section prevents the most common errors that waste tool calls and cause expensive retry cascades. Trigger on: KQL, Kusto, ADX, Azure Data Explorer, Fabric Real-Time Intelligence, EventHouse, Log Analytics, log analysis, data exploration, time series, anomaly detection, summarize, where clause, join, extend, project, let statement, parse operator, extract function, any mention of pipe-forward query syntax.","https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fskills\u002Fblob\u002Fmain\u002F.github\u002Fskills\u002Fkql\u002FSKILL.md",[204,207,208,209],{"categoryNo":205,"categoryName":206,"taxonomyType":96,"taxonomyTypeDesc":97},"01JBSEEDCAT000000000000018","写作与文案",{"categoryNo":94,"categoryName":95,"taxonomyType":96,"taxonomyTypeDesc":97},{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":210,"categoryName":211,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000036","内容创作者",[200,162,213,214,40,26,215,216,217,218,219,220,221,222,223,224,225,226,227,32,228,229,230],"summarize","memory","vector","time series","tool","discipline","log","geo","exploration","pipe","time","project","regex","join","datetime","section","anomaly","parse",{"skillNo":232,"name":233,"nameZh":6,"description":234,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":235,"categories":236,"keywords":237,"publishedAt":43},"01M69B44HJQ7897EZ7NE7DWQX3","github-issue-creator","Convert raw notes, error logs, voice dictation, or screenshots into crisp GitHub-flavored markdown issue reports. Use when the user pastes bug info, error messages, or informal descriptions and wants a structured GitHub issue. Supports images\u002FGIFs for visual evidence.","https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fskills\u002Fblob\u002Fmain\u002F.github\u002Fskills\u002Fgithub-issue-creator\u002FSKILL.md",[],[238,239,240,241,100,242,243,244,245,246,247,248,36,249,250,251,252,253,254,32,112],"github","github issue creator","github issue","issue","issue creator","screenshots","notes","logs","error messages","messages","convert","evidence","reports","images","info","visual","error"]