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Use for document CRUD, queries, containers, and globally distributed data.\nTriggers: \"cosmos db\", \"CosmosClient\", \"container\", \"document\", \"NoSQL\", \"partition key\".","microsoft\u002Fskills","microsoft","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F6154722?v=4","01M698VYDXZ6JW5WH3CRV650R8","Microsoft","01M69AJYYW4E1RMSYCQDJ4FJSH",3199,"MIT","https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fskills\u002Fblob\u002Fmain\u002F.github\u002Fplugins\u002Fazure-sdk-python\u002Fskills\u002Fazure-cosmos-py\u002FSKILL.md",[18,23],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000010","后端与接口","SCENARIO","使用场景",{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发",[27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,9,45,46],"cosmos","azure","azure cosmos py","api","for","triggers","db","document","queries","container","use","partition","crud","python","nosql","data","azure cosmos db","distributed","sdk","containers","2026-11-10 10:12:30",false,"---\nname: azure-cosmos-py\ndescription: |\n  Azure Cosmos DB SDK for Python (NoSQL API). Use for document CRUD, queries, containers, and globally distributed data.\n  Triggers: \"cosmos db\", \"CosmosClient\", \"container\", \"document\", \"NoSQL\", \"partition key\".\nlicense: MIT\nmetadata:\n  author: Microsoft\n  version: \"1.0.0\"\n  package: azure-cosmos\n---\n\n# Azure Cosmos DB SDK for Python\n\nClient library for Azure Cosmos DB NoSQL API — globally distributed, multi-model database.\n\n## Installation\n\n```bash\npip install azure-cosmos azure-identity\n```\n\n## Environment Variables\n\n```bash\nCOSMOS_ENDPOINT=https:\u002F\u002F\u003Caccount>.documents.azure.com:443\u002F  # Required for all auth methods\nCOSMOS_DATABASE=mydb  # Required for all auth methods\nCOSMOS_CONTAINER=mycontainer  # 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\nimport os\nfrom azure.identity import DefaultAzureCredential, ManagedIdentityCredential\nfrom azure.cosmos import CosmosClient\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()\n\nendpoint = \"https:\u002F\u002F\u003Caccount>.documents.azure.com:443\u002F\"\n\nwith CosmosClient(url=endpoint, credential=credential) as client:\n    # Use client here (see following sections for operations)\n    ...\n```\n\n## Client Hierarchy\n\n| Client | Purpose | Get From |\n|--------|---------|----------|\n| `CosmosClient` | Account-level operations | Direct instantiation |\n| `DatabaseProxy` | Database operations | `client.get_database_client()` |\n| `ContainerProxy` | Container\u002Fitem operations | `database.get_container_client()` |\n\n## Core Workflow\n\n### Setup Database and Container\n\n```python\n# Get or create database\ndatabase = client.create_database_if_not_exists(id=\"mydb\")\n\n# Get or create container with partition key\ncontainer = database.create_container_if_not_exists(\n    id=\"mycontainer\",\n    partition_key=PartitionKey(path=\"\u002Fcategory\")\n)\n\n# Get existing\ndatabase = client.get_database_client(\"mydb\")\ncontainer = database.get_container_client(\"mycontainer\")\n```\n\n### Create Item\n\n```python\nitem = {\n    \"id\": \"item-001\",           # Required: unique within partition\n    \"category\": \"electronics\",   # Partition key value\n    \"name\": \"Laptop\",\n    \"price\": 999.99,\n    \"tags\": [\"computer\", \"portable\"]\n}\n\ncreated = container.create_item(body=item)\nprint(f\"Created: {created['id']}\")\n```\n\n### Read Item\n\n```python\n# Read requires id AND partition key\nitem = container.read_item(\n    item=\"item-001\",\n    partition_key=\"electronics\"\n)\nprint(f\"Name: {item['name']}\")\n```\n\n### Update Item (Replace)\n\n```python\nitem = container.read_item(item=\"item-001\", partition_key=\"electronics\")\nitem[\"price\"] = 899.99\nitem[\"on_sale\"] = True\n\nupdated = container.replace_item(item=item[\"id\"], body=item)\n```\n\n### Upsert Item\n\n```python\n# Create if not exists, replace if exists\nitem = {\n    \"id\": \"item-002\",\n    \"category\": \"electronics\",\n    \"name\": \"Tablet\",\n    \"price\": 499.99\n}\n\nresult = container.upsert_item(body=item)\n```\n\n### Delete Item\n\n```python\ncontainer.delete_item(\n    item=\"item-001\",\n    partition_key=\"electronics\"\n)\n```\n\n## Queries\n\n### Basic Query\n\n```python\n# Query within a partition (efficient)\nquery = \"SELECT * FROM c WHERE c.price \u003C @max_price\"\nitems = container.query_items(\n    query=query,\n    parameters=[{\"name\": \"@max_price\", \"value\": 500}],\n    partition_key=\"electronics\"\n)\n\nfor item in items:\n    print(f\"{item['name']}: ${item['price']}\")\n```\n\n### Cross-Partition Query\n\n```python\n# Cross-partition (more expensive, use sparingly)\nquery = \"SELECT * FROM c WHERE c.price \u003C @max_price\"\nitems = container.query_items(\n    query=query,\n    parameters=[{\"name\": \"@max_price\", \"value\": 500}],\n    enable_cross_partition_query=True\n)\n\nfor item in items:\n    print(item)\n```\n\n### Query with Projection\n\n```python\nquery = \"SELECT c.id, c.name, c.price FROM c WHERE c.category = @category\"\nitems = container.query_items(\n    query=query,\n    parameters=[{\"name\": \"@category\", \"value\": \"electronics\"}],\n    partition_key=\"electronics\"\n)\n```\n\n### Read All Items\n\n```python\n# Read all in a partition\nitems = container.read_all_items()  # Cross-partition\n# Or with partition key\nitems = container.query_items(\n    query=\"SELECT * FROM c\",\n    partition_key=\"electronics\"\n)\n```\n\n## Partition Keys\n\n**Critical**: Always include partition key for efficient operations.\n\n```python\nfrom azure.cosmos import PartitionKey\n\n# Single partition key\ncontainer = database.create_container_if_not_exists(\n    id=\"orders\",\n    partition_key=PartitionKey(path=\"\u002Fcustomer_id\")\n)\n\n# Hierarchical partition key (preview)\ncontainer = database.create_container_if_not_exists(\n    id=\"events\",\n    partition_key=PartitionKey(path=[\"\u002Ftenant_id\", \"\u002Fuser_id\"])\n)\n```\n\n## Throughput\n\n```python\n# Create container with provisioned throughput\ncontainer = database.create_container_if_not_exists(\n    id=\"mycontainer\",\n    partition_key=PartitionKey(path=\"\u002Fpk\"),\n    offer_throughput=400  # RU\u002Fs\n)\n\n# Read current throughput\noffer = container.read_offer()\nprint(f\"Throughput: {offer.offer_throughput} RU\u002Fs\")\n\n# Update throughput\ncontainer.replace_throughput(throughput=1000)\n```\n\n## Async Client\n\n```python\nfrom azure.cosmos.aio import CosmosClient\nfrom azure.identity.aio import DefaultAzureCredential\n\nasync def cosmos_operations():\n    async with DefaultAzureCredential() as credential:\n        async with CosmosClient(endpoint, credential=credential) as client:\n            database = client.get_database_client(\"mydb\")\n            container = database.get_container_client(\"mycontainer\")\n            \n            # Create\n            await container.create_item(body={\"id\": \"1\", \"pk\": \"test\"})\n            \n            # Read\n            item = await container.read_item(item=\"1\", partition_key=\"test\")\n            \n            # Query\n            async for item in container.query_items(\n                query=\"SELECT * FROM c\",\n                partition_key=\"test\"\n            ):\n                print(item)\n\nimport asyncio\nasyncio.run(cosmos_operations())\n```\n\n## Error Handling\n\n```python\nfrom azure.cosmos.exceptions import CosmosHttpResponseError\n\ntry:\n    item = container.read_item(item=\"nonexistent\", partition_key=\"pk\")\nexcept CosmosHttpResponseError as e:\n    if e.status_code == 404:\n        print(\"Item not found\")\n    elif e.status_code == 429:\n        print(f\"Rate limited. Retry after: {e.headers.get('x-ms-retry-after-ms')}ms\")\n    else:\n        raise\n```\n\n## Best Practices\n\n1. **Pick sync OR async and stay consistent.** Do not mix `azure.cosmos` sync clients with `azure.cosmos.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 CosmosClient(...) as client:` (sync) or `async with CosmosClient(...) 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. **Always specify partition key** for point reads and queries\n5. **Use parameterized queries** to prevent injection and improve caching\n6. **Avoid cross-partition queries** when possible\n7. **Use `upsert_item`** for idempotent writes\n8. **Use async client** for high-throughput scenarios\n9. **Design partition key** for even data distribution\n10. **Use `read_item`** instead of query for single document retrieval\n\n## Reference Files\n\n| File | Contents |\n|------|----------|\n| [references\u002Fpartitioning.md](references\u002Fpartitioning.md) | Partition key strategies, hierarchical keys, hot partition detection and mitigation |\n| [references\u002Fquery-patterns.md](references\u002Fquery-patterns.md) | Query optimization, aggregations, pagination, transactions, change feed |\n| [scripts\u002Fsetup_cosmos_container.py](scripts\u002Fsetup_cosmos_container.py) | CLI tool for creating containers with partitioning, throughput, and indexing |\n","# Azure Cosmos DB SDK for Python\n\nClient library for Azure Cosmos DB NoSQL API — globally distributed, multi-model database.\n\n## Installation\n\n```bash\npip install azure-cosmos azure-identity\n```\n\n## Environment Variables\n\n```bash\nCOSMOS_ENDPOINT=https:\u002F\u002F\u003Caccount>.documents.azure.com:443\u002F  # Required for all auth methods\nCOSMOS_DATABASE=mydb  # Required for all auth methods\nCOSMOS_CONTAINER=mycontainer  # 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\nimport os\nfrom azure.identity import DefaultAzureCredential, ManagedIdentityCredential\nfrom azure.cosmos import CosmosClient\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()\n\nendpoint = \"https:\u002F\u002F\u003Caccount>.documents.azure.com:443\u002F\"\n\nwith CosmosClient(url=endpoint, credential=credential) as client:\n    # Use client here (see following sections for operations)\n    ...\n```\n\n## Client Hierarchy\n\n| Client | Purpose | Get From |\n|--------|---------|----------|\n| `CosmosClient` | Account-level operations | Direct instantiation |\n| `DatabaseProxy` | Database operations | `client.get_database_client()` |\n| `ContainerProxy` | Container\u002Fitem operations | `database.get_container_client()` |\n\n## Core Workflow\n\n### Setup Database and Container\n\n```python\n# Get or create database\ndatabase = client.create_database_if_not_exists(id=\"mydb\")\n\n# Get or create container with partition key\ncontainer = database.create_container_if_not_exists(\n    id=\"mycontainer\",\n    partition_key=PartitionKey(path=\"\u002Fcategory\")\n)\n\n# Get existing\ndatabase = client.get_database_client(\"mydb\")\ncontainer = database.get_container_client(\"mycontainer\")\n```\n\n### Create Item\n\n```python\nitem = {\n    \"id\": \"item-001\",           # Required: unique within partition\n    \"category\": \"electronics\",   # Partition key value\n    \"name\": \"Laptop\",\n    \"price\": 999.99,\n    \"tags\": [\"computer\", \"portable\"]\n}\n\ncreated = container.create_item(body=item)\nprint(f\"Created: {created['id']}\")\n```\n\n### Read Item\n\n```python\n# Read requires id AND partition key\nitem = container.read_item(\n    item=\"item-001\",\n    partition_key=\"electronics\"\n)\nprint(f\"Name: {item['name']}\")\n```\n\n### Update Item (Replace)\n\n```python\nitem = container.read_item(item=\"item-001\", partition_key=\"electronics\")\nitem[\"price\"] = 899.99\nitem[\"on_sale\"] = True\n\nupdated = container.replace_item(item=item[\"id\"], body=item)\n```\n\n### Upsert Item\n\n```python\n# Create if not exists, replace if exists\nitem = {\n    \"id\": \"item-002\",\n    \"category\": \"electronics\",\n    \"name\": \"Tablet\",\n    \"price\": 499.99\n}\n\nresult = container.upsert_item(body=item)\n```\n\n### Delete Item\n\n```python\ncontainer.delete_item(\n    item=\"item-001\",\n    partition_key=\"electronics\"\n)\n```\n\n## Queries\n\n### Basic Query\n\n```python\n# Query within a partition (efficient)\nquery = \"SELECT * FROM c WHERE c.price \u003C @max_price\"\nitems = container.query_items(\n    query=query,\n    parameters=[{\"name\": \"@max_price\", \"value\": 500}],\n    partition_key=\"electronics\"\n)\n\nfor item in items:\n    print(f\"{item['name']}: ${item['price']}\")\n```\n\n### Cross-Partition Query\n\n```python\n# Cross-partition (more expensive, use sparingly)\nquery = \"SELECT * FROM c WHERE c.price \u003C @max_price\"\nitems = container.query_items(\n    query=query,\n    parameters=[{\"name\": \"@max_price\", \"value\": 500}],\n    enable_cross_partition_query=True\n)\n\nfor item in items:\n    print(item)\n```\n\n### Query with Projection\n\n```python\nquery = \"SELECT c.id, c.name, c.price FROM c WHERE c.category = @category\"\nitems = container.query_items(\n    query=query,\n    parameters=[{\"name\": \"@category\", \"value\": \"electronics\"}],\n    partition_key=\"electronics\"\n)\n```\n\n### Read All Items\n\n```python\n# Read all in a partition\nitems = container.read_all_items()  # Cross-partition\n# Or with partition key\nitems = container.query_items(\n    query=\"SELECT * FROM c\",\n    partition_key=\"electronics\"\n)\n```\n\n## Partition Keys\n\n**Critical**: Always include partition key for efficient operations.\n\n```python\nfrom azure.cosmos import PartitionKey\n\n# Single partition key\ncontainer = database.create_container_if_not_exists(\n    id=\"orders\",\n    partition_key=PartitionKey(path=\"\u002Fcustomer_id\")\n)\n\n# Hierarchical partition key (preview)\ncontainer = database.create_container_if_not_exists(\n    id=\"events\",\n    partition_key=PartitionKey(path=[\"\u002Ftenant_id\", \"\u002Fuser_id\"])\n)\n```\n\n## Throughput\n\n```python\n# Create container with provisioned throughput\ncontainer = database.create_container_if_not_exists(\n    id=\"mycontainer\",\n    partition_key=PartitionKey(path=\"\u002Fpk\"),\n    offer_throughput=400  # RU\u002Fs\n)\n\n# Read current throughput\noffer = container.read_offer()\nprint(f\"Throughput: {offer.offer_throughput} RU\u002Fs\")\n\n# Update throughput\ncontainer.replace_throughput(throughput=1000)\n```\n\n## Async Client\n\n```python\nfrom azure.cosmos.aio import CosmosClient\nfrom azure.identity.aio import DefaultAzureCredential\n\nasync def cosmos_operations():\n    async with DefaultAzureCredential() as credential:\n        async with CosmosClient(endpoint, credential=credential) as client:\n            database = client.get_database_client(\"mydb\")\n            container = database.get_container_client(\"mycontainer\")\n            \n            # Create\n            await container.create_item(body={\"id\": \"1\", \"pk\": \"test\"})\n            \n            # Read\n            item = await container.read_item(item=\"1\", partition_key=\"test\")\n            \n            # Query\n            async for item in container.query_items(\n                query=\"SELECT * FROM c\",\n                partition_key=\"test\"\n            ):\n                print(item)\n\nimport asyncio\nasyncio.run(cosmos_operations())\n```\n\n## Error Handling\n\n```python\nfrom azure.cosmos.exceptions import CosmosHttpResponseError\n\ntry:\n    item = container.read_item(item=\"nonexistent\", partition_key=\"pk\")\nexcept CosmosHttpResponseError as e:\n    if e.status_code == 404:\n        print(\"Item not found\")\n    elif e.status_code == 429:\n        print(f\"Rate limited. Retry after: {e.headers.get('x-ms-retry-after-ms')}ms\")\n    else:\n        raise\n```\n\n## Best Practices\n\n1. **Pick sync OR async and stay consistent.** Do not mix `azure.cosmos` sync clients with `azure.cosmos.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 CosmosClient(...) as client:` (sync) or `async with CosmosClient(...) 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. **Always specify partition key** for point reads and queries\n5. **Use parameterized queries** to prevent injection and improve caching\n6. **Avoid cross-partition queries** when possible\n7. **Use `upsert_item`** for idempotent writes\n8. **Use async client** for high-throughput scenarios\n9. **Design partition key** for even data distribution\n10. **Use `read_item`** instead of query for single document retrieval\n\n## Reference Files\n\n| File | Contents |\n|------|----------|\n| [references\u002Fpartitioning.md](references\u002Fpartitioning.md) | Partition key strategies, hierarchical keys, hot partition detection and mitigation |\n| [references\u002Fquery-patterns.md](references\u002Fquery-patterns.md) | Query optimization, aggregations, pagination, transactions, change feed |\n| [scripts\u002Fsetup_cosmos_container.py](scripts\u002Fsetup_cosmos_container.py) | CLI tool for creating containers with partitioning, throughput, and indexing |\n",{"name":5,"license":15,"metadata":52,"description":55},{"author":12,"package":53,"version":54},"azure-cosmos","1.0.0","Azure Cosmos DB SDK for Python (NoSQL API). 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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",[651],{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},[628,653,654,655,40,656,45,657,9,658,659,611,660,661,577,37,662,663,664,579,31,582],"mcp builder","builder","typescript","llms","model context protocol","fastmcp","Tools","node","context","integrate","mcp sdk","building mcp servers",{"skillNo":666,"name":667,"nameZh":6,"description":668,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":669,"categories":670,"keywords":683,"publishedAt":47},"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",[671,674,675,680],{"categoryNo":672,"categoryName":673,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000018","写作与文案",{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":676,"categoryName":677,"taxonomyType":678,"taxonomyTypeDesc":679},"01JBSEEDCAT000000000000033","数据分析师","PROFESSION","适用职业",{"categoryNo":681,"categoryName":682,"taxonomyType":678,"taxonomyTypeDesc":679},"01JBSEEDCAT000000000000036","内容创作者",[667,629,684,685,686,28,687,688,689,690,691,692,693,694,695,696,697,698,699,31,700,701,702],"summarize","memory","analytics","vector","time series","tool","discipline","log","geo","exploration","pipe","time","project","regex","join","datetime","section","anomaly","parse",{"skillNo":704,"name":705,"nameZh":6,"description":706,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":707,"categories":708,"keywords":709,"publishedAt":47},"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",[],[710,711,712,713,570,714,715,716,717,718,719,720,37,721,722,723,724,725,726,31,582],"github","github issue creator","github issue","issue","issue creator","screenshots","notes","logs","error messages","messages","convert","evidence","reports","images","info","visual","error"]