[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M71BGP4CF423WSHP4MJ6FKC2":3,"skill-same:01M71BGP4CF423WSHP4MJ6FKC2":90},{"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":18,"publishedAt":39,"linkOnly":40,"markdownContent":41,"markdownBody":42,"frontMatter":43,"refName":49,"commitSha":50,"skillDirectory":51,"forksCount":52,"repositoryHtmlUrl":53,"repositoryHomepageUrl":6,"ownerHtmlUrl":54,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":55,"install":56,"resources":69},"01M71BGP4CF423WSHP4MJ6FKC2","azure-servicebus-py",null,"Azure Service Bus SDK for Python messaging. Use for queues, topics, subscriptions, and enterprise messaging patterns.\nTriggers: \"service bus\", \"ServiceBusClient\", \"queue\", \"topic\", \"subscription\", \"message broker\".","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\u002Fskills\u002Fby-category\u002Fcloud-azure-microsoft-sdks\u002Fofficial-vendor-reference\u002Fazure-servicebus-py\u002FSKILL.md",[],[19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38],"azure","azure servicebus py","patterns","subscription","queues","topics","for","broker","triggers","service","message","azure service bus","python","subscriptions","queue","use","Enterprise","messaging","microsoft","sdk","2026-11-10 10:12:30",false,"---\nname: azure-servicebus-py\ndescription: |\n  Azure Service Bus SDK for Python messaging. Use for queues, topics, subscriptions, and enterprise messaging patterns.\n  Triggers: \"service bus\", \"ServiceBusClient\", \"queue\", \"topic\", \"subscription\", \"message broker\".\nlicense: MIT\nmetadata:\n  author: Microsoft\n  version: \"1.0.0\"\n  package: azure-servicebus\n---\n\n# Azure Service Bus SDK for Python\n\nEnterprise messaging for reliable cloud communication with queues and pub\u002Fsub topics.\n\n## Installation\n\n```bash\npip install azure-servicebus azure-identity\n```\n\n## Environment Variables\n\n```bash\nSERVICEBUS_FULLY_QUALIFIED_NAMESPACE=\u003Cnamespace>.servicebus.windows.net\nSERVICEBUS_QUEUE_NAME=myqueue\nSERVICEBUS_TOPIC_NAME=mytopic\nSERVICEBUS_SUBSCRIPTION_NAME=mysubscription\n```\n\n## Authentication\n\n```python\nfrom azure.identity import DefaultAzureCredential\nfrom azure.servicebus import ServiceBusClient\n\ncredential = DefaultAzureCredential()\nnamespace = \"\u003Cnamespace>.servicebus.windows.net\"\n\nclient = ServiceBusClient(\n    fully_qualified_namespace=namespace,\n    credential=credential\n)\n```\n\n## Client Types\n\n| Client | Purpose | Get From |\n|--------|---------|----------|\n| `ServiceBusClient` | Connection management | Direct instantiation |\n| `ServiceBusSender` | Send messages | `client.get_queue_sender()` \u002F `get_topic_sender()` |\n| `ServiceBusReceiver` | Receive messages | `client.get_queue_receiver()` \u002F `get_subscription_receiver()` |\n\n## Send Messages (Async)\n\n```python\nimport asyncio\nfrom azure.servicebus.aio import ServiceBusClient\nfrom azure.servicebus import ServiceBusMessage\nfrom azure.identity.aio import DefaultAzureCredential\n\nasync def send_messages():\n    credential = DefaultAzureCredential()\n\n    async with ServiceBusClient(\n        fully_qualified_namespace=\"\u003Cnamespace>.servicebus.windows.net\",\n        credential=credential\n    ) as client:\n        sender = client.get_queue_sender(queue_name=\"myqueue\")\n\n        async with sender:\n            # Single message\n            message = ServiceBusMessage(\"Hello, Service Bus!\")\n            await sender.send_messages(message)\n\n            # Batch of messages\n            messages = [ServiceBusMessage(f\"Message {i}\") for i in range(10)]\n            await sender.send_messages(messages)\n\n            # Message batch (for size control)\n            batch = await sender.create_message_batch()\n            for i in range(100):\n                try:\n                    batch.add_message(ServiceBusMessage(f\"Batch message {i}\"))\n                except ValueError:  # Batch full\n                    await sender.send_messages(batch)\n                    batch = await sender.create_message_batch()\n                    batch.add_message(ServiceBusMessage(f\"Batch message {i}\"))\n            await sender.send_messages(batch)\n\nasyncio.run(send_messages())\n```\n\n## Receive Messages (Async)\n\n```python\nasync def receive_messages():\n    credential = DefaultAzureCredential()\n\n    async with ServiceBusClient(\n        fully_qualified_namespace=\"\u003Cnamespace>.servicebus.windows.net\",\n        credential=credential\n    ) as client:\n        receiver = client.get_queue_receiver(queue_name=\"myqueue\")\n\n        async with receiver:\n            # Receive batch\n            messages = await receiver.receive_messages(\n                max_message_count=10,\n                max_wait_time=5  # seconds\n            )\n\n            for msg in messages:\n                print(f\"Received: {str(msg)}\")\n                await receiver.complete_message(msg)  # Remove from queue\n\nasyncio.run(receive_messages())\n```\n\n## Receive Modes\n\n| Mode | Behavior | Use Case |\n|------|----------|----------|\n| `PEEK_LOCK` (default) | Message locked, must complete\u002Fabandon | Reliable processing |\n| `RECEIVE_AND_DELETE` | Removed immediately on receive | At-most-once delivery |\n\n```python\nfrom azure.servicebus import ServiceBusReceiveMode\n\nreceiver = client.get_queue_receiver(\n    queue_name=\"myqueue\",\n    receive_mode=ServiceBusReceiveMode.RECEIVE_AND_DELETE\n)\n```\n\n## Message Settlement\n\n```python\nasync with receiver:\n    messages = await receiver.receive_messages(max_message_count=1)\n\n    for msg in messages:\n        try:\n            # Process message...\n            await receiver.complete_message(msg)  # Success - remove from queue\n        except ProcessingError:\n            await receiver.abandon_message(msg)  # Retry later\n        except PermanentError:\n            await receiver.dead_letter_message(\n                msg,\n                reason=\"ProcessingFailed\",\n                error_description=\"Could not process\"\n            )\n```\n\n| Action | Effect |\n|--------|--------|\n| `complete_message()` | Remove from queue (success) |\n| `abandon_message()` | Release lock, retry immediately |\n| `dead_letter_message()` | Move to dead-letter queue |\n| `defer_message()` | Set aside, receive by sequence number |\n\n## Topics and Subscriptions\n\n```python\n# Send to topic\nsender = client.get_topic_sender(topic_name=\"mytopic\")\nasync with sender:\n    await sender.send_messages(ServiceBusMessage(\"Topic message\"))\n\n# Receive from subscription\nreceiver = client.get_subscription_receiver(\n    topic_name=\"mytopic\",\n    subscription_name=\"mysubscription\"\n)\nasync with receiver:\n    messages = await receiver.receive_messages(max_message_count=10)\n```\n\n## Sessions (FIFO)\n\n```python\n# Send with session\nmessage = ServiceBusMessage(\"Session message\")\nmessage.session_id = \"order-123\"\nawait sender.send_messages(message)\n\n# Receive from specific session\nreceiver = client.get_queue_receiver(\n    queue_name=\"session-queue\",\n    session_id=\"order-123\"\n)\n\n# Receive from next available session\nfrom azure.servicebus import NEXT_AVAILABLE_SESSION\nreceiver = client.get_queue_receiver(\n    queue_name=\"session-queue\",\n    session_id=NEXT_AVAILABLE_SESSION\n)\n```\n\n## Scheduled Messages\n\n```python\nfrom datetime import datetime, timedelta, timezone\n\nmessage = ServiceBusMessage(\"Scheduled message\")\nscheduled_time = datetime.now(timezone.utc) + timedelta(minutes=10)\n\n# Schedule message\nsequence_number = await sender.schedule_messages(message, scheduled_time)\n\n# Cancel scheduled message\nawait sender.cancel_scheduled_messages(sequence_number)\n```\n\n## Dead-Letter Queue\n\n```python\nfrom azure.servicebus import ServiceBusSubQueue\n\n# Receive from dead-letter queue\ndlq_receiver = client.get_queue_receiver(\n    queue_name=\"myqueue\",\n    sub_queue=ServiceBusSubQueue.DEAD_LETTER\n)\n\nasync with dlq_receiver:\n    messages = await dlq_receiver.receive_messages(max_message_count=10)\n    for msg in messages:\n        print(f\"Dead-lettered: {msg.dead_letter_reason}\")\n        await dlq_receiver.complete_message(msg)\n```\n\n## Sync Client (for simple scripts)\n\n```python\nfrom azure.servicebus import ServiceBusClient, ServiceBusMessage\nfrom azure.identity import DefaultAzureCredential\n\nwith ServiceBusClient(\n    fully_qualified_namespace=\"\u003Cnamespace>.servicebus.windows.net\",\n    credential=DefaultAzureCredential()\n) as client:\n    with client.get_queue_sender(\"myqueue\") as sender:\n        sender.send_messages(ServiceBusMessage(\"Sync message\"))\n\n    with client.get_queue_receiver(\"myqueue\") as receiver:\n        for msg in receiver:\n            print(str(msg))\n            receiver.complete_message(msg)\n```\n\n## Best Practices\n\n1. **Use async client** for production workloads\n2. **Use context managers** (`async with`) for proper cleanup\n3. **Complete messages** after successful processing\n4. **Use dead-letter queue** for poison messages\n5. **Use sessions** for ordered, FIFO processing\n6. **Use message batches** for high-throughput scenarios\n7. **Set `max_wait_time`** to avoid infinite blocking\n\n## Reference Files\n\n| File | Contents |\n|------|----------|\n| [references\u002Fpatterns.md](references\u002Fpatterns.md) | Competing consumers, sessions, retry patterns, request-response, transactions |\n| [references\u002Fdead-letter.md](references\u002Fdead-letter.md) | DLQ handling, poison messages, reprocessing strategies |\n| [scripts\u002Fsetup_servicebus.py](scripts\u002Fsetup_servicebus.py) | CLI for queue\u002Ftopic\u002Fsubscription management and DLQ monitoring |\n","# Azure Service Bus SDK for Python\n\nEnterprise messaging for reliable cloud communication with queues and pub\u002Fsub topics.\n\n## Installation\n\n```bash\npip install azure-servicebus azure-identity\n```\n\n## Environment Variables\n\n```bash\nSERVICEBUS_FULLY_QUALIFIED_NAMESPACE=\u003Cnamespace>.servicebus.windows.net\nSERVICEBUS_QUEUE_NAME=myqueue\nSERVICEBUS_TOPIC_NAME=mytopic\nSERVICEBUS_SUBSCRIPTION_NAME=mysubscription\n```\n\n## Authentication\n\n```python\nfrom azure.identity import DefaultAzureCredential\nfrom azure.servicebus import ServiceBusClient\n\ncredential = DefaultAzureCredential()\nnamespace = \"\u003Cnamespace>.servicebus.windows.net\"\n\nclient = ServiceBusClient(\n    fully_qualified_namespace=namespace,\n    credential=credential\n)\n```\n\n## Client Types\n\n| Client | Purpose | Get From |\n|--------|---------|----------|\n| `ServiceBusClient` | Connection management | Direct instantiation |\n| `ServiceBusSender` | Send messages | `client.get_queue_sender()` \u002F `get_topic_sender()` |\n| `ServiceBusReceiver` | Receive messages | `client.get_queue_receiver()` \u002F `get_subscription_receiver()` |\n\n## Send Messages (Async)\n\n```python\nimport asyncio\nfrom azure.servicebus.aio import ServiceBusClient\nfrom azure.servicebus import ServiceBusMessage\nfrom azure.identity.aio import DefaultAzureCredential\n\nasync def send_messages():\n    credential = DefaultAzureCredential()\n\n    async with ServiceBusClient(\n        fully_qualified_namespace=\"\u003Cnamespace>.servicebus.windows.net\",\n        credential=credential\n    ) as client:\n        sender = client.get_queue_sender(queue_name=\"myqueue\")\n\n        async with sender:\n            # Single message\n            message = ServiceBusMessage(\"Hello, Service Bus!\")\n            await sender.send_messages(message)\n\n            # Batch of messages\n            messages = [ServiceBusMessage(f\"Message {i}\") for i in range(10)]\n            await sender.send_messages(messages)\n\n            # Message batch (for size control)\n            batch = await sender.create_message_batch()\n            for i in range(100):\n                try:\n                    batch.add_message(ServiceBusMessage(f\"Batch message {i}\"))\n                except ValueError:  # Batch full\n                    await sender.send_messages(batch)\n                    batch = await sender.create_message_batch()\n                    batch.add_message(ServiceBusMessage(f\"Batch message {i}\"))\n            await sender.send_messages(batch)\n\nasyncio.run(send_messages())\n```\n\n## Receive Messages (Async)\n\n```python\nasync def receive_messages():\n    credential = DefaultAzureCredential()\n\n    async with ServiceBusClient(\n        fully_qualified_namespace=\"\u003Cnamespace>.servicebus.windows.net\",\n        credential=credential\n    ) as client:\n        receiver = client.get_queue_receiver(queue_name=\"myqueue\")\n\n        async with receiver:\n            # Receive batch\n            messages = await receiver.receive_messages(\n                max_message_count=10,\n                max_wait_time=5  # seconds\n            )\n\n            for msg in messages:\n                print(f\"Received: {str(msg)}\")\n                await receiver.complete_message(msg)  # Remove from queue\n\nasyncio.run(receive_messages())\n```\n\n## Receive Modes\n\n| Mode | Behavior | Use Case |\n|------|----------|----------|\n| `PEEK_LOCK` (default) | Message locked, must complete\u002Fabandon | Reliable processing |\n| `RECEIVE_AND_DELETE` | Removed immediately on receive | At-most-once delivery |\n\n```python\nfrom azure.servicebus import ServiceBusReceiveMode\n\nreceiver = client.get_queue_receiver(\n    queue_name=\"myqueue\",\n    receive_mode=ServiceBusReceiveMode.RECEIVE_AND_DELETE\n)\n```\n\n## Message Settlement\n\n```python\nasync with receiver:\n    messages = await receiver.receive_messages(max_message_count=1)\n\n    for msg in messages:\n        try:\n            # Process message...\n            await receiver.complete_message(msg)  # Success - remove from queue\n        except ProcessingError:\n            await receiver.abandon_message(msg)  # Retry later\n        except PermanentError:\n            await receiver.dead_letter_message(\n                msg,\n                reason=\"ProcessingFailed\",\n                error_description=\"Could not process\"\n            )\n```\n\n| Action | Effect |\n|--------|--------|\n| `complete_message()` | Remove from queue (success) |\n| `abandon_message()` | Release lock, retry immediately |\n| `dead_letter_message()` | Move to dead-letter queue |\n| `defer_message()` | Set aside, receive by sequence number |\n\n## Topics and Subscriptions\n\n```python\n# Send to topic\nsender = client.get_topic_sender(topic_name=\"mytopic\")\nasync with sender:\n    await sender.send_messages(ServiceBusMessage(\"Topic message\"))\n\n# Receive from subscription\nreceiver = client.get_subscription_receiver(\n    topic_name=\"mytopic\",\n    subscription_name=\"mysubscription\"\n)\nasync with receiver:\n    messages = await receiver.receive_messages(max_message_count=10)\n```\n\n## Sessions (FIFO)\n\n```python\n# Send with session\nmessage = ServiceBusMessage(\"Session message\")\nmessage.session_id = \"order-123\"\nawait sender.send_messages(message)\n\n# Receive from specific session\nreceiver = client.get_queue_receiver(\n    queue_name=\"session-queue\",\n    session_id=\"order-123\"\n)\n\n# Receive from next available session\nfrom azure.servicebus import NEXT_AVAILABLE_SESSION\nreceiver = client.get_queue_receiver(\n    queue_name=\"session-queue\",\n    session_id=NEXT_AVAILABLE_SESSION\n)\n```\n\n## Scheduled Messages\n\n```python\nfrom datetime import datetime, timedelta, timezone\n\nmessage = ServiceBusMessage(\"Scheduled message\")\nscheduled_time = datetime.now(timezone.utc) + timedelta(minutes=10)\n\n# Schedule message\nsequence_number = await sender.schedule_messages(message, scheduled_time)\n\n# Cancel scheduled message\nawait sender.cancel_scheduled_messages(sequence_number)\n```\n\n## Dead-Letter Queue\n\n```python\nfrom azure.servicebus import ServiceBusSubQueue\n\n# Receive from dead-letter queue\ndlq_receiver = client.get_queue_receiver(\n    queue_name=\"myqueue\",\n    sub_queue=ServiceBusSubQueue.DEAD_LETTER\n)\n\nasync with dlq_receiver:\n    messages = await dlq_receiver.receive_messages(max_message_count=10)\n    for msg in messages:\n        print(f\"Dead-lettered: {msg.dead_letter_reason}\")\n        await dlq_receiver.complete_message(msg)\n```\n\n## Sync Client (for simple scripts)\n\n```python\nfrom azure.servicebus import ServiceBusClient, ServiceBusMessage\nfrom azure.identity import DefaultAzureCredential\n\nwith ServiceBusClient(\n    fully_qualified_namespace=\"\u003Cnamespace>.servicebus.windows.net\",\n    credential=DefaultAzureCredential()\n) as client:\n    with client.get_queue_sender(\"myqueue\") as sender:\n        sender.send_messages(ServiceBusMessage(\"Sync message\"))\n\n    with client.get_queue_receiver(\"myqueue\") as receiver:\n        for msg in receiver:\n            print(str(msg))\n            receiver.complete_message(msg)\n```\n\n## Best Practices\n\n1. **Use async client** for production workloads\n2. **Use context managers** (`async with`) for proper cleanup\n3. **Complete messages** after successful processing\n4. **Use dead-letter queue** for poison messages\n5. **Use sessions** for ordered, FIFO processing\n6. **Use message batches** for high-throughput scenarios\n7. **Set `max_wait_time`** to avoid infinite blocking\n\n## Reference Files\n\n| File | Contents |\n|------|----------|\n| [references\u002Fpatterns.md](references\u002Fpatterns.md) | Competing consumers, sessions, retry patterns, request-response, transactions |\n| [references\u002Fdead-letter.md](references\u002Fdead-letter.md) | DLQ handling, poison messages, reprocessing strategies |\n| [scripts\u002Fsetup_servicebus.py](scripts\u002Fsetup_servicebus.py) | CLI for queue\u002Ftopic\u002Fsubscription management and DLQ monitoring |\n",{"name":5,"license":15,"metadata":44,"description":48},{"author":45,"package":46,"version":47},"Microsoft","azure-servicebus","1.0.0","Azure Service Bus SDK for Python messaging. 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Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.","https:\u002F\u002Fgithub.com\u002Fstrmt7\u002Fai_skills_collection_benchmarked\u002Fblob\u002Fmain\u002Fincluded\u002Fskills\u002Fby-category\u002Ftesting-qa-benchmarking\u002Fofficial-reference\u002Fskill-creator-anthropics\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002Fstrmt7\u002Fai_skills_collection_benchmarked\u002Fblob\u002Fmain\u002Fincluded\u002Fskills\u002Fby-category\u002Ftesting-qa-benchmarking\u002Fofficial-reference\u002Fskill-creator-anthropics\u002FSKILL.md",[131],{"categoryNo":132,"categoryName":133,"taxonomyType":102,"taxonomyTypeDesc":103},"01JBSEEDCAT000000000000023","Skill与智能体开发",[135,136,137,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,25,153],"skill creator","creator","performance","improve","run evals","new","when","analysis","create","optimize","variance analysis","run","edit","benchmark","a skill","existing skill","evals","modify","accuracy",{"skillNo":155,"name":156,"nameZh":6,"description":157,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":158,"categories":159,"keywords":162,"publishedAt":39},"01M71D488XHEZVXXSXFYP8ENMH","playwright-skill","Complete browser automation with Playwright. 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",[160,161],{"categoryNo":100,"categoryName":101,"taxonomyType":102,"taxonomyTypeDesc":103},{"categoryNo":132,"categoryName":133,"taxonomyType":102,"taxonomyTypeDesc":103},[119,163,164,165,109,166,167,141,168,117,169,170,171,172,173,174,175,176,177,178],"playwright skill","browser automation","flows","auto","access","Bash","website","ux","login","scripts","read","write","node","install","network","responsive",{"skillNo":180,"name":181,"nameZh":6,"description":182,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":95,"licenseFileUrl":183,"sourceHtmlUrl":184,"categories":185,"keywords":187,"publishedAt":39},"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",[186],{"categoryNo":105,"categoryName":106,"taxonomyType":102,"taxonomyTypeDesc":103},[188,189,190,120,191,192,193,25,194,195,113,196,34,197,198,199,200,201,202,203],"builder","artifacts builder","artifacts","web artifacts builder","single-file","css","Tailwind","ui components","single","file","components","react","multi","state","routing","state management",{"skillNo":205,"name":206,"nameZh":6,"description":207,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":95,"licenseFileUrl":208,"sourceHtmlUrl":209,"categories":210,"keywords":220,"publishedAt":39},"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",[211,212,215],{"categoryNo":105,"categoryName":106,"taxonomyType":102,"taxonomyTypeDesc":103},{"categoryNo":213,"categoryName":214,"taxonomyType":102,"taxonomyTypeDesc":103},"01JBSEEDCAT000000000000015","视觉设计",{"categoryNo":216,"categoryName":217,"taxonomyType":218,"taxonomyTypeDesc":219},"01JBSEEDCAT000000000000032","设计师","PROFESSION","适用职业",[113,221,222,193,223,224,225,111,226,227,34,141,190,228,198,229,199,230,231,118],"design","frontend design","ui design","generic","aesthetics","landing","pages","code","web ui","react components","examples",{"skillNo":233,"name":234,"nameZh":6,"description":235,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":236,"categories":237,"keywords":238,"publishedAt":39},"01M71CVZ54WFBTVA7R16PFY1ZE","zarr-python","Chunked N-D arrays for cloud storage. Compressed arrays, parallel I\u002FO, S3\u002FGCS integration, NumPy\u002FDask\u002FXarray compatible, for large-scale scientific computing pipelines.","https:\u002F\u002Fgithub.com\u002Fstrmt7\u002Fai_skills_collection_benchmarked\u002Fblob\u002Fmain\u002Fincluded\u002Fskills\u002Fby-category\u002Fscience-research-data-analysis\u002Flatest-release-community\u002Fzarr-python\u002FSKILL.md",[],[239,31,240,241,242,243,244,245,246,25,247,248,249,250,251,252,253,254],"zarr python","zarr","arrays","Cloud Storage","scientific","storage","parallel","dask","numpy","gcs","s3","integration","scientific computing","cloud","scale","pipelines"]