[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M715EDH7WH1FWD9M0HA258SE":3,"skill-same:01M715EDH7WH1FWD9M0HA258SE":63},{"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":37,"linkOnly":38,"markdownContent":39,"markdownBody":40,"frontMatter":41,"refName":43,"commitSha":44,"skillDirectory":45,"forksCount":14,"repositoryHtmlUrl":46,"repositoryHomepageUrl":6,"ownerHtmlUrl":47,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":48,"install":49,"resources":62},"01M715EDH7WH1FWD9M0HA258SE","azure-monitor-opentelemetry-py",null,"Azure Monitor OpenTelemetry Distro for Python. Use for one-line Application Insights setup with auto-instrumentation.","sapsapshen\u002Fai-memory-router","sapsapshen","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F20347959?v=4","01M6XDQEF1DP50DKF37H81J3J5","shenmian","01M6XDQEJPE41Y3DT2763X8ZJN",0,"MIT","https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router\u002Fblob\u002Fmain\u002Fskills-store\u002Fcursor\u002Fazure-monitor-opentelemetry-py\u002FSKILL.md",[],[19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36],"monitor","azure","azure monitor","azure monitor opentelemetry py","OpenTelemetry","application","setup","instrumentation","line","2026","with","unknown","use","auto","insights","python","for","community","2026-11-10 10:12:30",false,"---\nname: azure-monitor-opentelemetry-py\ndescription: Azure Monitor OpenTelemetry Distro for Python. Use for one-line Application Insights setup with auto-instrumentation.\nrisk: unknown\nsource: community\ndate_added: '2026-02-27'\n---\n\n# Azure Monitor OpenTelemetry Distro for Python\n\nOne-line setup for Application Insights with OpenTelemetry auto-instrumentation.\n\n## Installation\n\n```bash\npip install azure-monitor-opentelemetry\n```\n\n## Environment Variables\n\n```bash\nAPPLICATIONINSIGHTS_CONNECTION_STRING=InstrumentationKey=xxx;IngestionEndpoint=https:\u002F\u002Fxxx.in.applicationinsights.azure.com\u002F\n```\n\n## Quick Start\n\n```python\nfrom azure.monitor.opentelemetry import configure_azure_monitor\n\n# One-line setup - reads connection string from environment\nconfigure_azure_monitor()\n\n# Your application code...\n```\n\n## Explicit Configuration\n\n```python\nfrom azure.monitor.opentelemetry import configure_azure_monitor\n\nconfigure_azure_monitor(\n    connection_string=\"InstrumentationKey=xxx;IngestionEndpoint=https:\u002F\u002Fxxx.in.applicationinsights.azure.com\u002F\"\n)\n```\n\n## With Flask\n\n```python\nfrom flask import Flask\nfrom azure.monitor.opentelemetry import configure_azure_monitor\n\nconfigure_azure_monitor()\n\napp = Flask(__name__)\n\n@app.route(\"\u002F\")\ndef hello():\n    return \"Hello, World!\"\n\nif __name__ == \"__main__\":\n    app.run()\n```\n\n## With Django\n\n```python\n# settings.py\nfrom azure.monitor.opentelemetry import configure_azure_monitor\n\nconfigure_azure_monitor()\n\n# Django settings...\n```\n\n## With FastAPI\n\n```python\nfrom fastapi import FastAPI\nfrom azure.monitor.opentelemetry import configure_azure_monitor\n\nconfigure_azure_monitor()\n\napp = FastAPI()\n\n@app.get(\"\u002F\")\nasync def root():\n    return {\"message\": \"Hello World\"}\n```\n\n## Custom Traces\n\n```python\nfrom opentelemetry import trace\nfrom azure.monitor.opentelemetry import configure_azure_monitor\n\nconfigure_azure_monitor()\n\ntracer = trace.get_tracer(__name__)\n\nwith tracer.start_as_current_span(\"my-operation\") as span:\n    span.set_attribute(\"custom.attribute\", \"value\")\n    # Do work...\n```\n\n## Custom Metrics\n\n```python\nfrom opentelemetry import metrics\nfrom azure.monitor.opentelemetry import configure_azure_monitor\n\nconfigure_azure_monitor()\n\nmeter = metrics.get_meter(__name__)\ncounter = meter.create_counter(\"my_counter\")\n\ncounter.add(1, {\"dimension\": \"value\"})\n```\n\n## Custom Logs\n\n```python\nimport logging\nfrom azure.monitor.opentelemetry import configure_azure_monitor\n\nconfigure_azure_monitor()\n\nlogger = logging.getLogger(__name__)\nlogger.setLevel(logging.INFO)\n\nlogger.info(\"This will appear in Application Insights\")\nlogger.error(\"Errors are captured too\", exc_info=True)\n```\n\n## Sampling\n\n```python\nfrom azure.monitor.opentelemetry import configure_azure_monitor\n\n# Sample 10% of requests\nconfigure_azure_monitor(\n    sampling_ratio=0.1\n)\n```\n\n## Cloud Role Name\n\nSet cloud role name for Application Map:\n\n```python\nfrom azure.monitor.opentelemetry import configure_azure_monitor\nfrom opentelemetry.sdk.resources import Resource, SERVICE_NAME\n\nconfigure_azure_monitor(\n    resource=Resource.create({SERVICE_NAME: \"my-service-name\"})\n)\n```\n\n## Disable Specific Instrumentations\n\n```python\nfrom azure.monitor.opentelemetry import configure_azure_monitor\n\nconfigure_azure_monitor(\n    instrumentations=[\"flask\", \"requests\"]  # Only enable these\n)\n```\n\n## Enable Live Metrics\n\n```python\nfrom azure.monitor.opentelemetry import configure_azure_monitor\n\nconfigure_azure_monitor(\n    enable_live_metrics=True\n)\n```\n\n## Azure AD Authentication\n\n```python\nfrom azure.monitor.opentelemetry import configure_azure_monitor\nfrom azure.identity import DefaultAzureCredential\n\nconfigure_azure_monitor(\n    credential=DefaultAzureCredential()\n)\n```\n\n## Auto-Instrumentations Included\n\n| Library | Telemetry Type |\n|---------|---------------|\n| Flask | Traces |\n| Django | Traces |\n| FastAPI | Traces |\n| Requests | Traces |\n| urllib3 | Traces |\n| httpx | Traces |\n| aiohttp | Traces |\n| psycopg2 | Traces |\n| pymysql | Traces |\n| pymongo | Traces |\n| redis | Traces |\n\n## Configuration Options\n\n| Parameter | Description | Default |\n|-----------|-------------|---------|\n| `connection_string` | Application Insights connection string | From env var |\n| `credential` | Azure credential for AAD auth | None |\n| `sampling_ratio` | Sampling rate (0.0 to 1.0) | 1.0 |\n| `resource` | OpenTelemetry Resource | Auto-detected |\n| `instrumentations` | List of instrumentations to enable | All |\n| `enable_live_metrics` | Enable Live Metrics stream | False |\n\n## Best Practices\n\n1. **Call configure_azure_monitor() early** — Before importing instrumented libraries\n2. **Use environment variables** for connection string in production\n3. **Set cloud role name** for multi-service applications\n4. **Enable sampling** in high-traffic applications\n5. **Use structured logging** for better log analytics queries\n6. **Add custom attributes** to spans for better debugging\n7. **Use AAD authentication** for production workloads\n\n## When to Use\nThis skill is applicable to execute the workflow or actions described in the overview.\n","# Azure Monitor OpenTelemetry Distro for Python\n\nOne-line setup for Application Insights with OpenTelemetry auto-instrumentation.\n\n## Installation\n\n```bash\npip install azure-monitor-opentelemetry\n```\n\n## Environment Variables\n\n```bash\nAPPLICATIONINSIGHTS_CONNECTION_STRING=InstrumentationKey=xxx;IngestionEndpoint=https:\u002F\u002Fxxx.in.applicationinsights.azure.com\u002F\n```\n\n## Quick Start\n\n```python\nfrom azure.monitor.opentelemetry import configure_azure_monitor\n\n# One-line setup - reads connection string from environment\nconfigure_azure_monitor()\n\n# Your application code...\n```\n\n## Explicit Configuration\n\n```python\nfrom azure.monitor.opentelemetry import configure_azure_monitor\n\nconfigure_azure_monitor(\n    connection_string=\"InstrumentationKey=xxx;IngestionEndpoint=https:\u002F\u002Fxxx.in.applicationinsights.azure.com\u002F\"\n)\n```\n\n## With Flask\n\n```python\nfrom flask import Flask\nfrom azure.monitor.opentelemetry import configure_azure_monitor\n\nconfigure_azure_monitor()\n\napp = Flask(__name__)\n\n@app.route(\"\u002F\")\ndef hello():\n    return \"Hello, World!\"\n\nif __name__ == \"__main__\":\n    app.run()\n```\n\n## With Django\n\n```python\n# settings.py\nfrom azure.monitor.opentelemetry import configure_azure_monitor\n\nconfigure_azure_monitor()\n\n# Django settings...\n```\n\n## With FastAPI\n\n```python\nfrom fastapi import FastAPI\nfrom azure.monitor.opentelemetry import configure_azure_monitor\n\nconfigure_azure_monitor()\n\napp = FastAPI()\n\n@app.get(\"\u002F\")\nasync def root():\n    return {\"message\": \"Hello World\"}\n```\n\n## Custom Traces\n\n```python\nfrom opentelemetry import trace\nfrom azure.monitor.opentelemetry import configure_azure_monitor\n\nconfigure_azure_monitor()\n\ntracer = trace.get_tracer(__name__)\n\nwith tracer.start_as_current_span(\"my-operation\") as span:\n    span.set_attribute(\"custom.attribute\", \"value\")\n    # Do work...\n```\n\n## Custom Metrics\n\n```python\nfrom opentelemetry import metrics\nfrom azure.monitor.opentelemetry import configure_azure_monitor\n\nconfigure_azure_monitor()\n\nmeter = metrics.get_meter(__name__)\ncounter = meter.create_counter(\"my_counter\")\n\ncounter.add(1, {\"dimension\": \"value\"})\n```\n\n## Custom Logs\n\n```python\nimport logging\nfrom azure.monitor.opentelemetry import configure_azure_monitor\n\nconfigure_azure_monitor()\n\nlogger = logging.getLogger(__name__)\nlogger.setLevel(logging.INFO)\n\nlogger.info(\"This will appear in Application Insights\")\nlogger.error(\"Errors are captured too\", exc_info=True)\n```\n\n## Sampling\n\n```python\nfrom azure.monitor.opentelemetry import configure_azure_monitor\n\n# Sample 10% of requests\nconfigure_azure_monitor(\n    sampling_ratio=0.1\n)\n```\n\n## Cloud Role Name\n\nSet cloud role name for Application Map:\n\n```python\nfrom azure.monitor.opentelemetry import configure_azure_monitor\nfrom opentelemetry.sdk.resources import Resource, SERVICE_NAME\n\nconfigure_azure_monitor(\n    resource=Resource.create({SERVICE_NAME: \"my-service-name\"})\n)\n```\n\n## Disable Specific Instrumentations\n\n```python\nfrom azure.monitor.opentelemetry import configure_azure_monitor\n\nconfigure_azure_monitor(\n    instrumentations=[\"flask\", \"requests\"]  # Only enable these\n)\n```\n\n## Enable Live Metrics\n\n```python\nfrom azure.monitor.opentelemetry import configure_azure_monitor\n\nconfigure_azure_monitor(\n    enable_live_metrics=True\n)\n```\n\n## Azure AD Authentication\n\n```python\nfrom azure.monitor.opentelemetry import configure_azure_monitor\nfrom azure.identity import DefaultAzureCredential\n\nconfigure_azure_monitor(\n    credential=DefaultAzureCredential()\n)\n```\n\n## Auto-Instrumentations Included\n\n| Library | Telemetry Type |\n|---------|---------------|\n| Flask | Traces |\n| Django | Traces |\n| FastAPI | Traces |\n| Requests | Traces |\n| urllib3 | Traces |\n| httpx | Traces |\n| aiohttp | Traces |\n| psycopg2 | Traces |\n| pymysql | Traces |\n| pymongo | Traces |\n| redis | Traces |\n\n## Configuration Options\n\n| Parameter | Description | Default |\n|-----------|-------------|---------|\n| `connection_string` | Application Insights connection string | From env var |\n| `credential` | Azure credential for AAD auth | None |\n| `sampling_ratio` | Sampling rate (0.0 to 1.0) | 1.0 |\n| `resource` | OpenTelemetry Resource | Auto-detected |\n| `instrumentations` | List of instrumentations to enable | All |\n| `enable_live_metrics` | Enable Live Metrics stream | False |\n\n## Best Practices\n\n1. **Call configure_azure_monitor() early** — Before importing instrumented libraries\n2. **Use environment variables** for connection string in production\n3. **Set cloud role name** for multi-service applications\n4. **Enable sampling** in high-traffic applications\n5. **Use structured logging** for better log analytics queries\n6. **Add custom attributes** to spans for better debugging\n7. **Use AAD authentication** for production workloads\n\n## When to Use\nThis skill is applicable to execute the workflow or actions described in the overview.\n",{"name":5,"risk":30,"source":36,"date_added":42,"description":7},"2026-02-27","main","7a38d8e7073e61c16eda85681cb32fb68a8657a5","skills-store\u002Fcursor\u002Fazure-monitor-opentelemetry-py","https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router","https:\u002F\u002Fgithub.com\u002Fsapsapshen","2026-04-14 21:12:12",{"source":8,"skillName":5,"commands":50,"prompt":60,"zipAvailable":61},[51,54,57],{"tool":52,"command":53},"npx","npx skills add sapsapshen\u002Fai-memory-router --skill azure-monitor-opentelemetry-py",{"tool":55,"command":56},"bunx","bunx skills add sapsapshen\u002Fai-memory-router --skill azure-monitor-opentelemetry-py",{"tool":58,"command":59},"pnpm","pnpm dlx skills add sapsapshen\u002Fai-memory-router --skill azure-monitor-opentelemetry-py","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router\u002Fblob\u002Fmain\u002Fskills-store\u002Fcursor\u002Fazure-monitor-opentelemetry-py\u002FSKILL.md",true,[],[64,87,113,123,136,155],{"skillNo":65,"name":66,"nameZh":6,"description":67,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":68,"categories":69,"keywords":75,"publishedAt":37},"01M71ATQRKG48SH06FQ697T5G9","wechat-search","Search WeChat Official Account articles using OpenClaw's web search and fetch capabilities with compliance-focused design.","https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router\u002Fblob\u002Fmain\u002Fskills-store\u002Fopenclaw\u002Fwechat-search-release\u002FSKILL.md",[70],{"categoryNo":71,"categoryName":72,"taxonomyType":73,"taxonomyTypeDesc":74},"01JBSEEDCAT000000000000037","律师与法务","PROFESSION","适用职业",[76,77,78,79,80,81,82,83,84,85,86,29],"wechat search","wechat","search","capabilities","openclaw","design","web search","compliance","web","official","fetch",{"skillNo":88,"name":89,"nameZh":6,"description":90,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":91,"categories":92,"keywords":93,"publishedAt":37},"01M71ATNAVGZB35PFYM2GC5N00","trend-tap","Real-time trending topics aggregator across 7 platforms (X\u002FTwitter, Reddit, Google Trends, Hacker News, Zhihu, Bilibili, Weibo). 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