[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6H5802J82CKQJT4FQCF0K6K":3,"skill-same:01M6H5802J82CKQJT4FQCF0K6K":94},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":15,"categories":16,"keywords":17,"publishedAt":38,"linkOnly":39,"markdownContent":40,"markdownBody":41,"frontMatter":42,"refName":47,"commitSha":48,"skillDirectory":49,"forksCount":50,"repositoryHtmlUrl":51,"repositoryHomepageUrl":6,"ownerHtmlUrl":52,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":53,"install":54,"resources":67},"01M6H5802J82CKQJT4FQCF0K6K","monitoring-error-rates",null,"Monitor and analyze application error rates to improve reliability. Use when tracking errors in applications including HTTP errors, exceptions, and database issues. Trigger with phrases like \"monitor error rates\", \"track application errors\", or \"analyze error patterns\".","micsapp\u002Fmicstec-skills","micsapp","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F82411001?v=4","01M6GWCFQ6D3PV8EHNY62NN5VW","01M6GWCFVE1PA5HG0DKC7AMFJ3",4,"MIT","https:\u002F\u002Fgithub.com\u002Fmicsapp\u002Fmicstec-skills\u002Fblob\u002Fmaster\u002Fclaude-code\u002Fplugins-plus-skills\u002Fplugins\u002Fperformance\u002Ferror-rate-monitor\u002Fskills\u002Fmonitoring-error-rates\u002FSKILL.md",[],[18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37],"error","monitoring","Monitoring Error Rates","analyze","error patterns","errors","with","trigger","io","reliability","use","http","improve","Bash","applications","logs","database","issues","code","monitor","2026-11-10 10:12:30",false,"---\nname: monitoring-error-rates\ndescription: Monitor and analyze application error rates to improve reliability. Use when tracking errors in applications including HTTP errors, exceptions, and database issues. Trigger with phrases like \"monitor error rates\", \"track application errors\", or \"analyze error patterns\".\nversion: 1.0.0\nallowed-tools: \"Read, Bash(monitoring:*), Bash(metrics:*), Bash(logs:*), Grep, Glob\"\nlicense: MIT\nauthor: Jeremy Longshore \u003Cjeremy@intentsolutions.io>\ncompatible-with: claude-code, codex, openclaw\n---\n# Error Rate Monitor\n\nMonitor and analyze application error rates across HTTP endpoints, database queries, external APIs, and background jobs with threshold-based alerting and error budget tracking.\n\n## Overview\n\nThis skill automates the process of setting up comprehensive error monitoring and alerting for various components of an application. It helps identify, track, and analyze different types of errors, enabling proactive identification and resolution of issues before they impact users.\n\n## How It Works\n\n1. **Analyze Error Sources**: Identifies potential error sources within the application architecture, including HTTP endpoints, database queries, external APIs, background jobs, and client-side code.\n2. **Define Monitoring Criteria**: Establishes specific error types and thresholds for each source, such as HTTP status codes (4xx, 5xx), exception types, query timeouts, and API response failures.\n3. **Configure Alerting**: Sets up alerts to trigger when error rates exceed defined thresholds, notifying relevant teams or individuals for investigation and remediation.\n\n## When to Use This Skill\n\nThis skill activates when you need to:\n- Set up error monitoring for a new application.\n- Analyze existing error rates and identify areas for improvement.\n- Configure alerts to be notified of critical errors in real-time.\n- Establish error budgets and track progress towards reliability goals.\n\n## Examples\n\n### Example 1: Setting up Error Monitoring for a Web Application\n\nUser request: \"Monitor errors in my web application, especially 500 errors and database connection issues.\"\n\nThe skill will:\n1. Analyze the web application's architecture to identify potential error sources (e.g., HTTP endpoints, database connections).\n2. Configure monitoring for 500 errors and database connection failures, setting appropriate thresholds and alerts.\n\n### Example 2: Analyzing Error Rates in a Background Job Processor\n\nUser request: \"Analyze error rates for my background job processor. I'm seeing a lot of failed jobs.\"\n\nThe skill will:\n1. Focus on the background job processor and identify the types of errors occurring (e.g., task failures, timeouts, resource exhaustion).\n2. Analyze the frequency and patterns of these errors to identify potential root causes.\n\n## Best Practices\n\n- **Granularity**: Monitor errors at a granular level to identify specific problem areas.\n- **Thresholding**: Set appropriate alert thresholds to avoid alert fatigue and focus on critical issues.\n- **Context**: Include relevant context in error messages and alerts to facilitate troubleshooting.\n\n## Integration\n\nThis skill can be integrated with other monitoring and alerting tools, such as Prometheus, Grafana, and PagerDuty, to provide a comprehensive view of application health and performance. It can also be used in conjunction with incident management tools to streamline incident response workflows.\n\n## Prerequisites\n\n- Access to application logs and metrics\n- Monitoring infrastructure (Prometheus, Grafana, or similar)\n- Read permissions for log files in ${CLAUDE_SKILL_DIR}\u002Flogs\u002F\n- Network access to monitoring endpoints\n\n## Instructions\n\n1. Identify error sources by analyzing application architecture\n2. Define error types and monitoring thresholds\n3. Configure alerting rules with appropriate severity levels\n4. Set up dashboards for error rate visualization\n5. Establish notification channels for critical errors\n6. Document error baselines and SLO targets\n\n## Output\n\n- Error rate metrics and trends\n- Alert configurations for critical thresholds\n- Dashboard definitions for error monitoring\n- Reports on error patterns and root causes\n- Recommendations for error reduction strategies\n\n## Error Handling\n\nIf monitoring setup fails:\n- Verify log file permissions and paths\n- Check monitoring service connectivity\n- Validate metric export configurations\n- Review alert rule syntax\n- Ensure notification channels are configured\n\n## Resources\n\n- Monitoring platform documentation (Prometheus, Grafana)\n- Application log format specifications\n- Error taxonomy and classification guides\n- SLO\u002FSLI definition best practices","# Error Rate Monitor\n\nMonitor and analyze application error rates across HTTP endpoints, database queries, external APIs, and background jobs with threshold-based alerting and error budget tracking.\n\n## Overview\n\nThis skill automates the process of setting up comprehensive error monitoring and alerting for various components of an application. It helps identify, track, and analyze different types of errors, enabling proactive identification and resolution of issues before they impact users.\n\n## How It Works\n\n1. **Analyze Error Sources**: Identifies potential error sources within the application architecture, including HTTP endpoints, database queries, external APIs, background jobs, and client-side code.\n2. **Define Monitoring Criteria**: Establishes specific error types and thresholds for each source, such as HTTP status codes (4xx, 5xx), exception types, query timeouts, and API response failures.\n3. **Configure Alerting**: Sets up alerts to trigger when error rates exceed defined thresholds, notifying relevant teams or individuals for investigation and remediation.\n\n## When to Use This Skill\n\nThis skill activates when you need to:\n- Set up error monitoring for a new application.\n- Analyze existing error rates and identify areas for improvement.\n- Configure alerts to be notified of critical errors in real-time.\n- Establish error budgets and track progress towards reliability goals.\n\n## Examples\n\n### Example 1: Setting up Error Monitoring for a Web Application\n\nUser request: \"Monitor errors in my web application, especially 500 errors and database connection issues.\"\n\nThe skill will:\n1. Analyze the web application's architecture to identify potential error sources (e.g., HTTP endpoints, database connections).\n2. Configure monitoring for 500 errors and database connection failures, setting appropriate thresholds and alerts.\n\n### Example 2: Analyzing Error Rates in a Background Job Processor\n\nUser request: \"Analyze error rates for my background job processor. I'm seeing a lot of failed jobs.\"\n\nThe skill will:\n1. Focus on the background job processor and identify the types of errors occurring (e.g., task failures, timeouts, resource exhaustion).\n2. Analyze the frequency and patterns of these errors to identify potential root causes.\n\n## Best Practices\n\n- **Granularity**: Monitor errors at a granular level to identify specific problem areas.\n- **Thresholding**: Set appropriate alert thresholds to avoid alert fatigue and focus on critical issues.\n- **Context**: Include relevant context in error messages and alerts to facilitate troubleshooting.\n\n## Integration\n\nThis skill can be integrated with other monitoring and alerting tools, such as Prometheus, Grafana, and PagerDuty, to provide a comprehensive view of application health and performance. It can also be used in conjunction with incident management tools to streamline incident response workflows.\n\n## Prerequisites\n\n- Access to application logs and metrics\n- Monitoring infrastructure (Prometheus, Grafana, or similar)\n- Read permissions for log files in ${CLAUDE_SKILL_DIR}\u002Flogs\u002F\n- Network access to monitoring endpoints\n\n## Instructions\n\n1. Identify error sources by analyzing application architecture\n2. Define error types and monitoring thresholds\n3. Configure alerting rules with appropriate severity levels\n4. Set up dashboards for error rate visualization\n5. Establish notification channels for critical errors\n6. Document error baselines and SLO targets\n\n## Output\n\n- Error rate metrics and trends\n- Alert configurations for critical thresholds\n- Dashboard definitions for error monitoring\n- Reports on error patterns and root causes\n- Recommendations for error reduction strategies\n\n## Error Handling\n\nIf monitoring setup fails:\n- Verify log file permissions and paths\n- Check monitoring service connectivity\n- Validate metric export configurations\n- Review alert rule syntax\n- Ensure notification channels are configured\n\n## Resources\n\n- Monitoring platform documentation (Prometheus, Grafana)\n- Application log format specifications\n- Error taxonomy and classification guides\n- SLO\u002FSLI definition best practices",{"name":5,"author":43,"license":14,"version":44,"description":7,"allowed-tools":45,"compatible-with":46},"Jeremy Longshore \u003Cjeremy@intentsolutions.io>","1.0.0","Read, Bash(monitoring:*), Bash(metrics:*), Bash(logs:*), Grep, Glob","claude-code, codex, openclaw","master","3f5d983eb4ef375b749adcd6b07ec03bd82ae8a8","claude-code\u002Fplugins-plus-skills\u002Fplugins\u002Fperformance\u002Ferror-rate-monitor\u002Fskills\u002Fmonitoring-error-rates",0,"https:\u002F\u002Fgithub.com\u002Fmicsapp\u002Fmicstec-skills","https:\u002F\u002Fgithub.com\u002Fmicsapp","2026-03-20 11:24:18",{"source":8,"skillName":5,"commands":55,"prompt":65,"zipAvailable":66},[56,59,62],{"tool":57,"command":58},"npx","npx skills add micsapp\u002Fmicstec-skills --skill monitoring-error-rates",{"tool":60,"command":61},"bunx","bunx skills add micsapp\u002Fmicstec-skills --skill monitoring-error-rates",{"tool":63,"command":64},"pnpm","pnpm dlx skills add micsapp\u002Fmicstec-skills --skill monitoring-error-rates","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fmicsapp\u002Fmicstec-skills\u002Fblob\u002Fmaster\u002Fclaude-code\u002Fplugins-plus-skills\u002Fplugins\u002Fperformance\u002Ferror-rate-monitor\u002Fskills\u002Fmonitoring-error-rates\u002FSKILL.md",true,[68,74,80,86,90],{"path":69,"resourceType":70,"resourceTypeDesc":71,"sizeBytes":72,"sourceHtmlUrl":73},"assets\u002FREADME.md","ASSET","资产文件",58,"https:\u002F\u002Fgithub.com\u002Fmicsapp\u002Fmicstec-skills\u002Fblob\u002Fmaster\u002Fclaude-code\u002Fplugins-plus-skills\u002Fplugins\u002Fperformance\u002Ferror-rate-monitor\u002Fskills\u002Fmonitoring-error-rates\u002Fassets\u002FREADME.md",{"path":75,"resourceType":76,"resourceTypeDesc":77,"sizeBytes":78,"sourceHtmlUrl":79},"references\u002FREADME.md","REFERENCE","参考文档",62,"https:\u002F\u002Fgithub.com\u002Fmicsapp\u002Fmicstec-skills\u002Fblob\u002Fmaster\u002Fclaude-code\u002Fplugins-plus-skills\u002Fplugins\u002Fperformance\u002Ferror-rate-monitor\u002Fskills\u002Fmonitoring-error-rates\u002Freferences\u002FREADME.md",{"path":81,"resourceType":82,"resourceTypeDesc":83,"sizeBytes":84,"sourceHtmlUrl":85},"scripts\u002Fanalyze_errors.py","SCRIPT","脚本",4846,"https:\u002F\u002Fgithub.com\u002Fmicsapp\u002Fmicstec-skills\u002Fblob\u002Fmaster\u002Fclaude-code\u002Fplugins-plus-skills\u002Fplugins\u002Fperformance\u002Ferror-rate-monitor\u002Fskills\u002Fmonitoring-error-rates\u002Fscripts\u002Fanalyze_errors.py",{"path":87,"resourceType":82,"resourceTypeDesc":83,"sizeBytes":88,"sourceHtmlUrl":89},"scripts\u002Fgenerate_error_report.py",3716,"https:\u002F\u002Fgithub.com\u002Fmicsapp\u002Fmicstec-skills\u002Fblob\u002Fmaster\u002Fclaude-code\u002Fplugins-plus-skills\u002Fplugins\u002Fperformance\u002Ferror-rate-monitor\u002Fskills\u002Fmonitoring-error-rates\u002Fscripts\u002Fgenerate_error_report.py",{"path":91,"resourceType":82,"resourceTypeDesc":83,"sizeBytes":92,"sourceHtmlUrl":93},"scripts\u002FREADME.md",456,"https:\u002F\u002Fgithub.com\u002Fmicsapp\u002Fmicstec-skills\u002Fblob\u002Fmaster\u002Fclaude-code\u002Fplugins-plus-skills\u002Fplugins\u002Fperformance\u002Ferror-rate-monitor\u002Fskills\u002Fmonitoring-error-rates\u002Fscripts\u002FREADME.md",[95,132,161,180,200,224],{"skillNo":96,"name":97,"nameZh":6,"description":98,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":99,"categories":100,"keywords":111,"publishedAt":38},"01M6HBTJ02FXBFG9NYEHHYAP52","azure-apim-architecture","Analyzes and explains Azure API Management architecture decisions for enterprise API marketplace implementations using VNet Internal mode, Front Door, hybrid authentication, and multi-environment strategies. Use when discussing APIM component selection, network topology, cost optimization, or comparing alternatives like workspaces vs instances, VNet Internal vs External mode, or Front Door vs Application Gateway.","https:\u002F\u002Fgithub.com\u002Fmicsapp\u002Fmicstec-skills\u002Fblob\u002Fmaster\u002Fcopilot-cli\u002Fcopilot-agent-skills\u002F.github\u002Fskills\u002Fazure-apim-architecture\u002FSKILL.md",[101,106],{"categoryNo":102,"categoryName":103,"taxonomyType":104,"taxonomyTypeDesc":105},"01JBSEEDCAT000000000000010","后端与接口","SCENARIO","使用场景",{"categoryNo":107,"categoryName":108,"taxonomyType":109,"taxonomyTypeDesc":110},"01JBSEEDCAT000000000000030","开发工程师","PROFESSION","适用职业",[112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131],"architecture","azure","azure apim architecture","component","authentication","gateway","topology","Optimization","network","api","team","environment","multi-environment","workspaces","instances","selection","strategies","azure api management","mode","for",{"skillNo":133,"name":134,"nameZh":6,"description":135,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":136,"categories":137,"keywords":146,"publishedAt":38},"01M6HBT7J4H082JEEA670B3EQ9","apiops-deployment","Guides deployment of Azure API Management infrastructure using Infrastructure as Code (Bicep\u002FTerraform), CI\u002FCD pipelines (GitHub Actions\u002FAzure DevOps), and APIOps workflows. Use when deploying APIM, creating pipelines, or implementing dev→test→prod promotion strategies.","https:\u002F\u002Fgithub.com\u002Fmicsapp\u002Fmicstec-skills\u002Fblob\u002Fmaster\u002Fcopilot-cli\u002Fcopilot-agent-skills\u002F.github\u002Fskills\u002Fapiops-deployment\u002FSKILL.md",[138,139,142,145],{"categoryNo":102,"categoryName":103,"taxonomyType":104,"taxonomyTypeDesc":105},{"categoryNo":140,"categoryName":141,"taxonomyType":104,"taxonomyTypeDesc":105},"01JBSEEDCAT000000000000011","运维与部署",{"categoryNo":143,"categoryName":144,"taxonomyType":104,"taxonomyTypeDesc":105},"01JBSEEDCAT000000000000023","Skill与智能体开发",{"categoryNo":107,"categoryName":108,"taxonomyType":109,"taxonomyTypeDesc":110},[147,148,149,150,113,151,36,152,153,154,155,156,121,122,128,157,158,129,159,160],"deployment","apiops deployment","workflows","azure devops","infrastructure","infrastructure as code","actions","ci","github actions","github-actions","as","guides","CI\u002FCD","implementing",{"skillNo":162,"name":163,"nameZh":6,"description":164,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":165,"categories":166,"keywords":168,"publishedAt":38},"01M6HBT2HEA23THNE9E00GYQBE","apim-policy-authoring","Creates production-ready Azure API Management policy XML for authentication (OAuth 2.0, JWT validation, subscription keys), rate limiting, CORS configuration, error handling, and API transformations. Use when implementing API security, access control, or request\u002Fresponse processing logic.","https:\u002F\u002Fgithub.com\u002Fmicsapp\u002Fmicstec-skills\u002Fblob\u002Fmaster\u002Fcopilot-cli\u002Fcopilot-agent-skills\u002F.github\u002Fskills\u002Fapim-policy-authoring\u002FSKILL.md",[167],{"categoryNo":102,"categoryName":103,"taxonomyType":104,"taxonomyTypeDesc":105},[169,170,171,172,113,116,121,122,173,28,174,175,176,18,177,129,178,179,160,131],"policy","authoring","apim policy authoring","security","access","ready","api security","Access Control","processing","cors configuration","production-ready",{"skillNo":181,"name":182,"nameZh":6,"description":183,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":184,"categories":185,"keywords":188,"publishedAt":38},"01M6HBSY65SB29J9WE9KYD0K6T","api-security-review","Reviews Azure API Management configurations for security vulnerabilities, OWASP API Security Top 10 compliance, VNet Internal mode validation, Private Link verification, and Azure Security Benchmark alignment. Use when performing security audits, pre-deployment validation, or compliance reviews.","https:\u002F\u002Fgithub.com\u002Fmicsapp\u002Fmicstec-skills\u002Fblob\u002Fmaster\u002Fcopilot-cli\u002Fcopilot-agent-skills\u002F.github\u002Fskills\u002Fapi-security-review\u002FSKILL.md",[186,187],{"categoryNo":102,"categoryName":103,"taxonomyType":104,"taxonomyTypeDesc":105},{"categoryNo":107,"categoryName":108,"taxonomyType":109,"taxonomyTypeDesc":110},[189,172,190,121,175,191,113,147,192,193,194,195,122,196,129,197,198,199,130,131],"review","security review","api security review","benchmark","verification","owasp","owasp-api","alignment","azure security","reviews","top",{"skillNo":201,"name":202,"nameZh":6,"description":203,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":204,"categories":205,"keywords":206,"publishedAt":38},"01M6HBSRW4PDFE6K4F8JYPZQ05","jira-cli","Interact with Jira from the command line to create, list, view, edit, and transition issues, manage sprints and epics, and perform common Jira workflows. Use when the user asks about Jira tasks, tickets, issues, sprints, or needs to manage project work items.","https:\u002F\u002Fgithub.com\u002Fmicsapp\u002Fmicstec-skills\u002Fblob\u002Fmaster\u002Fcopilot-cli\u002Fawesome-copilot-agents\u002Fskills\u002Fjira-cli\u002FSKILL.md",[],[207,208,209,149,210,211,212,35,121,213,214,215,216,217,218,219,220,221,222,223],"cli","jira","jira cli","init","tasks","create","common","work","command","edit","list","view","project","project work","token","line","sprints",{"skillNo":225,"name":226,"nameZh":6,"description":227,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":228,"categories":229,"keywords":230,"publishedAt":38},"01M6HBSNS3JHMW603G47TWE31H","calculator","Performs arbitrary-precision arithmetic calculations including addition, subtraction, multiplication, division, and exponents. Use when the user asks to calculate, compute, or evaluate math expressions, or when precise decimal arithmetic is needed to avoid floating-point errors.","https:\u002F\u002Fgithub.com\u002Fmicsapp\u002Fmicstec-skills\u002Fblob\u002Fmaster\u002Fcopilot-cli\u002Fawesome-copilot-agents\u002Fskills\u002Fcalculator\u002FSKILL.md",[],[226,231,232,233,234,235,236,28,237,23],"npm","js","calculate","node","math","user","compute"]