[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6CDNG9N21MTTMQJM5GAF76Y":3,"skill-same:01M6CDNG9N21MTTMQJM5GAF76Y":104},{"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":34,"linkOnly":35,"markdownContent":36,"markdownBody":37,"frontMatter":38,"refName":47,"commitSha":48,"skillDirectory":49,"forksCount":50,"repositoryHtmlUrl":51,"repositoryHomepageUrl":6,"ownerHtmlUrl":52,"ownerBlogUrl":53,"ownerDescription":54,"updatedAt":55,"install":56,"resources":69},"01M6CDNG9N21MTTMQJM5GAF76Y","aggregating-performance-metrics",null,"Aggregate and centralize performance metrics from applications, systems, databases, caches, and services. Use when consolidating monitoring data from multiple sources. Trigger with phrases like \"aggregate metrics\", \"centralize monitoring\", or \"collect performance data\".","BbgnsurfTech\u002Fclaude-skills-collection","BbgnsurfTech","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F59598605?v=4","01M6C5ZT4G3G4QPQB64QDVW438","Bbgnsurf Technologies","01M6C5ZT8JN4VWSZZH3DD8J4EG",29,"MIT","https:\u002F\u002Fgithub.com\u002FBbgnsurfTech\u002Fclaude-skills-collection\u002Fblob\u002Fmain\u002Fplugins\u002Fclaude-code-plugins-plus\u002Fplugins\u002Fperformance\u002Fmetrics-aggregator\u002Fskills\u002Fmetrics-aggregator\u002FSKILL.md",[],[19,20,21,22,23,24,25,26,27,28,29,30,31,32,33],"performance","metrics","Aggregating Performance Metrics","prometheus","collect","monitoring","services","data","applications","Bash","grep","read","write","use","databases","2026-11-10 10:12:30",false,"---\nname: aggregating-performance-metrics\ndescription: Aggregate and centralize performance metrics from applications, systems, databases, caches, and services. Use when consolidating monitoring data from multiple sources. Trigger with phrases like \"aggregate metrics\", \"centralize monitoring\", or \"collect performance data\".\nversion: 1.0.0\nallowed-tools:\n- Read\n- Write\n- Bash(prometheus:*)\n- Bash(metrics:*)\n- Bash(monitoring:*)\n- Grep\nlicense: MIT\n---\n## Overview\n\nThis skill empowers Claude to streamline performance monitoring by aggregating metrics from diverse systems into a unified view. It simplifies the process of collecting, centralizing, and analyzing performance data, leading to improved insights and faster issue resolution.\n\n## How It Works\n\n1. **Metrics Taxonomy Design**: Claude assists in defining a clear and consistent naming convention for metrics across all systems.\n2. **Aggregation Tool Selection**: Claude helps select the appropriate metrics aggregation tool (e.g., Prometheus, StatsD, CloudWatch) based on the user's environment and requirements.\n3. **Configuration and Integration**: Claude guides the configuration of the chosen aggregation tool and its integration with various data sources.\n4. **Dashboard and Alert Setup**: Claude helps set up dashboards for visualizing metrics and defining alerts for critical performance indicators.\n\n## When to Use This Skill\n\nThis skill activates when you need to:\n- Centralize performance metrics from multiple applications and systems.\n- Design a consistent metrics naming convention.\n- Choose the right metrics aggregation tool for your needs.\n- Set up dashboards and alerts for performance monitoring.\n\n## Examples\n\n### Example 1: Centralizing Application and System Metrics\n\nUser request: \"Aggregate application and system metrics into Prometheus.\"\n\nThe skill will:\n1. Guide the user in defining metrics for applications (e.g., request latency, error rates) and systems (e.g., CPU usage, memory utilization).\n2. Help configure Prometheus to scrape metrics from the application and system endpoints.\n\n### Example 2: Setting Up Alerts for Database Performance\n\nUser request: \"Centralize database metrics and set up alerts for slow queries.\"\n\nThe skill will:\n1. Help the user define metrics for database performance (e.g., query execution time, connection pool usage).\n2. Guide the user in configuring the aggregation tool to collect these metrics from the database.\n3. Assist in setting up alerts in the aggregation tool to notify the user when query execution time exceeds a defined threshold.\n\n## Best Practices\n\n- **Naming Conventions**: Use a consistent and well-defined naming convention for all metrics to ensure clarity and ease of analysis.\n- **Granularity**: Choose an appropriate level of granularity for metrics to balance detail and storage requirements.\n- **Retention Policies**: Define retention policies for metrics to manage storage space and ensure data is available for historical analysis.\n\n## Integration\n\nThis skill integrates with other plugins that manage infrastructure, deploy applications, and monitor system health. For example, it can be used in conjunction with a deployment plugin to automatically configure metrics collection after a new application deployment.\n\n## Prerequisites\n\n- Access to metrics collection tools (Prometheus, StatsD, CloudWatch)\n- Network connectivity to metric sources\n- Metrics storage configuration in {baseDir}\u002Fmetrics\u002F\n- Understanding of metrics taxonomy\n\n## Instructions\n\n1. Design consistent metrics naming convention\n2. Select appropriate aggregation tool for environment\n3. Configure metric collection from all sources\n4. Set up centralized storage and retention policies\n5. Create dashboards for visualization\n6. Define alerts for critical metrics\n\n## Output\n\n- Metrics aggregation configuration files\n- Unified naming convention documentation\n- Dashboard definitions for key metrics\n- Alert rules for performance thresholds\n- Integration guides for metric sources\n\n## Error Handling\n\nIf metrics aggregation fails:\n- Verify network connectivity to sources\n- Check authentication credentials\n- Validate metrics format compatibility\n- Review storage capacity and retention\n- Ensure aggregation tool configuration\n\n## Resources\n\n- Prometheus aggregation documentation\n- StatsD protocol specifications\n- CloudWatch metrics API reference\n- Metrics naming best practices","## Overview\n\nThis skill empowers Claude to streamline performance monitoring by aggregating metrics from diverse systems into a unified view. It simplifies the process of collecting, centralizing, and analyzing performance data, leading to improved insights and faster issue resolution.\n\n## How It Works\n\n1. **Metrics Taxonomy Design**: Claude assists in defining a clear and consistent naming convention for metrics across all systems.\n2. **Aggregation Tool Selection**: Claude helps select the appropriate metrics aggregation tool (e.g., Prometheus, StatsD, CloudWatch) based on the user's environment and requirements.\n3. **Configuration and Integration**: Claude guides the configuration of the chosen aggregation tool and its integration with various data sources.\n4. **Dashboard and Alert Setup**: Claude helps set up dashboards for visualizing metrics and defining alerts for critical performance indicators.\n\n## When to Use This Skill\n\nThis skill activates when you need to:\n- Centralize performance metrics from multiple applications and systems.\n- Design a consistent metrics naming convention.\n- Choose the right metrics aggregation tool for your needs.\n- Set up dashboards and alerts for performance monitoring.\n\n## Examples\n\n### Example 1: Centralizing Application and System Metrics\n\nUser request: \"Aggregate application and system metrics into Prometheus.\"\n\nThe skill will:\n1. Guide the user in defining metrics for applications (e.g., request latency, error rates) and systems (e.g., CPU usage, memory utilization).\n2. Help configure Prometheus to scrape metrics from the application and system endpoints.\n\n### Example 2: Setting Up Alerts for Database Performance\n\nUser request: \"Centralize database metrics and set up alerts for slow queries.\"\n\nThe skill will:\n1. Help the user define metrics for database performance (e.g., query execution time, connection pool usage).\n2. Guide the user in configuring the aggregation tool to collect these metrics from the database.\n3. Assist in setting up alerts in the aggregation tool to notify the user when query execution time exceeds a defined threshold.\n\n## Best Practices\n\n- **Naming Conventions**: Use a consistent and well-defined naming convention for all metrics to ensure clarity and ease of analysis.\n- **Granularity**: Choose an appropriate level of granularity for metrics to balance detail and storage requirements.\n- **Retention Policies**: Define retention policies for metrics to manage storage space and ensure data is available for historical analysis.\n\n## Integration\n\nThis skill integrates with other plugins that manage infrastructure, deploy applications, and monitor system health. For example, it can be used in conjunction with a deployment plugin to automatically configure metrics collection after a new application deployment.\n\n## Prerequisites\n\n- Access to metrics collection tools (Prometheus, StatsD, CloudWatch)\n- Network connectivity to metric sources\n- Metrics storage configuration in {baseDir}\u002Fmetrics\u002F\n- Understanding of metrics taxonomy\n\n## Instructions\n\n1. Design consistent metrics naming convention\n2. Select appropriate aggregation tool for environment\n3. Configure metric collection from all sources\n4. Set up centralized storage and retention policies\n5. Create dashboards for visualization\n6. Define alerts for critical metrics\n\n## Output\n\n- Metrics aggregation configuration files\n- Unified naming convention documentation\n- Dashboard definitions for key metrics\n- Alert rules for performance thresholds\n- Integration guides for metric sources\n\n## Error Handling\n\nIf metrics aggregation fails:\n- Verify network connectivity to sources\n- Check authentication credentials\n- Validate metrics format compatibility\n- Review storage capacity and retention\n- Ensure aggregation tool configuration\n\n## Resources\n\n- Prometheus aggregation documentation\n- StatsD protocol specifications\n- CloudWatch metrics API reference\n- Metrics naming best practices",{"name":5,"license":15,"version":39,"description":7,"allowed-tools":40},"1.0.0",[41,42,43,44,45,46],"Read","Write","Bash(prometheus:*)","Bash(metrics:*)","Bash(monitoring:*)","Grep","main","01d3fafeca1133f841956b8b90b939fee92d71e7","plugins\u002Fclaude-code-plugins-plus\u002Fplugins\u002Fperformance\u002Fmetrics-aggregator\u002Fskills\u002Fmetrics-aggregator",9,"https:\u002F\u002Fgithub.com\u002FBbgnsurfTech\u002Fclaude-skills-collection","https:\u002F\u002Fgithub.com\u002FBbgnsurfTech","www.bbgnsurf.com","An ICT solutions provider and software development company","2025-12-18 20:19:58",{"source":8,"skillName":5,"commands":57,"prompt":67,"zipAvailable":68},[58,61,64],{"tool":59,"command":60},"npx","npx skills add BbgnsurfTech\u002Fclaude-skills-collection --skill aggregating-performance-metrics",{"tool":62,"command":63},"bunx","bunx skills add BbgnsurfTech\u002Fclaude-skills-collection --skill aggregating-performance-metrics",{"tool":65,"command":66},"pnpm","pnpm dlx skills add BbgnsurfTech\u002Fclaude-skills-collection --skill aggregating-performance-metrics","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FBbgnsurfTech\u002Fclaude-skills-collection\u002Fblob\u002Fmain\u002Fplugins\u002Fclaude-code-plugins-plus\u002Fplugins\u002Fperformance\u002Fmetrics-aggregator\u002Fskills\u002Fmetrics-aggregator\u002FSKILL.md",true,[70,76,82,88,92,96,100],{"path":71,"resourceType":72,"resourceTypeDesc":73,"sizeBytes":74,"sourceHtmlUrl":75},"assets\u002FREADME.md","ASSET","资产文件",704,"https:\u002F\u002Fgithub.com\u002FBbgnsurfTech\u002Fclaude-skills-collection\u002Fblob\u002Fmain\u002Fplugins\u002Fclaude-code-plugins-plus\u002Fplugins\u002Fperformance\u002Fmetrics-aggregator\u002Fskills\u002Fmetrics-aggregator\u002Fassets\u002FREADME.md",{"path":77,"resourceType":78,"resourceTypeDesc":79,"sizeBytes":80,"sourceHtmlUrl":81},"references\u002FREADME.md","REFERENCE","参考文档",1354,"https:\u002F\u002Fgithub.com\u002FBbgnsurfTech\u002Fclaude-skills-collection\u002Fblob\u002Fmain\u002Fplugins\u002Fclaude-code-plugins-plus\u002Fplugins\u002Fperformance\u002Fmetrics-aggregator\u002Fskills\u002Fmetrics-aggregator\u002Freferences\u002FREADME.md",{"path":83,"resourceType":84,"resourceTypeDesc":85,"sizeBytes":86,"sourceHtmlUrl":87},"scripts\u002Fmetrics_aggregation.py","SCRIPT","脚本",3016,"https:\u002F\u002Fgithub.com\u002FBbgnsurfTech\u002Fclaude-skills-collection\u002Fblob\u002Fmain\u002Fplugins\u002Fclaude-code-plugins-plus\u002Fplugins\u002Fperformance\u002Fmetrics-aggregator\u002Fskills\u002Fmetrics-aggregator\u002Fscripts\u002Fmetrics_aggregation.py",{"path":89,"resourceType":84,"resourceTypeDesc":85,"sizeBytes":90,"sourceHtmlUrl":91},"scripts\u002Fmetrics_collection.py",2998,"https:\u002F\u002Fgithub.com\u002FBbgnsurfTech\u002Fclaude-skills-collection\u002Fblob\u002Fmain\u002Fplugins\u002Fclaude-code-plugins-plus\u002Fplugins\u002Fperformance\u002Fmetrics-aggregator\u002Fskills\u002Fmetrics-aggregator\u002Fscripts\u002Fmetrics_collection.py",{"path":93,"resourceType":84,"resourceTypeDesc":85,"sizeBytes":94,"sourceHtmlUrl":95},"scripts\u002Fmetrics_export.py",3020,"https:\u002F\u002Fgithub.com\u002FBbgnsurfTech\u002Fclaude-skills-collection\u002Fblob\u002Fmain\u002Fplugins\u002Fclaude-code-plugins-plus\u002Fplugins\u002Fperformance\u002Fmetrics-aggregator\u002Fskills\u002Fmetrics-aggregator\u002Fscripts\u002Fmetrics_export.py",{"path":97,"resourceType":84,"resourceTypeDesc":85,"sizeBytes":98,"sourceHtmlUrl":99},"scripts\u002Fmetrics_validation.py",2962,"https:\u002F\u002Fgithub.com\u002FBbgnsurfTech\u002Fclaude-skills-collection\u002Fblob\u002Fmain\u002Fplugins\u002Fclaude-code-plugins-plus\u002Fplugins\u002Fperformance\u002Fmetrics-aggregator\u002Fskills\u002Fmetrics-aggregator\u002Fscripts\u002Fmetrics_validation.py",{"path":101,"resourceType":84,"resourceTypeDesc":85,"sizeBytes":102,"sourceHtmlUrl":103},"scripts\u002FREADME.md",746,"https:\u002F\u002Fgithub.com\u002FBbgnsurfTech\u002Fclaude-skills-collection\u002Fblob\u002Fmain\u002Fplugins\u002Fclaude-code-plugins-plus\u002Fplugins\u002Fperformance\u002Fmetrics-aggregator\u002Fskills\u002Fmetrics-aggregator\u002Fscripts\u002FREADME.md",[105,126,145,165,178,191],{"skillNo":106,"name":107,"nameZh":6,"description":108,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":109,"categories":110,"keywords":116,"publishedAt":34},"01M6CDVX5RHG36WP2Z7X8WAYYA","testing-visual-regression","Detect visual changes in UI components using screenshot comparison.\nUse when detecting unintended UI changes or pixel differences.\nTrigger with phrases like \"test visual changes\", \"compare screenshots\", or \"detect UI regressions\".","https:\u002F\u002Fgithub.com\u002FBbgnsurfTech\u002Fclaude-skills-collection\u002Fblob\u002Fmain\u002Fplugins\u002Fclaude-code-plugins-plus\u002Fplugins\u002Ftesting\u002Fvisual-regression-tester\u002Fskills\u002Fvisual-regression-tester\u002FSKILL.md",[111],{"categoryNo":112,"categoryName":113,"taxonomyType":114,"taxonomyTypeDesc":115},"01JBSEEDCAT000000000000008","测试与质量","SCENARIO","使用场景",[117,118,119,120,29,30,31,32,121,122,123,124,125,28],"testing visual regression","testing","regression","edit","components","test","screenshots","screenshot","ui",{"skillNo":127,"name":128,"nameZh":6,"description":129,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":130,"categories":131,"keywords":133,"publishedAt":34},"01M6CDVT4S54EMAPZ231KSP2XQ","generating-unit-tests","Automatically generate comprehensive unit tests from source code covering happy paths, edge cases, and error conditions.\nUse when creating test coverage for functions, classes, or modules.\nTrigger with phrases like \"generate unit tests\", \"create tests for\", or \"add test coverage\".","https:\u002F\u002Fgithub.com\u002FBbgnsurfTech\u002Fclaude-skills-collection\u002Fblob\u002Fmain\u002Fplugins\u002Fclaude-code-plugins-plus\u002Fplugins\u002Ftesting\u002Funit-test-generator\u002Fskills\u002Funit-test-generator\u002FSKILL.md",[132],{"categoryNo":112,"categoryName":113,"taxonomyType":114,"taxonomyTypeDesc":115},[134,135,136,137,138,122,120,139,140,141,32,142,143,31,30,29,28,144],"unit tests","Generating Unit Tests","generate","create","add test","functions","modules","test coverage","coverage","code","edge",{"skillNo":146,"name":147,"nameZh":6,"description":148,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":149,"categories":150,"keywords":157,"publishedAt":34},"01M6CDVPQKGQ450Q50ZC84FPMR","generating-test-reports","Generate comprehensive test reports with metrics, coverage, and visualizations.\nUse when performing specialized testing.\nTrigger with phrases like \"generate test report\", \"create test documentation\", or \"show test metrics\".","https:\u002F\u002Fgithub.com\u002FBbgnsurfTech\u002Fclaude-skills-collection\u002Fblob\u002Fmain\u002Fplugins\u002Fclaude-code-plugins-plus\u002Fplugins\u002Ftesting\u002Ftest-report-generator\u002Fskills\u002Ftest-report-generator\u002FSKILL.md",[151,152],{"categoryNo":112,"categoryName":113,"taxonomyType":114,"taxonomyTypeDesc":115},{"categoryNo":153,"categoryName":154,"taxonomyType":155,"taxonomyTypeDesc":156},"01JBSEEDCAT000000000000034","行政与办公人员","PROFESSION","适用职业",[122,158,159,160,161,32,142,120,162,31,30,163,28,20,136,137,164,118,29],"reports","Generating Test Reports","test report","specialized","report","visualizations","documentation",{"skillNo":166,"name":167,"nameZh":6,"description":168,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":169,"categories":170,"keywords":172,"publishedAt":34},"01M6CDVK97VFZ53CEYEGQ4QFZ6","orchestrating-test-execution","Coordinate parallel test execution across multiple environments and frameworks.\nUse when performing specialized testing.\nTrigger with phrases like \"orchestrate tests\", \"run parallel tests\", or \"coordinate test execution\".","https:\u002F\u002Fgithub.com\u002FBbgnsurfTech\u002Fclaude-skills-collection\u002Fblob\u002Fmain\u002Fplugins\u002Fclaude-code-plugins-plus\u002Fplugins\u002Ftesting\u002Ftest-orchestrator\u002Fskills\u002Ftest-orchestrator\u002FSKILL.md",[171],{"categoryNo":112,"categoryName":113,"taxonomyType":114,"taxonomyTypeDesc":115},[173,174,122,30,32,120,31,161,29,175,28,176,177,118],"orchestrating test execution","execution","parallel","orchestrate","run",{"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":34},"01M6CDVFTCBQ65TGB1YJCZB90G","managing-test-environments","Provision and manage isolated test environments with configuration and data.\nUse when performing specialized testing.\nTrigger with phrases like \"manage test environment\", \"provision test env\", or \"setup test infrastructure\".","https:\u002F\u002Fgithub.com\u002FBbgnsurfTech\u002Fclaude-skills-collection\u002Fblob\u002Fmain\u002Fplugins\u002Fclaude-code-plugins-plus\u002Fplugins\u002Ftesting\u002Ftest-environment-manager\u002Fskills\u002Ftest-environment-manager\u002FSKILL.md",[184],{"categoryNo":112,"categoryName":113,"taxonomyType":114,"taxonomyTypeDesc":115},[186,122,120,31,30,161,29,28,26,187,188,118,189,190,32],"Managing Test Environments","infrastructure","setup","environment","manage",{"skillNo":192,"name":193,"nameZh":6,"description":194,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":195,"categories":196,"keywords":198,"publishedAt":34},"01M6CDVD0NPFXVEQGT9CMF02H0","generating-test-doubles","Generate mocks, stubs, spies, and fakes for dependency isolation.\nUse when creating mocks, stubs, or test isolation fixtures.\nTrigger with phrases like \"generate mocks\", \"create test doubles\", or \"setup stubs\".","https:\u002F\u002Fgithub.com\u002FBbgnsurfTech\u002Fclaude-skills-collection\u002Fblob\u002Fmain\u002Fplugins\u002Fclaude-code-plugins-plus\u002Fplugins\u002Ftesting\u002Ftest-doubles-generator\u002Fskills\u002Ftest-doubles-generator\u002FSKILL.md",[197],{"categoryNo":112,"categoryName":113,"taxonomyType":114,"taxonomyTypeDesc":115},[122,199,200,32,120,31,30,29,28,136,137,188],"Generating Test Doubles","dependency"]