[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6CDP21JSXDQF9QGXEJFK3HT":3,"skill-same:01M6CDP21JSXDQF9QGXEJFK3HT":106},{"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":31,"linkOnly":32,"markdownContent":33,"markdownBody":34,"frontMatter":35,"refName":45,"commitSha":46,"skillDirectory":47,"forksCount":48,"repositoryHtmlUrl":49,"repositoryHomepageUrl":6,"ownerHtmlUrl":50,"ownerBlogUrl":51,"ownerDescription":52,"updatedAt":53,"install":54,"resources":67},"01M6CDP21JSXDQF9QGXEJFK3HT","tracking-resource-usage",null,"Track and optimize resource usage across application stack including CPU, memory, disk, and network I\u002FO. Use when identifying bottlenecks or optimizing costs. Trigger with phrases like \"track resource usage\", \"monitor CPU and memory\", or \"optimize resource allocation\".","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\u002Fresource-usage-tracker\u002Fskills\u002Fresource-usage-tracker\u002FSKILL.md",[],[19,20,21,22,23,24,25,26,27,28,29,30],"tracking","Tracking Resource Usage","memory","monitor","network","disk","Bash","stack","PS","grep","read","use","2026-11-10 10:12:30",false,"---\nname: tracking-resource-usage\ndescription: Track and optimize resource usage across application stack including CPU, memory, disk, and network I\u002FO. Use when identifying bottlenecks or optimizing costs. Trigger with phrases like \"track resource usage\", \"monitor CPU and memory\", or \"optimize resource allocation\".\nversion: 1.0.0\nallowed-tools:\n- Read\n- Bash(top:*)\n- Bash(ps:*)\n- Bash(vmstat:*)\n- Bash(iostat:*)\n- Grep\n- Glob\nlicense: MIT\n---\n## Overview\n\nThis skill provides a comprehensive solution for monitoring and optimizing resource usage within an application. It leverages the resource-usage-tracker plugin to gather real-time metrics, identify performance bottlenecks, and suggest optimization strategies.\n\n## How It Works\n\n1. **Identify Resources**: The skill identifies the resources to be tracked based on the user's request and the application's configuration (CPU, memory, disk I\u002FO, network I\u002FO, etc.).\n2. **Collect Metrics**: The plugin collects real-time metrics for the identified resources, providing a snapshot of current resource consumption.\n3. **Analyze Data**: The skill analyzes the collected data to identify performance bottlenecks, resource imbalances, and potential optimization opportunities.\n4. **Provide Recommendations**: Based on the analysis, the skill provides specific recommendations for optimizing resource allocation, right-sizing instances, and reducing costs.\n\n## When to Use This Skill\n\nThis skill activates when you need to:\n- Identify performance bottlenecks in an application.\n- Optimize resource allocation to improve efficiency.\n- Reduce cloud infrastructure costs by right-sizing instances.\n- Monitor resource usage in real-time to detect anomalies.\n- Track the impact of code changes on resource consumption.\n\n## Examples\n\n### Example 1: Identifying Memory Leaks\n\nUser request: \"Track memory usage and identify potential memory leaks.\"\n\nThe skill will:\n1. Activate the resource-usage-tracker plugin to monitor memory usage (heap, stack, RSS).\n2. Analyze the memory usage data over time to detect patterns indicative of memory leaks.\n3. Provide recommendations for identifying and resolving the memory leaks.\n\n### Example 2: Optimizing Database Connection Pool\n\nUser request: \"Optimize database connection pool utilization.\"\n\nThe skill will:\n1. Activate the resource-usage-tracker plugin to monitor database connection pool metrics.\n2. Analyze the connection pool utilization data to identify periods of high contention or underutilization.\n3. Provide recommendations for adjusting the connection pool size to optimize performance and resource consumption.\n\n## Best Practices\n\n- **Granularity**: Track resource usage at a granular level (e.g., process-level CPU usage) to identify specific bottlenecks.\n- **Historical Data**: Analyze historical resource usage data to identify trends and predict future resource needs.\n- **Alerting**: Configure alerts to notify you when resource usage exceeds predefined thresholds.\n\n## Integration\n\nThis skill can be integrated with other monitoring and alerting tools to provide a comprehensive view of application performance. It can also be used in conjunction with deployment automation tools to automatically right-size instances based on resource usage patterns.\n\n## Prerequisites\n\n- Access to system monitoring tools (top, ps, vmstat, iostat)\n- Resource metrics collection infrastructure\n- Historical usage data in {baseDir}\u002Fmetrics\u002Fresources\u002F\n- Performance baseline definitions\n\n## Instructions\n\n1. Identify resources to track (CPU, memory, disk, network)\n2. Collect real-time metrics using system tools\n3. Analyze data for bottlenecks and patterns\n4. Compare against historical baselines\n5. Generate optimization recommendations\n6. Provide right-sizing and cost reduction strategies\n\n## Output\n\n- Resource usage reports with trends\n- Bottleneck identification and analysis\n- Right-sizing recommendations for instances\n- Cost optimization suggestions\n- Alert configurations for thresholds\n\n## Error Handling\n\nIf resource tracking fails:\n- Verify system monitoring tool permissions\n- Check metrics collection daemon status\n- Validate data storage availability\n- Ensure network access to monitoring endpoints\n- Review baseline data completeness\n\n## Resources\n\n- System performance monitoring guides\n- Cloud resource optimization best practices\n- CPU and memory profiling techniques\n- Infrastructure cost optimization strategies","## Overview\n\nThis skill provides a comprehensive solution for monitoring and optimizing resource usage within an application. It leverages the resource-usage-tracker plugin to gather real-time metrics, identify performance bottlenecks, and suggest optimization strategies.\n\n## How It Works\n\n1. **Identify Resources**: The skill identifies the resources to be tracked based on the user's request and the application's configuration (CPU, memory, disk I\u002FO, network I\u002FO, etc.).\n2. **Collect Metrics**: The plugin collects real-time metrics for the identified resources, providing a snapshot of current resource consumption.\n3. **Analyze Data**: The skill analyzes the collected data to identify performance bottlenecks, resource imbalances, and potential optimization opportunities.\n4. **Provide Recommendations**: Based on the analysis, the skill provides specific recommendations for optimizing resource allocation, right-sizing instances, and reducing costs.\n\n## When to Use This Skill\n\nThis skill activates when you need to:\n- Identify performance bottlenecks in an application.\n- Optimize resource allocation to improve efficiency.\n- Reduce cloud infrastructure costs by right-sizing instances.\n- Monitor resource usage in real-time to detect anomalies.\n- Track the impact of code changes on resource consumption.\n\n## Examples\n\n### Example 1: Identifying Memory Leaks\n\nUser request: \"Track memory usage and identify potential memory leaks.\"\n\nThe skill will:\n1. Activate the resource-usage-tracker plugin to monitor memory usage (heap, stack, RSS).\n2. Analyze the memory usage data over time to detect patterns indicative of memory leaks.\n3. Provide recommendations for identifying and resolving the memory leaks.\n\n### Example 2: Optimizing Database Connection Pool\n\nUser request: \"Optimize database connection pool utilization.\"\n\nThe skill will:\n1. Activate the resource-usage-tracker plugin to monitor database connection pool metrics.\n2. Analyze the connection pool utilization data to identify periods of high contention or underutilization.\n3. Provide recommendations for adjusting the connection pool size to optimize performance and resource consumption.\n\n## Best Practices\n\n- **Granularity**: Track resource usage at a granular level (e.g., process-level CPU usage) to identify specific bottlenecks.\n- **Historical Data**: Analyze historical resource usage data to identify trends and predict future resource needs.\n- **Alerting**: Configure alerts to notify you when resource usage exceeds predefined thresholds.\n\n## Integration\n\nThis skill can be integrated with other monitoring and alerting tools to provide a comprehensive view of application performance. It can also be used in conjunction with deployment automation tools to automatically right-size instances based on resource usage patterns.\n\n## Prerequisites\n\n- Access to system monitoring tools (top, ps, vmstat, iostat)\n- Resource metrics collection infrastructure\n- Historical usage data in {baseDir}\u002Fmetrics\u002Fresources\u002F\n- Performance baseline definitions\n\n## Instructions\n\n1. Identify resources to track (CPU, memory, disk, network)\n2. Collect real-time metrics using system tools\n3. Analyze data for bottlenecks and patterns\n4. Compare against historical baselines\n5. Generate optimization recommendations\n6. Provide right-sizing and cost reduction strategies\n\n## Output\n\n- Resource usage reports with trends\n- Bottleneck identification and analysis\n- Right-sizing recommendations for instances\n- Cost optimization suggestions\n- Alert configurations for thresholds\n\n## Error Handling\n\nIf resource tracking fails:\n- Verify system monitoring tool permissions\n- Check metrics collection daemon status\n- Validate data storage availability\n- Ensure network access to monitoring endpoints\n- Review baseline data completeness\n\n## Resources\n\n- System performance monitoring guides\n- Cloud resource optimization best practices\n- CPU and memory profiling techniques\n- Infrastructure cost optimization strategies",{"name":5,"license":15,"version":36,"description":7,"allowed-tools":37},"1.0.0",[38,39,40,41,42,43,44],"Read","Bash(top:*)","Bash(ps:*)","Bash(vmstat:*)","Bash(iostat:*)","Grep","Glob","main","01d3fafeca1133f841956b8b90b939fee92d71e7","plugins\u002Fclaude-code-plugins-plus\u002Fplugins\u002Fperformance\u002Fresource-usage-tracker\u002Fskills\u002Fresource-usage-tracker",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":55,"prompt":65,"zipAvailable":66},[56,59,62],{"tool":57,"command":58},"npx","npx skills add BbgnsurfTech\u002Fclaude-skills-collection --skill tracking-resource-usage",{"tool":60,"command":61},"bunx","bunx skills add BbgnsurfTech\u002Fclaude-skills-collection --skill tracking-resource-usage",{"tool":63,"command":64},"pnpm","pnpm dlx skills add BbgnsurfTech\u002Fclaude-skills-collection --skill 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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",[113],{"categoryNo":114,"categoryName":115,"taxonomyType":116,"taxonomyTypeDesc":117},"01JBSEEDCAT000000000000008","测试与质量","SCENARIO","使用场景",[119,120,121,122,28,29,123,30,124,125,126,127,128,25],"testing visual 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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",[135],{"categoryNo":114,"categoryName":115,"taxonomyType":116,"taxonomyTypeDesc":117},[137,138,139,140,141,125,122,142,143,144,30,145,146,123,29,28,25,147],"unit tests","Generating Unit Tests","generate","create","add test","functions","modules","test coverage","coverage","code","edge",{"skillNo":149,"name":150,"nameZh":6,"description":151,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":152,"categories":153,"keywords":160,"publishedAt":31},"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",[154,155],{"categoryNo":114,"categoryName":115,"taxonomyType":116,"taxonomyTypeDesc":117},{"categoryNo":156,"categoryName":157,"taxonomyType":158,"taxonomyTypeDesc":159},"01JBSEEDCAT000000000000034","行政与办公人员","PROFESSION","适用职业",[125,161,162,163,164,30,145,122,165,123,29,166,25,167,139,140,168,120,28],"reports","Generating Test Reports","test report","specialized","report","visualizations","metrics","documentation",{"skillNo":170,"name":171,"nameZh":6,"description":172,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":173,"categories":174,"keywords":176,"publishedAt":31},"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",[175],{"categoryNo":114,"categoryName":115,"taxonomyType":116,"taxonomyTypeDesc":117},[177,178,125,29,30,122,123,164,28,179,25,180,181,120],"orchestrating test execution","execution","parallel","orchestrate","run",{"skillNo":183,"name":184,"nameZh":6,"description":185,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":186,"categories":187,"keywords":189,"publishedAt":31},"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",[188],{"categoryNo":114,"categoryName":115,"taxonomyType":116,"taxonomyTypeDesc":117},[190,125,122,123,29,164,28,25,191,192,193,120,194,195,30],"Managing Test Environments","data","infrastructure","setup","environment","manage",{"skillNo":197,"name":198,"nameZh":6,"description":199,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":200,"categories":201,"keywords":203,"publishedAt":31},"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",[202],{"categoryNo":114,"categoryName":115,"taxonomyType":116,"taxonomyTypeDesc":117},[125,204,205,30,122,123,29,28,25,139,140,193],"Generating Test Doubles","dependency"]