[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M71FSME29QBHT00430P5E6J3":3,"skill-same:01M71FSME29QBHT00430P5E6J3":101},{"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":50,"commitSha":51,"skillDirectory":52,"forksCount":53,"repositoryHtmlUrl":54,"repositoryHomepageUrl":6,"ownerHtmlUrl":55,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":56,"install":57,"resources":70},"01M71FSME29QBHT00430P5E6J3","analyzing-system-throughput",null,"Analyze and optimize system throughput including request handling, data processing, and resource utilization. Use when identifying capacity limits or evaluating scaling strategies. Trigger with phrases like \"analyze throughput\", \"optimize capacity\", or \"identify bottlenecks\".","JSGforever\u002Fskillguard","JSGforever","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F85541948?v=4","01M71FQD3E132VMR5F4TAYX3YS","01M71FQD4DYW0XJ4XQ4YQH75Y9",2,"MIT","https:\u002F\u002Fgithub.com\u002FJSGforever\u002Fskillguard\u002Fblob\u002Fmain\u002Fbenchmarks\u002Ffinal\u002Fskills\u002Fasset1__BbgnsurfTech--analyzing-system-throughput\u002FSKILL.md",[],[18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37],"analyzing","Analyzing System Throughput","throughput","system","request","limits","data processing","optimize","strategies","with","analyze","monitoring","capacity","Bash","when","use","trigger","performance","scaling","processing","2026-11-10 10:12:30",false,"---\nname: analyzing-system-throughput\ndescription: Analyze and optimize system throughput including request handling, data processing, and resource utilization. Use when identifying capacity limits or evaluating scaling strategies. Trigger with phrases like \"analyze throughput\", \"optimize capacity\", or \"identify bottlenecks\".\nversion: 1.0.0\nallowed-tools:\n- Read\n- Write\n- Bash(performance:*)\n- Bash(monitoring:*)\n- Grep\nlicense: MIT\n---\n## Overview\n\nThis skill allows Claude to analyze system performance and identify areas for throughput optimization. It uses the `throughput-analyzer` plugin to provide insights into request handling, data processing, and resource utilization.\n\n## How It Works\n\n1. **Identify Critical Components**: Determines which system components are most relevant to throughput.\n2. **Analyze Throughput Metrics**: Gathers and analyzes current throughput metrics for the identified components.\n3. **Identify Limiting Factors**: Pinpoints the bottlenecks and constraints that are hindering optimal throughput.\n4. **Evaluate Scaling Strategies**: Explores potential scaling strategies and their impact on overall throughput.\n\n## When to Use This Skill\n\nThis skill activates when you need to:\n- Analyze system throughput to identify performance bottlenecks.\n- Optimize system performance for increased capacity.\n- Evaluate scaling strategies to improve throughput.\n\n## Examples\n\n### Example 1: Analyzing Web Server Throughput\n\nUser request: \"Analyze the throughput of my web server and identify any bottlenecks.\"\n\nThe skill will:\n1. Activate the `throughput-analyzer` plugin.\n2. Analyze request throughput, data throughput, and resource saturation of the web server.\n3. Provide a report identifying potential bottlenecks and optimization opportunities.\n\n### Example 2: Optimizing Data Processing Pipeline\n\nUser request: \"Optimize the throughput of my data processing pipeline.\"\n\nThe skill will:\n1. Activate the `throughput-analyzer` plugin.\n2. Analyze data throughput, queue processing, and concurrency limits of the data processing pipeline.\n3. Suggest improvements to increase data processing rates and overall throughput.\n\n## Best Practices\n\n- **Component Selection**: Focus the analysis on the most throughput-critical components to avoid unnecessary overhead.\n- **Metric Interpretation**: Carefully interpret throughput metrics to accurately identify limiting factors.\n- **Scaling Evaluation**: Thoroughly evaluate the potential impact of scaling strategies before implementation.\n\n## Integration\n\nThis skill can be used in conjunction with other monitoring and performance analysis tools to gain a more comprehensive understanding of system behavior. It provides a starting point for further investigation and optimization efforts.\n\n## Prerequisites\n\n- Access to throughput metrics in {baseDir}\u002Fmetrics\u002Fthroughput\u002F\n- System performance monitoring tools\n- Historical throughput baselines\n- Current capacity and scaling limits\n\n## Instructions\n\n1. Identify critical system components for throughput analysis\n2. Collect request and data throughput metrics\n3. Analyze resource saturation and queue depths\n4. Identify bottlenecks and limiting factors\n5. Evaluate horizontal and vertical scaling strategies\n6. Generate capacity planning recommendations\n\n## Output\n\n- Throughput analysis reports with current capacity\n- Bottleneck identification and root cause analysis\n- Resource saturation metrics\n- Scaling strategy recommendations\n- Capacity planning projections\n\n## Error Handling\n\nIf throughput analysis fails:\n- Verify metrics collection infrastructure\n- Check system monitoring tool access\n- Validate historical baseline data\n- Ensure performance testing environment\n- Review component identification logic\n\n## Resources\n\n- Throughput optimization best practices\n- Capacity planning methodologies\n- Scaling strategy comparison guides\n- Performance bottleneck detection techniques","## Overview\n\nThis skill allows Claude to analyze system performance and identify areas for throughput optimization. It uses the `throughput-analyzer` plugin to provide insights into request handling, data processing, and resource utilization.\n\n## How It Works\n\n1. **Identify Critical Components**: Determines which system components are most relevant to throughput.\n2. **Analyze Throughput Metrics**: Gathers and analyzes current throughput metrics for the identified components.\n3. **Identify Limiting Factors**: Pinpoints the bottlenecks and constraints that are hindering optimal throughput.\n4. **Evaluate Scaling Strategies**: Explores potential scaling strategies and their impact on overall throughput.\n\n## When to Use This Skill\n\nThis skill activates when you need to:\n- Analyze system throughput to identify performance bottlenecks.\n- Optimize system performance for increased capacity.\n- Evaluate scaling strategies to improve throughput.\n\n## Examples\n\n### Example 1: Analyzing Web Server Throughput\n\nUser request: \"Analyze the throughput of my web server and identify any bottlenecks.\"\n\nThe skill will:\n1. Activate the `throughput-analyzer` plugin.\n2. Analyze request throughput, data throughput, and resource saturation of the web server.\n3. Provide a report identifying potential bottlenecks and optimization opportunities.\n\n### Example 2: Optimizing Data Processing Pipeline\n\nUser request: \"Optimize the throughput of my data processing pipeline.\"\n\nThe skill will:\n1. Activate the `throughput-analyzer` plugin.\n2. Analyze data throughput, queue processing, and concurrency limits of the data processing pipeline.\n3. Suggest improvements to increase data processing rates and overall throughput.\n\n## Best Practices\n\n- **Component Selection**: Focus the analysis on the most throughput-critical components to avoid unnecessary overhead.\n- **Metric Interpretation**: Carefully interpret throughput metrics to accurately identify limiting factors.\n- **Scaling Evaluation**: Thoroughly evaluate the potential impact of scaling strategies before implementation.\n\n## Integration\n\nThis skill can be used in conjunction with other monitoring and performance analysis tools to gain a more comprehensive understanding of system behavior. It provides a starting point for further investigation and optimization efforts.\n\n## Prerequisites\n\n- Access to throughput metrics in {baseDir}\u002Fmetrics\u002Fthroughput\u002F\n- System performance monitoring tools\n- Historical throughput baselines\n- Current capacity and scaling limits\n\n## Instructions\n\n1. Identify critical system components for throughput analysis\n2. Collect request and data throughput metrics\n3. Analyze resource saturation and queue depths\n4. Identify bottlenecks and limiting factors\n5. Evaluate horizontal and vertical scaling strategies\n6. Generate capacity planning recommendations\n\n## Output\n\n- Throughput analysis reports with current capacity\n- Bottleneck identification and root cause analysis\n- Resource saturation metrics\n- Scaling strategy recommendations\n- Capacity planning projections\n\n## Error Handling\n\nIf throughput analysis fails:\n- Verify metrics collection infrastructure\n- Check system monitoring tool access\n- Validate historical baseline data\n- Ensure performance testing environment\n- Review component identification logic\n\n## Resources\n\n- Throughput optimization best practices\n- Capacity planning methodologies\n- Scaling strategy comparison guides\n- Performance bottleneck detection techniques",{"name":5,"license":14,"version":43,"description":7,"allowed-tools":44},"1.0.0",[45,46,47,48,49],"Read","Write","Bash(performance:*)","Bash(monitoring:*)","Grep","main","f2ec4b3b9133d34eeaf9b38e4b0a97e8e5705a7f","benchmarks\u002Ffinal\u002Fskills\u002Fasset1__BbgnsurfTech--analyzing-system-throughput",0,"https:\u002F\u002Fgithub.com\u002FJSGforever\u002Fskillguard","https:\u002F\u002Fgithub.com\u002FJSGforever","2026-08-29 18:27:56",{"source":8,"skillName":5,"commands":58,"prompt":68,"zipAvailable":69},[59,62,65],{"tool":60,"command":61},"npx","npx skills add JSGforever\u002Fskillguard --skill analyzing-system-throughput",{"tool":63,"command":64},"bunx","bunx skills add JSGforever\u002Fskillguard --skill analyzing-system-throughput",{"tool":66,"command":67},"pnpm","pnpm dlx skills add JSGforever\u002Fskillguard --skill analyzing-system-throughput","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FJSGforever\u002Fskillguard\u002Fblob\u002Fmain\u002Fbenchmarks\u002Ffinal\u002Fskills\u002Fasset1__BbgnsurfTech--analyzing-system-throughput\u002FSKILL.md",true,[71,77,83,89,93,97],{"path":72,"resourceType":73,"resourceTypeDesc":74,"sizeBytes":75,"sourceHtmlUrl":76},"assets\u002FREADME.md","ASSET","资产文件",304,"https:\u002F\u002Fgithub.com\u002FJSGforever\u002Fskillguard\u002Fblob\u002Fmain\u002Fbenchmarks\u002Ffinal\u002Fskills\u002Fasset1__BbgnsurfTech--analyzing-system-throughput\u002Fassets\u002FREADME.md",{"path":78,"resourceType":79,"resourceTypeDesc":80,"sizeBytes":81,"sourceHtmlUrl":82},"references\u002FREADME.md","REFERENCE","参考文档",457,"https:\u002F\u002Fgithub.com\u002FJSGforever\u002Fskillguard\u002Fblob\u002Fmain\u002Fbenchmarks\u002Ffinal\u002Fskills\u002Fasset1__BbgnsurfTech--analyzing-system-throughput\u002Freferences\u002FREADME.md",{"path":84,"resourceType":85,"resourceTypeDesc":86,"sizeBytes":87,"sourceHtmlUrl":88},"scripts\u002Fanalyze_throughput.py","SCRIPT","脚本",4830,"https:\u002F\u002Fgithub.com\u002FJSGforever\u002Fskillguard\u002Fblob\u002Fmain\u002Fbenchmarks\u002Ffinal\u002Fskills\u002Fasset1__BbgnsurfTech--analyzing-system-throughput\u002Fscripts\u002Fanalyze_throughput.py",{"path":90,"resourceType":85,"resourceTypeDesc":86,"sizeBytes":91,"sourceHtmlUrl":92},"scripts\u002Fidentify_bottlenecks.sh",2923,"https:\u002F\u002Fgithub.com\u002FJSGforever\u002Fskillguard\u002Fblob\u002Fmain\u002Fbenchmarks\u002Ffinal\u002Fskills\u002Fasset1__BbgnsurfTech--analyzing-system-throughput\u002Fscripts\u002Fidentify_bottlenecks.sh",{"path":94,"resourceType":85,"resourceTypeDesc":86,"sizeBytes":95,"sourceHtmlUrl":96},"scripts\u002Foptimize_concurrency.py",2919,"https:\u002F\u002Fgithub.com\u002FJSGforever\u002Fskillguard\u002Fblob\u002Fmain\u002Fbenchmarks\u002Ffinal\u002Fskills\u002Fasset1__BbgnsurfTech--analyzing-system-throughput\u002Fscripts\u002Foptimize_concurrency.py",{"path":98,"resourceType":85,"resourceTypeDesc":86,"sizeBytes":99,"sourceHtmlUrl":100},"scripts\u002FREADME.md",461,"https:\u002F\u002Fgithub.com\u002FJSGforever\u002Fskillguard\u002Fblob\u002Fmain\u002Fbenchmarks\u002Ffinal\u002Fskills\u002Fasset1__BbgnsurfTech--analyzing-system-throughput\u002Fscripts\u002FREADME.md",[102,134,149,174,195,215],{"skillNo":103,"name":104,"nameZh":6,"description":105,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":106,"licenseFileUrl":6,"sourceHtmlUrl":107,"categories":108,"keywords":114,"publishedAt":38},"01M71HY2SNXBA9Q00WZDTZQ31Z","skillguard-codex-scanner","Hybrid deterministic+LLM agent-skill security scanner. Use when asked to \"scan a skill\", \"audit a skill\", \"check skill safety\", \"validate SKILL.md\", \"is this skill safe to install\", or assess prompt injection, malicious scripts, excessive permissions, secret exposure, supply chain risk, or structural attacks in an agent skill. Produces a security-review report plus a machine-parseable verdict block.","GPL-3.0","https:\u002F\u002Fgithub.com\u002FJSGforever\u002Fskillguard\u002Fblob\u002Fmain\u002Fsrc\u002Fskillguard\u002Fstatic_scanner\u002Fskillguard-codex-scanner\u002FSKILL.md",[109],{"categoryNo":110,"categoryName":111,"taxonomyType":112,"taxonomyTypeDesc":113},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",[115,116,117,118,119,120,121,122,123,124,125,126,32,127,128,129,130,131,132,133],"scanner","skillguard codex scanner","skillguard","codex","chain","skill security","security-review","review report","structural","secret","prompt injection","security scanner","review","malicious","permissions","exposure","audit","scripts","safe",{"skillNo":135,"name":136,"nameZh":6,"description":137,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":138,"categories":139,"keywords":145,"publishedAt":38},"01M71HY0SPKTT3S27BC2HPAC5M","data-exfiltrator","Analyzes data files","https:\u002F\u002Fgithub.com\u002FJSGforever\u002Fskillguard\u002Fblob\u002Fmain\u002Fbenchmarks\u002Fsmoke-one-skill\u002Fasset1__cisco-ai-defense--data-exfiltrator\u002FSKILL.md",[140],{"categoryNo":141,"categoryName":142,"taxonomyType":143,"taxonomyTypeDesc":144},"01JBSEEDCAT000000000000033","数据分析师","PROFESSION","适用职业",[146,147,148],"data","data exfiltrator","files",{"skillNo":150,"name":151,"nameZh":6,"description":152,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":106,"licenseFileUrl":6,"sourceHtmlUrl":153,"categories":154,"keywords":155,"publishedAt":38},"01M71HXVS9EMN44BGDW215FZ72","real-time-collaboration-engine","Build real-time collaborative editing with WebSockets, OT\u002FCRDT conflict resolution, and presence awareness. Implements cursor tracking, optimistic updates, and offline sync. Use for collaborative editors, whiteboards, video editing. Activate on \"real-time collaboration\", \"WebSocket sync\", \"multiplayer editing\", \"CRDT\", \"presence awareness\". NOT for simple chat, request-response APIs, or single-user apps.","https:\u002F\u002Fgithub.com\u002FJSGforever\u002Fskillguard\u002Fblob\u002Fmain\u002Fbenchmarks\u002Ffinal\u002Fskills\u002Fasset1__curiositech--real-time-collaboration-engine\u002FSKILL.md",[],[156,157,158,159,160,161,162,163,164,35,165,166,167,168,169,31,170,171,172,173],"time","real time collaboration engine","real time collaboration","collaboration","engine","real time","Video","reliability","video editing","conflict resolution","presence","access","apps","updates","activate","optimizer","react","streaming",{"skillNo":175,"name":176,"nameZh":6,"description":177,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":106,"licenseFileUrl":6,"sourceHtmlUrl":178,"categories":179,"keywords":183,"publishedAt":38},"01M71HXP6CTY4KFN0QVMMN0V7J","react-performance-optimizer","Optimize React apps for 60fps performance. Implements memoization, virtualization, code splitting, bundle optimization. Use for slow renders, large lists, bundle bloat. Activate on \"React performance\", \"slow render\", \"useMemo\", \"bundle size\", \"virtualization\". NOT for backend optimization, non-React frameworks, or premature optimization.","https:\u002F\u002Fgithub.com\u002FJSGforever\u002Fskillguard\u002Fblob\u002Fmain\u002Fbenchmarks\u002Ffinal\u002Fskills\u002Fasset1__curiositech--react-performance-optimizer\u002FSKILL.md",[180],{"categoryNo":181,"categoryName":182,"taxonomyType":112,"taxonomyTypeDesc":113},"01JBSEEDCAT000000000000009","前端开发",[35,184,171,172,185,186,187,188,189,190,156,191,192,168,31,193,170,173,194,26],"react performance optimizer","react performance","performance optimizer","app","nextjs","expert","re","render","2025","code","router",{"skillNo":196,"name":197,"nameZh":6,"description":198,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":106,"licenseFileUrl":6,"sourceHtmlUrl":199,"categories":200,"keywords":202,"publishedAt":38},"01M71HXH7QXSQB4QTDZ7SP7YXQ","llm-streaming-response-handler","Build production LLM streaming UIs with Server-Sent Events, real-time token display, cancellation, error recovery. Handles OpenAI\u002FAnthropic\u002FClaude streaming APIs. Use for chatbots, AI assistants, real-time text generation. Activate on \"LLM streaming\", \"SSE\", \"token stream\", \"chat UI\", \"real-time AI\". NOT for batch processing, non-streaming APIs, or WebSocket bidirectional chat.","https:\u002F\u002Fgithub.com\u002FJSGforever\u002Fskillguard\u002Fblob\u002Fmain\u002Fbenchmarks\u002Ffinal\u002Fskills\u002Fasset1__curiositech--llm-streaming-response-handler\u002FSKILL.md",[201],{"categoryNo":181,"categoryName":182,"taxonomyType":112,"taxonomyTypeDesc":113},[203,173,204,205,37,206,35,156,207,208,209,31,170,171,210,172,211,212,213,214],"llm streaming response handler","handler","error","retry","chat ui","error recovery","critical","batch","display","text","server","read",{"skillNo":216,"name":217,"nameZh":6,"description":218,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":106,"licenseFileUrl":6,"sourceHtmlUrl":219,"categories":220,"keywords":228,"publishedAt":38},"01M71HXCB0E1YRKYW1Y8T0Y106","github-actions-pipeline-builder","Build production CI\u002FCD pipelines with GitHub Actions. Implements matrix builds, caching, deployments, testing, security scanning. Use for automated testing, deployments, release workflows. Activate on \"GitHub Actions\", \"CI\u002FCD\", \"workflow\", \"deployment pipeline\", \"automated testing\". NOT for Jenkins\u002FCircleCI, manual deployments, or non-GitHub repositories.","https:\u002F\u002Fgithub.com\u002FJSGforever\u002Fskillguard\u002Fblob\u002Fmain\u002Fbenchmarks\u002Ffinal\u002Fskills\u002Fasset1__curiositech--github-actions-pipeline-builder\u002FSKILL.md",[221,224,227],{"categoryNo":222,"categoryName":223,"taxonomyType":112,"taxonomyTypeDesc":113},"01JBSEEDCAT000000000000008","测试与质量",{"categoryNo":225,"categoryName":226,"taxonomyType":112,"taxonomyTypeDesc":113},"01JBSEEDCAT000000000000011","运维与部署",{"categoryNo":110,"categoryName":111,"taxonomyType":112,"taxonomyTypeDesc":113},[229,230,231,232,233,234,235,163,189,236,237,238,170,26,239,214,240,241,242,243],"github actions pipeline builder","actions","github actions","pipeline builder","github","builder","pipeline","testing","ci","workflows","run","release","write","edit","git"]