[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M719FYMBXRXM7M0RSAGQB80P":3,"skill-same:01M719FYMBXRXM7M0RSAGQB80P":62},{"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":30,"linkOnly":31,"markdownContent":32,"markdownBody":33,"frontMatter":34,"refName":36,"commitSha":37,"skillDirectory":38,"forksCount":14,"repositoryHtmlUrl":39,"repositoryHomepageUrl":6,"ownerHtmlUrl":40,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":41,"install":42,"resources":55},"01M719FYMBXRXM7M0RSAGQB80P","performance-profiling",null,"Performance profiling principles. Measurement, analysis, and optimization techniques.","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\u002Fglobal\u002Fperformance-profiling\u002FSKILL.md",[],[19,20,21,22,23,24,25,26,27,28,29],"performance","performance profiling","profiling","Optimization","analysis","community","principles","measurement","techniques","unknown","2026","2026-11-10 10:12:30",false,"---\nname: performance-profiling\ndescription: \"Performance profiling principles. Measurement, analysis, and optimization techniques.\"\nrisk: unknown\nsource: community\ndate_added: \"2026-02-27\"\n---\n\n# Performance Profiling\n\n> Measure, analyze, optimize - in that order.\n\n## 🔧 Runtime Scripts\n\n**Execute these for automated profiling:**\n\n| Script | Purpose | Usage |\n|--------|---------|-------|\n| `scripts\u002Flighthouse_audit.py` | Lighthouse performance audit | `python scripts\u002Flighthouse_audit.py https:\u002F\u002Fexample.com` |\n\n---\n\n## 1. Core Web Vitals\n\n### Targets\n\n| Metric | Good | Poor | Measures |\n|--------|------|------|----------|\n| **LCP** | \u003C 2.5s | > 4.0s | Loading |\n| **INP** | \u003C 200ms | > 500ms | Interactivity |\n| **CLS** | \u003C 0.1 | > 0.25 | Stability |\n\n### When to Measure\n\n| Stage | Tool |\n|-------|------|\n| Development | Local Lighthouse |\n| CI\u002FCD | Lighthouse CI |\n| Production | RUM (Real User Monitoring) |\n\n---\n\n## 2. Profiling Workflow\n\n### The 4-Step Process\n\n```\n1. BASELINE → Measure current state\n2. IDENTIFY → Find the bottleneck\n3. FIX → Make targeted change\n4. VALIDATE → Confirm improvement\n```\n\n### Profiling Tool Selection\n\n| Problem | Tool |\n|---------|------|\n| Page load | Lighthouse |\n| Bundle size | Bundle analyzer |\n| Runtime | DevTools Performance |\n| Memory | DevTools Memory |\n| Network | DevTools Network |\n\n---\n\n## 3. Bundle Analysis\n\n### What to Look For\n\n| Issue | Indicator |\n|-------|-----------|\n| Large dependencies | Top of bundle |\n| Duplicate code | Multiple chunks |\n| Unused code | Low coverage |\n| Missing splits | Single large chunk |\n\n### Optimization Actions\n\n| Finding | Action |\n|---------|--------|\n| Big library | Import specific modules |\n| Duplicate deps | Dedupe, update versions |\n| Route in main | Code split |\n| Unused exports | Tree shake |\n\n---\n\n## 4. Runtime Profiling\n\n### Performance Tab Analysis\n\n| Pattern | Meaning |\n|---------|---------|\n| Long tasks (>50ms) | UI blocking |\n| Many small tasks | Possible batching opportunity |\n| Layout\u002Fpaint | Rendering bottleneck |\n| Script | JavaScript execution |\n\n### Memory Tab Analysis\n\n| Pattern | Meaning |\n|---------|---------|\n| Growing heap | Possible leak |\n| Large retained | Check references |\n| Detached DOM | Not cleaned up |\n\n---\n\n## 5. Common Bottlenecks\n\n### By Symptom\n\n| Symptom | Likely Cause |\n|---------|--------------|\n| Slow initial load | Large JS, render blocking |\n| Slow interactions | Heavy event handlers |\n| Jank during scroll | Layout thrashing |\n| Growing memory | Leaks, retained refs |\n\n---\n\n## 6. Quick Win Priorities\n\n| Priority | Action | Impact |\n|----------|--------|--------|\n| 1 | Enable compression | High |\n| 2 | Lazy load images | High |\n| 3 | Code split routes | High |\n| 4 | Cache static assets | Medium |\n| 5 | Optimize images | Medium |\n\n---\n\n## 7. Anti-Patterns\n\n| ❌ Don't | ✅ Do |\n|----------|-------|\n| Guess at problems | Profile first |\n| Micro-optimize | Fix biggest issue |\n| Optimize early | Optimize when needed |\n| Ignore real users | Use RUM data |\n\n---\n\n> **Remember:** The fastest code is code that doesn't run. Remove before optimizing.\n\n## When to Use\nThis skill is applicable to execute the workflow or actions described in the overview.\n","# Performance Profiling\n\n> Measure, analyze, optimize - in that order.\n\n## 🔧 Runtime Scripts\n\n**Execute these for automated profiling:**\n\n| Script | Purpose | Usage |\n|--------|---------|-------|\n| `scripts\u002Flighthouse_audit.py` | Lighthouse performance audit | `python scripts\u002Flighthouse_audit.py https:\u002F\u002Fexample.com` |\n\n---\n\n## 1. Core Web Vitals\n\n### Targets\n\n| Metric | Good | Poor | Measures |\n|--------|------|------|----------|\n| **LCP** | \u003C 2.5s | > 4.0s | Loading |\n| **INP** | \u003C 200ms | > 500ms | Interactivity |\n| **CLS** | \u003C 0.1 | > 0.25 | Stability |\n\n### When to Measure\n\n| Stage | Tool |\n|-------|------|\n| Development | Local Lighthouse |\n| CI\u002FCD | Lighthouse CI |\n| Production | RUM (Real User Monitoring) |\n\n---\n\n## 2. Profiling Workflow\n\n### The 4-Step Process\n\n```\n1. BASELINE → Measure current state\n2. IDENTIFY → Find the bottleneck\n3. FIX → Make targeted change\n4. VALIDATE → Confirm improvement\n```\n\n### Profiling Tool Selection\n\n| Problem | Tool |\n|---------|------|\n| Page load | Lighthouse |\n| Bundle size | Bundle analyzer |\n| Runtime | DevTools Performance |\n| Memory | DevTools Memory |\n| Network | DevTools Network |\n\n---\n\n## 3. Bundle Analysis\n\n### What to Look For\n\n| Issue | Indicator |\n|-------|-----------|\n| Large dependencies | Top of bundle |\n| Duplicate code | Multiple chunks |\n| Unused code | Low coverage |\n| Missing splits | Single large chunk |\n\n### Optimization Actions\n\n| Finding | Action |\n|---------|--------|\n| Big library | Import specific modules |\n| Duplicate deps | Dedupe, update versions |\n| Route in main | Code split |\n| Unused exports | Tree shake |\n\n---\n\n## 4. Runtime Profiling\n\n### Performance Tab Analysis\n\n| Pattern | Meaning |\n|---------|---------|\n| Long tasks (>50ms) | UI blocking |\n| Many small tasks | Possible batching opportunity |\n| Layout\u002Fpaint | Rendering bottleneck |\n| Script | JavaScript execution |\n\n### Memory Tab Analysis\n\n| Pattern | Meaning |\n|---------|---------|\n| Growing heap | Possible leak |\n| Large retained | Check references |\n| Detached DOM | Not cleaned up |\n\n---\n\n## 5. Common Bottlenecks\n\n### By Symptom\n\n| Symptom | Likely Cause |\n|---------|--------------|\n| Slow initial load | Large JS, render blocking |\n| Slow interactions | Heavy event handlers |\n| Jank during scroll | Layout thrashing |\n| Growing memory | Leaks, retained refs |\n\n---\n\n## 6. Quick Win Priorities\n\n| Priority | Action | Impact |\n|----------|--------|--------|\n| 1 | Enable compression | High |\n| 2 | Lazy load images | High |\n| 3 | Code split routes | High |\n| 4 | Cache static assets | Medium |\n| 5 | Optimize images | Medium |\n\n---\n\n## 7. Anti-Patterns\n\n| ❌ Don't | ✅ Do |\n|----------|-------|\n| Guess at problems | Profile first |\n| Micro-optimize | Fix biggest issue |\n| Optimize early | Optimize when needed |\n| Ignore real users | Use RUM data |\n\n---\n\n> **Remember:** The fastest code is code that doesn't run. Remove before optimizing.\n\n## When to Use\nThis skill is applicable to execute the workflow or actions described in the overview.\n",{"name":5,"risk":28,"source":24,"date_added":35,"description":7},"2026-02-27","main","7a38d8e7073e61c16eda85681cb32fb68a8657a5","skills-store\u002Fglobal\u002Fperformance-profiling","https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router","https:\u002F\u002Fgithub.com\u002Fsapsapshen","2026-04-14 21:12:12",{"source":8,"skillName":5,"commands":43,"prompt":53,"zipAvailable":54},[44,47,50],{"tool":45,"command":46},"npx","npx skills add sapsapshen\u002Fai-memory-router --skill performance-profiling",{"tool":48,"command":49},"bunx","bunx skills add sapsapshen\u002Fai-memory-router --skill performance-profiling",{"tool":51,"command":52},"pnpm","pnpm dlx skills add sapsapshen\u002Fai-memory-router --skill performance-profiling","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router\u002Fblob\u002Fmain\u002Fskills-store\u002Fglobal\u002Fperformance-profiling\u002FSKILL.md",true,[56],{"path":57,"resourceType":58,"resourceTypeDesc":59,"sizeBytes":60,"sourceHtmlUrl":61},"scripts\u002Flighthouse_audit.py","SCRIPT","脚本",2657,"https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router\u002Fblob\u002Fmain\u002Fskills-store\u002Fglobal\u002Fperformance-profiling\u002Fscripts\u002Flighthouse_audit.py",[63,87,113,123,136,155],{"skillNo":64,"name":65,"nameZh":6,"description":66,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":67,"categories":68,"keywords":74,"publishedAt":30},"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",[69],{"categoryNo":70,"categoryName":71,"taxonomyType":72,"taxonomyTypeDesc":73},"01JBSEEDCAT000000000000037","律师与法务","PROFESSION","适用职业",[75,76,77,78,79,80,81,82,83,84,85,86],"wechat search","wechat","search","capabilities","openclaw","design","web search","compliance","web","official","fetch","with",{"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":30},"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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