[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6AEQ45SJ1QA201TWCM0G19H":3,"skill-same:01M6AEQ45SJ1QA201TWCM0G19H":84},{"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":39,"repositoryHtmlUrl":40,"repositoryHomepageUrl":41,"ownerHtmlUrl":42,"ownerBlogUrl":43,"ownerDescription":44,"updatedAt":45,"install":46,"resources":59},"01M6AEQ45SJ1QA201TWCM0G19H","performance-profiling",null,"Performance profiling principles. Measurement, analysis, and optimization techniques.","davila7\u002Fclaude-code-templates","davila7","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F6216945?v=4","01M6ADEWWFPS191NFM0Y1EX1JH","Daniel Avila","01M6ADJHGM78PHQRD3XZTFDVKK",33481,"MIT","https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fdevelopment\u002Fperformance-profiling\u002FSKILL.md",[],[19,20,21,22,23,24,25,26,27,28,29],"performance","performance profiling","profiling","Optimization","analysis","Bash","grep","read","principles","measurement","techniques","2026-11-10 10:12:30",false,"---\nname: performance-profiling\ndescription: Performance profiling principles. Measurement, analysis, and optimization techniques.\nallowed-tools: Read, Glob, Grep, Bash\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","# 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",{"name":5,"description":7,"allowed-tools":35},"Read, Glob, Grep, Bash","main","2b749c82b5d11fac39d9a6e021ce3f5b8a541bd1","cli-tool\u002Fcomponents\u002Fskills\u002Fdevelopment\u002Fperformance-profiling",3931,"https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates","https:\u002F\u002Faitmpl.com","https:\u002F\u002Fgithub.com\u002Fdavila7","https:\u002F\u002Fdanielavila.me","Building AI dev tools with LLMs","2026-11-14 06:14:46",{"source":8,"skillName":5,"commands":47,"prompt":57,"zipAvailable":58},[48,51,54],{"tool":49,"command":50},"npx","npx skills add davila7\u002Fclaude-code-templates --skill performance-profiling",{"tool":52,"command":53},"bunx","bunx skills add davila7\u002Fclaude-code-templates --skill performance-profiling",{"tool":55,"command":56},"pnpm","pnpm dlx skills add davila7\u002Fclaude-code-templates --skill performance-profiling","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fdevelopment\u002Fperformance-profiling\u002FSKILL.md",true,[60,66,70,74,78],{"path":61,"resourceType":62,"resourceTypeDesc":63,"sizeBytes":64,"sourceHtmlUrl":65},"references\u002Fcpp_docs.md","REFERENCE","参考文档",7507,"https:\u002F\u002Fgithub.com\u002Fshengdabai\u002FTony-Claude-Code-Skills\u002Fblob\u002Fmain\u002Fskills\u002Frghamilton3-dotfiles\u002Fdot_claude\u002Fskills\u002Fcode-documenter\u002Freferences\u002Fcpp_docs.md",{"path":67,"resourceType":62,"resourceTypeDesc":63,"sizeBytes":68,"sourceHtmlUrl":69},"references\u002Fdart_flutter_docs.md",11350,"https:\u002F\u002Fgithub.com\u002Fshengdabai\u002FTony-Claude-Code-Skills\u002Fblob\u002Fmain\u002Fskills\u002Frghamilton3-dotfiles\u002Fdot_claude\u002Fskills\u002Fcode-documenter\u002Freferences\u002Fdart_flutter_docs.md",{"path":71,"resourceType":62,"resourceTypeDesc":63,"sizeBytes":72,"sourceHtmlUrl":73},"references\u002Fjavascript_typescript_docs.md",5353,"https:\u002F\u002Fgithub.com\u002Fshengdabai\u002FTony-Claude-Code-Skills\u002Fblob\u002Fmain\u002Fskills\u002Frghamilton3-dotfiles\u002Fdot_claude\u002Fskills\u002Fcode-documenter\u002Freferences\u002Fjavascript_typescript_docs.md",{"path":75,"resourceType":62,"resourceTypeDesc":63,"sizeBytes":76,"sourceHtmlUrl":77},"references\u002Fpython_docs.md",3347,"https:\u002F\u002Fgithub.com\u002Fshengdabai\u002FTony-Claude-Code-Skills\u002Fblob\u002Fmain\u002Fskills\u002Frghamilton3-dotfiles\u002Fdot_claude\u002Fskills\u002Fcode-documenter\u002Freferences\u002Fpython_docs.md",{"path":79,"resourceType":80,"resourceTypeDesc":81,"sizeBytes":82,"sourceHtmlUrl":83},"scripts\u002Flighthouse_audit.py","SCRIPT","脚本",2657,"https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fdevelopment\u002Fperformance-profiling\u002Fscripts\u002Flighthouse_audit.py",[85,117,144,177,212,236],{"skillNo":86,"name":87,"nameZh":6,"description":88,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":89,"categories":90,"keywords":96,"publishedAt":30},"01M70NHBTQ8BV0A2SCAZXEPHCX","wealthville-pool-scoring","Score DeFi liquidity pools before providing liquidity. Returns a 0-100 pool score and an Enter\u002FHold\u002FExit\u002FReduce\u002FAvoid verdict with calibrated confidence for ~68,800 Solana pools and 575 EVM pools, plus a public miss-inclusive track record. Use when asked whether a pool is worth LPing into, which pools look best right now, or how accurate the scores have actually been.","https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fweb-data\u002Fwealthville-pool-scoring\u002FSKILL.md",[91],{"categoryNo":92,"categoryName":93,"taxonomyType":94,"taxonomyTypeDesc":95},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",[97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116],"scoring","pool","wealthville pool scoring","liquidity","which","for","exit","now","use","when","reduce","with","record","track","verdict","evm","solana","how","public","look",{"skillNo":118,"name":119,"nameZh":6,"description":120,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":121,"categories":122,"keywords":124,"publishedAt":30},"01M70MB6VR8ERJ4EM8D5KHBMEV","technical-debt-auditor","Scans a codebase and produces a quantified technical debt report with a prioritized remediation plan. Analyzes dead code, TODO\u002FFIXME\u002FHACK markers, dependency staleness, complexity hotspots, code duplication signals, test coverage gaps, unused exports, and outdated patterns. Use this skill when the user asks to audit their codebase for tech debt, wants a health check of their code quality, says things like \"where should I focus refactoring\", \"find code smells\", \"audit my codebase\", \"what technical debt do we have\", \"prioritize cleanup work\", or asks about code quality metrics. Also trigger when the user mentions \"code rot\", \"legacy cleanup\", \"refactoring priorities\", or wants to understand the overall health of a project before a major effort. Trigger even if the user doesn't say \"technical debt\" explicitly — any request to systematically assess code quality and identify improvement priorities belongs here.","https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fdevelopment\u002Ftechnical-debt-auditor\u002FSKILL.md",[123],{"categoryNo":92,"categoryName":93,"taxonomyType":94,"taxonomyTypeDesc":95},[125,126,127,128,129,130,131,132,133,134,135,106,136,137,138,139,140,141,142,143],"technical debt","debt","technical","technical debt auditor","auditor","coverage","complexity","markers","project","cleanup","unused","code","todo","work","plan","focus","signals","audit","dependency",{"skillNo":145,"name":146,"nameZh":6,"description":147,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":148,"categories":149,"keywords":159,"publishedAt":30},"01M70KPYH9QNHCNME5GJQGE22K","readonly-sql-guard","Make an agent's database access provably read-only. Use when an agent runs caller-supplied SQL against a production\u002FERP\u002Fanalytics database (a \"query\" MCP tool, text-to-SQL, an admin console), or when reviewing DB-access code for write\u002FDDL\u002Fside-effect\u002Ftransaction-escape risks. Checks what a statement CALLS, not just its shape.","https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fdatabase\u002Freadonly-sql-guard\u002FSKILL.md",[150,153,154],{"categoryNo":151,"categoryName":152,"taxonomyType":94,"taxonomyTypeDesc":95},"01JBSEEDCAT000000000000010","后端与接口",{"categoryNo":92,"categoryName":93,"taxonomyType":94,"taxonomyTypeDesc":95},{"categoryNo":155,"categoryName":156,"taxonomyType":157,"taxonomyTypeDesc":158},"01JBSEEDCAT000000000000033","数据分析师","PROFESSION","适用职业",[160,161,162,163,164,165,166,102,167,168,169,170,171,172,173,105,174,175,106,176],"readonly","guard","sql guard","sql","readonly sql guard","erp","effect","read-only","db","just","tool","calls","only","MCP","access","database","query",{"skillNo":178,"name":179,"nameZh":6,"description":180,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":181,"licenseFileUrl":182,"sourceHtmlUrl":183,"categories":184,"keywords":188,"publishedAt":30},"01M6AFY6F7CC2BBZP1QD6VTNVC","web-artifacts-builder","Suite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn\u002Fui). Use for complex artifacts requiring state management, routing, or shadcn\u002Fui components - not for simple single-file HTML\u002FJSX artifacts.","Apache-2.0","https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Futilities\u002Fweb-artifacts-builder\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Futilities\u002Fweb-artifacts-builder\u002FSKILL.md",[185],{"categoryNo":186,"categoryName":187,"taxonomyType":94,"taxonomyTypeDesc":95},"01JBSEEDCAT000000000000009","前端开发",[189,190,191,192,193,194,195,196,197,198,199,200,201,202,203,204,205,206,207,208,209,210,102,211],"artifacts builder","web","web artifacts builder","artifacts","builder","state","routing","state management","component","css","frontend","ui","Tools","file","components","shadcn","react","Tailwind","suite","jsx","html","single-file","ui components",{"skillNo":213,"name":214,"nameZh":6,"description":215,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":181,"licenseFileUrl":216,"sourceHtmlUrl":217,"categories":218,"keywords":223,"publishedAt":30},"01M6AFWF33SFV9Z3SF4PEEE4BF","webapp-testing","Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.","https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fsecurity\u002Fwebapp-testing\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fsecurity\u002Fwebapp-testing\u002FSKILL.md",[219,222],{"categoryNo":220,"categoryName":221,"taxonomyType":94,"taxonomyTypeDesc":95},"01JBSEEDCAT000000000000008","测试与质量",{"categoryNo":186,"categoryName":187,"taxonomyType":94,"taxonomyTypeDesc":95},[224,225,226,227,228,190,229,199,200,230,231,232,233,102,234,108,235],"webapp testing","testing","webapp","browser","playwright","applications","debugging","toolkit","logs","screenshots","local","behavior",{"skillNo":237,"name":238,"nameZh":6,"description":239,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":181,"licenseFileUrl":240,"sourceHtmlUrl":241,"categories":242,"keywords":250,"publishedAt":30},"01M6AF67Q67JJJ5V51JR2P52KA","discernment-nudge","After you give a substantive answer or draft that the user may act on — advice or recommendations, drafted artifacts such as goals, plans, pitches, proposals, or emails, estimates or projections, analysis or interpretation of data, factual claims they may rely on, or a multi-step argument — invoke this skill BEFORE finalizing your reply and then, if it applies, append 2-3 short follow-up questions, each tied to something specific in what you just produced, that help the user check key facts, probe the reasoning or assumptions, and notice missing context. Do this at most once per conversation. Skip it when the user asked a trivial how-to or simple lookup, wants a purely educational explanation, asked you only to format, convert, or assemble a file from content they provided, is writing code they will run, is doing creative writing or casual chat, or already asked you to double-check, cite, or review — the skill file explains these boundaries and the exact output format.","https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fproductivity\u002Fdiscernment-nudge\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fproductivity\u002Fdiscernment-nudge\u002FSKILL.md",[243,246,247],{"categoryNo":244,"categoryName":245,"taxonomyType":94,"taxonomyTypeDesc":95},"01JBSEEDCAT000000000000018","写作与文案",{"categoryNo":92,"categoryName":93,"taxonomyType":94,"taxonomyTypeDesc":95},{"categoryNo":248,"categoryName":249,"taxonomyType":157,"taxonomyTypeDesc":158},"01JBSEEDCAT000000000000036","内容创作者",[251,252,253,254,255,256,257,258,192,259,202,136,260,261,262,263,264,172,265,106,266,23,267,268,269,114,270],"discernment nudge","nudge","interpretation","help","run","reasoning","data","writing","lookup","content","review","conversation","short","up","invoke","you","claims","argument","assemble","recommendations"]