Skip to main content

performance-profiling

Performance profiling principles. Measurement, analysis, and optimization techniques.

معلومات المصدر

المستودع
skeletorflet/opencode-kit
آخر نشاط في المصدر
٣١ مارس ٢٠٢٦ في ١٩:١٢
لغة SKILL.md المكتشفة
الإنجليزية
النجوم
٩
التفرعات
١

خيارات التثبيت

يُحدَّد Prompt الذي يراجع المصدر أولًا بشكل افتراضي. يمكنك التبديل إلى أمر مباشر أو تنزيل نسخة محلية.

مراجعة ملفات المصدر

اقرأ SKILL.md وأي ملفات مرافقة يعرضها SkillsMP قبل أن تقرر التثبيت.

مستكشف الملفات
2 ملفات

عرض SKILL.md

SKILL.md
تعليمات المصدر · معاينة للقراءة فقط
name
performance-profiling
description
Performance profiling principles. Measurement, analysis, and optimization techniques.
# Performance Profiling > Measure, analyze, optimize - in that order. ## 🔧 Runtime Scripts **Execute these for automated profiling:** | Script | Purpose | Usage | |--------|---------|-------| | `scripts/lighthouse_audit.py` | Lighthouse performance audit | `python scripts/lighthouse_audit.py https://example.com` | --- ## 1. Core Web Vitals ### Targets | Metric | Good | Poor | Measures | |--------|------|------|----------| | **LCP** | < 2.5s | > 4.0s | Loading | | **INP** | < 200ms | > 500ms | Interactivity | | **CLS** | < 0.1 | > 0.25 | Stability | ### When to Measure | Stage | Tool | |-------|------| | Development | Local Lighthouse | | CI/CD | Lighthouse CI | | Production | RUM (Real User Monitoring) | --- ## 2. Profiling Workflow ### The 4-Step Process ``` 1. BASELINE → Measure current state 2. IDENTIFY → Find the bottleneck 3. FIX → Make targeted change 4. VALIDATE → Confirm improvement ``` ### Profiling Tool Selection | Problem | Tool | |---------|------| | Page load | Lighthouse | | Bundle size | Bundle analyzer | | Runtime | DevTools Performance | | Memory | DevTools Memory | | Network | DevTools Network | --- ## 3. Bundle Analysis ### What to Look For | Issue | Indicator | |-------|-----------| | Large dependencies | Top of bundle | | Duplicate code | Multiple chunks | | Unused code | Low coverage | | Missing splits | Single large chunk | ### Optimization Actions | Finding | Action | |---------|--------| | Big library | Import specific modules | | Duplicate deps | Dedupe, update versions | | Route in main | Code split | | Unused exports | Tree shake | --- ## 4. Runtime Profiling ### Performance Tab Analysis | Pattern | Meaning | |---------|---------| | Long tasks (>50ms) | UI blocking | | Many small tasks | Possible batching opportunity | | Layout/paint | Rendering bottleneck | | Script | JavaScript execution | ### Memory Tab Analysis | Pattern | Meaning | |---------|---------| | Growing heap | Possible leak | | Large retained | Check references | | Detached DOM | Not cleaned up | --- ## 5. Common Bottlenecks ### By Symptom | Symptom | Likely Cause | |---------|--------------| | Slow initial load | Large JS, render blocking | | Slow interactions | Heavy event handlers | | Jank during scroll | Layout thrashing | | Growing memory | Leaks, retained refs | --- ## 6. Quick Win Priorities | Priority | Action | Impact | |----------|--------|--------| | 1 | Enable compression | High | | 2 | Lazy load images | High | | 3 | Code split routes | High | | 4 | Cache static assets | Medium | | 5 | Optimize images | Medium | --- ## 7. Anti-Patterns | ❌ Don't | ✅ Do | |----------|-------| | Guess at problems | Profile first | | Micro-optimize | Fix biggest issue | | Optimize early | Optimize when needed | | Ignore real users | Use RUM data | --- > **Remember:** The fastest code is code that doesn't run. Remove before optimizing.
عرض على GitHub