performance-profiling

v2026.09.24

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

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SKILL.md

Performance Profiling

Measure, analyze, optimize - in that order.

🔧 Runtime Scripts

Execute these for automated profiling:

ScriptPurposeUsage
scripts/lighthouse_audit.pyLighthouse performance auditpython scripts/lighthouse_audit.py https://example.com

1. Core Web Vitals

Targets

MetricGoodPoorMeasures
LCP< 2.5s> 4.0sLoading
INP< 200ms> 500msInteractivity
CLS< 0.1> 0.25Stability

When to Measure

StageTool
DevelopmentLocal Lighthouse
CI/CDLighthouse CI
ProductionRUM (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

ProblemTool
Page loadLighthouse
Bundle sizeBundle analyzer
RuntimeDevTools Performance
MemoryDevTools Memory
NetworkDevTools Network

3. Bundle Analysis

What to Look For

IssueIndicator
Large dependenciesTop of bundle
Duplicate codeMultiple chunks
Unused codeLow coverage
Missing splitsSingle large chunk

Optimization Actions

FindingAction
Big libraryImport specific modules
Duplicate depsDedupe, update versions
Route in mainCode split
Unused exportsTree shake

4. Runtime Profiling

Performance Tab Analysis

PatternMeaning
Long tasks (>50ms)UI blocking
Many small tasksPossible batching opportunity
Layout/paintRendering bottleneck
ScriptJavaScript execution

Memory Tab Analysis

PatternMeaning
Growing heapPossible leak
Large retainedCheck references
Detached DOMNot cleaned up

5. Common Bottlenecks

By Symptom

SymptomLikely Cause
Slow initial loadLarge JS, render blocking
Slow interactionsHeavy event handlers
Jank during scrollLayout thrashing
Growing memoryLeaks, retained refs

6. Quick Win Priorities

PriorityActionImpact
1Enable compressionHigh
2Lazy load imagesHigh
3Code split routesHigh
4Cache static assetsMedium
5Optimize imagesMedium

7. Anti-Patterns

❌ Don't✅ Do
Guess at problemsProfile first
Micro-optimizeFix biggest issue
Optimize earlyOptimize when needed
Ignore real usersUse RUM data

Remember: The fastest code is code that doesn't run. Remove before optimizing.

When to Use

This skill is applicable to execute the workflow or actions described in the overview.

Limitations

  • Use this skill only when the task clearly matches the scope described above.
  • Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
  • Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.
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Version
Latest version metadata

Version

v2026.09.24

Published

Sep 24, 2026

Category

Uncategorized

License

MIT

Source path

skills/performance-profiling

Default branch

main

Latest commit

7b534bc

Tree SHA

8d3d722