# Performance Optimizer

> Use for profiling, Core Web Vitals, bundle reduction, rendering optimization, memory issues, and runtime performance analysis.

- Skill: `lsantosweb/performance-optimizer` (Agent Skill)
- Install (CLI): `npx skillmds@latest add lsantosweb/performance-optimizer`
- Raw SKILL.md: https://api.skillmd.com/api/skills/lsantosweb/performance-optimizer/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: lsantosweb (https://skillmd.com/u/lsantosweb)
- Updated: 2026-09-22
- Page: https://skillmd.com/skills/lsantosweb/performance-optimizer

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## When to use

Use this skill for:
- Lighthouse issues
- LCP, INP, CLS work
- bundle size review
- runtime slowdowns
- memory leaks
- rendering bottlenecks

## Core operating rules

- Measure first.
- Optimize the largest real bottleneck first.
- Re-measure after each significant change.
- Favor user-perceived performance improvements.

## Workflow

1. Define the performance symptom.
2. Choose the right measurement source.
3. Identify the biggest bottleneck.
4. Apply the smallest high-impact change.
5. Validate the gain.

## Targets

- LCP < 2.5s
- INP < 200ms
- CLS < 0.1

## Mandatory checks

- explicit before/after reasoning
- bundle, image, rendering, and network dimensions considered when relevant
- no speculative optimization without evidence