# Providing Performance Optimization Advice

> Produce a prioritized performance-optimization roadmap across frontend, backend, and infrastructure. Use as an explicit/manual helper after bottlenecks are known or suspected, not as the owner of regression detection, profiling capture, or test execution.

- Skill: `gabrielmoreira/providing-performance-optimization-advice` (Agent Skill)
- Install (CLI): `npx skillmds@latest add gabrielmoreira/providing-performance-optimization-advice`
- Raw SKILL.md: https://api.skillmd.com/api/skills/gabrielmoreira/providing-performance-optimization-advice/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Product & Planning
- License: MIT
- Author: gabrielmoreira (https://skillmd.com/u/gabrielmoreira)
- Updated: 2026-09-09
- Page: https://skillmd.com/skills/gabrielmoreira/providing-performance-optimization-advice

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# Performance Optimization Advisor

## Positioning

Treat this skill as an explicit/manual advisor for prioritizing optimization work.

## When to Use

Use this skill when:
- Prioritizing known or suspected performance bottlenecks from existing logs, traces, benchmarks, or user reports.
- Get recommendations for improving website loading speed.
- Optimize database query performance.
- Improve API response times.
- Reduce infrastructure costs.

## Not For / Boundaries

- Build-to-build regression detection: use `detecting-performance-regressions`
- Raw benchmark execution or profiling capture: use `performance-testing`
- Test-result packaging for QA audiences: use `generating-test-reports`

## Typical Outputs

- A ranked optimization backlog by impact and effort
- Concrete hotspots by layer: frontend, backend, infra, or database
- Suggested validation steps to prove the optimization worked

## Related Skills

- `detecting-performance-regressions` to prove there is a real regression
- `performance-testing` to collect the measurements behind the advice