How do I install the Performance Optimization skill?

Run npx skillmds@latest add greyhaven-ai-claude-code-config/performance-optimization in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Performance Optimization safe to use?

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Which AI agents work with Performance Optimization?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Performance Optimization free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Performance Optimization?

greyhaven-ai (@greyhaven-ai-claude-code-config) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Performance Optimization by greyhaven-ai-claude-code-config

Name: Performance Optimization
Rating: 4.2 (5 reviews)
Author: greyhaven-ai

Performance Optimization

Comprehensive performance analysis and optimization for algorithms (O(n²)→O(n)), databases (N+1 queries, indexes), React (memoization, virtual lists), bundles (code splitting), API caching, and memory leaks. 85%+ improvement rate. Use when application is slow, response times exceed SLA, high CPU/memory usage, performance budgets needed, or when user mentions 'performance', 'slow', 'optimization', 'bottleneck', 'speed up', 'latency', 'memory leak', or 'performance tuning'.

greyhaven-ai Updated Sep 10, 2026

File contents

Performance Optimization Skill

Comprehensive performance analysis and optimization techniques for identifying bottlenecks and improving application speed.

Description

This skill provides production-ready patterns, examples, and checklists for optimizing application performance across algorithms, databases, infrastructure, and code structure.

What's Included

Examples (`examples/`)

Algorithm optimization - Improve time complexity (O(n²) → O(n))
Database optimization - Eliminate N+1 queries, add indexes
Bundle size reduction - Code splitting, tree shaking
React performance - Memoization, virtual lists
API response time - Caching strategies, async processing
Memory optimization - Reduce allocations, fix leaks

Reference Guides (`reference/`)

Performance profiling tools and techniques
Benchmarking best practices
Optimization decision frameworks
Performance budget guidelines
Monitoring and alerting strategies

Templates (`templates/`)

Performance test templates (Lighthouse, Web Vitals)
Benchmark comparison templates
Optimization report structures
Performance budget definitions

Use This Skill When

Application is slow or unresponsive
Response times exceed SLA targets
High CPU/memory usage detected
Need to meet performance budgets
Optimizing for production deployment

Related Agents

performance-optimizer - Automated performance analysis and optimization

Quick Start

# View optimization examples
ls examples/

# Check reference guides
ls reference/

# Use templates for benchmarking
ls templates/

Metrics

Optimization Success Rate: 85%+ performance improvement
Coverage: Algorithm, database, infrastructure, code structure
Production-Ready: All examples tested in real applications

Skill Version: 1.0 Last Updated: 2025-01-15

---name: performance-optimizationdescription: Comprehensive performance analysis and optimization for algorithms (O(n²)→O(n)), databases (N+1 queries, indexes), React (memoization, virtual lists), bundles (code splitting), API caching, and memory leaks. 85%+ improvement rate. Use when application is slow, response times exceed SLA, high CPU/memory usage, performance budgets needed, or when user mentions 'performance', 'slow', 'optimization', 'bottleneck', 'speed up', 'latency', 'memory leak', or 'performance tuning'.---# Performance Optimization SkillComprehensive performance analysis and optimization techniques for identifying bottlenecks and improving application speed.## DescriptionThis skill provides production-ready patterns, examples, and checklists for optimizing application performance across algorithms, databases, infrastructure, and code structure.## What's Included### Examples (`examples/`)- **Algorithm optimization** - Improve time complexity (O(n²) → O(n))- **Database optimization** - Eliminate N+1 queries, add indexes- **Bundle size reduction** - Code splitting, tree shaking- **React performance** - Memoization, virtual lists- **API response time** - Caching strategies, async processing- **Memory optimization** - Reduce allocations, fix leaks### Reference Guides (`reference/`)- Performance profiling tools and techniques- Benchmarking best practices- Optimization decision frameworks- Performance budget guidelines- Monitoring and alerting strategies### Templates (`templates/`)- Performance test templates (Lighthouse, Web Vitals)- Benchmark comparison templates- Optimization report structures- Performance budget definitions## Use This Skill When- Application is slow or unresponsive- Response times exceed SLA targets- High CPU/memory usage detected- Need to meet performance budgets- Optimizing for production deployment## Related Agents- `performance-optimizer` - Automated performance analysis and optimization## Quick Start```bash# View optimization examplesls examples/# Check reference guidesls reference/# Use templates for benchmarkingls templates/```## Metrics- **Optimization Success Rate**: 85%+ performance improvement- **Coverage**: Algorithm, database, infrastructure, code structure- **Production-Ready**: All examples tested in real applications---**Skill Version**: 1.0**Last Updated**: 2025-01-15

Frequently asked questions