Which programming languages are supported?

While the methodology is universal, the skill contains specific tooling guidance and optimization patterns for TypeScript, Bun, and Rust.

What specific metrics does this skill help measure?

It focuses on Latency (P50, P95, P99), Throughput (RPS), Memory usage (Heap, RSS, GC frequency), and CPU utilization (hot paths).

Does it support memory leak detection?

Yes, it provides workflows for using heap snapshots, allocation tracking, and memory pooling to identify and fix leaks and memory churn.

How does this skill prevent premature optimization?

The skill enforces an 'Iron Law' of no optimization without measurement, requiring a baseline and profiling data before any code changes are suggested or implemented.

Can it help with database performance?

Yes, it includes specific strategies for query optimization using EXPLAIN ANALYZE, indexing strategies, and solving N+1 query problems.

Performance Optimization Expertise

Name: Performance Optimization Expertise
Author: outfitter-dev

byoutfitter-dev

0•

분석 및 모니터링

Optimizes software performance through systematic profiling, rigorous benchmarking, and evidence-based bottleneck identification.

This skill provides a comprehensive framework for performance engineering, emphasizing a strict 'measure-first' methodology to avoid premature optimization. It guides developers through the entire lifecycle of performance improvement: establishing baselines, profiling with tools like Flamegraphs and Criterion, analyzing root causes, and validating gains with statistical significance. With specific patterns for TypeScript, Bun, and Rust, it helps identify memory leaks, reduce tail latency (P95/P99), optimize database queries, and improve overall throughput while documenting critical trade-offs.

주요 기능

01Evidence-based workflow: Measure → Profile → Optimize → Validate

02Comprehensive KPI tracking for latency, throughput, memory, and CPU metrics

03Advanced optimization patterns for algorithms, I/O batching, and memory pooling

04Database performance tuning including query analysis and schema optimization

050 GitHub stars

06Language-specific profiling guides for TypeScript, Bun, and Rust environments

사용 사례

01Reducing tail latency (P99) in high-traffic APIs and microservices

02Benchmarking and comparing competing implementations to find the most efficient path

03Identifying and resolving memory leaks or excessive garbage collection pauses

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add outfitter-dev/agents expertise-performance

For use in Claude.ai and ChatGPT

Download Skill