What is the primary rule of the Performance Engineering skill?

The core 'Iron Law' is no optimization without measurement. You must always establish a baseline, profile to find the actual bottleneck, and then validate the improvement with data.

Does this skill support specific programming languages?

Yes, it provides detailed, language-specific tools and code snippets for TypeScript/Bun (using Bun.nanoseconds and Performance API) and Rust (using Criterion and Flamegraphs).

Can this skill help with database optimization?

Absolutely. It includes strategies for query optimization, indexing, schema design, and avoiding common pitfalls like N+1 queries or unnecessary round-trips.

How does it handle memory management?

The skill provides patterns for reducing allocations, implementing memory pooling, and using lazy evaluation to minimize memory churn and garbage collection overhead.

Performance Engineering Fieldguide

Name: Performance Engineering Fieldguide
Author: outfitter-dev

byoutfitter-dev

•

분석 및 모니터링

Optimizes code performance through evidence-based profiling, benchmarking, and systematic bottleneck analysis.

The Performance Engineering skill provides a rigorous, data-driven framework for improving software efficiency, emphasizing the 'Iron Law' of never optimizing without measurement. It guides developers through a structured five-stage workflow—establishing baselines, profiling bottlenecks, analyzing root causes, implementing targeted optimizations, and validating gains. With specialized support for TypeScript, Bun, and Rust, it offers actionable patterns for reducing latency, managing memory allocations, and optimizing database queries to ensure high-performance production environments.

주요 기능

01Comprehensive KPI tracking for P95/P99 latency, throughput, memory churn, and CPU hot paths

02Proven optimization patterns for algorithms, I/O batching, and memory pooling

03Database-specific tuning strategies including index optimization and N+1 query resolution

042 GitHub stars

05Structured 5-stage performance workflow: Baseline, Profile, Analyze, Optimize, and Validate

06Language-specific profiling guides for TypeScript, Bun, and Rust (Criterion, Flamegraphs, etc.)

사용 사례

01Detecting and fixing memory leaks or excessive garbage collection pauses in Bun applications

02Identifying and resolving P99 latency spikes or tail-latency issues in high-traffic APIs

03Benchmarking and comparing competing implementations in Rust to ensure maximum throughput

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add outfitter-dev/outfitter performance

For use in Claude.ai and ChatGPT

Download Skill