Performance Optimizer

What it does

A practical, tool-focused guide that helps agents assist users with performance analysis and optimization. It walks through measuring baseline performance, finding hot paths, applying targeted optimizations (algorithmic fixes, caching, vectorization, parallelism), and verifying gains with benchmarks and profiling tools. The content spans Python, JavaScript/Node, shell scripting, and system-level techniques so agents can recommend concrete commands and code changes.

When to use it

Use this skill when a user reports slow code, high resource usage, or unclear bottlenecks; when asked how to profile an application; or when recommending language-specific profiling tools and concrete optimization patterns. Good for both quick fixes (I/O batching, caching) and deeper algorithmic work.

What's included

• Scripts: none bundled (has_scripts=false)
• References: none bundled (has_references=false)
• Instructions: step-by-step profiling workflow (measure → find bottleneck → optimize → verify), examples for cProfile, line-profiler, Node --prof, hyperfine, strace, and db query tips. Also includes best-practice checklists for benchmarks and monitoring.

Compatible agents

Agents with code execution and terminal capabilities (Codex/Copilot-style code assistants, Claude Code, Cursor, or any agent that can suggest shell commands) will be most useful. The guidance assumes ability to run profiling commands and inspect outputs.