performance-optimization

name	Performance Optimization
description	Identify runtime bottlenecks and optimize critical paths to improve application speed and resource efficiency.
allowed-tools	["execute_command","read_file","edit_file","run_tests","search_code"]

⚡ Performance Optimization Workflow

This skill focuses on maximizing the efficiency of the codebase through data-driven optimization.

1. Profiling & Baseline Measurement

• Use execute_command to run profiling tools (e.g., Node.js --inspect, Chrome DevTools, or custom benchmarks) to identify "hot paths" and memory leaks.
• Establish a performance baseline by measuring execution time and resource usage for critical operations.

2. Bottleneck Analysis

• Use read_file and search_code to analyze the complexity (Time and Space) of the identified hot paths.
• Identify inefficient patterns such as redundant API calls, nested loops, or excessive object allocation.
• Use the think tool to brainstorm more efficient algorithms or data structures.

3. Targeted Optimization

• Apply optimizations using edit_file. Focus on high-impact changes first (e.g., caching, memoization, asynchronous processing).
• Ensure that optimizations do not compromise code readability or maintainability.

4. Verification & Benchmarking

• Re-run the profiling tools to measure the improvement against the baseline.
• Run the full test suite via run_tests to ensure that performance changes did not introduce functional regressions.

5. Optimization Report

• Document the before-and-after metrics in the project memory, explaining the optimization technique used and the resulting gain.