golang-performance-tuning

What problem does it solve?

Manually identifying Go performance bottlenecks requires deep expertise and is time-consuming, with high-impact optimizations often hidden in hot paths, memory allocation patterns and concurrency logic. This skill automates the audit process by scanning Go source code against a proven set of performance patterns to surface actionable, high-win optimizations without guesswork.

Core Features & Use Cases

• 15-pattern performance audit: Scans Go source code against the goperf.dev common-patterns playbook covering memory management, concurrency, I/O optimization and compiler-level tuning.
• Prioritized refactor report: Returns a severity-rated (high/medium/low) report with concrete code examples, expected performance impact and caveats for each finding, so developers can focus on the highest-value changes first.
• Use case example: A Go backend developer can use this skill to review their HTTP handler code to identify sync.Pool reuse opportunities, struct alignment issues or escape analysis problems that are causing unnecessary allocations and request latency.

Quick Start

Use the golang-performance-tuning skill to audit the Go source files in your project's API handler package for performance bottlenecks and receive a prioritized refactor report.