Can it compare current results against a baseline?

Yes, if previous results exist, it can utilize the benchstat tool to perform a statistical comparison and determine if changes resulted in a significant performance delta.

What if my project doesn't have benchmarks yet?

If no benchmarks are found, the skill will analyze your codebase and suggest which specific functions should be benchmarked based on their complexity and frequency of use.

Which Go metrics does this skill analyze?

It captures and interprets nanoseconds per operation (ns/op), bytes allocated per operation (B/op), and the number of allocations per operation (allocs/op).

How does go-bench identify optimization targets?

The skill analyzes benchmark results alongside the source code to find common Go pitfalls like unnecessary interface boxing, inefficient slice growth, or I/O operations in hot paths.

Go Performance Benchmarking

Name: Go Performance Benchmarking
Author: latebit-io

bylatebit-io

0•

Security & Testing

Analyzes Go code performance by running benchmarks, identifying memory bottlenecks, and suggesting high-impact optimizations.

This skill transforms Claude into a specialized Go performance analyst that automates the discovery, execution, and interpretation of Go benchmarks. It performs a deep dive into execution metrics, specifically focusing on nanoseconds per operation, memory allocations, and byte usage to pinpoint inefficiencies. By identifying common Go-specific pitfalls—such as unnecessary interface boxing, inefficient string concatenation, or synchronization overhead—the skill provides structured analysis and actionable recommendations to help developers build faster, more memory-efficient Go applications.

Key Features

01Detailed analysis of ns/op, B/op, and allocations per operation

02Comparative analysis using benchstat to track performance improvements or regressions

030 GitHub stars

04Automated discovery of Benchmark functions in Go test files

05Identification of performance hot spots including mutex contention and slice growth

06Execution of stable benchmarks with memory statistics enabled

Use Cases

01Validating performance improvements after code refactoring or architectural changes

02Identifying and fixing hidden memory leaks or excessive allocations in hot paths

03Optimizing high-throughput Go services to reduce CPU and memory usage

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add latebit-io/jean-claude-van-dev go-bench

For use in Claude.ai and ChatGPT

Download Skill