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Go Performance Best Practices

Checked
mcart13·vlatest·other

Helps with Go, performance optimization, best practices as part of agent workflows workflows.

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add mcart13/dev-skills --skill go-performance-best-practices -a claude-code
  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

mcart13

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned mcart13/dev-skills at 87cfd2a8fa.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Scanned
47 files, 12,152 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill provides guidance on optimizing Go program performance. It offers advice on profiling, memory management, and concurrency to identify bottlenecks and improve execution speed. The skill aims to help developers write more efficient and responsive Go applications by applying established best practices.

When to use it

  • You're experiencing slow response times in a Go application.
  • You need to reduce the resource consumption (CPU or memory) of a Go program.
  • You want to understand common performance pitfalls in Go development.
  • You are preparing a Go application for production and want to ensure optimal efficiency.

Key capabilities

  • Profiling techniques for identifying performance bottlenecks.
  • Memory management best practices to minimize garbage collection overhead.
  • Concurrency patterns for parallelizing tasks effectively.
  • Guidance on optimizing algorithms and data structures.

Example prompts

  • "How can I profile my Go application to find slow functions?"
  • "What are some common memory leaks in Go, and how do I avoid them?"
  • "Explain the best practices for using goroutines and channels."

Tips & gotchas

The skill assumes a basic understanding of Go programming concepts. It's most effective when applied after initial development; refactoring existing code based solely on this skill’s recommendations may introduce unexpected issues.