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Golang Performance

Checked
89jobrien·vlatest·backend

Helps with Go, performance optimization as part of developing backend services and APIs workflows.

Repository

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 89jobrien/steve --skill golang-performance -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

89jobrien

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 89jobrien/steve at c0ff044bf0.

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

Commit
c0ff044bf0
Manifest
steve/skills/golang-performance/SKILL.md
Scanned
1 file, 421 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 and practical examples for optimizing Go application performance. It covers key areas such as profiling (CPU and memory), memory management, concurrency optimization, and avoiding common performance pitfalls. The skill leverages tools like pprof to identify bottlenecks and improve overall efficiency in backend services and APIs.

When to use it

  • When you need to profile a Go application to diagnose CPU or memory issues.
  • To optimize memory allocations and reduce garbage collection (GC) pressure within your Go code.
  • When implementing concurrent patterns and seeking ways to make them more efficient.
  • For analyzing escape analysis results to understand object allocation behavior.
  • When optimizing "hot paths" – frequently executed sections of production code.

Key capabilities

  • Provides guidance on using pprof for CPU profiling, including interactive commands like top10, list, and generating flame graphs.
  • Offers instructions for memory profiling (heap and allocations) with associated analysis techniques.
  • Demonstrates programmatic profiling approaches to capture CPU and memory profiles within your Go code.
  • Includes advice on reducing unnecessary memory allocations in Go functions.

Example prompts

  • "How can I use pprof to profile the CPU usage of my Go application?"
  • "What are some techniques for reducing GC pressure in my Go program?"
  • "Can you show me an example of how to implement programmatic profiling in Go?"
  • "How do I analyze escape analysis results in Go?"

Tips & gotchas

  • To use the pprof examples, ensure your application is running and accessible at the specified ports (e.g., localhost:6060).
  • The skill focuses on performance optimization techniques specific to Go; it doesn't cover general software development practices.
  • Remember to run runtime.GC() before writing a heap profile for more accurate memory statistics.