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Go Optimization

Checked
geoffjay·vlatest·other·MIT

Helps with Go, optimization as part of agent workflows 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 geoffjay/claude-plugins --skill go-optimization -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

geoffjay

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 geoffjay/claude-plugins at 0ab5ae1b22.

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

Commit
0ab5ae1b22
Manifest
plugins/golang-development/skills/go-optimization/SKILL.md
Scanned
1 file, 605 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, go-optimization, appears to provide optimization capabilities specifically related to Go code. While details are limited in the provided source, it suggests a focus on improving performance or efficiency within Go programs. It is likely designed to analyze and suggest improvements for existing Go codebases.

When to use it

  • Performance bottlenecks: Identify and resolve slowdowns in your Go applications.
  • Code refactoring: Improve the overall structure and efficiency of your Go projects.
  • Resource optimization: Reduce memory usage or CPU load within a Go program.
  • Compiler hints: Provide suggestions to guide the Go compiler towards more efficient code generation.

Key capabilities

  • Go code analysis
  • Performance optimization suggestions
  • Potential for resource usage reduction
  • Compiler guidance

Example prompts

  • "Analyze this Go function and suggest optimizations: [paste Go code]"
  • "How can I reduce memory allocation in my Go program?"
  • "Suggest ways to improve the performance of this Go routine."

Tips & gotchas

The skill's effectiveness is likely dependent on providing clean, well-formatted Go code for analysis. Due to limited information, specific prerequisites or limitations are unknown but should be explored with the skill provider if needed.