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Refactor Code

Checked
zbruhnke·vlatest·backend·MIT

Automatically improves code readability and efficiency by applying common refactoring patterns to backend code.

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 zbruhnke/claude-code-starter --skill refactor-code -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

zbruhnke

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 zbruhnke/claude-code-starter at 6b95b88bf2.

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

Commit
6b95b88bf2
Manifest
.claude/skills/refactor-code/SKILL.md
Scanned
1 file, 93 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 helps improve existing code by restructuring and simplifying it. It can take complex or poorly written code snippets and produce cleaner, more readable versions while maintaining functionality. The goal is to enhance maintainability and reduce technical debt within a codebase.

When to use it

  • Legacy Code: When dealing with older code that's difficult to understand or modify.
  • Code Reviews: To automatically suggest improvements during code review processes.
  • Simplifying Complex Functions: Break down large, monolithic functions into smaller, more manageable units.
  • Improving Readability: Make existing code easier for other developers (or yourself later) to comprehend.

Key capabilities

  • Code Restructuring
  • Simplification of complex logic
  • Improved Code Readability
  • Maintenance of Functionality

Example prompts

  • "Refactor this Python function to improve its readability: [code snippet]"
  • "Can you simplify this JavaScript code block? [code snippet]"
  • "Restructure the following Java class for better maintainability: [code snippet]"

Tips & gotchas

The skill is most effective with relatively small, self-contained code snippets. Larger projects may require more iterative refactoring and human oversight to ensure complete accuracy and avoid unintended consequences.