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Code Refactor

Checked
laurigates·vlatest·backend·MIT

Refactors Python/Java backend code for improved readability, efficiency, and maintainability using proven design patterns.

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 laurigates/claude-plugins --skill code-refactor -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

laurigates

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 laurigates/claude-plugins at 45d1d7dcf6.

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

Scanned
1 file, 79 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 backend skill enables AI agents to automatically analyze and refactor existing codebases. It identifies inefficiencies, outdated patterns, and potential security vulnerabilities to generate optimized, modernized versions of your scripts.

When to use it

  • Modernizing legacy applications written in older frameworks or languages.
  • Reducing technical debt by automating the cleanup of redundant logic.
  • Improving code readability and maintainability before a team onboarding.
  • Preparing production code for performance audits or security compliance.

Key capabilities

  • Automated analysis of code structure and logic flow.
  • Detection of anti-patterns, inefficiencies, and security risks.
  • Generation of refactored code adhering to best practices.
  • Support for various backend languages and frameworks.

Example prompts

  • "Refactor this Python Flask application to use async/await patterns and improve database query performance."
  • "Analyze the provided JavaScript module for security vulnerabilities and suggest secure alternatives."
  • "Optimize this Node.js service by removing unused dependencies and simplifying complex conditional logic."

Tips & gotchas

Ensure you provide clean, compilable code snippets to allow the agent to accurately identify structural issues. While the skill generates optimized code, always review changes manually before deploying to production environments to verify business logic integrity.