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Refactoring

Checked
ar4mirez·vlatest·backend·MIT

Refactors complex Python/Java backend code for improved readability, maintainability, and performance using automated techniques.

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 ar4mirez/samuel --skill refactoring -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

ar4mirez

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 ar4mirez/samuel at 571d3d1834.

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

Scanned
4 files, 2,752 lines
Copies in repo
2 — all of them scanned
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 it without changing its external behavior. It can identify and eliminate redundant or inefficient code, making the codebase more readable and maintainable. The skill is designed to automate common refactoring tasks, saving developers time and reducing errors.

When to use it

  • Legacy Codebase Cleanup: Improve a large, complex codebase that's difficult to understand and modify.
  • Performance Optimization: Refactor performance-critical sections of code for improved efficiency.
  • Code Modernization: Update older codebases to utilize more modern programming paradigms or language features.
  • Technical Debt Reduction: Address accumulated technical debt by improving the structure and clarity of existing code.

Key capabilities

  • Automated refactoring suggestions
  • Redundant code elimination
  • Improved code readability
  • Performance optimization

Example prompts

  • "Refactor this function to use a more functional style."
  • "Identify and remove any duplicated code blocks in this file."
  • "Can you suggest ways to improve the performance of this loop?"

Tips & gotchas

This skill is most effective when provided with well-structured, albeit potentially inefficient or complex, code. It may require some manual review and adjustments after automated refactoring to ensure complete correctness and adherence to specific coding standards.