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Refactor

Checked
pproenca·vlatest·backend·MIT

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

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 pproenca/dot-skills --skill 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

pproenca

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.

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  • 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 pproenca/dot-skills at cf93c57cac.

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

Commit
cf93c57cac
Manifest
skills/.curated/refactor/SKILL.md
Scanned
49 files, 4,076 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 enables AI agents to refactor complex Python/Django backend code, improving its readability, maintainability, and performance. It leverages a comprehensive guide based on Martin Fowler's catalog of refactoring best practices and Clean Code principles. The skill prioritizes refactoring rules by impact, guiding automated code improvements and generation.

When to use it

This skill is useful when:

  • Refactoring existing code to improve maintainability.
  • Decomposing long methods or large classes.
  • Reducing coupling between components.
  • Simplifying complex conditional logic.
  • Reviewing code for code smells and anti-patterns.

Key capabilities

  • Applies refactoring rules based on Martin Fowler's catalog.
  • Prioritizes refactoring actions by impact (Critical, High, Medium-High, Medium, Low).
  • Includes specific refactoring techniques such as:
    • Extracting methods and classes.
    • Applying Dependency Injection.
    • Using Intention-Revealing Names.
    • Replacing conditionals with polymorphism or guard clauses.
    • Implementing design patterns like Strategy and Template Method.

Example prompts

  • "Refactor this code to apply the 'struct-extract-method' rule."
  • "Improve the maintainability of this class by applying the Single Responsibility Principle."
  • "Review this function for Feature Envy and suggest improvements."

Tips & gotchas

  • This skill is specifically designed for Python/Django backend code.
  • The effectiveness depends on the clarity and structure of the original code. Highly complex or poorly written code may require more manual intervention.
  • Familiarity with refactoring principles (e.g., Single Responsibility Principle, Dependency Injection) can help users guide the skill's actions effectively.