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Refactor Skill Structure

Checked
pjt222·vlatest·backend·MIT

Restructures complex backend code into modular, maintainable components using established 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 pjt222/agent-almanac --skill refactor-skill-structure -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

pjt222

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 pjt222/development-guides at bcca822c1c.

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

Scanned
3 files, 642 lines
Copies in repo
3 — 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 restructures existing codebases to improve organization and maintainability. It can rearrange files, rename variables, and refactor functions based on provided instructions or automated analysis. The goal is to produce a cleaner, more modular codebase that's easier for developers (or AI agents) to understand and modify.

When to use it

  • Legacy Codebases: When dealing with older projects that lack clear structure and organization.
  • Code Migration: To prepare code for moving between different frameworks or platforms.
  • Team Onboarding: Simplifying a codebase to make it easier for new developers to contribute.
  • Automated Refactoring: Applying consistent style changes across a large project.

Key capabilities

  • File rearrangement
  • Variable renaming
  • Function refactoring
  • Code modularization

Example prompts

  • "Refactor the src/utils directory, moving all helper functions into separate files."
  • "Rename all instances of oldVariableName to newVariableName in the app folder."
  • "Extract the logic from the processData function in main.py into a new module called data_processor.py."

Tips & gotchas

The skill's effectiveness depends on clear and specific instructions. It’s best used with smaller, well-defined refactoring tasks initially to ensure desired outcomes before applying it to larger codebases.