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React Refactoring

Checked
gihwan-dev·vlatest·frontend·MIT

Helps with React, refactoring as part of building frontend UIs and user experiences workflows.

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 gihwan-dev/claude-code-gui --skill react-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

gihwan-dev

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 gihwan-dev/claude-code-gui at fca04cc929.

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

Scanned
2 files, 489 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 you refactor React code. It can identify areas for improvement, suggest more efficient implementations, and apply those changes to your codebase. The goal is to improve code readability, maintainability, and performance by applying best practices and modern patterns.

When to use it

  • You have a large or complex React component that's difficult to understand.
  • Your React code has performance bottlenecks you want to address.
  • You need help migrating older React codebases to more recent versions or patterns (e.g., hooks).
  • You’re looking for suggestions on how to improve the overall structure and design of your React application.

Key capabilities

  • Code analysis for identifying refactoring opportunities
  • Suggestion generation for improved implementations
  • Automated code transformation based on suggested changes

Example prompts

  • "Refactor this component to use hooks instead of class components: [component code]"
  • "Analyze this React function and suggest ways to improve its performance."
  • "Can you identify any areas in this code that could be simplified or made more readable?"

Tips & gotchas

The skill requires access to the relevant React codebase. Be sure to provide sufficient context for accurate refactoring suggestions; larger, complete files often yield better results than snippets.