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React Dev

Checked
outfitter-dev·vlatest·frontend·MIT

Generates React components and code snippets based on descriptions, accelerating frontend development workflows for Outfitters Dev users.

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 outfitter-dev/agents --skill react-dev -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

outfitter-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 outfitter-dev/agents at d37fffdd50.

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

Commit
d37fffdd50
Manifest
plugins/outfitter/skills/react-dev/SKILL.md
Scanned
7 files, 3,598 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 provides React development capabilities to AI agents. It allows agents to generate, understand, and modify React code components, including JSX syntax and component logic. The agent can assist with creating new components from scratch or debugging existing ones.

When to use it

  • Building a UI: You need an agent to rapidly prototype or build user interfaces for web applications using React.
  • Debugging React Code: An agent can help identify and fix errors in your existing React codebase.
  • Component Generation: You want the agent to generate reusable React components based on specific requirements.
  • Code Refactoring: You need assistance refactoring a complex React component for improved readability or performance.

Key capabilities

  • React code generation (JSX)
  • Component logic understanding and modification
  • Debugging of existing React code
  • Creation of reusable React components

Example prompts

  • "Create a simple React component that displays 'Hello, world!'"
  • "Debug this React component: [paste component code here]"
  • "Generate a React form with fields for name and email."
  • "Refactor this React component to use functional components instead of class components: [paste component code here]."

Tips & gotchas

The agent's effectiveness depends on the clarity and specificity of your prompts. Providing context or examples can significantly improve the quality of generated code.