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React Coder

Checked
majesticlabs-dev·vlatest·frontend

Generates clean, functional React components from natural language descriptions, accelerating frontend development workflows.

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 majesticlabs-dev/majestic-marketplace --skill react-coder -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

majesticlabs-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 majesticlabs-dev/majestic-marketplace at 04e97708c2.

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

Commit
04e97708c2
Manifest
plugins/majestic-react/skills/react-coder/SKILL.md
Scanned
1 file, 159 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

The react-coder skill allows AI agents to generate React code snippets based on natural language descriptions. It can create functional components, handle state management, and produce JSX markup. This skill is designed to accelerate frontend development workflows by automating repetitive coding tasks.

When to use it

  • Rapid Prototyping: Quickly generate basic UI elements for testing ideas or demonstrating concepts.
  • Component Creation: Automate the creation of simple React components from descriptions like "a button that says 'Submit'."
  • Code Generation Assistance: Help developers overcome writer's block or quickly produce boilerplate code for common patterns.
  • Learning React: See how a description translates into functional React code to better understand the framework.

Key capabilities

  • Generates React components based on natural language input.
  • Handles state management within generated components.
  • Produces JSX markup.
  • Creates functional components.

Example prompts

  • "Create a simple counter component with a button that increments a number."
  • "Generate a React component for displaying a user's name and email address."
  • “Write a form with fields for name, email, and message.”

Tips & gotchas

The quality of the generated code depends heavily on the clarity and specificity of the prompt. Providing detailed descriptions will yield more accurate and useful results.