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React Doctor

Checked
brianlovin·vlatest·frontend

Generates React components from natural language descriptions, optimizing for accessibility and Brian's preferred coding style.

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 brianlovin/agent-config --skill react-doctor -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

brianlovin

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 brianlovin/agent-config at 1a9819ebf3.

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

Commit
1a9819ebf3
Manifest
skills/react-doctor/SKILL.md
Scanned
1 file, 40 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 diagnose and fix React application issues by analyzing codebases, identifying bugs, and suggesting corrections. It streamlines frontend debugging workflows specifically tailored for the React ecosystem.

When to use it

  • You need to quickly identify why a specific React component is failing or rendering incorrectly.
  • Your team requires automated assistance in refactoring legacy React code to modern standards.
  • You want an agent to generate unit tests or linting rules for your existing frontend projects.

Key capabilities

  • Analyzes React source code to detect syntax errors and logic flaws.
  • Suggests specific fixes for common React anti-patterns and bugs.
  • Provides context-aware recommendations based on the current project structure.

Example prompts

  • "Analyze this App.js file and explain why the state updates are not triggering a re-render."
  • "Refactor these legacy class components into functional components with hooks."
  • "Identify potential memory leaks in this React context provider implementation."

Tips & gotchas

Ensure your AI agent has access to the full project directory or relevant code snippets, as isolated analysis may miss dependency issues. This tool is optimized for standard React patterns; highly custom builds might require additional context about specific libraries used.