React Doctor logo

React Doctor

OrganizationPopular
millionco
react-doctor

Use when finishing a feature, fixing a bug, before committing React code, or when the user types `/doctor`, asks to scan, triage, or clean up React diagnostics. Covers lint, accessibility, bundle size, architecture. Includes a regression check and a full local-triage workflow that fetches the canonical playbook.

Overview

Publishermillionco
Repositoryreact-doctor
Skill namereact-doctor
Stars
14.9K
Forks
488
Bundled files
1
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by millionco on GitHub. Read the source before you install it.

Installation

Install the React Doctor AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/millionco/react-doctor/tree/main/.agents/skills/react-doctor
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/millionco/react-doctor.git /tmp/react-doctor
mkdir -p .claude/skills
cp -r /tmp/react-doctor/.agents/skills/react-doctor .claude/skills/react-doctor
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable React Doctor in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads React Doctor on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so React Doctor is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

React Doctor

Scans React codebases for security, performance, correctness, and architecture issues. Outputs a 0–100 health score.

After making React code changes:

Run npx react-doctor@latest --verbose --scope changed and check the score did not regress.

If the score dropped, fix the regressions before committing.

For general cleanup or code improvement:

Run npx react-doctor@latest --verbose (the default --scope full) to scan the full codebase. Fix issues by severity — errors first, then warnings.

For a focused UI design audit:

Run npx react-doctor@latest design --verbose. This selects only design-tagged UI composition, typography, interaction, accessibility, and motion rules, including focused rules that remain opt-in during a general health scan.

/doctor — full local triage workflow

When the user types /doctor, says "run react doctor", or asks for a full triage / cleanup pass (not just a regression check), fetch the canonical local-triage playbook and follow every step in it:

bash
curl --fail --silent --show-error \
  --header 'Cache-Control: no-cache' \
  https://www.react.doctor/prompts/react-doctor-agent.md

The playbook is the single source of truth — a scan → filter → triage → fix → validate loop that edits the working tree directly (never commits, never opens PRs). Updating the prompt at its source updates every agent on its next fetch — no skill reinstall needed.

Pair it with the matching per-rule prompts at https://www.react.doctor/prompts/rules/<plugin>/<rule>.md (fetched on demand inside the playbook) so each fix uses the canonical, reviewer-tested recipe.

Configuring or explaining rules

When the user wants to understand a rule, disagrees with one, or wants to disable / tune which rules run (not fix code), read references/explain.md and follow it. Start with npx react-doctor@latest rules explain <rule>, then apply the narrowest control via npx react-doctor@latest rules disable|set|category|ignore-tag …, which edits your doctor.config.* (or package.json#reactDoctor).

Command

bash
npx react-doctor@latest --verbose --scope changed
FlagPurpose
.Scan current directory
--verboseShow affected files and line numbers per rule
--scope changedOnly report issues introduced vs the base branch (default: full)
--scope linesOnly report issues on the changed lines
--scoreOutput only the numeric score
designRun only the focused UI design diagnostics

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the React Doctor AI skill do?

Use when finishing a feature, fixing a bug, before committing React code, or when the user types `/doctor`, asks to scan, triage, or clean up React diagnostics. Covers lint, accessibility, bundle size, architecture. Includes a regression check and a full local-triage workflow that fetches the canonical playbook.

Why use React Doctor on TypingMind?

Because you install it once and use it with any model. React Doctor is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install React Doctor in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/millionco/react-doctor/tree/main/.agents/skills/react-doctor. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use React Doctor?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with React Doctor?

As many as you like. As long as a model supports skills, you can use React Doctor with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the React Doctor AI skill free?

It is published on GitHub by millionco. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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