Rule Research

OrganizationPopular

millionco

rule-research

Define a precise React Doctor rule contract before implementation. Use when validating a rule idea, collecting official or open-source evidence, identifying false-positive traps, choosing detector precision, or setting first-version boundaries.

Overview

Publisher	millionco
Repository	`react-doctor`
Skill name	`rule-research`
Stars	14.9K
Forks	488
Bundled files	Instructions only
Links	Skill source Repository Homepage

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.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by millionco on GitHub. Read the source before you install it.

Installation

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

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/millionco/react-doctor/tree/main/.agents/skills/rule-research
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.

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/rule-research .claude/skills/rule-research

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Rule Research 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 Rule Research 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 Rule Research 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.

Research a rule

Produce a rule contract that rule-writing can implement without guessing.

Define the behavior

Resolve only questions that affect correctness:

Which code pattern should report?
Which runtime behavior makes it harmful?
Which similar code must stay quiet?
Does detection need syntax, scope, or path analysis?
Which imported, dynamic, type-driven, or interprocedural cases stay out of scope?

If the user requested implementation, make the contract concise and continue.

Collect evidence

Define the rule in one sentence: This rule catches <pattern> that causes <problem>.
Explain the runtime reason.
Inspect nearby rules, tests, utilities, and the generated registry.

Use truffler before proposing a new detector or helper:

sh
bunx @rayhanadev/truffler "<symbol-or-behavior>" \
  packages/oxlint-plugin-react-doctor/src/plugin \
  --kind function,interface,type,constant --limit 20

Gather official documentation, implementation notes, related linter behavior, and open-source examples.
Separate strong positives, adjacent patterns, valid traps, and unsupported cases.
Choose syntax-only, scope-aware, or path-aware detection.

Use rde-eval when a bounded open-source sample could change the contract. Leave final pull request parity to rule-validate.

Write the contract

Return:

md
Rule definition:
<pattern and specific problem>

Runtime reason:
<short explanation>

Detector precision:
<syntax-only, scope-aware, or path-aware>

Evidence:

- <source and implication>

Strong positives:

- <reportable examples>

False-positive traps:

- <valid examples>

In scope:

- <supported cases>

Out of scope:

- <explicit boundaries>

Test seeds:

- <invalid and valid fixtures>

Open questions:

- <correctness blockers only>

Treat false positives as correctness bugs. Keep the diagnostic narrower than or equal to the proven behavior. Split adjacent ideas into separate rules.

Frequently asked questions

What does the Rule Research AI skill do?

Why use Rule Research on TypingMind?

Because you install it once and use it with any model. Rule Research 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 Rule Research in TypingMind?

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

Which AI models can use Rule Research?

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 Rule Research?

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

Is the Rule Research 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Research a rule

Define the behavior

Collect evidence

Write the contract

Frequently asked questions

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