No Use Effect logo

No Use Effect

Organization
Factory-AI
no-use-effect

Enforce the no-useEffect rule when writing or reviewing React code. ACTIVATE when writing React components, refactoring existing useEffect calls, reviewing PRs with useEffect, or when an agent adds useEffect "just in case." Provides the five replacement patterns and the useMountEffect escape hatch.

Overview

PublisherFactory-AI
Repositoryfactory-plugins
Skill nameno-use-effect
Stars
111
Forks
15
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by Factory-AI on GitHub. Read the source before you install it.

Installation

Install the No Use Effect 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.
  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/Factory-AI/factory-plugins.git /tmp/factory-plugins
mkdir -p .claude/skills
cp -r /tmp/factory-plugins/plugins/typescript/skills/no-use-effect .claude/skills/no-use-effect
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable No Use Effect 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 No Use Effect 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 No Use Effect 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.

No useEffect

Never call useEffect directly. Use derived state, event handlers, data-fetching libraries, or useMountEffect instead.

Quick Reference

Instead of useEffect for...Use
Deriving state from other state/propsInline computation (Rule 1)
Fetching datauseQuery / data-fetching library (Rule 2)
Responding to user actionsEvent handlers (Rule 3)
One-time external sync on mountuseMountEffect (Rule 4)
Resetting state when a prop changeskey prop on parent (Rule 5)

When to Use This Skill

  • Writing new React components
  • Refactoring existing useEffect calls
  • Reviewing PRs that introduce useEffect
  • An agent adds useEffect "just in case"

Workflow

1. Identify the useEffect

Determine what the effect is doing -- deriving state, fetching data, responding to an event, syncing with an external system, or resetting state.

2. Apply the Correct Replacement Pattern

Use the five rules below to pick the right replacement.

3. Verify

npm run lint -- --filter=<package>
npm run typecheck -- --filter=<package>
npm run test -- --filter=<package>

The Escape Hatch: useMountEffect

For the rare case where you need to sync with an external system on mount:

The implementation wraps useEffect with an empty dependency array to make intent explicit:

export function useMountEffect(effect: () => void | (() => void)) {
  /* eslint-disable no-restricted-syntax */
  useEffect(effect, []);
}

Replacement Patterns

Rule 1: Derive state, do not sync it

Most effects that set state from other state are unnecessary and add extra renders.

// BAD: Two render cycles - first stale, then filtered
function ProductList() {
  const [products, setProducts] = useState([]);
  const [filteredProducts, setFilteredProducts] = useState([]);

  useEffect(() => {
    setFilteredProducts(products.filter((p) => p.inStock));
  }, [products]);
}

// GOOD: Compute inline in one render
function ProductList() {
  const [products, setProducts] = useState([]);
  const filteredProducts = products.filter((p) => p.inStock);
}

Smell test: You are about to write useEffect(() => setX(deriveFromY(y)), [y]), or you have state that only mirrors other state or props.

Rule 2: Use data-fetching libraries

Effect-based fetching creates race conditions and duplicated caching logic.

// BAD: Race condition risk
function ProductPage({ productId }) {
  const [product, setProduct] = useState(null);

  useEffect(() => {
    fetchProduct(productId).then(setProduct);
  }, [productId]);
}

// GOOD: Query library handles cancellation/caching/staleness
function ProductPage({ productId }) {
  const { data: product } = useQuery(['product', productId], () =>
    fetchProduct(productId)
  );
}

Smell test: Your effect does fetch(...) and then setState(...), or you are re-implementing caching, retries, cancellation, or stale handling.

Rule 3: Event handlers, not effects

If a user clicks a button, do the work in the handler.

// BAD: Effect as an action relay
function LikeButton() {
  const [liked, setLiked] = useState(false);

  useEffect(() => {
    if (liked) {
      postLike();
      setLiked(false);
    }
  }, [liked]);

  return <button onClick={() => setLiked(true)}>Like</button>;
}

// GOOD: Direct event-driven action
function LikeButton() {
  return <button onClick={() => postLike()}>Like</button>;
}

Smell test: State is used as a flag so an effect can do the real action, or you are building "set flag -> effect runs -> reset flag" mechanics.

Rule 4: useMountEffect for one-time external sync

Good uses: DOM integration (focus, scroll), third-party widget lifecycles, browser API subscriptions.

// BAD: Guard inside effect
function VideoPlayer({ isLoading }) {
  useEffect(() => {
    if (!isLoading) playVideo();
  }, [isLoading]);
}

// GOOD: Mount only when preconditions are met
function VideoPlayerWrapper({ isLoading }) {
  if (isLoading) return <LoadingScreen />;
  return <VideoPlayer />;
}

function VideoPlayer() {
  useMountEffect(() => playVideo());
}

Use useMountEffect for stable dependencies (singletons, refs, context values that never change):

// BAD: useEffect with dependency that never changes
useEffect(() => {
  connectionManager.on('connected', handleConnect);
  return () => connectionManager.off('connected', handleConnect);
}, [connectionManager]); // connectionManager is a singleton from context

// GOOD: useMountEffect for stable dependencies

useMountEffect(() => {
  connectionManager.on('connected', handleConnect);
  return () => connectionManager.off('connected', handleConnect);
});

Smell test: You are synchronizing with an external system, and the behavior is naturally "setup on mount, cleanup on unmount."

Rule 5: Reset with key, not dependency choreography

// BAD: Effect attempts to emulate remount behavior
function VideoPlayer({ videoId }) {
  useEffect(() => {
    loadVideo(videoId);
  }, [videoId]);
}

// GOOD: key forces clean remount
function VideoPlayer({ videoId }) {
  useMountEffect(() => {
    loadVideo(videoId);
  });
}

function VideoPlayerWrapper({ videoId }) {
  return <VideoPlayer key={videoId} videoId={videoId} />;
}

Smell test: You are writing an effect whose only job is to reset local state when an ID/prop changes, or you want the component to behave like a brand-new instance for each entity.

Component Structure Convention

Computed values come after hooks and local state, never via useEffect:

export function FeatureComponent({ featureId }: ComponentProps) {
  // Hooks first
  const { data, isLoading } = useQueryFeature(featureId);

  // Local state
  const [isOpen, setIsOpen] = useState(false);

  // Computed values (NOT useEffect + setState)
  const displayName = user?.name ?? 'Unknown';

  // Event handlers
  const handleClick = () => { setIsOpen(true); };

  // Early returns
  if (isLoading) return <Loading />;

  // Render
  return <Flex direction="column" gap="lg">...</Flex>;
}

Frequently asked questions

What does the No Use Effect AI skill do?

Enforce the no-useEffect rule when writing or reviewing React code. ACTIVATE when writing React components, refactoring existing useEffect calls, reviewing PRs with useEffect, or when an agent adds useEffect "just in case." Provides the five replacement patterns and the useMountEffect escape hatch.

Why use No Use Effect on TypingMind?

Because you install it once and use it with any model. No Use Effect 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 No Use Effect in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Factory-AI/factory-plugins/tree/master/plugins/typescript/skills/no-use-effect. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use No Use Effect?

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 No Use Effect?

As many as you like. As long as a model supports skills, you can use No Use Effect with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the No Use Effect AI skill free?

It is published on GitHub by Factory-AI. 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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