Webf Infinite Scrolling logo

Webf Infinite Scrolling

OrganizationPopular
openwebf
webf-infinite-scrolling

Create high-performance infinite scrolling lists with pull-to-refresh and load-more capabilities using WebFListView. Use when building feed-style UIs, product catalogs, chat messages, or any scrollable list that needs optimal performance with large datasets.

Overview

Publisheropenwebf
Repositorywebf
Skill namewebf-infinite-scrolling
Stars
2.5K
Forks
163
Bundled files
1
LicenseGPL-3.0
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 openwebf on GitHub. Read the source before you install it.

Installation

Install the Webf Infinite Scrolling 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/openwebf/webf.git /tmp/webf
mkdir -p .claude/skills
cp -r /tmp/webf/skills/webf-infinite-scrolling .claude/skills/webf-infinite-scrolling
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Webf Infinite Scrolling 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 Webf Infinite Scrolling 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 Webf Infinite Scrolling 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.

WebF Infinite Scrolling

Note: WebF development is nearly identical to web development - you use the same tools (Vite, npm, Vitest), same frameworks (React, Vue, Svelte), and same deployment services (Vercel, Netlify). This skill covers performance optimization for scrolling lists - a WebF-specific pattern that provides native-level performance automatically.

Build high-performance infinite scrolling lists with Flutter-optimized rendering. WebF's WebFListView component automatically handles performance optimizations at the Flutter level, providing smooth 60fps scrolling even with thousands of items.

Why Use WebFListView?

In browsers, long scrolling lists can cause performance issues:

  • DOM nodes accumulate (memory consumption)
  • Re-renders affect all items (slow updates)
  • Intersection observers needed for virtualization
  • Complex state management for infinite loading

WebF's solution: WebFListView delegates rendering to Flutter's optimized ListView widget, which:

  • ✅ Automatically virtualizes (recycles) views
  • ✅ Maintains 60fps scrolling with thousands of items
  • ✅ Provides native pull-to-refresh and load-more
  • ✅ Zero configuration - optimization happens automatically

Critical Structure Requirement

⚠️ IMPORTANT: For Flutter optimization to work, each list item must be a direct child of WebFListView:

✅ CORRECT: Direct Children

jsx
<WebFListView>
  <div>Item 1</div>
  <div>Item 2</div>
  <div>Item 3</div>
  {/* Each item is a direct child */}
</WebFListView>

❌ WRONG: Wrapped in Container

jsx
<WebFListView>
  <div>
    {/* DON'T wrap items in a container div */}
    <div>Item 1</div>
    <div>Item 2</div>
    <div>Item 3</div>
  </div>
</WebFListView>

Why this matters: Flutter's ListView requires direct children to perform view recycling. If items are wrapped in a container, Flutter sees only one child (the container) and cannot optimize individual items.

React Setup

Installation

bash
npm install @openwebf/react-core-ui

Basic Scrolling List

tsx
import { WebFListView } from '@openwebf/react-core-ui';

function ProductList() {
  const products = [
    { id: 1, name: 'Product 1', price: 19.99 },
    { id: 2, name: 'Product 2', price: 29.99 },
    { id: 3, name: 'Product 3', price: 39.99 },
    // ... hundreds or thousands of items
  ];

  return (
    <WebFListView scrollDirection="vertical" shrinkWrap={true}>
      {products.map(product => (
        // ✅ Each item is a direct child
        <div key={product.id} className="product-card">
          <h3>{product.name}</h3>
          <p>${product.price}</p>
        </div>
      ))}
    </WebFListView>
  );
}

Infinite Scrolling with Load More

tsx
import { WebFListView, WebFListViewElement } from '@openwebf/react-core-ui';
import { useRef, useState } from 'react';

function InfiniteList() {
  const listRef = useRef<WebFListViewElement>(null);
  const [items, setItems] = useState([1, 2, 3, 4, 5]);
  const [page, setPage] = useState(1);

  const handleLoadMore = async () => {
    try {
      // Simulate API call
      await new Promise(resolve => setTimeout(resolve, 1000));

      // Fetch next page
      const newItems = Array.from(
        { length: 5 },
        (_, i) => items.length + i + 1
      );

      setItems(prev => [...prev, ...newItems]);
      setPage(prev => prev + 1);

      // Check if there's more data
      const hasMore = page < 10; // Example: 10 pages max

      // Notify WebFListView that loading finished
      listRef.current?.finishLoad(hasMore ? 'success' : 'noMore');
    } catch (error) {
      // Notify failure
      listRef.current?.finishLoad('fail');
    }
  };

  return (
    <WebFListView
      ref={listRef}
      onLoadMore={handleLoadMore}
      scrollDirection="vertical"
      shrinkWrap={true}
    >
      {items.map(item => (
        <div key={item} className="item">
          Item {item}
        </div>
      ))}
    </WebFListView>
  );
}

Pull-to-Refresh

tsx
import { WebFListView, WebFListViewElement } from '@openwebf/react-core-ui';
import { useRef, useState } from 'react';

function RefreshableList() {
  const listRef = useRef<WebFListViewElement>(null);
  const [items, setItems] = useState([1, 2, 3, 4, 5]);

  const handleRefresh = async () => {
    try {
      // Simulate API call
      await new Promise(resolve => setTimeout(resolve, 1000));

      // Fetch fresh data
      const freshItems = [1, 2, 3, 4, 5];
      setItems(freshItems);

      // Notify WebFListView that refresh finished
      listRef.current?.finishRefresh('success');
    } catch (error) {
      // Notify failure
      listRef.current?.finishRefresh('fail');
    }
  };

  return (
    <WebFListView
      ref={listRef}
      onRefresh={handleRefresh}
      scrollDirection="vertical"
      shrinkWrap={true}
    >
      {items.map(item => (
        <div key={item} className="item">
          Item {item}
        </div>
      ))}
    </WebFListView>
  );
}

Combined: Pull-to-Refresh + Infinite Scrolling

tsx
import { WebFListView, WebFListViewElement } from '@openwebf/react-core-ui';
import { useRef, useState } from 'react';

function FeedList() {
  const listRef = useRef<WebFListViewElement>(null);
  const [posts, setPosts] = useState([
    { id: 1, title: 'Post 1', content: 'Content 1' },
    { id: 2, title: 'Post 2', content: 'Content 2' },
    { id: 3, title: 'Post 3', content: 'Content 3' },
  ]);
  const [page, setPage] = useState(1);

  const handleRefresh = async () => {
    try {
      // Fetch latest posts
      const response = await fetch('/api/posts?page=1');
      const freshPosts = await response.json();

      setPosts(freshPosts);
      setPage(1);

      listRef.current?.finishRefresh('success');
    } catch (error) {
      listRef.current?.finishRefresh('fail');
    }
  };

  const handleLoadMore = async () => {
    try {
      const nextPage = page + 1;

      // Fetch next page
      const response = await fetch(`/api/posts?page=${nextPage}`);
      const newPosts = await response.json();

      setPosts(prev => [...prev, ...newPosts]);
      setPage(nextPage);

      // Check if more data exists
      const hasMore = newPosts.length > 0;
      listRef.current?.finishLoad(hasMore ? 'success' : 'noMore');
    } catch (error) {
      listRef.current?.finishLoad('fail');
    }
  };

  return (
    <WebFListView
      ref={listRef}
      onRefresh={handleRefresh}
      onLoadMore={handleLoadMore}
      scrollDirection="vertical"
      shrinkWrap={true}
      style={{ height: '100vh' }}
    >
      {posts.map(post => (
        <article key={post.id} className="post-card">
          <h2>{post.title}</h2>
          <p>{post.content}</p>
        </article>
      ))}
    </WebFListView>
  );
}

Vue Setup

Installation

bash
npm install @openwebf/vue-core-ui

Setup Global Types

In your src/env.d.ts or src/main.ts:

typescript
import '@openwebf/vue-core-ui';

Basic Scrolling List

vue
<template>
  <webf-list-view scroll-direction="vertical" :shrink-wrap="true">
    <div v-for="product in products" :key="product.id" class="product-card">
      <h3>{{ product.name }}</h3>
      <p>${{ product.price }}</p>
    </div>
  </webf-list-view>
</template>

<script setup lang="ts">
import { ref } from 'vue';

const products = ref([
  { id: 1, name: 'Product 1', price: 19.99 },
  { id: 2, name: 'Product 2', price: 29.99 },
  { id: 3, name: 'Product 3', price: 39.99 },
]);
</script>

Infinite Scrolling with Load More

vue
<template>
  <webf-list-view
    ref="listRef"
    @loadmore="handleLoadMore"
    scroll-direction="vertical"
    :shrink-wrap="true"
  >
    <div v-for="item in items" :key="item" class="item">
      Item {{ item }}
    </div>
  </webf-list-view>
</template>

<script setup lang="ts">
import { ref } from 'vue';

const listRef = ref<HTMLElement>();
const items = ref([1, 2, 3, 4, 5]);
const page = ref(1);

async function handleLoadMore() {
  try {
    // Simulate API call
    await new Promise(resolve => setTimeout(resolve, 1000));

    // Fetch next page
    const newItems = Array.from(
      { length: 5 },
      (_, i) => items.value.length + i + 1
    );

    items.value.push(...newItems);
    page.value++;

    // Check if there's more data
    const hasMore = page.value < 10;

    // Notify WebFListView
    (listRef.value as any)?.finishLoad(hasMore ? 'success' : 'noMore');
  } catch (error) {
    (listRef.value as any)?.finishLoad('fail');
  }
}
</script>

Pull-to-Refresh

vue
<template>
  <webf-list-view
    ref="listRef"
    @refresh="handleRefresh"
    scroll-direction="vertical"
    :shrink-wrap="true"
  >
    <div v-for="item in items" :key="item" class="item">
      Item {{ item }}
    </div>
  </webf-list-view>
</template>

<script setup lang="ts">
import { ref } from 'vue';

const listRef = ref<HTMLElement>();
const items = ref([1, 2, 3, 4, 5]);

async function handleRefresh() {
  try {
    // Simulate API call
    await new Promise(resolve => setTimeout(resolve, 1000));

    // Fetch fresh data
    items.value = [1, 2, 3, 4, 5];

    // Notify WebFListView
    (listRef.value as any)?.finishRefresh('success');
  } catch (error) {
    (listRef.value as any)?.finishRefresh('fail');
  }
}
</script>

Props and Configuration

WebFListView Props

PropTypeDefaultDescription
scrollDirection'vertical' | 'horizontal''vertical'Scroll direction for the list
shrinkWrapbooleantrueWhether list should shrink-wrap its contents
onRefresh / @refresh() => void | Promise<void>-Pull-to-refresh callback
onLoadMore / @loadmore() => void | Promise<void>-Infinite scroll callback (triggered near end)
className / classstring-CSS class names
styleobject-Inline styles

Ref Methods (React) / Element Methods (Vue)

MethodSignatureDescription
finishRefresh(result?: 'success' | 'fail' | 'noMore') => voidCall after refresh completes
finishLoad(result?: 'success' | 'fail' | 'noMore') => voidCall after load-more completes
resetHeader() => voidReset refresh header to initial state
resetFooter() => voidReset load-more footer to initial state

Result Values

  • 'success' - Operation succeeded, more data available
  • 'fail' - Operation failed (shows error state)
  • 'noMore' - No more data to load (hides footer/shows "no more" message)

Common Patterns

Pattern 1: Search with Results List

tsx
import { WebFListView, WebFListViewElement } from '@openwebf/react-core-ui';
import { useRef, useState } from 'react';

function SearchResults() {
  const listRef = useRef<WebFListViewElement>(null);
  const [query, setQuery] = useState('');
  const [results, setResults] = useState([]);

  const handleSearch = async (searchQuery: string) => {
    setQuery(searchQuery);

    // Fetch search results
    const response = await fetch(`/api/search?q=${searchQuery}`);
    const data = await response.json();

    setResults(data.results);
  };

  const handleLoadMore = async () => {
    try {
      const response = await fetch(
        `/api/search?q=${query}&offset=${results.length}`
      );
      const data = await response.json();

      setResults(prev => [...prev, ...data.results]);

      listRef.current?.finishLoad(
        data.results.length > 0 ? 'success' : 'noMore'
      );
    } catch (error) {
      listRef.current?.finishLoad('fail');
    }
  };

  return (
    <div>
      <input
        type="text"
        placeholder="Search..."
        onChange={(e) => handleSearch(e.target.value)}
      />

      <WebFListView
        ref={listRef}
        onLoadMore={handleLoadMore}
        scrollDirection="vertical"
        shrinkWrap={true}
      >
        {results.map(result => (
          <div key={result.id} className="search-result">
            {result.title}
          </div>
        ))}
      </WebFListView>
    </div>
  );
}

Pattern 2: Chat Messages (Reverse List)

For chat-style UIs where new messages appear at the bottom:

tsx
import { WebFListView, WebFListViewElement } from '@openwebf/react-core-ui';
import { useRef, useState, useEffect } from 'react';

function ChatMessages() {
  const listRef = useRef<WebFListViewElement>(null);
  const [messages, setMessages] = useState([
    { id: 1, text: 'Hello', timestamp: Date.now() },
    { id: 2, text: 'Hi there!', timestamp: Date.now() },
  ]);

  // Load older messages when scrolling to top
  const handleLoadMore = async () => {
    try {
      // In real app, fetch older messages before first message
      const oldestId = messages[0]?.id;
      const response = await fetch(`/api/messages?before=${oldestId}`);
      const olderMessages = await response.json();

      // Prepend older messages
      setMessages(prev => [...olderMessages, ...prev]);

      listRef.current?.finishLoad(
        olderMessages.length > 0 ? 'success' : 'noMore'
      );
    } catch (error) {
      listRef.current?.finishLoad('fail');
    }
  };

  return (
    <WebFListView
      ref={listRef}
      onLoadMore={handleLoadMore}
      scrollDirection="vertical"
      shrinkWrap={true}
      style={{
        height: '100vh',
        display: 'flex',
        flexDirection: 'column-reverse' // Reverse order
      }}
    >
      {messages.map(message => (
        <div key={message.id} className="message">
          {message.text}
        </div>
      ))}
    </WebFListView>
  );
}

Pattern 3: Horizontal Scrolling Gallery

tsx
import { WebFListView } from '@openwebf/react-core-ui';

function ImageGallery({ images }) {
  return (
    <WebFListView
      scrollDirection="horizontal"
      shrinkWrap={true}
      style={{
        display: 'flex',
        height: '200px',
        gap: '10px'
      }}
    >
      {images.map(image => (
        <img
          key={image.id}
          src={image.url}
          alt={image.title}
          style={{
            width: '150px',
            height: '150px',
            objectFit: 'cover',
            flexShrink: 0  // Prevent shrinking
          }}
        />
      ))}
    </WebFListView>
  );
}

Common Mistakes

Mistake 1: Wrapping Items in Container

jsx
// ❌ WRONG - Items wrapped in container div
<WebFListView>
  <div className="items-container">
    {items.map(item => <div key={item}>{item}</div>)}
  </div>
</WebFListView>

// ✅ CORRECT - Items are direct children
<WebFListView>
  {items.map(item => <div key={item}>{item}</div>)}
</WebFListView>

Why: Flutter's ListView needs direct children for view recycling to work.

Mistake 2: Forgetting to Call finishLoad/finishRefresh

tsx
// ❌ WRONG - Never calls finishLoad
const handleLoadMore = async () => {
  const data = await fetchData();
  setItems(prev => [...prev, ...data]);
  // finishLoad never called - loading indicator stuck!
};

// ✅ CORRECT - Always call finishLoad
const handleLoadMore = async () => {
  try {
    const data = await fetchData();
    setItems(prev => [...prev, ...data]);
    listRef.current?.finishLoad('success');
  } catch (error) {
    listRef.current?.finishLoad('fail');
  }
};

Mistake 3: Not Handling "No More Data" State

tsx
// ❌ WRONG - Always calls 'success', even when no data
const handleLoadMore = async () => {
  const data = await fetchData();
  setItems(prev => [...prev, ...data]);
  listRef.current?.finishLoad('success'); // Wrong if data is empty!
};

// ✅ CORRECT - Check if more data exists
const handleLoadMore = async () => {
  const data = await fetchData();
  setItems(prev => [...prev, ...data]);

  // Tell WebFListView there's no more data
  listRef.current?.finishLoad(data.length > 0 ? 'success' : 'noMore');
};

Mistake 4: Timeout Issues (Taking Too Long)

WebFListView has a 4-second timeout for refresh/load operations. If your operation takes longer, it will auto-fail.

tsx
// ❌ WRONG - Operation takes 10 seconds (will timeout)
const handleRefresh = async () => {
  await new Promise(resolve => setTimeout(resolve, 10000)); // 10s
  listRef.current?.finishRefresh('success'); // Too late!
};

// ✅ CORRECT - Complete within 4 seconds
const handleRefresh = async () => {
  try {
    // Use Promise.race to enforce timeout
    await Promise.race([
      fetchData(),
      new Promise((_, reject) =>
        setTimeout(() => reject(new Error('Timeout')), 3500)
      )
    ]);
    listRef.current?.finishRefresh('success');
  } catch (error) {
    listRef.current?.finishRefresh('fail');
  }
};

Performance Tips

1. Use Keys Correctly

Always provide unique, stable keys for list items:

tsx
// ✅ GOOD - Stable ID from data
{items.map(item => <div key={item.id}>{item.name}</div>)}

// ❌ BAD - Index as key (can cause bugs with dynamic lists)
{items.map((item, index) => <div key={index}>{item.name}</div>)}

2. Avoid Heavy Computations in Render

tsx
// ❌ BAD - Heavy computation on every render
<WebFListView>
  {items.map(item => (
    <div key={item.id}>
      {expensiveCalculation(item)} {/* Calculated on every render! */}
    </div>
  ))}
</WebFListView>

// ✅ GOOD - Memoize or pre-calculate
const processedItems = useMemo(
  () => items.map(item => ({ ...item, computed: expensiveCalculation(item) })),
  [items]
);

<WebFListView>
  {processedItems.map(item => (
    <div key={item.id}>{item.computed}</div>
  ))}
</WebFListView>

3. Optimize Item Components

tsx
// ✅ GOOD - Memoized item component
const ListItem = memo(({ item }) => (
  <div className="item">
    <h3>{item.title}</h3>
    <p>{item.description}</p>
  </div>
));

function MyList({ items }) {
  return (
    <WebFListView>
      {items.map(item => (
        <ListItem key={item.id} item={item} />
      ))}
    </WebFListView>
  );
}

4. Set Explicit Height for Scrolling

For full-screen lists, set explicit height:

tsx
<WebFListView
  style={{
    height: '100vh', // or specific pixel value
    overflow: 'auto'
  }}
>
  {/* items */}
</WebFListView>

Debugging

Check if finishLoad/finishRefresh is Called

Add logging to verify callbacks execute:

tsx
const handleLoadMore = async () => {
  console.log('🔄 Load more started');

  try {
    const data = await fetchData();
    setItems(prev => [...prev, ...data]);

    console.log('✅ Load more finished:', data.length, 'items');
    listRef.current?.finishLoad(data.length > 0 ? 'success' : 'noMore');
  } catch (error) {
    console.error('❌ Load more failed:', error);
    listRef.current?.finishLoad('fail');
  }
};

Verify Direct Children Structure

Use React DevTools or Vue DevTools to inspect the rendered structure. Ensure items are direct children of <webf-listview>:

html
<!-- ✅ CORRECT structure in DevTools -->
<webf-listview>
  <div>Item 1</div>
  <div>Item 2</div>
  <div>Item 3</div>
</webf-listview>

<!-- ❌ WRONG structure in DevTools -->
<webf-listview>
  <div class="wrapper">
    <div>Item 1</div>
    <div>Item 2</div>
  </div>
</webf-listview>

Resources

Key Takeaways

DO:

  • Use WebFListView for long scrolling lists
  • Make each item a direct child (not wrapped in container)
  • Always call finishLoad / finishRefresh after operations
  • Use 'noMore' result when no more data exists
  • Provide unique, stable keys for list items
  • Set explicit height for full-screen lists

DON'T:

  • Wrap items in a container div
  • Forget to call finish methods (loading indicator gets stuck)
  • Use index as key for dynamic lists
  • Let operations exceed 4-second timeout
  • Use heavy computations in render without memoization
  • Expect browser-style virtualization libraries (not needed!)

Quick Reference

bash
# Install packages
npm install @openwebf/react-core-ui  # React
npm install @openwebf/vue-core-ui    # Vue
tsx
// React - Basic pattern
import { WebFListView, WebFListViewElement } from '@openwebf/react-core-ui';

const listRef = useRef<WebFListViewElement>(null);

<WebFListView
  ref={listRef}
  onRefresh={async () => {
    await refreshData();
    listRef.current?.finishRefresh('success');
  }}
  onLoadMore={async () => {
    const hasMore = await loadMore();
    listRef.current?.finishLoad(hasMore ? 'success' : 'noMore');
  }}
>
  {items.map(item => <div key={item.id}>{item.name}</div>)}
</WebFListView>
vue
<!-- Vue - Basic pattern -->
<webf-list-view
  ref="listRef"
  @refresh="handleRefresh"
  @loadmore="handleLoadMore"
>
  <div v-for="item in items" :key="item.id">{{ item.name }}</div>
</webf-list-view>

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 Webf Infinite Scrolling AI skill do?

Create high-performance infinite scrolling lists with pull-to-refresh and load-more capabilities using WebFListView. Use when building feed-style UIs, product catalogs, chat messages, or any scrollable list that needs optimal performance with large datasets.

Why use Webf Infinite Scrolling on TypingMind?

Because you install it once and use it with any model. Webf Infinite Scrolling 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 Webf Infinite Scrolling in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/openwebf/webf/tree/main/skills/webf-infinite-scrolling. 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 Webf Infinite Scrolling?

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 Webf Infinite Scrolling?

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

Is the Webf Infinite Scrolling AI skill free?

Yes. It is published on GitHub by openwebf under the GPL-3.0 license. 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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