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Webf Api Compatibility

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openwebf
webf-api-compatibility

Check Web API and CSS feature compatibility in WebF - determine what JavaScript APIs, DOM methods, CSS properties, and layout modes are supported. Use when planning features, debugging why APIs don't work, or finding alternatives for unsupported features like IndexedDB, WebGL, float layout, or CSS Grid.

Overview

Publisheropenwebf
Repositorywebf
Skill namewebf-api-compatibility
Stars
2.5K
Forks
163
Bundled files
2
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.

  • 2 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 Api Compatibility 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-api-compatibility .claude/skills/webf-api-compatibility
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Webf Api Compatibility 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 Api Compatibility 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 Api Compatibility 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 API & CSS Compatibility

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 one of the 3 key differences: checking API and CSS compatibility before implementation. The other two differences are async rendering and routing.

WebF is NOT a browser - it's a Flutter application runtime that implements W3C/WHATWG web standards. This means some browser APIs are not available, and some CSS features work differently.

This skill helps you quickly check what's supported and find alternatives for unsupported features.

Quick Compatibility Check

When asked about a specific API or CSS feature, I will:

  1. Check if it's in the supported list
  2. Provide the compatibility status (✅ Supported, ⏳ Coming Soon, ❌ Not Supported)
  3. Explain why it's not supported (if applicable)
  4. Suggest alternatives or workarounds

JavaScript & Web APIs

✅ Fully Supported

Timers & Animation
  • setTimeout(), clearTimeout()
  • setInterval(), clearInterval()
  • requestAnimationFrame(), cancelAnimationFrame()
Networking
  • fetch() - Full support with async/await
  • XMLHttpRequest - For legacy code
  • WebSocket - Real-time bidirectional communication
  • EventSource - Server-Sent Events (SSE) for real-time server push
  • URL and URLSearchParams - URL manipulation
Storage
  • localStorage - Persistent key-value storage
  • sessionStorage - Session-only storage
Graphics
  • Canvas 2D - Full 2D canvas API
  • SVG - SVG element rendering
DOM APIs
  • document, window, navigator
  • querySelector(), querySelectorAll()
  • addEventListener(), removeEventListener()
  • createElement(), appendChild(), etc.
  • MutationObserver - Watch DOM changes
  • Custom Elements - Define custom HTML elements
Events
  • click - Enabled by default
  • Other events via FlutterGestureDetector (double-tap, long-press, etc.)

⏳ Coming Soon

  • CSS Grid - Planned for future release
  • Tailwind CSS v4 - Planned for 2026

❌ NOT Supported

Storage
  • IndexedDB - Use native plugin instead
    • Alternative: sqflite, hive, or custom plugin
Graphics
  • WebGL - Not available, no alternative
  • Web Animations API (JavaScript) - CSS animations work, but not the JS API
Workers
  • Web Workers - Not needed
    • Why: JavaScript already runs on dedicated thread in WebF
    • No performance benefit from workers
DOM
  • Shadow DOM - Not used for component encapsulation
    • Use framework component systems instead (React, Vue, etc.)
Observers
  • IntersectionObserver - Use onscreen/offscreen events instead

CSS Compatibility

✅ Fully Supported Layout Modes

Standard Flow
  • block - Block-level elements
  • inline - Inline elements
  • inline-block - Inline elements with block properties
Flexbox (Recommended)
  • display: flex
  • All flex properties (justify-content, align-items, flex-direction, etc.)
  • This is the recommended layout approach
Positioned Layout
  • position: relative
  • position: absolute
  • position: fixed
  • position: sticky
Text & Direction
  • RTL (right-to-left) support
  • All text alignment and direction properties

❌ NOT Supported Layout Modes

Float Layout (Legacy)
  • float: left / float: right - NOT SUPPORTED
  • clear - NOT SUPPORTED
  • Why: Legacy layout model, use Flexbox instead
Table Layout
  • display: table - NOT SUPPORTED
  • display: table-row, display: table-cell - NOT SUPPORTED
  • Why: Use Flexbox or CSS Grid (when available)

⏳ Coming Soon

CSS Grid
  • display: grid - Planned
  • All grid properties - Planned
  • Use Flexbox until Grid is available

✅ Fully Supported CSS Features

Colors & Backgrounds
  • All color formats (hex, rgb, rgba, hsl, hsla, named)
  • background-color, background-image, background-size, etc.
  • Linear gradients, radial gradients
Borders & Shapes
  • border, border-radius, border-color, etc.
  • box-shadow, text-shadow
Transforms (Hardware Accelerated)
  • transform: translate(), rotate(), scale(), skew()
  • 2D and 3D transforms
  • Use for smooth animations
Animations & Transitions
  • transition - All transition properties
  • @keyframes and animation
  • CSS animations are fully supported
Layout & Sizing
  • width, height, min-width, max-width, etc.
  • margin, padding
  • box-sizing
Responsive Design
  • @media queries
  • Viewport units (vw, vh, vmin, vmax)
  • Some advanced units not supported (dvh, lvh, svh)
Advanced CSS
  • CSS variables (--custom-property)
  • Pseudo-classes (:hover, :active, :focus, etc.)
  • Pseudo-elements (::before, ::after)
  • Filters (blur, brightness, contrast, etc.)
  • z-index and stacking contexts

⚠️ Partially Supported

Tailwind CSS
  • v3 - ✅ Supported (some utilities may not work if they use unsupported features)
  • v4 - ❌ Not yet supported (planned for 2026)

❌ NOT Supported CSS Features

  • backdrop-filter - Not available
  • Advanced viewport units - dvh, lvh, svh

Architecture Differences

Understanding why some features aren't available:

AspectBrowserWebF
RuntimeV8 / SpiderMonkeyQuickJS (ES6+)
DOMBlink / GeckoCustom C++ + Dart
LayoutBrowser engineFlutter rendering
PurposeGeneral web browsingApp runtime

Key Insight: WebF implements core web standards for building apps, not for web browsing.

Finding Alternatives

For IndexedDB → Use Native Storage

javascript
// ❌ IndexedDB not available
// const db = await openDB('mydb', 1);

// ✅ Option 1: localStorage for simple key-value storage (RECOMMENDED for most cases)
localStorage.setItem('user', JSON.stringify({ name: 'Alice', age: 30 }));
const user = JSON.parse(localStorage.getItem('user'));

// ✅ Option 2: Request custom native plugin from Flutter team
// For complex database needs (SQL, large datasets, queries):
// - Flutter team creates native plugin using sqflite, Hive, or Isar
// - Plugin exposed to JavaScript via WebF module system
// - See: https://openwebf.com/en/docs/add-webf-to-flutter/bridge-modules

// Example of custom storage plugin (created by Flutter team):
// import { AppStorage } from '@yourapp/storage-plugin';
// await AppStorage.save('key', { complex: 'data' });
// const data = await AppStorage.get('key');

For WebGL → No Alternative

javascript
// ❌ WebGL not available
// const gl = canvas.getContext('webgl');

// ✅ Use Canvas 2D instead (limited graphics)
const ctx = canvas.getContext('2d');

// ✅ Or use Flutter's rendering for complex graphics
// Flutter team can render directly

For Float Layout → Use Flexbox

css
/* ❌ Float layout not supported */
.sidebar { float: left; width: 200px; }
.content { float: right; width: calc(100% - 200px); }

/* ✅ Use Flexbox instead */
.container { display: flex; }
.sidebar { width: 200px; flex-shrink: 0; }
.content { flex-grow: 1; }

For Table Layout → Use Flexbox

css
/* ❌ Table layout not supported */
.table { display: table; }
.row { display: table-row; }
.cell { display: table-cell; }

/* ✅ Use Flexbox instead */
.table { display: flex; flex-direction: column; }
.row { display: flex; }
.cell { flex: 1; }

For Native Device Features → Use WebF Plugins

Check available plugins: https://openwebf.com/en/native-plugins

WebF provides official npm packages for native features. When you need a native feature:

  1. First, check the available plugins list at https://openwebf.com/en/native-plugins
  2. Ask the user about their environment before providing setup instructions
  3. Follow the plugin's installation guide for their specific environment
Step 1: Determine Your Environment

IMPORTANT: Setup differs based on your development environment.

Question: "Are you testing in WebF Go, or working on a production app?"

Option 1: Testing in WebF Go (Most web developers)

  • ✅ Just install npm package
  • ✅ No additional setup needed
  • Example: npm install @openwebf/webf-share

Option 2: Production app with Flutter team

  • ⚠️ Your Flutter developer needs to add the Flutter plugin first
  • ⚠️ Once they've done that, you install the npm package
  • ⚠️ Coordinate with your Flutter team - give them the plugin documentation
Example: Native Share Plugin

If using WebF Go:

bash
# Just install npm package
npm install @openwebf/webf-share

If integrating with Flutter app:

bash
# 1. Add Flutter plugin first (in pubspec.yaml)
# See: https://openwebf.com/en/native-plugins/webf-share

# 2. Then install npm package
npm install @openwebf/webf-share

Usage in JavaScript:

javascript
import { WebFShare } from '@openwebf/webf-share';

// Check availability first
if (WebFShare.isAvailable()) {
  // Share text
  await WebFShare.shareText({
    text: 'Check this out!',
    url: 'https://example.com',
    title: 'My App'
  });
}

// Or use React hook
import { useWebFShare } from '@openwebf/webf-share';

function ShareButton() {
  const { share, isAvailable } = useWebFShare();

  if (!isAvailable) return null;

  return (
    <button onClick={() => share({ text: 'Hello!' })}>
      Share
    </button>
  );
}
Finding the Right Plugin

When looking for native features:

  1. Check plugin list: https://openwebf.com/en/native-plugins
  2. If plugin exists: Follow its installation guide
  3. If no plugin exists:
    • For WebF Go users: Feature may not be available
    • For Flutter integration: Create custom plugin using WebF Module System

How to Check Compatibility

1. Check the Compatibility Table

See reference.md in this skill for complete compatibility tables.

2. Test in WebF Go

javascript
// Quick compatibility test
if (typeof IndexedDB !== 'undefined') {
  console.log('IndexedDB available');
} else {
  console.log('IndexedDB NOT available - use alternative');
}

// Check for WebF-specific features
if (typeof WebF !== 'undefined') {
  console.log('Running in WebF');
}

3. Use Feature Detection

javascript
function checkStorageOptions() {
  const support = {
    localStorage: typeof localStorage !== 'undefined',
    sessionStorage: typeof sessionStorage !== 'undefined',
    indexedDB: typeof indexedDB !== 'undefined'
  };

  console.log('Storage support:', support);
  return support;
}

Common Questions

"Can I use Tailwind CSS?"

Yes, but only v3 - v4 is planned for 2026.

bash
# Install Tailwind v3
npm install -D tailwindcss@^3.0 postcss autoprefixer

Some Tailwind utilities may not work if they use unsupported CSS features (like float or table layout).

"Why no Web Workers?"

JavaScript in WebF already runs on a dedicated thread, separate from the Flutter UI thread. Web Workers would provide no performance benefit.

"Can I use React Query / SWR / Axios?"

Yes! All popular libraries that use fetch() or XMLHttpRequest work perfectly:

  • ✅ React Query
  • ✅ SWR
  • ✅ Axios
  • ✅ TanStack Query
  • ✅ Apollo Client (if using fetch)

"Can I use AI streaming APIs (OpenAI, etc.)?"

Yes! WebF supports both EventSource (SSE) and fetch() streaming, which are the two main approaches used by AI SDKs:

  • ✅ OpenAI streaming (uses SSE)
  • ✅ Vercel AI SDK (uses SSE / fetch streaming)
  • ✅ Any SSE-based streaming API
  • EventSource with named events, auto-reconnect, and lastEventId

"What about CSS-in-JS libraries?"

Most work fine as they generate standard CSS:

  • ✅ styled-components
  • ✅ Emotion
  • ✅ CSS Modules
  • ✅ Sass/SCSS

"Can I use CSS Grid?"

Not yet - it's coming soon. Use Flexbox for now, which handles most layouts.

Debugging Compatibility Issues

If a feature isn't working:

  1. Check this compatibility guide - Is it supported?
  2. Test in browser first - Does it work in a regular browser?
  3. Check for typos - Correct API names?
  4. Read error messages - WebF provides helpful errors
  5. Use feature detection - Check if API exists before using
javascript
// Good practice: feature detection
if (typeof fetch !== 'undefined') {
  // Use fetch
} else {
  // Fallback or error message
  console.error('fetch not available');
}

Resources

Quick Decision Tree

Need storage?
├─ Simple key-value → localStorage ✅
├─ Complex database → Native plugin (sqflite/hive) ✅
└─ IndexedDB → ❌ Not available

Need layout?
├─ Flexible layout → Flexbox ✅
├─ Grid layout → Wait for CSS Grid ⏳ or use Flexbox
├─ Float layout → ❌ Use Flexbox instead
└─ Table layout → ❌ Use Flexbox instead

Need graphics?
├─ 2D canvas → Canvas 2D ✅
├─ SVG → SVG ✅
├─ 3D graphics → ❌ WebGL not available
└─ Complex graphics → Flutter rendering ✅

Need networking?
├─ HTTP requests → fetch ✅
├─ Real-time (bidirectional) → WebSocket ✅
├─ Real-time (server push) → EventSource (SSE) ✅
├─ AI streaming → EventSource or fetch ✅
└─ GraphQL → fetch-based clients ✅

Need native features?
├─ Share → @openwebf/webf-share ✅
├─ Camera → Native plugin ✅
├─ Storage → Native plugin ✅
└─ Custom → Flutter team creates plugin ✅

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 Api Compatibility AI skill do?

Check Web API and CSS feature compatibility in WebF - determine what JavaScript APIs, DOM methods, CSS properties, and layout modes are supported. Use when planning features, debugging why APIs don't work, or finding alternatives for unsupported features like IndexedDB, WebGL, float layout, or CSS Grid.

Why use Webf Api Compatibility on TypingMind?

Because you install it once and use it with any model. Webf Api Compatibility 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 Api Compatibility in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/openwebf/webf/tree/main/skills/webf-api-compatibility. 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 Api Compatibility?

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 Api Compatibility?

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

Is the Webf Api Compatibility 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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