flutter-skill

Give any AI agent eyes and hands inside any running app.
10 platforms. Zero test code. One MCP server.

Demo • Quick Start • AI Platforms • Platforms • vs Others • Docs

🚀 Zero config. Zero test code. Just talk to your AI.

_{If this saves you time, please consider starring the repo ⭐ — it helps others find it!}

30-Second Demo

https://github.com/user-attachments/assets/d4617c73-043f-424c-9a9a-1a61d4c2d3c6

One prompt. 28 AI-driven actions. Zero test code. The AI explores a TikTok clone, navigates tabs, scrolls feeds, tests search, fills forms — all autonomously.

Why This Exists

Writing E2E tests is painful. Maintaining them is worse. flutter-skill takes a different approach:

• 🔌 Connects any AI agent (Claude, Cursor, Windsurf, Copilot, OpenClaw) directly to your running app via MCP
• 👀 The agent sees your screen — taps buttons, types text, scrolls, navigates — like a human tester who never sleeps
• ✅ Zero test code — no Page Objects, no XPath, no brittle selectors. Just plain English
• ⚡ Zero config — 2 lines of code, works on all 10 platforms

You: "Test the checkout flow with an empty cart, then add 3 items and complete purchase"

Your AI agent handles the rest — screenshots, taps, text entry, assertions, navigation.
No Page Objects. No XPath. No brittle selectors. Just plain English.

Quick Start

1. Install (30 seconds)

npm install -g flutter-skill

2. Add to your AI (copy-paste into MCP config)

{
  "mcpServers": {
    "flutter-skill": {
      "command": "flutter-skill",
      "args": ["server"]
    }
  }
}

Works with Claude Desktop, Cursor, Windsurf, Copilot, Cline, OpenClaw — any MCP-compatible agent.

3. Add to your app (2 lines for Flutter)

import 'package:flutter_skill/flutter_skill.dart';

void main() {
  if (kDebugMode) FlutterSkillBinding.ensureInitialized();
  runApp(MyApp());
}

4. Test — just talk to your AI:

"Launch my app, explore every screen, and report any bugs"

That's it. Zero configuration. Zero test code. Works in under 60 seconds.

Use with AI Platforms

MCP Server Mode (IDE Integration)

Works with any MCP-compatible AI tool. One config line:

{
  "mcpServers": {
    "flutter-skill": {
      "command": "flutter-skill",
      "args": ["server"]
    }
  }
}

HTTP Serve Mode (CLI & Automation)

For standalone browser automation, CI/CD pipelines, or remote access:

# Start server
flutter-skill serve https://your-app.com

# Use CLI client commands
flutter-skill nav https://google.com
flutter-skill snap                    # Accessibility tree (99% fewer tokens)
flutter-skill screenshot /tmp/ss.jpg
flutter-skill tap "Login"
flutter-skill type "[email protected]"
flutter-skill eval "document.title"
flutter-skill tools                   # List all available tools

Supports --port=N, --host=H flags and FS_PORT/FS_HOST env vars.

Two Modes Compared

Full CLI client reference: docs/CLI_CLIENT.md

10 Platforms, One Tool

Most testing tools work on 1-2 platforms. flutter-skill works on 10.

Total: 656/664 tests passing (98.8%) — each platform tested against a complex social media app with 50+ elements.

⚡ Performance

Real benchmarks from automated test runs against a complex social media app:

Token efficiency: snapshot() returns a structured element tree instead of an image — 87–99% fewer tokens than sending screenshots to your AI agent.

How fast is that? A tap takes 1–2 ms end-to-end. Browser automation tools like Playwright and Selenium typically take 50–100 ms for the same operation. That's 50–100× faster, because flutter-skill talks directly to the app runtime instead of going through WebDriver or CDP indirection.

Heavy DOM Sites (Real-World)

Tested 15 MCP tools against production websites — 75/75 passed, zero timeouts:

Total time includes page load. Tool execution is consistently sub-100ms even on heavy DOM sites.

Why Not Playwright / Appium / Detox?

| AI page understanding | ✅ AX Tree | ❌ Screenshots | ❌ | ❌ | | Boundary/security test | ✅ 13 payloads | ❌ | ❌ | ❌ | | Batch actions | ✅ 5+/call | 1/call | 1/call | 1/call |

flutter-skill is the only AI-native E2E testing tool that works across mobile, web, and desktop — with 7× more tools than the nearest competitor.

CLI Commands

# 🤖 AI autonomous exploration — finds bugs automatically
flutter-skill explore https://my-app.com --depth=3

# 🐒 Monkey/fuzz testing — random actions, crash detection
flutter-skill monkey https://my-app.com --actions=100 --seed=42

# 🚀 Parallel multi-platform testing
flutter-skill test --url https://my-app.com --platforms web,electron,android

# 🌐 Zero-config WebMCP server — any website becomes testable
flutter-skill serve https://my-app.com

🧠 AI-Native: 95% Fewer Tokens

Most AI testing tools send screenshots to the LLM — each one costs ~4,000 tokens.

flutter-skill uses Chrome's Accessibility Tree to give your AI a compact semantic summary of any page:

// page_summary → ~200 tokens (vs ~4,000 for a screenshot)
{
  "title": "Shopping Cart",
  "nav": ["Home", "Products", "Cart", "Account"],
  "forms": [{"input:Coupon Code": "text"}],
  "buttons": ["Apply", "Checkout", "Continue Shopping"],
  "features": {"search": true, "pagination": true},
  "links": 47, "inputs": 3
}

Then batch multiple actions in one call:

// explore_actions → 5 actions per call (vs 5 separate tool calls)
{"actions": [
  {"type": "fill", "target": "input:Coupon Code", "value": "SAVE20"},
  {"type": "tap", "target": "button:Apply"},
  {"type": "tap", "target": "button:Checkout"},
  {"type": "fill", "target": "input:Email", "value": "[email protected]"},
  {"type": "tap", "target": "button:Continue"}
]}

Result: Your AI agent tests faster, costs less, and understands pages better than screenshot-based tools.

What It Can Do

Platform Setup

dependencies:
  flutter_skill: ^0.9.27

import 'package:flutter_skill/flutter_skill.dart';

void main() {
  if (kDebugMode) FlutterSkillBinding.ensureInitialized();
  runApp(MyApp());
}

npm install flutter-skill-react-native

import FlutterSkill from 'flutter-skill-react-native';
FlutterSkill.start();

npm install flutter-skill-electron

const { FlutterSkillBridge } = require('flutter-skill-electron');
FlutterSkillBridge.start(mainWindow);

// Swift Package Manager: FlutterSkillSDK
import FlutterSkill
FlutterSkillBridge.shared.start()

Text("Hello").flutterSkillId("greeting")

implementation("com.flutterskill:flutter-skill:0.8.0")

FlutterSkillBridge.start(this)

[dependencies]
flutter-skill-tauri = "0.8.0"

Example Prompts

Just tell your AI what to test:

Contributing

See CONTRIBUTING.md for guidelines.

git clone https://github.com/ai-dashboad/flutter-skill
cd flutter-skill
dart pub get
dart run bin/flutter_skill.dart server  # Start MCP server

Links

⭐ If flutter-skill saves you time, star it so others can find it too!

MIT License © 2025