flutter-skill

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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.

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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.

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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.

Method	Command
npm	npm install -g flutter-skill
Homebrew	brew install ai-dashboad/flutter-skill/flutter-skill
Scoop	scoop install flutter-skill
Docker	docker pull ghcr.io/ai-dashboad/flutter-skill
pub.dev	dart pub global activate flutter_skill
VSCode	Extensions → "Flutter Skill"
JetBrains	Plugins → "Flutter Skill"
Agent Skill	npx skills add ai-dashboad/flutter-skill
Zero-config	flutter-skill init (auto-detects & patches your app)

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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"]
    }
  }
}

Platform	Config File	Status
Cursor	.cursor/mcp.json	✅
Claude Desktop	claude_desktop_config.json	✅
Windsurf	~/.codeium/windsurf/mcp_config.json	✅
VSCode Copilot	.vscode/mcp.json	✅
Cline	VSCode Settings → Cline → MCP	✅
OpenClaw	Skill or MCP config	✅
Continue.dev	.continue/config.json	✅

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

Command	Description
nav <url>	Navigate to URL
snap	Accessibility tree snapshot
screenshot [path]	Take screenshot
tap <text|ref|x y>	Tap element
type <text>	Type via keyboard
key <key> [mod]	Press key
eval <js>	Execute JavaScript
title	Get page title
text	Get visible text
hover <text>	Hover element
upload <sel> <file>	Upload file
tools	List tools
call <tool> [json]	Call any tool

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

Two Modes Compared

	server (MCP stdio)	serve (HTTP)
Use case	IDE / AI agent integration	CLI / automation / CI/CD
Protocol	MCP (JSON-RPC over stdio)	HTTP REST
Tools	253 (dynamic per page)	246 (generic)
Browser	Auto-launches Chrome	Connects to existing Chrome
Best for	Cursor, Claude, VSCode	OpenClaw, scripts, pipelines

Full CLI client reference: docs/CLI_CLIENT.md

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10 Platforms, One Tool

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

Platform	SDK	Test Score
Flutter (iOS/Android/Web)	flutter_skill	✅ 188/195
React Native	sdks/react-native	✅ 75/75
Electron	sdks/electron	✅ 75/75
Tauri (Rust)	sdks/tauri	✅ 75/75
Android (Kotlin)	sdks/android	✅ 74/75
KMP Desktop	sdks/kmp	✅ 75/75
.NET MAUI	sdks/dotnet-maui	✅ 75/75
iOS (Swift/UIKit)	sdks/ios	✅ 19/19
Web (any website)	sdks/web	✅
Web CDP (zero-config)	No SDK needed	✅ 141/156

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

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⚡ Performance

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

Operation	Web (CDP)	Electron	Android
connect	93 ms	55 ms	103 ms
tap	1 ms	1 ms	2 ms
enter_text	1 ms	1 ms	2 ms
inspect	3 ms	12 ms	10 ms
snapshot	2 ms	8 ms	29 ms
screenshot	31 ms	80 ms	88 ms
eval	1 ms	—	—

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:

Site	Tools	Total Time	snapshot	screenshot	count_elements
YouTube	15/15 ✅	6.9s	43 ms	30 ms	4 ms
Amazon	15/15 ✅	14.2s	1 ms	5 ms	2 ms
Reddit	15/15 ✅	17.9s	6 ms	32 ms	51 ms
Hacker News	15/15 ✅	4.8s	53 ms	188 ms	1 ms
Wikipedia	15/15 ✅	7.8s	15 ms	336 ms	1 ms

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

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Why Not Playwright / Appium / Detox?

	flutter-skill	Playwright MCP	Appium	Detox
MCP tools	253	~33	❌	❌
Platforms	10	1 (web)	Mobile	React Native
Setup time	30 sec	Minutes	Hours	Hours
Test code needed	❌ None	✅ Yes	✅ Yes	✅ Yes
AI-native (MCP)	✅	✅	❌	❌
Self-healing tests	✅	❌	❌	❌
Monkey/fuzz testing	✅	❌	❌	❌
Visual regression	✅	❌	❌	❌
Network mock/replay	✅	❌	❌	❌
API + UI testing	✅	❌	❌	❌
Multi-device sync	✅	❌	Partial	❌
Accessibility audit	✅	❌	❌	❌
i18n testing	✅	❌	❌	❌
Performance monitoring	✅	❌	❌	❌
Natural language	✅	❌	❌	❌
Flutter support	✅ Native	Partial	Partial	❌
Desktop apps	✅	✅	❌	❌

| 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.

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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

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🧠 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.

	flutter-skill	Screenshot-based tools
Tokens per page	~200	~4,000
Actions per call	5+	1
Understands semantics	✅ roles, names, state	❌ pixels only
Works with Shadow DOM	✅	❌

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What It Can Do

👀 See

• screenshot — capture the screen
• inspect_interactive — all tappable/typeable elements with semantic refs
• find_element / wait_for_element
• get_elements — full element tree

👆 Interact

• tap / long_press / swipe / drag
• enter_text / set_text / clear_text
• scroll — all directions
• go_back / press_key

🔍 Inspect (v0.8.0)

• Semantic refs: button:Login, input:Email
• Stable across UI changes
• tap(ref: "button:Submit")
• 7 roles: button, input, toggle, slider, select, link, item

🚀 Control

• launch_app — launch with flavors
• hot_reload / hot_restart
• get_logs / get_errors
• scan_and_connect — auto-find apps

AI Explore: page_summary, explore_actions, boundary_test, explore_report

Launch & Connect: launch_app, scan_and_connect, connect_cdp, hot_reload, hot_restart, list_sessions, switch_session, close_session, disconnect, stop_app

Screen: screenshot, screenshot_region, screenshot_element, native_screenshot, inspect, inspect_interactive, snapshot, get_widget_tree, find_by_type, get_text_content, get_visible_text

Interaction: tap, double_tap, long_press, enter_text, set_text, clear_text, swipe, scroll_to, drag, go_back, press_key, type_text, hover, fill, select_option, set_checkbox, focus, blur, native_tap, native_input_text, native_swipe

Smart Testing: smart_tap, smart_enter_text, smart_assert (self-healing with fuzzy match)

Assertions: assert_text, assert_visible, assert_not_visible, assert_element_count, assert_batch, wait_for_element, wait_for_gone, wait_for_idle, wait_for_stable, wait_for_url, wait_for_text, wait_for_element_count

Visual Regression: visual_baseline_save, visual_baseline_compare, visual_baseline_update, visual_regression_report, visual_verify, visual_diff, compare_screenshot

Network Mock: mock_api, mock_clear, record_network, replay_network, intercept_requests, clear_interceptions, block_urls, http_request

API Testing: api_request, api_assert

Coverage & Reliability: coverage_start, coverage_stop, coverage_report, coverage_gaps, retry_on_fail, stability_check

Data-Driven: test_with_data, generate_test_data

Multi-Device: multi_connect, multi_action, multi_compare, multi_disconnect, parallel_snapshot, parallel_tap

Accessibility: accessibility_audit, a11y_full_audit, a11y_tab_order, a11y_color_contrast, a11y_screen_reader

i18n: set_locale, verify_translations, i18n_snapshot

Performance: perf_start, perf_stop, perf_report, get_performance, get_frame_stats, get_memory_stats

Session: save_session, restore_session, session_diff

Recording & Export: record_start, record_stop, record_export (Playwright, Cypress, XCUITest, Espresso, Detox, Maestro, +5 more), video_start, video_stop

Auth: auth_inject_session, auth_biometric, auth_otp, auth_deeplink

CDP Browser: navigate, reload, go_forward, get_title, get_page_source, eval, get_tabs, new_tab, switch_tab, close_tab, get_cookies, set_cookie, clear_cookies, get_local_storage, set_local_storage, clear_local_storage, generate_pdf, set_viewport, emulate_device, throttle_network, go_offline, set_geolocation, set_timezone, set_color_scheme

Debug: get_logs, get_errors, get_console_messages, get_network_requests, diagnose, diagnose_project, reset_app

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Platform Setup

dependencies:
  flutter_skill: ^0.9.7

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"

Add Gradle dependency — see sdks/kmp for details.

Add NuGet package — see sdks/dotnet-maui for details.

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Example Prompts

Just tell your AI what to test:

Prompt	What happens
"Test login with wrong password"	Screenshots → enters creds → taps login → verifies error
"Explore every screen and report bugs"	Systematically navigates all screens, tests all elements
"Fill registration with edge cases"	Tests emoji 🌍, long strings, empty fields, special chars
"Compare checkout flow on iOS and Android"	Runs same test on both platforms, compares screenshots
"Take screenshots of all 5 tabs"	Taps each tab, captures state

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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

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Links

📦 pub.dev	🧩 VSCode
📦 npm	🧩 JetBrains
🍺 Homebrew	📖 Docs
🤖 Agent Skill	📋 Changelog

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