vitest-midscene-e2e
web-infra-dev/midscene-skills
AI-powered E2E testing for Web, Android, and iOS using Vitest and Midscene's natural-language UI automation.
What is vitest-midscene-e2e?
Integrates Midscene into Vitest to enable AI-driven end-to-end testing across multiple platforms (Web via Playwright, Android via ADB, iOS via WDA). Use this when you need to write or maintain E2E tests that interact with UIs through natural-language descriptions instead of fragile selectors.
- Write E2E tests using natural-language UI interactions via the `aiAct` API
- Scaffold new Vitest projects with Midscene pre-configured for Web, Android, or iOS
- Convert existing projects to include Midscene testing setup
- Create, update, debug, and run E2E tests across Web (Playwright), Android (ADB), and iOS (WDA) platforms
- Extract data and verify UI state using AI-driven assertions without manual selectors
How to install vitest-midscene-e2e
npx skills add https://github.com/web-infra-dev/midscene-skills --skill vitest-midscene-e2e- Node.js and npm/yarn installed
- Vitest configured in your project (or use the provided boilerplate)
- For Web tests: Playwright Chromium
- For Android tests: ADB and scrcpy installed and configured
- For iOS tests: WebDriverAgent (WDA) installed and configured
- .env file with required credentials and configuration (template provided)
How to use vitest-midscene-e2e
- 1.Run `bash scripts/clone-boilerplate.sh` to fetch the canonical project structure and reference implementation
- 2.Review the Midscene Agent API section in the skill documentation, especially the mandatory rule to use `aiAct` for all user-described UI actions
- 3.Create or update test files in the `e2e/` directory using the boilerplate's patterns as reference
- 4.Use `ctx.agent.aiAct('natural language instruction')` to describe UI interactions and assertions
- 5.Run tests with `npm run test:e2e` (or your configured test command) and check troubleshooting.md if tests fail
Use cases
- Writing cross-platform E2E tests for web and mobile apps using natural-language instructions
- Converting an existing Vitest project to add Midscene AI-powered UI testing capabilities
- Debugging failing E2E tests by leveraging AI to understand and interact with complex UI states
- Testing multi-step user workflows (login, form submission, navigation) described in plain English
- Maintaining E2E tests that are resilient to UI layout changes since they use AI instead of brittle selectors
- QA engineers and test automation specialists
- Full-stack developers writing E2E tests for their applications
- Teams testing cross-platform applications (Web, Android, iOS)
- Projects seeking to reduce maintenance burden of selector-based test automation
vitest-midscene-e2e FAQ
`aiAct` is the primary API for all UI operations and state confirmations. Pass natural-language instructions directly to it (e.g., `await ctx.agent.aiAct('type "iPhone" in the search box, then click search')`). Do not decompose user instructions into fine-grained APIs like `aiTap` or `aiInput`.
Yes. If a task prompt spans multiple pages or covers many distinct stages, split it into separate `aiAct` calls—one per logical phase. Each phase should be self-contained and stay within one context to avoid losing AI focus.
Run `bash scripts/clone-boilerplate.sh` to fetch the reference boilerplate, then copy the relevant platform files (Web, Android, or iOS) into your project. Copy `.env.example` as `.env` and fill in required credentials. Ensure dependencies are installed before running tests.
Web (Playwright Chromium), Android (ADB + scrcpy), and iOS (WebDriverAgent). You can test on one or multiple platforms in the same project.
Check the troubleshooting.md file referenced in the skill documentation. Common issues include misconfigured `.env` variables, missing dependencies, or overly vague UI descriptions in `aiAct` calls. Ensure your natural-language instructions are specific (e.g., 'the blue Submit button at the top' instead of just 'button').
Full instructions (SKILL.md)
Source of truth, from web-infra-dev/midscene-skills.
name: vitest-midscene-e2e description: "Enhances Vitest with Midscene for AI-powered UI testing across Web (Playwright), Android (ADB), and iOS (WDA). Scaffolds new projects, converts existing projects, and creates/updates/debugs/runs E2E tests using natural-language UI interactions. Triggers: write test, add test, create test, update test, fix test, debug test, run test, e2e test, midscene test, new project, convert project, init project, 写测试, 加测试, 创建测试, 更新测试, 修复测试, 调试测试, 运行测试, 新建工程, 转化工程." user-invocable: true argument-hint: "[create|update|run|init] <feature-name>"
Vitest Midscene E2E
Modules
| Module | Role |
|---|---|
| Vitest | TypeScript test framework. Provides describe/it/expect/hooks for test organization, assertions, and lifecycle. |
| Midscene | AI-driven UI automation. Interacts with UI elements via natural language — no fragile selectors. Core API: aiAct. |
Supported platforms:
- Web —
WebTest(Playwright Chromium):ctx.agent+ctx.page - Android —
AndroidTest(ADB + scrcpy):ctx.agentonly - iOS —
IOSTest(WebDriverAgent):ctx.agentonly
Workflow
Step 1: Clone boilerplate & ensure project ready
bash scripts/clone-boilerplate.sh
The boilerplate at ~/.midscene/boilerplate/vitest-all-platforms-demo/ is the canonical reference for project structure, configs, platform context classes, and test conventions. Compare the current project against it. If anything is missing, ask the user which platform(s) they need (Web / Android / iOS), then fill in what's missing using the boilerplate as the target state. Only include files for the requested platform(s). Do NOT overwrite existing configs or files. Copy .env.example from the boilerplate as .env if it doesn't exist, and prompt the user to fill in the env vars.
Step 2: Read the Midscene Agent API section below before writing tests
It contains mandatory rules for using aiAct — the primary API for all UI operations. Do NOT skip this step.
Step 3: Create, update, or run tests
Use the boilerplate's e2e/ directory and src/context/ as reference for patterns and conventions. Before running tests, ensure dependencies are installed and .env is configured. When debugging failures, check troubleshooting.md.
Midscene Agent API
ctx.agent is a platform-specific agent instance. All methods return Promises.
- Web:
PlaywrightAgentfrom@midscene/web/playwright - Android:
AndroidAgentfrom@midscene/android - iOS:
IOSAgentfrom@midscene/ios
All three agents share the same AI methods below.
Mandatory Rule: Use aiAct for User-Described Steps
When the user describes a UI action or state confirmation in natural language, you MUST use
aiActto implement it. Do NOT decompose user instructions intoaiTap/aiInput/aiAssertor other fine-grained APIs. Pass the user's intent directly toaiActand let Midscene's AI handle the planning and execution.
// User says: "type iPhone in the search box and click search"
// WRONG — manually decomposing into fine-grained APIs
await ctx.agent.aiInput('search box', { value: 'iPhone' });
await ctx.agent.aiTap('search button');
// CORRECT — pass intent directly to aiAct
await ctx.agent.aiAct('type "iPhone" in the search box, then click the search button');
Assertions, data extraction, and waiting should also be done via aiAct — it handles all of these. Do NOT use aiAssert, aiQuery, aiWaitFor, aiTap, or aiInput separately.
aiAct(taskPrompt, opt?) — Primary API
aiAct is the primary API for all UI operations and state confirmations. It accepts natural language instructions and autonomously plans and executes multi-step interactions.
// UI operations
await ctx.agent.aiAct('type "iPhone" in the search box, then click the search button');
await ctx.agent.aiAct('hover over the user avatar in the top right');
// State confirmations / assertions — also use aiAct
await ctx.agent.aiAct('verify the page shows "Login successful"');
await ctx.agent.aiAct('verify the error message is visible');
Phase splitting: If the task prompt is too long or covers multiple distinct stages, split it into separate aiAct calls — one per phase. Each phase should be a self-contained logical step, and all phases combined must match the user's original intent.
// Incorrect — prompt spans multiple pages and too many steps, AI may lose context mid-way
await ctx.agent.aiAct('click the settings button in the top nav, go to settings page, find personal info and click into it, change email to "test@example.com", change phone to "13800000000", click save, wait for success');
// Correct — split by page/stage boundary, each phase stays within one logical context
await ctx.agent.aiAct('click the settings button in the top nav, go to settings page, find personal info and click into it');
await ctx.agent.aiAct('change email to "test@example.com", change phone to "13800000000", click save');
await ctx.agent.aiAct('verify the save success message appears');
aiActionis deprecated. UseaiActoraiinstead.
Common Mistakes
- Vague locators —
'button'is ambiguous; use'the blue "Submit" button at the top of the page' - Deprecated
aiAction— useaiActinstead - Ambiguous multi-element targets — specify row/position:
'the delete button in the first product row'
Agent Configuration — aiActionContext
aiActionContext is a system prompt string appended to all AI actions performed by the agent. Use it to define the AI's role and expertise.
// Set via agentOptions in setup()
const ctx = WebTest.setup('https://example.com', {
agentOptions: {
aiActionContext: 'You are a Web UI testing expert.',
},
});
Good examples:
'You are a Web UI testing expert.''You are an Android app testing expert who is familiar with Chinese UI.'
Bad examples:
'Click the login button.'— specific actions belong inaiAct(), notaiActionContext'The page is in Chinese.'— this is page description, not a system prompt
How to Look Up More
- In
node_modules/@midscene/web,node_modules/@midscene/android, andnode_modules/@midscene/ios, find the type definitions for the agent classes - If types are not enough, follow the source references in the
.d.tsfiles to read the implementation code innode_modules - Download https://midscenejs.com/llms.txt, then use
grepto search for the API or concept you need (the file is large, do not read it in full)
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