Testdriver:Ai logo

Testdriver:Ai

Organization
testdriverai
testdriver:ai

Execute natural language tasks using AI

Overview

Publishertestdriverai
Repositorytestdriverai
Skill nametestdriver:ai
Stars
465
Forks
39
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by testdriverai on GitHub. Read the source before you install it.

Installation

Install the Testdriver:Ai 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.
    https://github.com/testdriverai/testdriverai/tree/main/ai/skills/testdriver-ai
  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/testdriverai/testdriverai.git /tmp/testdriverai
mkdir -p .claude/skills
cp -r /tmp/testdriverai/ai/skills/testdriver-ai .claude/skills/testdriverai-testdriver-ai
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Testdriver:Ai 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 Testdriver:Ai 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 Testdriver:Ai 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.

Overview

The ai() method allows you to execute complex tasks using natural language descriptions. TestDriver's AI will figure out the steps needed to accomplish the task.

Syntax

javascript
await testdriver.ai(task, options)

Parameters

Returns

Promise<string | void> - Final AI response if validateAndLoop is true

Examples

Basic Usage

javascript
// Simple task execution
await testdriver.ai('Click the submit button');

// Complex multi-step task
await testdriver.ai('Fill out the contact form and submit it');

// Navigation task
await testdriver.ai('Go to the settings page and enable notifications');

With Validation

javascript
// AI will verify the task completed successfully
const result = await testdriver.ai('Complete the checkout process', { 
  validateAndLoop: true 
});

console.log('Task result:', result);

Multi-Step Workflows

javascript
// The AI will break down complex tasks
await testdriver.ai('Search for "laptop", add the first result to cart, and proceed to checkout');

// UI exploration
await testdriver.ai('Find and click all menu items to explore the application');

Use Cases

```javascript
await testdriver.ai('Explore the main navigation menu');
await testdriver.ai('Try to find the user profile settings');
```
```javascript
await testdriver.ai('Complete the multi-step registration form');
await testdriver.ai('Configure all the advanced settings to default values');
```
```javascript
await testdriver.ai('Close any popup dialogs');
await testdriver.ai('Accept the cookie consent if it appears');
```

Best Practices

javascript
// ✅ Good
await testdriver.ai('Add the first product to the shopping cart');

// ❌ Too vague
await testdriver.ai('do something');

// ❌ Too specific (defeats the purpose)
await testdriver.ai('click at coordinates 500, 300');
javascript
// Use AI for setup
await testdriver.ai('Navigate to the login page');

// Use explicit methods for critical steps
const usernameField = await testdriver.find('username input');
await usernameField.click();
await testdriver.type('testuser');

await testdriver.assert('login page is displayed');

When to Use AI vs Explicit Methods

Use ai() when:

  • Exploring unfamiliar applications
  • Handling optional UI elements (popups, cookies, etc.)
  • Prototyping tests quickly
  • Tasks where exact steps may vary

Use explicit methods when:

  • Performance is critical
  • You need precise control
  • Making assertions
  • Debugging test failures
  • Repetitive, predictable actions

Complete Example

javascript
import { beforeAll, afterAll, describe, it } from 'vitest';
import TestDriver from 'testdriverai';

describe('E-commerce Flow with AI', () => {
  let testdriver;

  beforeAll(async () => {
    client = new TestDriver(process.env.TD_API_KEY);
    await testdriver.auth();
    await testdriver.connect();
  });

  afterAll(async () => {
    await testdriver.disconnect();
  });

  it('should complete shopping flow using AI assistance', async () => {
    await testdriver.focusApplication('Google Chrome');
    
    // Use AI for navigation and exploration
    await testdriver.ai('Browse to the electronics section');
    await testdriver.ai('Find and add a laptop to the cart');
    
    // Use explicit methods for critical steps
    const cartIcon = await testdriver.find('shopping cart icon');
    await cartIcon.click();
    
    const total = await testdriver.extract('the cart total amount');
    console.log('Cart total:', total);
    
    // Use AI for checkout flow
    await testdriver.ai('Proceed to checkout and fill in shipping details', {
      validateAndLoop: true
    });
    
    // Explicit assertion
    await testdriver.assert('order confirmation page is displayed');
  });
});

Related Methods

Frequently asked questions

What does the Testdriver:Ai AI skill do?

Execute natural language tasks using AI

Why use Testdriver:Ai on TypingMind?

Because you install it once and use it with any model. Testdriver:Ai 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 Testdriver:Ai in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/testdriverai/testdriverai/tree/main/ai/skills/testdriver-ai. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Testdriver:Ai?

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 Testdriver:Ai?

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

Is the Testdriver:Ai AI skill free?

It is published on GitHub by testdriverai. Check the repository for licensing terms. 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇