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testdriver-ai

Execute natural language tasks using AI

DeepseekModel 官方收录技能 质量 优秀 · 78 v1.0.0

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下载 .skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用
.skill 文件中 system_prompt 字段的实际内容。
name testdriver:ai description Execute natural language tasks using AI 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 await testdriver. ai (task, options) Parameters Natural language description of what to do Execution options Whether to validate completion and retry if incomplete Returns Promise<string | void> - Final AI response if validateAndLoop is true Examples Basic Usage // 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 // 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 // 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 Use AI to explore unfamiliar applications: ```javascript await testdriver.ai('Explore the main navigation menu'); await testdriver.ai('Try to find the user profile settings'); ``` Let AI handle multi-step processes: ```javascript await testdriver.ai('Complete the multi-step registration form'); await testdriver.ai('Configure all the advanced settings to default values'); ``` When exact element locations aren't critical: ```javascript await testdriver.ai('Close any popup dialogs'); await testdriver.ai('Accept the cookie consent if it appears'); ``` Best Practices **Be specific but flexible**: Give enough context without over-constraining the AI // ✅ 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' ); **Use for exploration, not precision**: For critical assertions, use explicit methods // 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' ); **AI tasks may be slower**: The AI needs to analyze the screen and plan actions. For performance-critical tests, use explicit methods. 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 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 find() - Locate specific elements assert() - Make assertions extract() - Extract information
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下载的 .skill 包内含以下字段。
字段 说明
format格式标识(skill/v1)
skill_id技能唯一 ID
name技能名称
version版本号
description技能描述
category所属分类(数组)
trigger_words触发词列表
tags标签列表
source来源标识
source_url来源链接(本页地址)
exported_at导出时间(每次下载生成)
system_prompt系统提示词正文
model_config模型参数:provider / model / temperature / max_tokens / top_p
examples示例
install_guide各平台导入说明(Coze / Dify / Claude / 自定义框架)
同一份技能可按不同平台格式导出。
.skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用 下载
.skillpro 增强格式,额外含脚本 / 工具 / 依赖 / 钩子占位 下载
.json 纯 JSON 导出,只含 system_prompt 与模型参数 下载
Coze 带 frontmatter 的 Markdown,Coze 平台导入用 下载
Dify Dify DSL,创建应用后直接导入 下载

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