Persistent browser and Electron interaction through `js_repl` for fast iterative UI debugging.
浏览器
webapp-testing
试用Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser l
它能做什么
Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.
技能文档
Web Application Testing
To test local web applications, write native Python Playwright scripts.
Helper Scripts Available:
scripts/with_server.py- Manages server lifecycle (supports multiple servers)
Always run scripts with --help first to see usage. DO NOT read the source until you try running the script first and find that a customized solution is abslutely necessary. These scripts can be very large and thus pollute your context window. They exist to be called directly as black-box scripts rather than ingested into your context window.
Decision Tree: Choosing Your Approach
User task → Is it static HTML?
├─ Yes → Read HTML file directly to identify selectors
│ ├─ Success → Write Playwright script using selectors
│ └─ Fails/Incomplete → Treat as dynamic (below)
│
└─ No (dynamic webapp) → Is the server already running?
├─ No → Run: python scripts/with_server.py --help
│ Then use the helper + write simplified Playwright script
│
└─ Yes → Reconnaissance-then-action:
1. Navigate and wait for networkidle
2. Take screenshot or inspect DOM
3. Identify selectors from rendered state
4. Execute actions with discovered selectors
Example: Using with_server.py
To start a server, run --help first, then use the helper:
Single server:
python scripts/with_server.py --server "npm run dev" --port 5173 -- python your_automation.py
Multiple servers (e.g., backend + frontend):
python scripts/with_server.py \
--server "cd backend && python server.py" --port 3000 \
--server "cd frontend && npm run dev" --port 5173 \
-- python your_automation.py
To create an automation script, include only Playwright logic (servers are managed automatically):
from playwright.sync_api import sync_playwright
with sync_playwright() as p:
browser = p.chromium.launch(headless=True) # Always launch chromium in headless mode
page = browser.new_page()
page.goto('http://localhost:5173') # Server already running and ready
page.wait_for_load_state('networkidle') # CRITICAL: Wait for JS to execute
# ... your automation logic
browser.close()
Reconnaissance-Then-Action Pattern
-
Inspect rendered DOM:
page.screenshot(path='/tmp/inspect.png', full_page=True) content = page.content() page.locator('button').all() -
Identify selectors from inspection results
-
Execute actions using discovered selectors
Common Pitfall
❌ Don't inspect the DOM before waiting for networkidle on dynamic apps
✅ Do wait for page.wait_for_load_state('networkidle') before inspection
Best Practices
- Use bundled scripts as black boxes - To accomplish a task, consider whether one of the scripts available in
scripts/can help. These scripts handle common, complex workflows reliably without cluttering the context window. Use--helpto see usage, then invoke directly. - Use
sync_playwright()for synchronous scripts - Always close the browser when done
- Use descriptive selectors:
text=,role=, CSS selectors, or IDs - Add appropriate waits:
page.wait_for_selector()orpage.wait_for_timeout()
Reference Files
- examples/ - Examples showing common patterns:
element_discovery.py- Discovering buttons, links, and inputs on a pagestatic_html_automation.py- Using file:// URLs for local HTMLconsole_logging.py- Capturing console logs during automation
相关技能
Use when the task requires automating a real browser from the terminal (navigation, form filling, snapshots, screenshots, data extraction, UI-flow debugging) via `playwright-cli` or the bundled wrappe
Anthropic 的更多技能
浏览全部技能用三阶段流程把零散的资料整理成读者真正能读懂的文档。
xlsx
官方创建、读取和修复带公式与格式的电子表格文件,完成后通过 recalc 校验。
通过“起草—评估—改写”循环,创建、打磨并基准测试智能体技能。
按照规划、实现、测试和评估四阶段,构建让大模型通过工具调用外部服务的 MCP 服务器。
docx
官方用一套脚本和 docx npm 库创建、读取、编辑并校验 Word .docx 与 .dotx 文件。
用 Python 和命令行工具读取、合并、拆分、生成和识别 PDF 文件。