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Prompts Playwright Local Webapp Testing Scripts

agent testing skill risk: low

Playwright Local Webapp Testing Scripts

Instructs the model to write native Python Playwright scripts for testing local web applications, following a decision tree that distinguishes static HTML from dynamic apps and usi…

  • External action: low

SKILL 6 files · 2 folders

SKILL.md
---
name: webapp-testing
description: "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."
---
# 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:**
```bash
python scripts/with_server.py --server "npm run dev" --port 5173 -- python your_automation.py
```

**Multiple servers (e.g., backend + frontend):**
```bash
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):
```python
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

1. **Inspect rendered DOM**:
   ```python
   page.screenshot(path='/tmp/inspect.png', full_page=True)
   content = page.content()
   page.locator('button').all()
   ```

2. **Identify selectors** from inspection results

3. **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 `--help` to 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()` or `page.wait_for_timeout()`

## Reference Files

- **examples/** - Examples showing common patterns:
  - `element_discovery.py` - Discovering buttons, links, and inputs on a page
  - `static_html_automation.py` - Using file:// URLs for local HTML
  - `console_logging.py` - Capturing console logs during automation

REQUIRED CONTEXT

  • user testing task for a local webapp

OPTIONAL CONTEXT

  • whether HTML is static
  • server running status

ROLES & RULES

  1. Always run scripts with `--help` first
  2. DO NOT read the source until you try running the script first and find that a customized solution is absolutely necessary
  3. Always launch chromium in headless mode
  4. Wait for `page.wait_for_load_state('networkidle')` before inspection on dynamic apps
  5. Use bundled scripts as black boxes
  6. Use `sync_playwright()` for synchronous scripts
  7. Always close the browser when done
  8. Use descriptive selectors
  9. Add appropriate waits

EXPECTED OUTPUT

Format
markdown
Constraints
  • follow decision tree
  • run helpers with --help first
  • write only Playwright logic in scripts
  • use networkidle waits

SUCCESS CRITERIA

  • Follow the decision tree for static vs dynamic apps
  • Run helper scripts via command line before reading source
  • Wait for networkidle before DOM inspection or actions on dynamic pages
  • Write only Playwright logic in automation scripts
  • Use reconnaissance-then-action pattern when server is already running

FAILURE MODES

  • Inspecting DOM before waiting for networkidle on dynamic apps
  • Reading large helper script sources unnecessarily
  • Failing to launch in headless mode

EXAMPLES

Includes bash examples for single/multiple servers with with_server.py, a full Playwright automation script example, reconnaissance code snippets, and descriptions of three reference files in examples/.

CAVEATS

Dependencies
  • Requires scripts/with_server.py
  • Requires examples/ folder with element_discovery.py, static_html_automation.py, console_logging.py

QUALITY

OVERALL
0.82
CLARITY
0.85
SPECIFICITY
0.90
REUSABILITY
0.70
COMPLETENESS
0.80

IMPROVEMENT SUGGESTIONS

  • Add a short note specifying the intended user (e.g., an LLM agent) to improve immediate clarity for new readers.

USAGE

Copy the prompt above and paste it into your AI of choice — Claude, ChatGPT, Gemini, or anywhere else you're working. Replace any placeholder sections with your own context, then ask for the output.

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