Capture and visually inspect Qt GUI widgets using screenshots. Use when asked to verify GUI rendering, test widget appearance, check layouts, or visually inspect any PySide6/Qt component. Enables Claude to "see" Qt interfaces by capturing offscreen screenshots and analyzing them with vision.
Content & Writing
557 Stars
124 Forks
Updated Dec 22, 2025, 08:15 AM
Why Use This
This skill provides specialized capabilities for talmolab's codebase.
Use Cases
Developing new features in the talmolab repository
Refactoring existing code to follow talmolab standards
Understanding and working with talmolab's codebase structure
---
name: qt-testing
description: Capture and visually inspect Qt GUI widgets using screenshots. Use when asked to verify GUI rendering, test widget appearance, check layouts, or visually inspect any PySide6/Qt component. Enables Claude to "see" Qt interfaces by capturing offscreen screenshots and analyzing them with vision.
---
# Qt GUI Testing
Capture screenshots of Qt widgets for visual inspection without displaying windows on screen.
## Quick Start
```python
# Capture any widget
from scripts.qt_capture import capture_widget
path = capture_widget(my_widget, "description_here")
# Then read the screenshot with the Read tool
```
## Core Script
Run `scripts/qt_capture.py` or import `capture_widget` from it:
```bash
# Standalone test
uv run --with PySide6 python .claude/skills/qt-testing/scripts/qt_capture.py
```
## Output Location
All screenshots save to: `scratch/.qt-screenshots/`
Naming: `{YYYY-MM-DD.HH-MM-SS}_{description}.png`
## Workflow
1. Create/obtain the widget to test
2. Call `capture_widget(widget, "description")`
3. Read the saved screenshot with the Read tool
4. Analyze with vision to verify correctness
## Interaction Pattern
To interact with widgets (click buttons, etc.):
```python
# Find widget at coordinates (from vision analysis)
target = widget.childAt(x, y)
# Trigger it directly (not mouse events)
if hasattr(target, 'click'):
target.click()
QApplication.processEvents()
# Capture result
capture_widget(widget, "after_click")
```
## Example: Test a Dialog
```python
import sys
from PySide6.QtWidgets import QApplication
from sleap.gui.learning.dialog import TrainingEditorDialog
# Add skill scripts to path
sys.path.insert(0, ".claude/skills/qt-testing")
from scripts.qt_capture import capture_widget, init_qt
app = init_qt()
dialog = TrainingEditorDialog()
path = capture_widget(dialog, "training_dialog")
dialog.close()
print(f"Inspect: {path}")
```
## Key Points
- Uses `Qt.WA_DontShowOnScreen` - no window popup
- Renders identically to on-screen display (verified)
- Call `processEvents()` after interactions before capture
- Use `childAt(x, y)` to map vision coordinates to widgets
- Direct method calls (`.click()`) work; simulated mouse events don't