Qt GUI Testing

SkillMedia

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.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Qt GUI Testing skill

What this skill tells your AI

The instructions your AI receives, as published by talmolab/sleap in .claude/skills/qt-testing/SKILL.md and read by ahel’s review.

Capture screenshots of Qt widgets for visual inspection without displaying windows on screen.

Quick Start

# 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:

# 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.):

# 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

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

Signals

GitHub stars
613
Forks
135
Last commit
Sep 2026

ahel review

  • K6low
    bundled executables the agent is told to run

Automated review, not a security audit. Ruleset v1+k2.

Advanced
Catalog kind
skill
Gateway key
qt-testing
Source
github.com/talmolab/sleap