# 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

# Standalone test
uv run --with PySide6 python .claude/skills/qt-testing/scripts/qt_capture.py

# 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")

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}")