Install
openclaw skills install windows-controlFull Windows desktop control. Mouse, keyboard, screenshots - interact with any Windows application like a human.
openclaw skills install windows-controlFull desktop automation for Windows. Control mouse, keyboard, and screen like a human user.
All scripts are in skills/windows-control/scripts/
py screenshot.py > output.b64
Returns base64 PNG of entire screen.
py click.py 500 300 # Left click at (500, 300)
py click.py 500 300 right # Right click
py click.py 500 300 left 2 # Double click
py type_text.py "Hello World"
Types text at current cursor position (10ms between keys).
py key_press.py "enter"
py key_press.py "ctrl+s"
py key_press.py "alt+tab"
py key_press.py "ctrl+shift+esc"
py mouse_move.py 500 300
Moves mouse to coordinates (smooth 0.2s animation).
py scroll.py up 5 # Scroll up 5 notches
py scroll.py down 10 # Scroll down 10 notches
py focus_window.py "Chrome" # Bring window to front
py minimize_window.py "Notepad" # Minimize window
py maximize_window.py "VS Code" # Maximize window
py close_window.py "Calculator" # Close window
py get_active_window.py # Get title of active window
# Click by text (No coordinates needed!)
py click_text.py "Save" # Click "Save" button anywhere
py click_text.py "Submit" "Chrome" # Click "Submit" in Chrome only
# Drag and Drop
py drag.py 100 100 500 300 # Drag from (100,100) to (500,300)
# Robust Automation (Wait/Find)
py wait_for_text.py "Ready" "App" 30 # Wait up to 30s for text
py wait_for_window.py "Notepad" 10 # Wait for window to appear
py find_text.py "Login" "Chrome" # Get coordinates of text
py list_windows.py # List all open windows
py read_window.py "Notepad" # Read all text from Notepad
py read_window.py "Visual Studio" # Read text from VS Code
py read_window.py "Chrome" # Read text from browser
Uses Windows UI Automation to extract actual text (not OCR). Much faster and more accurate than screenshots!
py read_ui_elements.py "Chrome" # All interactive elements
py read_ui_elements.py "Chrome" --buttons-only # Just buttons
py read_ui_elements.py "Chrome" --links-only # Just links
py read_ui_elements.py "Chrome" --json # JSON output
Returns buttons, links, tabs, checkboxes, dropdowns with coordinates for clicking.
py read_webpage.py # Read active browser
py read_webpage.py "Chrome" # Target Chrome specifically
py read_webpage.py "Chrome" --buttons # Include buttons
py read_webpage.py "Chrome" --links # Include links with coords
py read_webpage.py "Chrome" --full # All elements (inputs, images)
py read_webpage.py "Chrome" --json # JSON output
Enhanced browser content extraction with headings, text, buttons, and links.
# List all open dialogs
py handle_dialog.py list
# Read current dialog content
py handle_dialog.py read
py handle_dialog.py read --json
# Click button in dialog
py handle_dialog.py click "OK"
py handle_dialog.py click "Save"
py handle_dialog.py click "Yes"
# Type into dialog text field
py handle_dialog.py type "myfile.txt"
py handle_dialog.py type "C:\path\to\file" --field 0
# Dismiss dialog (auto-finds OK/Close/Cancel)
py handle_dialog.py dismiss
# Wait for dialog to appear
py handle_dialog.py wait --timeout 10
py handle_dialog.py wait "Save As" --timeout 5
Handles Save/Open dialogs, message boxes, alerts, confirmations, etc.
py click_element.py "Save" # Click "Save" anywhere
py click_element.py "OK" --window "Notepad" # In specific window
py click_element.py "Submit" --type Button # Only buttons
py click_element.py "File" --type MenuItem # Menu items
py click_element.py --list # List clickable elements
py click_element.py --list --window "Chrome" # List in specific window
Click buttons, links, menu items by name without needing coordinates.
py read_region.py 100 100 500 300 # Read text from coordinates
Note: Requires Tesseract OCR installation. Use read_window.py instead for better results.
# Press Windows key
py key_press.py "win"
# Type "notepad"
py type_text.py "notepad"
# Press Enter
py key_press.py "enter"
# Wait a moment, then type
py type_text.py "Hello from AI!"
# Save
py key_press.py "ctrl+s"
# Read current VS Code content
py read_window.py "Visual Studio Code"
# Click at specific location (e.g., file explorer)
py click.py 50 100
# Type filename
py type_text.py "test.js"
# Press Enter
py key_press.py "enter"
# Verify new file opened
py read_window.py "Visual Studio Code"
# Read current content
py read_window.py "Notepad"
# User types something...
# Read updated content (no screenshot needed!)
py read_window.py "Notepad"
Method 1: Windows UI Automation (BEST)
read_window.py for any windowread_ui_elements.py for buttons/links with coordinatesread_webpage.py for browser content with structureMethod 2: Click by Name (NEW)
click_element.py to click buttons/links by nameMethod 3: Dialog Handling (NEW)
handle_dialog.py for popups, save dialogs, alertsMethod 4: Screenshot + Vision (Fallback)
Method 5: OCR (Optional)
read_region.py with Tesseractpyautogui.FAILSAFE = True (move mouse to top-left to abort)ctrl+z friendly actions when possibleStatus: ✅ READY FOR USE (v2.0 - Dialog & UI Elements) Created: 2026-02-01 Updated: 2026-02-02