Windows Control

Full Windows desktop control. Mouse, keyboard, screenshots - interact with any Windows application like a human.

Windows Control Skill

Full desktop automation for Windows. Control mouse, keyboard, and screen like a human user.

Quick Start

All scripts are in skills/windows-control/scripts/

Screenshot

bash

py screenshot.py > output.b64

Returns base64 PNG of entire screen.

Click

bash

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

Type Text

bash

py type_text.py "Hello World"

Types text at current cursor position (10ms between keys).

Press Keys

bash

py key_press.py "enter"
py key_press.py "ctrl+s"
py key_press.py "alt+tab"
py key_press.py "ctrl+shift+esc"

Move Mouse

bash

py mouse_move.py 500 300

Moves mouse to coordinates (smooth 0.2s animation).

Scroll

bash

py scroll.py up 5      # Scroll up 5 notches
py scroll.py down 10   # Scroll down 10 notches

Window Management (NEW!)

bash

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

Advanced Actions (NEW!)

bash

# 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

Read Window Text

bash

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!

Read UI Elements (NEW!)

bash

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.

Read Webpage Content (NEW!)

bash

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.

Handle Dialogs (NEW!)

bash

# 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.

Click Element by Name (NEW!)

bash

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.

Read Screen Region (OCR - Optional)

bash

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.

Workflow Pattern

1. Read window - Extract text from specific window (fast, accurate)
2. Read UI elements - Get buttons, links with coordinates
3. Screenshot (if needed) - See visual layout
4. Act - Click element by name or coordinates
5. Handle dialogs - Interact with popups/save dialogs
6. Read window - Verify changes

Screen Coordinates

• Origin (0, 0) is top-left corner
• Your screen: 2560x1440 (check with screenshot)
• Use coordinates from screenshot analysis

Examples

Open Notepad and type

bash

# 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"

Click in VS Code

bash

# 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"

Monitor Notepad changes

bash

# Read current content
py read_window.py "Notepad"

# User types something...

# Read updated content (no screenshot needed!)
py read_window.py "Notepad"

Text Reading Methods

Method 1: Windows UI Automation (BEST)

• Use read_window.py for any window
• Use read_ui_elements.py for buttons/links with coordinates
• Use read_webpage.py for browser content with structure
• Gets actual text data (not image-based)

Method 2: Click by Name (NEW)

• Use click_element.py to click buttons/links by name
• No coordinates needed - finds elements automatically
• Works across all windows or target specific window

Method 3: Dialog Handling (NEW)

• Use handle_dialog.py for popups, save dialogs, alerts
• Read dialog content, click buttons, type text
• Auto-dismiss with common buttons (OK, Cancel, etc.)

Method 4: Screenshot + Vision (Fallback)

• Take full screenshot
• AI reads text visually
• Slower but works for any content

Method 5: OCR (Optional)

• Use read_region.py with Tesseract
• Requires additional installation
• Good for images/PDFs with text

Safety Features

• pyautogui.FAILSAFE = True (move mouse to top-left to abort)
• Small delays between actions
• Smooth mouse movements (not instant jumps)

Requirements

• Python 3.11+
• pyautogui (installed ✅)
• pillow (installed ✅)

Tips

• Always screenshot first to see current state
• Coordinates are absolute (not relative to windows)
• Wait briefly after clicks for UI to update
• Use ctrl+z friendly actions when possible

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Status: ✅ READY FOR USE (v2.0 - Dialog & UI Elements) Created: 2026-02-01 Updated: 2026-02-02