Desktop Agent

Control desktop apps via mouse and keyboard, capture screenshots, teach AI tasks by demonstration, and automate workflows with saved reusable tasks.

Desktop AI Agent Skill

Use this skill when the user wants to:

• Control desktop applications
• Teach the AI to perform tasks
• Have the AI learn from demonstrations
• Automate desktop workflows

Commands

Take Screenshot

from desktop_agent import get_agent
agent = get_agent()
agent.capture_to_file("screenshot.png")

Get Mouse Position

agent = get_agent()
pos = agent.get_mouse_position()  # Returns (x, y)

Mouse Control

agent = get_agent()
agent.move_to(x, y)           # Move mouse
agent.click(x, y)             # Click
agent.double_click(x, y)      # Double click  
agent.right_click(x, y)      # Right click
agent.drag_to(x, y)           # Drag

Keyboard Control

agent = get_agent()
agent.type("Hello world")     # Type text
agent.press("enter")           # Press key
agent.hotkey("ctrl", "c")     # Ctrl+C

Teaching Mode

from desktop_agent import get_agent
from desktop_agent.teacher import TaskTeacher

agent = get_agent()
teacher = TaskTeacher(agent)

# Start teaching
teacher.start_teaching("my_task")

# Record actions
teacher.record_click()        # Records current mouse position
teacher.record_click(100, 200) # Records specific position
teacher.record_type("text")
teacher.record_press("enter")
teacher.record_hotkey("ctrl", "s")
teacher.record_wait(2)        # Wait 2 seconds

# Show steps
teacher.show_steps()

# Save or cancel
teacher.finish_teaching()
teacher.cancel_teaching()

Running Learned Tasks

agent = get_agent()
tasks = agent.list_tasks()    # List all tasks
agent.execute_task("task_name") # Run a task

Files

• desktop_agent/__init__.py - Core agent
• desktop_agent/teacher.py - Teaching system
• learned_tasks/ - Saved task definitions

Notes

• AI can see screen and control mouse/keyboard
• User can teach by demonstration
• Tasks are saved as JSON and reusable
• Use with caution - can control any application