---

name: windows-skills description: Windows desktop automation skills - screenshot capture, OCR text extraction, and image-based UI element location. Use when: (1) capturing screen content (2) extracting text from images (3) locating UI elements for automation

Windows Desktop Automation

Quick Start

Dependencies

pip install mss pytesseract pillow pyautogui opencv-python numpy

Note: OCR requires Tesseract OCR installed

Core Features

1. Screenshot

from scripts.screenshot import capture_screen, capture_region, capture_window

# Full screen
capture_screen("output.png")

# Region (x, y, width, height)
capture_region(0, 0, 800, 600, "region.png")

# Window by title
capture_window("Notepad", "notepad.png")

2. OCR (Text Recognition)

from scripts.ocr import extract_text

# Extract text from image
text = extract_text("screenshot.png")
print(text)

# Specify language (chi_sim=Chinese, eng=English)
text = extract_text("screenshot.png", lang="chi_sim+eng")

3. Image Location

from scripts.image_locate import locate_on_screen, locate_all

# Find image position (returns center coordinates)
pos = locate_on_screen("button.png")
if pos:
    x, y, confidence = pos
    pyautogui.click(x, y)  # Click the found element

# Find all matches
positions = locate_all("icon.png")

Scripts

Script	Description
screenshot.py	Screenshot capture
ocr.py	Text recognition
image_locate.py	Image-based element location
helpers.py	Common utilities

Notes

• Image location is sensitive to image similarity; keep screenshots consistent
• OCR quality depends on image quality and text clarity
• Tesseract path needs to be in system PATH or specified in code

---

Windows 桌面自动化

快速开始

依赖安装

pip install mss pytesseract pillow pyautogui opencv-python numpy

注意：OCR 需要安装 Tesseract OCR

核心功能

1. 截图

from scripts.screenshot import capture_screen, capture_region, capture_window

# 全屏截图
capture_screen("output.png")

# 区域截图 (x, y, width, height)
capture_region(0, 0, 800, 600, "region.png")

# 窗口截图
capture_window("Notepad", "notepad.png")

2. 文字识别 (OCR)

from scripts.ocr import extract_text

# 从图片提取文字
text = extract_text("screenshot.png")
print(text)

# 指定语言 (chi_sim = 简体中文, eng = 英文)
text = extract_text("screenshot.png", lang="chi_sim+eng")

3. 图像定位

from scripts.image_locate import locate_on_screen, locate_all

# 查找图片位置 (返回中心坐标)
pos = locate_on_screen("button.png")
if pos:
    x, y, conf = pos
    pyautogui.click(x, y)  # 点击找到的元素

# 查找所有匹配位置
positions = locate_all("icon.png")

脚本说明

脚本	功能
screenshot.py	截图功能
ocr.py	文字识别
image_locate.py	图像定位
helpers.py	公共工具

注意事项

• 图像定位对图片相似度敏感，建议截图时保持一致
• OCR 效果取决于图片质量和文字清晰度
• Tesseract 路径需要添加到系统 PATH 或在代码中指定