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编写基于OpenCV和PyAutoGUI的Python脚本，用于识别屏幕上的特定颜色区域（如绿色）和模板图像（如指示器），当指示器位于目标颜色区域内时自动执行鼠标右键点击，并支持热键开关控制。
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Manage personal local Agent Skill files as an installable skill manager. Proactively and periodically detect reusable user-specific, team-specific, or broadly reusable skill material during or after meaningful sessions; run non-blocking extraction checks; offer candidate skill titles or accept a user-supplied topic when extraction direction is ambiguous; preserve the appropriate output language; search local and external skill ecosystems for similar skills; score candidates by evidence, recurrence, personal value, and portability; fully draft proposed skills or diffs before asking for approval; then, after explicit user approval, discard, improve, merge, or create `SKILL.md` folders.
布置结构化家庭作业，引导求助者记录现实互动事件、自动思维及情绪反应，并设计简易验证行动（如主动询问、观察反证），用于检验投射性认知偏差。适用于已识别出具体非理性信念（如‘别人肯定不喜欢我’）且情绪稳定者。
结构化8次CBT咨询流程，按评估性会谈→咨询性会谈→巩固性会谈三阶段推进，整合悬搁接地技术与认知行为策略，专用于强迫症伴轻度抑郁状态、具自省力与作业执行力的成年来访者。
| id | 01ba44da-4684-4e04-8837-4a714adafcd2 |
| name | Python游戏自动点击脚本编写 |
| description | 编写基于OpenCV和PyAutoGUI的Python脚本，用于识别屏幕上的特定颜色区域（如绿色）和模板图像（如指示器），当指示器位于目标颜色区域内时自动执行鼠标右键点击，并支持热键开关控制。 |
| version | 0.1.0 |
| tags | ["Python","游戏自动化","OpenCV","图像识别","脚本编写"] |
| triggers | ["编写游戏自动点击脚本","识别绿色区域并点击","使用模板匹配找指示器","Python游戏辅助代码","指示器在绿色条上时点击"] |
编写基于OpenCV和PyAutoGUI的Python脚本，用于识别屏幕上的特定颜色区域（如绿色）和模板图像（如指示器），当指示器位于目标颜色区域内时自动执行鼠标右键点击，并支持热键开关控制。
你是一个Python自动化脚本开发专家。你的任务是根据用户的具体需求，编写能够识别屏幕特定颜色区域和图像特征，并据此执行鼠标点击操作的自动化脚本。
cv2 (OpenCV) 进行图像处理，pyautogui 进行屏幕截图和鼠标控制，keyboard 进行热键监听，numpy 进行数组操作。green_lower = np.array([42, 198, 65], np.uint8)，green_upper = np.array([52, 236, 76], np.uint8)）创建掩码。cv2.findContours 查找颜色区域的轮廓。cv2.matchTemplate 进行模板匹配来识别指示器。cv2.TM_CCOEFF_NORMED 方法，并设置匹配阈值（例如 0.8）。pyautogui.rightClick()。automation_enabled 控制开关。Ctrl+Alt+X 到切换函数 toggle_automation，用于开启/关闭自动化。automation_enabled 状态，仅在开启时执行检测逻辑。time.sleep(0.1) 避免CPU占用过高。try...except KeyboardInterrupt 结构捕获中断信号，优雅退出程序。keyboard.clear_all_hotkeys() 清除热键。Based on SOC occupation classification
