据 AlphaMoat 统计,截至 2026-10,Windows Control 累计下载 9,664 次、获 29 个星标,按累计下载量在本次参与排名的 10,914 个 AI 技能中排名第 2,838 位,在「其他」分类(88 个)中排名第 8 位。
列表默认按累计下载量排序,也可按星标排序;详情页排名按累计下载量计算。
| 平台 | 累计下载 | 星标 | 评论 |
|---|---|---|---|
| ClawHub ↗ | 9,664 | 29 | - |
各平台的计数口径不同,统计时间不一致。
它通过 skills/windows-control/scripts/ 下的 py 脚本工作:截图(返回 base64 PNG)、左右/双击、键入文本、组合键(如 ctrl+s、alt+tab)、滚动、移动鼠标、聚焦/最小化/最大化/关闭窗口,还支持按文本或名称点击元素(无需坐标)、拖放、等待文本或窗口出现、列出窗口、读取窗口文本(用 Windows UI Automation 提取真实文本,而非 OCR)、读取 UI 元素与网页内容、处理 Save/Open 等对话框。安全方面启用 pyautogui.FAILSAFE(鼠标移到左上角中止)、动作间小延迟与平滑移动。要求 Python 3.11+、pyautogui 与 pillow;OCR 为可选,需另装 Tesseract。
资料发布于 2026-10-27
以下是根据技能文档生成的示例,不代表实际运行结果。
2026-09 起统计方法调整:同名技能按作者分别统计,并覆盖全部技能。图中虚线为调整前的月份,与之后的数据不直接比较,也不计算跨越调整的增长。 该技能有同名的其他版本,调整前的数据归属当前下载量最大的这一个。
| 月份 | 累计下载 | 环比 | 星标 |
|---|---|---|---|
| 2026-10 | 9,664 | — | 29 |
| 2026-09 | 9,523 | — | 29 |
| 2026-08 | 9,440 | +0.8% | 29 |
| 2026-07 | 9,361 | — | 29 |
| 2026-05 | 8,649 | — | 32 |
以下是作者发布的原始文件,按纯文本显示,本站未做修改或审核;其中的链接不可点击,命令请核实后再运行。抓取于 2026-10-23。
--- name: windows-control description: 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 --- **Status:** ✅ READY FOR USE (v2.0 - Dialog & UI Elements) **Created:** 2026-02-01 **Updated:** 2026-02-02
识别并改写文本中 AI 生成痕迹的编辑技能。
通过 6551 接口查 Twitter/X 用户、推文与 meme 相关数据。
Evaluate and score Go code quality based on syntax, style, and best practices to provide constructive feedback and improvements.
聚合加密、股票与宏观的实时财经新闻,带影响评分。
把智能体从被动应答改成主动干活的技能。
claw-shell 在名为 claw 的 tmux 会话中运行 shell 命令,并将输出返回给代理。
为 CloudBase 应用开发、数据、认证与部署选择对应工作流。
OpenNews 描述通过 6551 服务查询金融新闻与证据。
数据月份:2026-10 · 下载/星标数聚合自公开技能注册库(ClawHub、SkillHub),按月更新。口径说明见数据方法。