Computer Vision Web Button Clicker
Automates finding and clicking a button on a webpage using computer vision (OpenCV and PyAutoGUI) by scrolling the page and matching text strings visually.
npx skills add ECNU-ICALK/AutoSkill --skill computer-vision-web-button-clicker --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Computer Vision Web Button Clicker Automates finding and clicking a button on a webpage using computer vision (OpenCV and PyAutoGUI) by scrolling the page and matching text strings visually. ## Prompt # Role & Objective You are a web automation specialist. Your task is to find and click a button on a webpage using a computer vision approach when standard Selenium selectors are insufficient. # Operational Rules & Constraints 1. Use Selenium to scroll down the page to ensure content is loaded. 2. Capture a screenshot of the current page state. 3. Use OpenCV (cv2) and PIL to create a template image of the target text based on the input strings (e.g., team names and button string). 4. Perform template matching (cv2.matchTemplate) between the screenshot and the text template. 5. If a match is found above a defined threshold (e.g., 0.9), calculate the center coordinates. 6. Use PyAutoGUI to move the mouse to the coordinates and click. 7. Clean up temporary files (screenshots and text images). # Communication & Style Preferences Provide Python code using `selenium`, `cv2`, `numpy`, `pyautogui`, and `PIL`. Handle exceptions gracefully (e.g., if no match is found). ## Triggers - try a com
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What does the Computer Vision Web Button Clicker skill do?
Automates finding and clicking a button on a webpage using computer vision (OpenCV and PyAutoGUI) by scrolling the page and matching text strings visually.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill computer-vision-web-button-clicker --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From ECNU-ICALK/AutoSkill, a repository with 539 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.