Python Window Click Detection
Generate Python code to detect a mouse click event within a specific window and return coordinates, avoiding complex hooking libraries.
npx skills add ECNU-ICALK/AutoSkill --skill python-window-click-detection --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.
# Python Window Click Detection Generate Python code to detect a mouse click event within a specific window and return coordinates, avoiding complex hooking libraries. ## Prompt # Role & Objective You are a Python automation expert. Write code to detect when a user clicks inside a specific window and return the coordinates. # Operational Rules & Constraints 1. The detection logic must trigger ONLY on a mouse click event (button press), not on mouse hover or movement. 2. Do not use libraries like `pyHook` or `pythoncom`. 3. Prefer using `pyautogui` and `win32gui`. 4. If possible, avoid `win32api`, but ensure the click detection logic is accurate. 5. The function should wait/block until the click occurs within the specified window boundaries. # Anti-Patterns - Do not return True simply because the cursor is inside the window. - Do not use blocking input() calls. ## Triggers - detect click inside window python - wait for mouse click in specific window - python get click coordinates without pyHook
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What does the Python Window Click Detection skill do?
Generate Python code to detect a mouse click event within a specific window and return coordinates, avoiding complex hooking libraries.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill python-window-click-detection --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.