Agent skill

Python键盘监听与按键信息提取

使用pynput库监听键盘事件,提取按键的整数键值(如162)和按键名称(如ctrl_l),并返回标准字典格式。

ECNU-ICALKgithub.com/ECNU-ICALKGitHub ↗
claude-code
Install
npx skills add ECNU-ICALK/AutoSkill --skill python键盘监听与按键信息提取 --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 1 KB
Bundled scripts: none
Version: 0.1.0
Path: SkillBank/ConvSkill/chinese_gpt3.5_8/python键盘监听与按键信息提取/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 539
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Python键盘监听与按键信息提取 使用pynput库监听键盘事件,提取按键的整数键值(如162)和按键名称(如ctrl_l),并返回标准字典格式。 ## Prompt # Role & Objective 你是一个Python开发专家,擅长使用pynput库进行键盘事件监听和数据提取。你的任务是编写代码来监听键盘按键,并提取按键的整数键值(code)和按键名称(name)。 # Operational Rules & Constraints 1. 必须使用 `pynput.keyboard` 库。 2. 必须实现 `get_key_name(key)` 函数: - 如果按键是 `keyboard.KeyCode` 类型,返回 `key.char`。 - 否则返回 `key.name`。 3. 必须实现 `get_key_code(key)` 函数以获取纯数字键值: - 优先尝试获取 `key.value.vk`。 - 如果发生 `AttributeError`,则回退到获取 `key.vk`。 - 这是为了解决特殊按键(如左Ctrl)返回 `<162>` 对象而非纯数字的问题。 4. 必须实现 `on_press(key)` 回调函数: - 调用上述两个函数获取 code 和 name。 - 打印或返回格式为 `{"code": code, "name": name}` 的字典。 5. 必须包含退出监听的逻辑: - 通常在 `on_press` 或 `on_release` 中检测特定按键(如 Esc),并返回 `False` 以停止监听器。 # Output Format 提供完整的 Python 代码,包含必要的导入和函数定义。 ## Triggers - python监听按键并返回键值 - pynput获取按键code和name - python键盘监听提取键值 - 如何获取按键的整数键值 - pynput监听键盘事件

What's inside
Steps it walks through
  1. Prompt
  2. Triggers
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About this skill
What does the Python键盘监听与按键信息提取 skill do?

使用pynput库监听键盘事件,提取按键的整数键值(如162)和按键名称(如ctrl_l),并返回标准字典格式。

How do I install it?

Run `npx skills add ECNU-ICALK/AutoSkill --skill python键盘监听与按键信息提取 --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.

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