According to AlphaMoat, as of 2026-09, 英语打卡(每日学习 每日练) has 3,349 downloads and 1 stars — ranked #3,369 of 5,078 AI skills overall, and #34 of 59 in Education.
| Platform | Installs | Downloads | Stars | Comments |
|---|---|---|---|---|
| ClawHub ↗ | 26 | 1.0K | - | - |
| SkillHub ↗ | 214 | 3.3K | 1 | — |
Platforms count differently and update at different times.
Based on learning-checkin, the skill supports different English study types and can generate a daily motivational quote in Chinese and English. It requires the dependency skill and its path to be configured; this description does not mean a check-in was recorded or learning outcomes are guaranteed.
Profile published 2026-10-27
Generated from the skill’s documentation as examples; not results of actual runs.
The counting method changed in 2026-09: skills with the same name are now counted separately by author, and the full catalog is covered. Dashed lines show months before the change; they are not compared with later months, and no growth is computed across the change.
| Month | Downloads | MoM | Stars |
|---|---|---|---|
| 2026-09 | 3.3K | — | 1 |
| 2026-08 | 2.4K | +169.9% | 1 |
| 2026-07 | 893 | -5.8% | - |
| 2026-06 | 948 | +26.1% | - |
| 2026-05 | 752 | — | - |
| 2026-03 | 367 | — | - |
The author’s original file, shown as plain text without edits or review by AlphaMoat. Links are not clickable; check commands before running them. Fetched 2026-10-23.
# English Learning Check-in Skill 每日英语学习打卡工具,基于 learning-checkin 实现,专为英语学习者设计。 ## 功能概述 1. **每日打卡** - 记录英语学习完成情况 2. **学习类型** - 支持托福、雅思、PET、新概念等多种英语学习类型 3. **名言激励** - 每日由 Agent 自动生成英语名言(中英对照),确保不重复
## 项目结构
```
english-learning-checkin/
├── SKILL.md - 本文档
├── english_checkin.py - 主程序
└── data/ - 数据目录(自动创建)
├── config.json - 用户配置
└── quotes_used.json - 已使用名言记录
```
## 安装说明
### 1. 安装本 Skill
将本 Skill 目录复制到你的 Skill 目录中。
### 2. 安装依赖
本 Skill 依赖 [learning-checkin](https://clawhub.ai/daizongyu/learning-checkin),需要先安装该 Skill。
### 3. 配置路径
由于不同工具的 Skill 目录位置不同,需要通过以下方式指定 learning-checkin 的路径:
**方式一:命令行参数**
```bash
python english_checkin.py --learning-checkin-path /path/to/learning_checkin.py checkin
```
**方式二:环境变量**
```bash
export LEARNING_CHECKIN_PATH=/path/to/learning_checkin.py
```
**方式三:放置在同一目录**
将 learning-checkin 目录放在本 Skill 同一目录下:
```
your-skill-dir/
├── english-learning-checkin/
│ └── english_checkin.py
└── learning-checkin/
└── learning_checkin.py
```
## 命令列表
| 命令 | 说明 |
|------|------|
| `python english_checkin.py init` | 初始化(首次使用) |
| `python english_checkin.py checkin [学习类型]` | 打卡(如:checkin 托福) |
| `python english_checkin.py status` | 查看状态 |
| `python english_checkin.py used-quotes` | 获取已使用名言列表 |
| `python english_checkin.py record-quote [名言]` | 记录已使用的名言 |
| `python english_checkin.py set-type [类型]` | 设置学习类型 |
| `python english_checkin.py check` | 检查依赖 |
## 使用说明
### 1. 首次使用(初始化)
```bash
python english_checkin.py --learning-checkin-path /path/to/learning_checkin.py init
```
### 2. 每日打卡
1. 获取已使用名言:
```bash
python english_checkin.py used-quotes
```
2. 生成今日名言(由 Agent 自动生成,确保不重复)
3. 执行打卡:
```bash
python english_checkin.py --learning-checkin-path /path/to/learning_checkin.py checkin 托福
```
4. 记录名言:
```bash
python english_checkin.py record-quote "Practice makes perfect"
```
### 3. 查看学习状态
```bash
python english_checkin.py --learning-checkin-path /path/to/learning_checkin.py status
```
## 版本
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Data month: 2026-09 · Downloads, stars and installs are aggregated monthly from public skill registries (ClawHub, SkillHub). See methodology.