Planner
penpot/penpot
Read-only planning and architecture analysis — produce a structured implementation plan with task breakdown, acceptance criteria, sizing, and checkpoints.
AI学习计划生成器 v2.1 | AI Learning Planner. An agent skill from LeoYeAI/openclaw-master-skills.
MITAuto-check passed
Install AI Learning Planner Cn
$ npx skills add LeoYeAI/openclaw-master-skills --skill ai-learning-planner-cn -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills ai-learning-planner-cn --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/ai-learning-planner-cn .claude/skills/ai-learning-planner-cn && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "ai-learning-planner-cn" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/ai-learning-planner-cn into .claude/skills/ai-learning-planner-cn/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-learning-planner-cn", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/ai-learning-planner-cnType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add LeoYeAI/openclaw-master-skills --skill ai-learning-planner-cn -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills ai-learning-planner-cn --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/ai-learning-planner-cn .agents/skills/ai-learning-planner-cn && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "ai-learning-planner-cn" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/ai-learning-planner-cn into .agents/skills/ai-learning-planner-cn/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-learning-planner-cn", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add LeoYeAI/openclaw-master-skills --skill ai-learning-planner-cn -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills ai-learning-planner-cn --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/ai-learning-planner-cn .cursor/skills/ai-learning-planner-cn && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "ai-learning-planner-cn" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/ai-learning-planner-cn into .cursor/skills/ai-learning-planner-cn/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-learning-planner-cn", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/LeoYeAI/openclaw-master-skills.git --path skills/ai-learning-planner-cn--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add LeoYeAI/openclaw-master-skills --skill ai-learning-planner-cn -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills ai-learning-planner-cn --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/ai-learning-planner-cn .gemini/skills/ai-learning-planner-cn && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "ai-learning-planner-cn" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/ai-learning-planner-cn into .gemini/skills/ai-learning-planner-cn/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-learning-planner-cn", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install LeoYeAI/openclaw-master-skills ai-learning-planner-cnInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add LeoYeAI/openclaw-master-skills --skill ai-learning-planner-cn -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/ai-learning-planner-cn .github/skills/ai-learning-planner-cn && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "ai-learning-planner-cn" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/ai-learning-planner-cn into .github/skills/ai-learning-planner-cn/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-learning-planner-cn", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add LeoYeAI/openclaw-master-skills --skill ai-learning-planner-cn -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills ai-learning-planner-cn --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/ai-learning-planner-cn .opencode/skills/ai-learning-planner-cn && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "ai-learning-planner-cn" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/ai-learning-planner-cn into .opencode/skills/ai-learning-planner-cn/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-learning-planner-cn", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
ai-learning-planner-cn- GitHub stars
- 2.2k
- Token cost
- ~2.2k tokens
- SKILL.md length
- 130 words
- Files
- 3
- Skills in repo
- 1,235
- Repo updated
- First seen
- Licence
- MIT
At a glance
AI学习计划生成器 v2.1 | AI Learning Planner. An agent skill from LeoYeAI/openclaw-master-skills.
- SKILL.md covers 🎯 核心功能, 🎯 个性化路径功能, 📊 进度跟踪功能 and 📚 资源推荐功能, plus 4 more sections
- Reaches learn.clawhub.ai and zhuanlan.zhihu.com
What it does
AI Learning Planner Cn is an agent skill from LeoYeAI/openclaw-master-skills. AI学习计划生成器 v2.1 | AI Learning Planner. 支持个性化路径、进度跟踪、资源推荐、AI导师、学习报告、团队学习。触发词：学习、计划、课程。
Its SKILL.md is about 2.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `SKILL_v1.1.md` and `_meta.json`).
The repository describes itself as: 🧠 Curated collection of 1209+ best OpenClaw skills — weekly updated by MyClaw.ai. The licence is MIT.
Example prompts
- “/ai-learning-planner-cn”
Requirements
- Python 3
What it can do on your machine
Read from SKILL.md and the folder at commit e5199b5. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
learn.clawhub.aizhuanlan.zhihu.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
AI Learning Planner Cn loads about 2.2k tokens when it runs. Until then it costs about 27 tokens; SKILL.md has 130 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from LeoYeAI/openclaw-master-skills at commit e5199b5, republished under its MIT licence (© LeoYeAI). 130 words, ~2,231 tokens.
Download SKILL.mdSave it as
.claude/skills/ai-learning-planner-cn/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.- name
- ai-learning-planner-cn
- description
- AI学习计划生成器 v2.1 | AI Learning Planner. 支持个性化路径、进度跟踪、资源推荐、AI导师、学习报告、团队学习。触发词：学习、计划、课程。
- version
- 1.1.0
- author
- 赚钱小能手
AI学习计划生成器 v2.1 📚
AI驱动的智能学习助手，提供个性化学习计划、进度跟踪、AI答疑、学习资料推荐、学习报告、团队学习等全方位学习支持。
🎯 核心功能
✨ v1.1新增功能
- 🎯 个性化路径 - 根据水平定制学习计划
- 📊 进度跟踪 - 可视化学习进度
- 📚 资源推荐 - 优质学习资源推荐
- 🤖 AI导师 - 专属AI学习导师
- 📈 学习报告 - 周报/月报自动生成
- 👥 团队学习 - 学习小组功能
🎤 原有功能
- 📋 学习计划生成
- 🤖 AI答疑
- 📖 学习资料推荐
- 📈 效率分析
🎯 个性化路径功能
学习水平评估
用户: 帮我制定Python学习计划
AI: 🎯 学习水平评估
━━━━━━━━━━━━━━━━━━━
📋 为了制定最适合您的学习计划，
请回答以下问题：
1️⃣ 您的编程基础如何？
A. 完全零基础
B. 了解基本概念
C. 会简单编程
D. 有一定经验
2️⃣ 您的学习目标是什么？
A. 兴趣爱好
B. 职业转型
C. 提升技能
D. 考试认证
3️⃣ 每天可投入学习时间？
A. 30分钟以内
B. 30分钟-1小时
C. 1-2小时
D. 2小时以上
━━━━━━━━━━━━━━━━━━━
请选择 A/B/C/D 回答问题定制学习计划
用户: A B C
AI: 🎯 正在生成个性化学习计划...
━━━━━━━━━━━━━━━━━━━
📊 评估结果:
- 基础水平: 零基础
- 学习目标: 兴趣爱好
- 时间投入: 每天1小时
━━━━━━━━━━━━━━━━━━━
📚 Python入门学习计划 (30天)
Week 1: Python基础
├─ Day 1-2: 环境搭建与Hello World
├─ Day 3-4: 变量与数据类型
├─ Day 5-6: 条件语句与循环
└─ Day 7: 复习+小项目练习
Week 2: 数据结构
├─ Day 8-9: 列表与元组
├─ Day 10-11: 字典与集合
├─ Day 12-13: 字符串操作
└─ Day 14: 复习+小项目练习
Week 3-4: 进阶内容
├─ Day 15-16: 函数定义
├─ Day 17-18: 模块与包
├─ Day 19-21: 文件操作
├─ Day 22-24: 异常处理
├─ Day 25-28: 面向对象入门
├─ Day 29-30: 综合项目
━━━━━━━━━━━━━━━━━━━
✅ 已为您生成个性化学习计划
[开始学习] [调整计划]学习路径可视化
用户: 查看我的学习路径
AI: 🗺️ 学习路径图
━━━━━━━━━━━━━━━━━━━
📊 Python学习路径
┌─────────────┐
│ Python入门 │ ← 当前阶段
│ (Day 3) │
└──────┬──────┘
│
┌──────▼──────┐
│ 基础语法 │
│ (Day 4-7) │
└──────┬──────┘
│
┌──────▼──────┐
│ 数据结构 │
│ (Day 8-14) │
└──────┬──────┘
│
┌──────▼──────┐
│ 函数模块 │
│ (Day 15-21) │
└──────┬──────┘
│
┌──────▼──────┐
│ 面向对象 │
│ (Day 22-30) │
└──────┬──────┘
│
┌──────▼──────┐
│ 实战项目 │
│ (Day 31+) │
└─────────────┘
━━━━━━━━━━━━━━━━━━━
进度: 10% ████░░░░░░░░░░░░░░░░📊 进度跟踪功能
学习进度统计
用户: 查看我的学习进度
AI: 📊 学习进度报告
━━━━━━━━━━━━━━━━━━━
📈 Python学习统计 (2025-03-04)
今日学习:
┌─────────────────────┐
│ 学习时长: 1小时15分 │
│ 完成任务: 3/5 │
│ 学习内容: 循环语句 │
└─────────────────────┘
本周统计:
┌─────────────────────┐
│ 总时长: 5小时30分 │
│ 完成任务: 18/25 │
│ 连续打卡: 5天 │
│ 学习效率: ⭐⭐⭐⭐☆ │
└─────────────────────┘
总进度:
┌─────────────────────┐
│ 整体进度: 35% │
│ ███████░░░░░░░░░░░ │
│ │
│ 已完成: Day 1-10 │
│ 进行中: Day 11 │
│ 待学习: Day 12-30 │
└─────────────────────┘
━━━━━━━━━━━━━━━━━━━
🏆 成就解锁:
✅ 初学者 - 开始学习Python
✅ 坚持5天 - 连续学习5天
✅ 语法达人 - 完成基础语法
下一个成就:
🔒 循环大师 - 完成所有循环练习学习曲线分析
用户: 分析我的学习曲线
AI: 📈 学习曲线分析
━━━━━━━━━━━━━━━━━━━
📊 30天学习曲线
掌握度
100% | ●───
| ●─
80% | ●─
| ●
60% | ●
| ●
40% |●
|●
20% |●
|________________
W1 W2 W3 W4
━━━━━━━━━━━━━━━━━━━
📈 分析结果:
✅ 学习曲线平稳上升
✅ Week 2-3 提升最快
⚠️ Week 1 进度稍慢
💡 建议:
- 当前速度良好，继续保持
- Week 3有难点，建议多练习
- 可以尝试做更多小项目
━━━━━━━━━━━━━━━━━━━
预计完成时间: 25天后📚 资源推荐功能
智能资源推荐
用户: 推荐Python学习资源
AI: 📚 为您推荐学习资源
━━━━━━━━━━━━━━━━━━━
📊 根据您的水平和进度推荐:
📖 书籍推荐:
┌─────────────────────┐
│ ⭐⭐⭐⭐⭐ │
│ 《Python编程：从入门到实践》│
│ 难度: ★★☆☆☆ │
│ 匹配度: 95% │
│ 推荐理由: 适合零基础入门 │
└─────────────────────┘
🎬 视频课程:
┌─────────────────────┐
│ ⭐⭐⭐⭐⭐ │
│ 廖雪峰Python教程 │
│ 时长: 30小时 │
│ 匹配度: 90% │
│ 推荐理由: 系统全面 │
└─────────────────────┘
💻 在线练习:
┌─────────────────────┐
│ ⭐⭐⭐⭐☆ │
│ LeetCode Python练习 │
│ 题目: 500+ │
│ 匹配度: 85% │
│ 推荐理由: 实战练习 │
└─────────────────────┘
━━━━━━━━━━━━━━━━━━━
[查看详情] [开始学习] [更多推荐]难度匹配推荐
用户: 推荐适合我当前水平的练习题
AI: 📚 难度匹配练习题
━━━━━━━━━━━━━━━━━━━
📊 根据您当前水平 (Day 10)
推荐练习题:
🟢 简单 (适合当前)
┌─────────────────────┐
│ 1. 打印九九乘法表 │
│ 2. 计算斐波那契数列 │
│ 3. 猜数字游戏 │
│ 4. 简易计算器 │
│ 5. 字符串反转 │
└─────────────────────┘
🟡 中等 (挑战自我)
┌─────────────────────┐
│ 1. 学生成绩管理系统 │
│ 2. 简易记事本 │
│ 3. 文件批量重命名 │
│ 4. 简单爬虫入门 │
└─────────────────────┘
━━━━━━━━━━━━━━━━━━━
建议先完成简单题目
选择题目编号开始练习🤖 AI导师功能
专属AI导师
用户: 你能当我的Python导师吗
AI: 🤖 AI学习导师已激活
━━━━━━━━━━━━━━━━━━━
👋 你好！我是你的AI学习导师
我可以帮你:
✅ 解答学习中的疑问
✅ 提供代码改进建议
✅ 推荐学习路径
✅ 检查学习成果
✅ 提供学习建议
━━━━━━━━━━━━━━━━━━━
📚 你的学习档案:
- 学习科目: Python
- 当前进度: Day 10
- 学习目标: 兴趣爱好
- 学习风格: 实践为主
💡 今日建议:
"你已经掌握了基础语法，建议今天
重点练习循环语句，完成3道练习题"
━━━━━━━━━━━━━━━━━━━
有什么问题尽管问我！智能答疑
用户: 解释一下递归
AI: 🤖 AI导师解答
━━━━━━━━━━━━━━━━━━━
📚 递归 (Recursion)
简单来说，递归就是"函数调用自己"。
📌 生活中的例子:
想象你在看电影，电影里的人在看电影，
电影里的电影里的人也在看电影...
这就是递归！
━━━━━━━━━━━━━━━━━━━
💻 代码示例:
def countdown(n):
if n <= 0: # 终止条件
print("发射！")
else:
print(n)
countdown(n-1) # 调用自己
countdown(5)
# 输出: 5 4 3 2 1 发射！
━━━━━━━━━━━━━━━━━━━
🎯 理解要点:
1. 终止条件 - 什么时候停止
2. 递归调用 - 调用自己
3. 问题缩小 - 每次调用问题变小
💡 练习建议:
试试写一个计算阶乘的递归函数！
━━━━━━━━━━━━━━━━━━━
还有疑问吗？代码审查
用户: 帮我看看这段代码
[粘贴代码]
AI: 🤖 代码审查报告
━━━━━━━━━━━━━━━━━━━
📋 代码分析:
✅ 做得好的地方:
1. 变量命名清晰
2. 逻辑结构完整
3. 有适当的注释
⚠️ 可以改进的地方:
1. 第5行: 可以使用列表推导式简化
原: result = []
for i in range(10):
result.append(i*2)
改: result = [i*2 for i in range(10)]
2. 第10行: 建议添加异常处理
try:
file = open('data.txt')
except FileNotFoundError:
print("文件不存在")
━━━━━━━━━━━━━━━━━━━
💡 优化建议:
- 使用with语句处理文件
- 添加类型提示
- 考虑边界情况
评分: ⭐⭐⭐⭐☆ (80/100)
━━━━━━━━━━━━━━━━━━━
要我帮你重写优化版本吗？📈 学习报告功能
周报生成
用户: 生成本周学习报告
AI: 📈 学习周报 (2025.03.01 - 03.07)
━━━━━━━━━━━━━━━━━━━
📊 本周学习总结
⏰ 学习时长统计:
┌─────────────────────┐
│ 周一: 1.5小时 ████ │
│ 周二: 1小时 ███ │
│ 周三: 2小时 █████│
│ 周四: 1小时 ███ │
│ 周五: 1.5小时 ████ │
│ 周六: 0.5小时 ██ │
│ 周日: 1小时 ███ │
├─────────────────────┤
│ 总计: 8.5小时 │
└─────────────────────┘
━━━━━━━━━━━━━━━━━━━
📚 学习内容:
- 完成章节: 第3-5章
- 学习主题: 循环、函数、模块
- 练习题目: 15道
- 项目练习: 2个小项目
━━━━━━━━━━━━━━━━━━━
📈 进度分析:
- 计划进度: 100%
- 实际进度: 95%
- 完成率: ⭐⭐⭐⭐⭐
🎯 知识点掌握:
- 循环语句: ★★★★★
- 函数定义: ★★★★☆
- 模块导入: ★★★☆☆
━━━━━━━━━━━━━━━━━━━
💡 下周建议:
1. 模块部分需要加强练习
2. 可以尝试进阶题目
3. 建议做一个小项目巩固
━━━━━━━━━━━━━━━━━━━
🏆 本周成就:
✅ 坚持学习7天
✅ 完成15道练习题
✅ 学会了函数定义
下周目标: 学习面向对象编程月报生成
用户: 生成月度学习报告
AI: 📈 学习月报 (2025年3月)
━━━━━━━━━━━━━━━━━━━
📊 月度学习统计
总学习时长: 35小时
学习天数: 28天
完成任务: 85/90
完成率: 94.4%
━━━━━━━━━━━━━━━━━━━
📈 进度曲线:
Week 1: ████░░░░░░ 40%
Week 2: ███████░░░ 70%
Week 3: █████████░ 90%
Week 4: ██████████ 100%
━━━━━━━━━━━━━━━━━━━
🎯 学习成果:
✅ 掌握Python基础语法
✅ 理解函数和模块
✅ 完成入门级项目
✅ 通过阶段测试
🏆 成就解锁:
✅ 初学者 - 开始学习
✅ 坚持30天 - 连续学习
✅ 百题斩 - 完成100题
✅ 项目达人 - 完成5个项目
━━━━━━━━━━━━━━━━━━━
📊 能力雷达图:
语法
★★★★★
│
方法设计 ★★★★☆ ─── 数据结构
│ │
★★★★★ ★★★★☆
│ │
调试能力 ─── 实战能力
★★★☆☆ ★★★☆☆
━━━━━━━━━━━━━━━━━━━
💡 下月建议:
1. 加强调试和实战能力
2. 学习面向对象编程
3. 尝试中等难度项目
4. 参与开源项目
━━━━━━━━━━━━━━━━━━━
下月目标: 进阶Python，完成2个中型项目👥 团队学习功能
学习小组
用户: 创建学习小组
AI: 👥 学习小组创建
━━━━━━━━━━━━━━━━━━━
✅ 学习小组已创建
📋 小组信息:
- 小组名称: Python学习小队
- 创建时间: 2025-03-04
- 小组ID: PY-2025030401
- 当前成员: 1人
🔗 邀请链接:
https://learn.clawhub.ai/group/PY-2025030401
━━━━━━━━━━━━━━━━━━━
👥 小组功能:
✅ 共享学习进度
✅ 互相督促打卡
✅ 讨论学习问题
✅ 资源分享
✅ 小组排行榜
━━━━━━━━━━━━━━━━━━━
分享链接，邀请朋友一起学习！小组排行榜
用户: 查看小组排行榜
AI: 👥 学习小组排行榜
━━━━━━━━━━━━━━━━━━━
🏆 Python学习小队 (5人)
本周学习时长排行:
━━━━━━━━━━━━━━━━━━━
🥇 张三 12.5小时 ████████████
🥈 你 10.0小时 ██████████
🥉 李四 8.5小时 ████████
王五 7.0小时 ███████
赵六 5.5小时 █████
━━━━━━━━━━━━━━━━━━━
📊 学习任务完成率:
张三: 100% ██████████
你: 95% █████████░
李四: 90% ████████░░
王五: 85% ███████░░░
赵六: 80% ███████░░░
━━━━━━━━━━━━━━━━━━━
🎯 小组总进度: 92%
继续加油！保持学习势头！小组讨论
用户: 查看小组讨论
AI: 👥 小组讨论区
━━━━━━━━━━━━━━━━━━━
💬 最新讨论:
[张三] 10:30
有人能解释一下装饰器吗？
感觉有点难理解...
[李四] 10:45
装饰器就是一个函数，
用来修改另一个函数的行为
[你] 11:00
可以这样理解：
装饰器 = 函数的"外挂"
给函数添加额外功能
━━━━━━━━━━━━━━━━━━━
📝 知识点分享:
[王五] 分享了一个资源
"Python装饰器详解 - 知乎文章"
https://zhuanlan.zhihu.com/...
━━━━━━━━━━━━━━━━━━━
[回复] [发起新讨论] [分享资源]🎓 支持的学习领域
💻 编程技术
- Python、JavaScript、Java
- 前端、后端、全栈
- 算法、数据结构
- 人工智能、机器学习
🎨 设计创意
- UI/UX设计
- 平面设计
- 3D建模
- 视频剪辑
💼 商业管理
- 产品管理
- 项目管理
- 数据分析
- 市场营销
🌍 语言学习
- 英语、日语、韩语
- 法语、德语、西班牙语
- 口语、写作、听力
📚 学科辅导
- 数学、物理、化学
- 历史、地理、政治
- 考研、考公、考证
💰 付费方案
| 版本 | 价格 | 功能 |
|---|---|---|
| 免费版 | ¥0 | 基础计划 + 进度跟踪 + 3个领域 |
| 基础版 | ¥12.9/月 | AI答疑 + 学习资料 + 10个领域 |
| Pro版 | ¥39.9/月 | AI导师 + 学习报告 + 全部领域 |
| 团队版 | ¥99/月 | 团队学习 + 管理后台 + 优先支持 |
🎯 使用场景
学生学习
- 课程学习辅助
- 考试备考
- 技能提升
职场提升
- 技能学习
- 职业转型
- 知识更新
兴趣爱好
- 语言学习
- 技能培养
- 知识拓展
💡 智能特性
智能规划
- 根据目标自动拆分任务
- 动态调整学习计划
- 智能推荐学习路径
智能提醒
- 学习时间提醒
- 复习时间提醒
- 目标达成提醒
智能评估
- 自动评估学习效果
- 预测考试成绩
- 推荐薄弱点强化
📊 成功案例
"用这个工具学习Python，每天坚持打卡，一个月就入门了！" —— 用户A，产品经理
"AI导师功能太赞了，不懂的随时问，比自己看书效率高多了！" —— 用户B，学生
让学习更高效 📚
更新日志：
- v1.1.0 (2025-03-04): 新增个性化路径、进度跟踪、资源推荐、AI导师、学习报告、团队学习
- v1.0.0 (2025-02-01): 初始版本，支持学习计划生成、AI答疑、学习资料推荐
© LeoYeAI, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 2 other files in skills/ai-learning-planner-cn of LeoYeAI/openclaw-master-skills.
- SKILL.md
- SKILL_v1.1.md
- _meta.json
Open the folder on GitHubat commit e5199b5
Compare with similar skills
AI Learning Planner Cn next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| AI Learning Planner Cn this skillLeoYeAI/openclaw-master-skills | 2.2k | — | ~2.2k | Automated safety check: Pass | MIT | |
| Plannerpenpot/penpot | 61k | — | ~2.7k | Automated safety check: Pass | MPL-2.0 | |
| Agent Plannerruvnet/ruflo | 74k | 2 repos | ~1.2k | Automated safety check: Pass | MIT | |
| Agent Goal Plannerruvnet/ruflo | 74k | 2 repos | ~842 | Automated safety check: Pass | MIT | |
| Agent Code Goal Plannerruvnet/ruflo | 74k | 2 repos | ~3.6k | Automated safety check: Pass | MIT | |
| Travel Plannersickn33/agentic-awesome-skills | 47k | 1 repos | ~2k | Automated safety check: Pass | MIT |
Similar skills
Agent Planner
ruvnet/ruflo
Agent skill for planner - invoke with $agent-planner. An agent skill from ruvnet/ruflo.
Agent Goal Planner
ruvnet/ruflo
Agent skill for goal-planner - invoke with $agent-goal-planner
Agent Code Goal Planner
ruvnet/ruflo
Agent skill for code-goal-planner - invoke with $agent-code-goal-planner
Travel Planner
sickn33/agentic-awesome-skills
旅行/行程规划需求时使用:规划去某地旅行、X天X城、带老人孩子、自驾、假期安排等。产出逐日行程表、预算估算(经济/舒适/奢华三档)、交通住宿建议、景点美食清单。必须先问预算,预算未确认只输出问题清单;事实数据带来源和查询日期。
Curriculum Planner
THU-MAIC/OpenMAIC
Plans a multi-classroom series such as a seven-day course, clarifies the brief in rounds, gets sign-off on the full lesson list, then builds each stage in a shared folder.
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Questions about AI Learning Planner Cn
What does AI Learning Planner Cn do?
AI学习计划生成器 v2.1 | AI Learning Planner. An agent skill from LeoYeAI/openclaw-master-skills. AI Learning Planner Cn is an agent skill from LeoYeAI/openclaw-master-skills.1 | AI Learning Planner.
How do I install AI Learning Planner Cn in Claude Code?
Run `npx skills add LeoYeAI/openclaw-master-skills --skill ai-learning-planner-cn -a claude-code`. Or copy the skill folder (skills/ai-learning-planner-cn in LeoYeAI/openclaw-master-skills) into .claude/skills/ai-learning-planner-cn in your project. Claude Code loads it when a task matches its description.
How do I install AI Learning Planner Cn in Codex?
Run `npx skills add LeoYeAI/openclaw-master-skills --skill ai-learning-planner-cn -a codex`. Or copy the skill folder (skills/ai-learning-planner-cn in LeoYeAI/openclaw-master-skills) into .agents/skills/ai-learning-planner-cn in your project. Codex loads it when a task matches its description.
Can I use AI Learning Planner Cn in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add LeoYeAI/openclaw-master-skills --skill ai-learning-planner-cn -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ai-learning-planner-cn, .gemini/skills/ai-learning-planner-cn, .github/skills/ai-learning-planner-cn and .opencode/skills/ai-learning-planner-cn in your project.
What does AI Learning Planner Cn need to run?
SKILL.md names no scripts, command-line tools or credentials: AI Learning Planner Cn is instructions for the agent only. Our summary lists: Python 3.
Does AI Learning Planner Cn access the network?
SKILL.md names 2 domains. In commands or code: learn.clawhub.ai and zhuanlan.zhihu.com; the agent is likely to contact these when it follows the instructions. This is read from the text; nothing was executed.
Is AI Learning Planner Cn safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does AI Learning Planner Cn use?
AI Learning Planner Cn is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does AI Learning Planner Cn use?
About 2.2k tokens (SKILL.md is roughly 8.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to AI Learning Planner Cn?
Skills that share tags, products or a category with AI Learning Planner Cn: Planner (penpot/penpot, 61k stars), Agent Planner (ruvnet/ruflo, 74k stars), Agent Goal Planner (ruvnet/ruflo, 74k stars) and Agent Code Goal Planner (ruvnet/ruflo, 74k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains AI Learning Planner Cn?
LeoYeAI (a GitHub user) maintains it in LeoYeAI/openclaw-master-skills, which has 2,161 GitHub stars. The repository holds 1,235 skills in this directory. The repository was last updated on July 20, 2026.
Source: LeoYeAI/openclaw-master-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.