规划学习计划 · Study Plan Coach
把模糊目标变成可执行的学习计划:拆解知识点、排期与每日练习,附过关标准,教练式一次只讲一个概念。 Turn vague goals into an actionable study plan with knowledge points, scheduling, daily practice, and clear pass criteria.
$7
Works with the AI tools you already use
规划学习计划 · Study Plan Coach
Example session with this skill installed
我想学 Python,完全零基础,目标是 30 天内能写一个自动整理文件的脚本。每天只有 1 小时,周末可以 2 小时。请以教练模式带我规划,先给总体计划,再告诉我今天做什么。
- Read your context and instructions
- Compiled the study plan coach
- Generated the UI component
结论:30 天、每天 1 小时,目标定为「能写出自动整理文件的脚本」是可行的。路线分 4 个阶段:环境与语法(第 1-7 天)→ 文件与函数(第 8-16 天)→ 异常与实战(第 17-25 天)→ 打磨收尾(第 26-30 天)。今天只做一件事:装好环境,跑出第一行 Hello World。
| 天数 | 学习主题 | 核心概念 | 练习任务 | 过关标准 |
|---|---|---|---|---|
| 第 1 天 | 环境搭建 | Python 安装 + VS Code | 运行 Hello World | 控制台无报错输出文字 |
| 第 2-3 天 | 变量与类型 | int / str / list | 写个人名片变量集 | print 输出组合信息 |
| 第 4-5 天 | 条件判断 | if / else | 写成绩评级小工具 | 不同分数输出对应等级 |
| 第 6-7 天 | 循环 | for / while | 打印九九乘法表 | 格式对齐且逻辑正确 |
| 第 8-16 天 | 文件操作 | open / os / pathlib | 按扩展名整理文件夹 | 指定目录自动归类文件 |
| 第 17-25 天 | 函数与异常 | def / try | 把整理脚本封装成函数 | 异常输入不崩溃且有提示 |
| 第 26-30 天 | 收尾打磨 | 参数化 + 注释 | 加命令行参数与说明 | 换一台电脑也能跑通 |
今日行动
- 去 python.org 下载 3.12 版安装,勾选 Add to PATH。
- 在 VS Code 里新建 hello.py,写入 print("Hello, Python"),运行确认无报错。
- 把「30 天目标」写成变量 target = "文件整理脚本",打印出来留个纪念。
下一步
- 完成今天任务后回复「已安装」,我会给第 2 天的变量练习和自测题。
- 如果安装报错,直接把错误信息贴给我,我们先解决环境问题再往下走。
study-plan-coach.tsx
TSX · React component
Example file from a real run - the skill writes it into your workspace.
Connects securely to your tools. The creator never sees your data.
What you get
About this skill
它解决什么问题
普通 AI 给出的学习计划常常是「一份 30 天课程表」,信息一次倒给用户,零基础的人第二天就放弃。这个技能把学习规划做成教练模式:先问清目标、基础和每天可用时间,再把大目标拆成每天吃得下的小任务,一次只讲一个概念,学完立刻练习,让计划真正被学完而不是被收藏。
这个技能做什么
围绕学习计划提供引导式规划能力:先通过澄清提问确认学习目标、当前基础、可用时间与交付期限,再把学科拆解为循序渐进的阶段与每日任务,每个模块配具体的练习与过关标准,最后输出一张可执行的排期表。默认中文输出,支持英文切换,缺失的信息标注「待确认」。
为什么比裸提示词强
- 教练式节奏:一次一个概念,防止信息过载,而不是一次性倒出全部内容
- 内置练习与过关标准:每个模块都有「做到什么算过关」
- 结论先行:先给总目标与阶段划分,再给每日细节
- 不编造你的基础水平,规划前先问清约束条件
典型用例
- 零基础成年人想在 30 天内入门一门编程语言
- 在职考生用每天 1 小时备考职业认证
- 把模糊目标「学英语」变成可执行的每周计划
- 为团队新人设计 2 周上手培训路径
局限
技能输出的计划基于你提供的基础与时间,中途请假需要重新排期;它提供练习与自测标准,但不替代老师对作业的批改。
English · 英文介绍
The problem
The learning plan given by ordinary AI is often "a 30-day course schedule". The information is dumped to the user at once, and those with no basic knowledge will give up the next day. This skill turns the learning plan into a coaching model: first ask about the goals, basics and available time every day, then break the big goals into small tasks that can be eaten every day, only teach one concept at a time, and practice immediately after learning, so that the plan can be truly learned instead of being collected.
What it does
Provide guided planning capabilities around the learning plan: first confirm the learning goals, current foundation, available time and delivery deadline through clarifying questions, then break down the subject into progressive stages and daily tasks, each module is equipped with specific exercises and passing standards, and finally output an executable schedule. The default Chinese output, English switching is supported, and the missing information is marked "to be confirmed".
Why is it better than naked prompt words?
- Coaching pace: One concept at a time to prevent information overload rather than pouring out everything at once
- Built-in exercises and passing standards: Each module has "what you can do to pass"
- Conclusion first: first give the overall goal and stage divisions, and then give the daily details
- Don’t make up your basic level, ask about the constraints before planning
Typical use cases
- Adults with no basic knowledge want to learn a programming language in 30 days
- Working candidates spend 1 hour a day preparing for professional certification exams
- Turn the vague goal of "learning English" into an executable weekly plan
- Design a 2-week onboarding training path for new team members
Limitations
The skill output plan is based on the basis and time provided by you. If you ask for leave midway, you need to reschedule; it provides practice and self-test standards, but does not replace the teacher's correction of homework.
How to install
Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.
- 1
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- 2
Unzip into your skills folder
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- 3
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