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College Cs Python

Community
hezkvectory
college-cs-python

把 Python 学习从“看完教程就忘”变成语法理解、小项目、调试反馈和作品沉淀。核心不是再推荐一堆资料,而是让用户今天能完成一个可检查的小成果。 Workflow: college_cs_python.run.

Overview

Publisherhezkvectory
Repositoryhermes-edu-skills
Skill namecollege-cs-python
Stars
127
Forks
58
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by hezkvectory on GitHub. Read the source before you install it.

Installation

Install the College Cs Python AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/hezkvectory/hermes-edu-skills/tree/main/skills/career-learning/college-cs-python
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/hezkvectory/hermes-edu-skills.git /tmp/hermes-edu-skills
mkdir -p .claude/skills
cp -r /tmp/hermes-edu-skills/skills/career-learning/college-cs-python .claude/skills/college-cs-python
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable College Cs Python in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads College Cs Python on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so College Cs Python is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Python 学习 Skill

把 Python 学习从“看完教程就忘”变成语法理解、小项目、调试反馈和作品沉淀。核心不是再推荐一堆资料,而是让用户今天能完成一个可检查的小成果。

这个 Skill 解决什么问题 / Problem

把 Python 学习从“看完教程就忘”变成语法理解、小项目、调试反馈和作品沉淀。核心不是再推荐一堆资料,而是让用户今天能完成一个可检查的小成果。

最适合 / Best For

  • 零基础或转专业学习 Python
  • 想用 Python 做自动化、数据处理或小工具
  • 需要项目制学习路径
  • 独立 Hermes Agent 用户搭建编程学习助手

不适合 / Not For

  • 直接代写课程作业或外包代码
  • 跳过基础语法只要完整项目答案
  • 处理违法爬虫、攻击脚本或绕过系统限制

使用前请准备 / Inputs

  • 当前编程基础
  • 学习目标
  • 每天可用时间
  • 想做的项目方向
  • 可选:已有代码或报错信息

推荐工作流 / Recommended Workflow

  • 先判断基础水平和目标场景。
  • 用一个小项目带出当天语法点。
  • 安排编写、运行、报错定位和重构。
  • 最后留下一个可展示的小成果和下一步挑战。

输出格式 / Output Format

  • 学习目标
  • 今日概念
  • 小项目任务
  • 代码骨架
  • 调试清单
  • 下一步挑战

质量检查 / Quality Checks

  • 必须让用户自己动手写关键代码
  • 讲解要结合项目场景
  • 不得提供不当用途代码
  • 输出要包含调试和复盘

没有平台工具时 / Standalone Fallback

  • 没有运行环境时,用伪代码和步骤解释。
  • 没有项目想法时,按自动化/数据/小游戏给用户选择。

示例提示 / Example Prompts

  • 我零基础想学 Python,每天 40 分钟,请用一个小项目带我学。
  • 这段 Python 报错看不懂,帮我定位并教我怎么调试。

适用场景 / When To Use

当学习者、家长、老师、学校或教育应用开发者需要处理以下场景时,可以使用这个 Skill。

最适合的场景:

  • 职业技能

适用角色:

  • 学习者

调用信号 / Invocation Signals

意图:

  • college_cs_python
  • career_learning
  • 职业技能

示例表达:

  • 开始Python 学习 Skill
  • 帮我做职业技能
  • 根据当前上下文执行Python 学习 Skill

公开 Skill 契约 / Public Skill Contract

  • Workflow: college_cs_python.run
  • Category: career-learning
  • Stages: college, adult
  • Subjects: 计算机
  • Abilities: 编程
  • Quality Tier: curated
  • Standalone Support: needs_user_input
  • Public Release: recommended
  • Requires Tools: context.load, entitlement.check, workflow.create, memory.write
  • Requires Data: 当前编程基础, 学习目标, 每天可用时间, 想做的项目方向, 可选:已有代码或报错信息
  • Export Mode: installable
  • Release Channel: recommended

成熟度备注:

  • 已按精品 Skill 标准补充边界、输入、工作流、输出格式和示例。

参数化使用 / Parameters

这个 Skill 不再把年级、册别、单元、知识点和难度拆成大量独立 Skill。请在调用时通过参数或自然语言补充这些信息。

  • Grades: 大学, 考研
  • Semesters: 模块, 模块
  • Scenarios: 职业技能
  • Difficulties: 基础, 标准, 提高
  • Parameterized Dimensions: grade, semester, unit, lesson, knowledgePointCodes, scenario, difficulty

独立 Hermes 使用方式 / Standalone Hermes Usage

这个 Skill 可以通过 Hermes 的 skills.external_dirs 作为外部 Skill 加载。

如果你有自己的工具、记忆、课程数据或 workflow runner,可以把它们与本 Skill 组合使用。如果没有外部工具,也可以直接使用上面的说明来引导对话,生成有用的学习或教学反馈。

Frequently asked questions

What does the College Cs Python AI skill do?

把 Python 学习从“看完教程就忘”变成语法理解、小项目、调试反馈和作品沉淀。核心不是再推荐一堆资料,而是让用户今天能完成一个可检查的小成果。 Workflow: college_cs_python.run.

Why use College Cs Python on TypingMind?

Because you install it once and use it with any model. College Cs Python is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install College Cs Python in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/hezkvectory/hermes-edu-skills/tree/main/skills/career-learning/college-cs-python. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use College Cs Python?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with College Cs Python?

As many as you like. As long as a model supports skills, you can use College Cs Python with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the College Cs Python AI skill free?

Yes. It is published on GitHub by hezkvectory under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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