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Family Holiday Learning

Community
hezkvectory
family-holiday-learning

假期家庭学习把寒暑假从“报很多课/放任玩”改成学习、阅读、运动和休息平衡的家庭节奏。重点不是替家长管孩子，而是把家庭学习场景拆成可沟通、可执行、可复盘的小步骤。 Workflow: family_holiday_learning.run.

Overview

Publisherhezkvectory
Repositoryhermes-edu-skills
Skill namefamily-holiday-learning
Stars
127
Forks
58
Bundled files
Instructions only
LicenseMIT
Links
Skill sourceRepositoryHomepage
  • 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 Family Holiday Learning 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/family-education/family-holiday-learning
  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/family-education/family-holiday-learning .claude/skills/family-holiday-learning
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Family Holiday Learning 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 Family Holiday Learning 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 Family Holiday Learning 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.

假期家庭学习 Skill

假期家庭学习把寒暑假从“报很多课/放任玩”改成学习、阅读、运动和休息平衡的家庭节奏。重点不是替家长管孩子，而是把家庭学习场景拆成可沟通、可执行、可复盘的小步骤。

这个 Skill 解决什么问题 / Problem

假期家庭学习把寒暑假从“报很多课/放任玩”改成学习、阅读、运动和休息平衡的家庭节奏。重点不是替家长管孩子，而是把家庭学习场景拆成可沟通、可执行、可复盘的小步骤。

最适合 / Best For

  • 家长不知道今晚怎么陪学
  • 作业、阅读、情绪、屏幕时间或家校沟通容易起冲突
  • 需要把学习任务变得更温和、更可坚持
  • 独立 Hermes Agent 用户搭建家庭教育助手

不适合 / Not For

  • 替代专业心理咨询、医学诊断或学校正式评估
  • 用惩罚、羞辱或威胁驱动学习
  • 把假期排得像上学日，导致孩子抵触

使用前请准备 / Inputs

  • 孩子年龄/年级
  • 假期长度、年级、薄弱点、家庭出行安排、每天可用学习时间
  • 今晚可用时间
  • 家长希望改善的一个具体问题
  • 可选：老师反馈、作业内容、孩子最近表现

推荐工作流 / Recommended Workflow

  • 先复述家长的真实困扰，判断这是任务问题、能力问题、情绪问题还是沟通问题。
  • 先定假期主目标，再安排轻量日计划、每周复盘和奖励机制。
  • 给家长可直接说出口的话术，避免命令式和贴标签表达。
  • 把任务控制在一个晚上能完成的范围内，并留下第二天复盘点。

输出格式 / Output Format

  • 假期目标
  • 周节奏
  • 每日任务
  • 阅读/运动安排
  • 复盘表

质量检查 / Quality Checks

  • 语气要支持家长，但不把孩子问题简单归因为懒或不听话
  • 每次只解决一个家庭场景
  • 建议必须能在家里执行
  • 涉及明显心理/安全风险时提醒寻求专业帮助

没有平台工具时 / Standalone Fallback

  • 没有家庭数据时，让家长描述一个最近发生的具体场景。
  • 没有学习记录时，用“今天任务、孩子反应、家长目标”生成陪伴脚本。

示例提示 / Example Prompts

  • 五年级暑假 6 周，数学弱、阅读少，帮我做一个能坚持的家庭计划。
  • 请按假期家庭学习给我今晚能直接照着做的步骤和话术。

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：

  • 寒暑假提升

适用角色：

  • 家长

调用信号 / Invocation Signals

意图：

  • family_holiday_learning
  • family_education
  • 寒暑假提升

示例表达：

  • 开始假期家庭学习 Skill
  • 帮我做寒暑假提升
  • 根据当前上下文执行假期家庭学习 Skill

公开 Skill 契约 / Public Skill Contract

  • Workflow: family_holiday_learning.run
  • Category: family-education
  • Stages: preschool, primary, junior
  • Subjects: 家庭教育
  • Abilities: 陪学建议
  • Quality Tier: curated
  • Standalone Support: needs_user_input
  • Public Release: recommended
  • Requires Tools: context.load, entitlement.check, workflow.create, memory.write
  • Requires Data: 孩子年龄/年级, 假期长度、年级、薄弱点、家庭出行安排、每天可用学习时间, 今晚可用时间, 家长希望改善的一个具体问题, 可选：老师反馈、作业内容、孩子最近表现
  • 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: 小班, 中班, 大班, 幼小衔接, 一年级, 二年级, 三年级, 四年级, 五年级, 六年级, 七年级, 八年级, 九年级
  • Semesters: 全年, 上册, 下册, 上册, 下册
  • Scenarios: 寒暑假提升
  • 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 Family Holiday Learning AI skill do?

假期家庭学习把寒暑假从“报很多课/放任玩”改成学习、阅读、运动和休息平衡的家庭节奏。重点不是替家长管孩子，而是把家庭学习场景拆成可沟通、可执行、可复盘的小步骤。 Workflow: family_holiday_learning.run.

Why use Family Holiday Learning on TypingMind?

Because you install it once and use it with any model. Family Holiday Learning 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 Family Holiday Learning in TypingMind?

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

Which AI models can use Family Holiday Learning?

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 Family Holiday Learning?

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

Is the Family Holiday Learning 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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