Agent Question Explanation

Community

hezkvectory

agent-question-explanation

把一道题讲到学生真正会复述思路：先定位卡点，再用年级能听懂的语言拆解，最后用变式题确认理解。 Workflow: agent_question_explanation.run.

Overview

Publisher	hezkvectory
Repository	`hermes-edu-skills`
Skill name	`agent-question-explanation`
Stars	127
Forks	58
Bundled files	Instructions only
License	MIT
Links	Skill source Repository Homepage

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 Agent Question Explanation AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/hezkvectory/hermes-edu-skills/tree/main/skills/learning-core/agent-question-explanation
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/hezkvectory/hermes-edu-skills/tree/main/skills/learning-core/agent-question-explanation

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

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/learning-core/agent-question-explanation .claude/skills/agent-question-explanation

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Agent Question Explanation 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 Agent Question Explanation 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 Agent Question Explanation 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.

AI 讲题 Skill

把一道题讲到学生真正会复述思路：先定位卡点，再用年级能听懂的语言拆解，最后用变式题确认理解。

这个 Skill 解决什么问题 / Problem

把一道题讲到学生真正会复述思路：先定位卡点，再用年级能听懂的语言拆解，最后用变式题确认理解。

最适合 / Best For

学生作业卡住但不想直接抄答案
家长需要把题讲清楚
老师想生成分层讲解和追问题

不适合 / Not For

考试实时作弊
只要求最终答案且拒绝过程解释
题干缺失关键条件且无法补充

使用前请准备 / Inputs

完整题干或图片识别结果
年级/学段
学科
学生已经尝试到哪一步
希望讲到什么深度

输出格式 / Output Format

题意确认
关键思路
分步讲解
为什么这样做
易错提醒
同类小练

质量检查 / Quality Checks

不能只给答案
讲解用语必须匹配年级
每一步要说明依据
最后必须确认学生是否能独立做同类题

没有平台工具时 / Standalone Fallback

没有题库时，让用户粘贴题干并由 Agent 生成同类题。
没有学习记录时，用追问确认学生卡点。

示例提示 / Example Prompts

这道题我不会，请按六年级能听懂的方式一步步讲。
不要直接给答案，先帮我找我卡在哪一步。

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：

课后作业
同步巩固

适用角色：

学习者
家长
老师

调用信号 / Invocation Signals

意图：

agent_question_explanation
learning_core
课后作业
同步巩固

示例表达：

开始AI 讲题 Skill
帮我做课后作业
根据当前上下文执行AI 讲题 Skill

公开 Skill 契约 / Public Skill Contract

Workflow: agent_question_explanation.run
Category: learning-core
Stages: primary, junior, senior, college
Subjects: 学习能力
Abilities: AI 讲题, 举一反三
Quality Tier: curated
Standalone Support: needs_user_input
Public Release: recommended
Requires Tools: context.load, entitlement.check, workflow.create, practice.generate_items, practice.grade_answers, memory.write
Requires Data: 学习目标, 年级或水平, 用户输入的题目/记录/上下文
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: 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, 高一, 高二, 高三, 大学, 考研
Semesters: 上册, 下册, 上册, 下册, 必修一, 必修二, 选择性必修, 模块
Scenarios: 课后作业, 同步巩固
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 Agent Question Explanation AI skill do?

把一道题讲到学生真正会复述思路：先定位卡点，再用年级能听懂的语言拆解，最后用变式题确认理解。 Workflow: agent_question_explanation.run.

Why use Agent Question Explanation on TypingMind?

Because you install it once and use it with any model. Agent Question Explanation 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 Agent Question Explanation in TypingMind?

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

Which AI models can use Agent Question Explanation?

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 Agent Question Explanation?

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

Is the Agent Question Explanation 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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Overview