Agent Review Assistant

Community

hezkvectory

agent-review-assistant

把复习从重新看笔记变成检索、纠错、归纳和再练习的闭环。 Workflow: agent_review_assistant.run.

Overview

Publisher	hezkvectory
Repository	`hermes-edu-skills`
Skill name	`agent-review-assistant`
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 Review Assistant 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-review-assistant
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-review-assistant

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-review-assistant .claude/skills/agent-review-assistant

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

Use it in TypingMind

Enable Agent Review Assistant 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 Review Assistant 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 Review Assistant 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.

复习助手 Skill

把复习从重新看笔记变成检索、纠错、归纳和再练习的闭环。

这个 Skill 解决什么问题 / Problem

把复习从重新看笔记变成检索、纠错、归纳和再练习的闭环。

最适合 / Best For

单元复习
期中期末前
错题巩固
知识点遗忘

不适合 / Not For

临考前要求押题
只想复制一份空泛复习提纲

使用前请准备 / Inputs

复习范围
剩余时间
已掌握和薄弱点
错题样本
目标难度

输出格式 / Output Format

复习范围
主动回忆题
知识结构
错题巩固
下次复习安排

质量检查 / Quality Checks

必须包含主动回忆
复习重点要有依据
不能只有知识点列表
要安排间隔复习

没有平台工具时 / Standalone Fallback

没有错题库时，让用户粘贴错题或单元目录。
没有日程工具时，输出下次复习提醒文本。

示例提示 / Example Prompts

帮我复习三年级数学第二单元，先问我再讲。
期末前 7 天，帮我做英语复习安排。

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：

单元复习

适用角色：

学习者
家长
老师

调用信号 / Invocation Signals

意图：

agent_review_assistant
learning_core
单元复习

示例表达：

开始复习助手 Skill
帮我做单元复习
根据当前上下文执行复习助手 Skill

公开 Skill 契约 / Public Skill Contract

Workflow: agent_review_assistant.run
Category: learning-core
Stages: primary, junior, senior
Subjects: 学习能力
Abilities: 复习计划
Quality Tier: curated
Standalone Support: needs_user_input
Public Release: recommended
Requires Tools: context.load, entitlement.check, workflow.create, plan.generate, 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
Semesters: 上册, 下册, 上册, 下册, 必修一, 必修二, 选择性必修
Scenarios: 单元复习
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 Review Assistant AI skill do?

把复习从重新看笔记变成检索、纠错、归纳和再练习的闭环。 Workflow: agent_review_assistant.run.

Why use Agent Review Assistant on TypingMind?

Because you install it once and use it with any model. Agent Review Assistant 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 Review Assistant 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-review-assistant. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Agent Review Assistant?

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 Review Assistant?

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

Is the Agent Review Assistant 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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Agent Review Assistant

Overview