Agent Weekly Review

Community

hezkvectory

agent-weekly-review

把一周学习从流水账整理成进步、问题、下周行动三件事，让学生和家长都知道下一步做什么。 Workflow: agent_weekly_review.run.

Overview

Publisher	hezkvectory
Repository	`hermes-edu-skills`
Skill name	`agent-weekly-review`
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 Weekly Review 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-weekly-review
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-weekly-review

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-weekly-review .claude/skills/agent-weekly-review

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

Use it in TypingMind

Enable Agent Weekly Review 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 Weekly Review 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 Weekly Review 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.

每周复盘 Skill

把一周学习从流水账整理成进步、问题、下周行动三件事，让学生和家长都知道下一步做什么。

这个 Skill 解决什么问题 / Problem

把一周学习从流水账整理成进步、问题、下周行动三件事，让学生和家长都知道下一步做什么。

最适合 / Best For

周末复盘
家长查看学习状态
老师做阶段反馈
长期学习习惯建立

不适合 / Not For

没有记录却编造成果
用排名或负面评价刺激学生

使用前请准备 / Inputs

本周学习记录
练习正确率或错题
完成/未完成任务
学生自我感受
下周目标

输出格式 / Output Format

本周摘要
进步证据
主要问题
下周三件事
学生鼓励语

质量检查 / Quality Checks

不编造数据
反馈要具体
下周目标不能过多
必须包含学生能执行的动作

没有平台工具时 / Standalone Fallback

没有平台记录时，让用户粘贴本周任务和错题。
没有报表工具时，输出可保存周报。

示例提示 / Example Prompts

根据这一周的学习记录，帮我做周复盘和下周计划。
孩子这周错题多但有进步，帮我写一份不焦虑的反馈。

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：

学习报告

适用角色：

学习者
家长
老师

调用信号 / Invocation Signals

意图：

agent_weekly_review
learning_core
学习报告

示例表达：

开始每周复盘 Skill
帮我做学习报告
根据当前上下文执行每周复盘 Skill

公开 Skill 契约 / Public Skill Contract

Workflow: agent_weekly_review.run
Category: learning-core
Stages: primary, junior, senior
Subjects: 学习能力
Abilities: 阶段复盘
Quality Tier: curated
Standalone Support: needs_user_input
Public Release: recommended
Requires Tools: context.load, entitlement.check, workflow.create, report.aggregate_metrics, 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: 学习报告
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 Weekly Review AI skill do?

把一周学习从流水账整理成进步、问题、下周行动三件事，让学生和家长都知道下一步做什么。 Workflow: agent_weekly_review.run.

Why use Agent Weekly Review on TypingMind?

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

Which AI models can use Agent Weekly Review?

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 Weekly Review?

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

Is the Agent Weekly Review 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 Weekly Review

Overview