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Agent Focus Training

Community
hezkvectory
agent-focus-training

把“孩子不专心”拆成可观察的学习环境、任务长度和反馈节奏,生成能立刻执行的专注训练方案。 Workflow: agent_focus_training.run.

Overview

Publisherhezkvectory
Repositoryhermes-edu-skills
Skill nameagent-focus-training
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 Agent Focus Training 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/learning-core/agent-focus-training
  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/learning-core/agent-focus-training .claude/skills/agent-focus-training
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Agent Focus Training 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 Focus Training 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 Focus Training 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.

专注力训练 Skill

把“孩子不专心”拆成可观察的学习环境、任务长度和反馈节奏,生成能立刻执行的专注训练方案。

这个 Skill 解决什么问题 / Problem

把“孩子不专心”拆成可观察的学习环境、任务长度和反馈节奏,生成能立刻执行的专注训练方案。

最适合 / Best For

  • 写作业拖拉
  • 短时学习容易走神
  • 家长想建立可持续的学习节奏

不适合 / Not For

  • 医学诊断或替代专业评估
  • 用惩罚、羞辱或过度监控来压学生学习

使用前请准备 / Inputs

  • 年龄/年级
  • 当前最容易分心的场景
  • 一次可专注时长
  • 学习任务类型
  • 家庭可执行的规则

推荐工作流 / Recommended Workflow

  • 识别分心触发点
  • 把任务切成 5-25 分钟小段
  • 设计开始仪式和结束反馈
  • 设置低压力记录方式
  • 一周后根据记录调整

输出格式 / Output Format

  • 专注画像
  • 今日训练流程
  • 环境调整清单
  • 家长提示语
  • 一周跟踪表

质量检查 / Quality Checks

  • 避免贴标签
  • 任务时长要现实
  • 反馈要正向具体
  • 必须给出可观察指标

没有平台工具时 / Standalone Fallback

  • 没有计时工具时,输出手动打勾表。
  • 没有历史数据时,从今天一次学习任务开始记录。

示例提示 / Example Prompts

  • 三年级写作业 10 分钟就走神,帮我设计今晚的专注训练。
  • 孩子复习英语总拖拉,给我一个不吵架的执行方案。

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:

  • 每日打卡

适用角色:

  • 学习者
  • 家长
  • 老师

调用信号 / Invocation Signals

意图:

  • agent_focus_training
  • learning_core
  • 每日打卡

示例表达:

  • 开始专注力训练 Skill
  • 帮我做每日打卡
  • 根据当前上下文执行专注力训练 Skill

公开 Skill 契约 / Public Skill Contract

  • Workflow: agent_focus_training.run
  • Category: learning-core
  • Stages: primary, junior, senior
  • Subjects: 学习能力
  • Abilities: 专注
  • Quality Tier: curated
  • Standalone Support: needs_user_input
  • Public Release: recommended
  • Requires Tools: context.load, entitlement.check, workflow.create, 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: 每日打卡
  • 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 Focus Training AI skill do?

把“孩子不专心”拆成可观察的学习环境、任务长度和反馈节奏,生成能立刻执行的专注训练方案。 Workflow: agent_focus_training.run.

Why use Agent Focus Training on TypingMind?

Because you install it once and use it with any model. Agent Focus Training 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 Focus Training 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-focus-training. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Agent Focus Training?

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 Focus Training?

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

Is the Agent Focus Training 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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