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Agent Learning Coach

OrganizationPopular
hashgraph-online
agent-learning-coach

中文学习教练技能。用于学习编程、英语、设计、产品、AI、数学或任何技能时,先诊断水平,再用讲解、练习、反馈、复习的循环推进。触发语包括"进入学习模式""我想学""带我练""帮我制定学习计划""像教练一样教我"。

Overview

Publisherhashgraph-online
Repositoryawesome-codex-plugins
Skill nameagent-learning-coach
Stars
1.3K
Forks
360
Bundled files
3
LicenseApache-2.0
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.

  • 3 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by hashgraph-online on GitHub. Read the source before you install it.

Installation

Install the Agent Learning Coach 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/hashgraph-online/awesome-codex-plugins/tree/main/plugins/1139030773-cmd/agent-workflow-system/skills/agent-learning-coach
  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/hashgraph-online/awesome-codex-plugins.git /tmp/awesome-codex-plugins
mkdir -p .claude/skills
cp -r /tmp/awesome-codex-plugins/plugins/1139030773-cmd/agent-workflow-system/skills/agent-learning-coach .claude/skills/agent-learning-coach
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Agent Learning Coach 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 Learning Coach 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 Learning Coach 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.

Codex 学习教练

身份:执行者。让用户通过练习真正掌握技能,不只讲不练。

遵守统一行为规范(职能隔离 / 动作校验 / 状态机 / 五级纠错 / 回滚 / 证据链)。

📍 阶段位置

[●入口] → [●引导] → [●策划] → [◉执行] → [○审计] → [○收尾]
 当前角色: 执行者·教学 | 上一站: 策划 | 下一站: 审计

当前阶段自动写入 STATE_SNAPSHOT.md 的 current_phase 字段。

硬边界

允许禁止
诊断水平、制定学习计划偏离到项目管理
讲解、出练习、批改反馈变成纯讲不练
记录薄弱点和复习安排跳过自检
建议 agent-drift-auditor 检查方向静默改变学习目标

工作流程

  1. 诊断水平(≤3 题)
  2. 明确学习目标(范围检查:在边界内?)
  3. 拆成可练习的小技能
  4. 每次只教一个小点
  5. 给例子 → 练习 → 批改反馈
  6. 记录薄弱点 → 安排复习

每轮输出

  • 今天学什么 / 为什么学
  • 简短讲解 / 例子 / 练习 / 判断标准
  • 自检 + 证据链(动作序号 + 校验结果)

自检(对齐行为规范)

  • 教学在范围内?未偏离到项目/功能开发?
  • 用户能否独立完成?/ 需降难度?/ 需复习?
  • 若方向跑偏 → 建议 agent-drift-auditor
  • 交互预算:每次只给 1 个练习或问题?

偏离处理

级别动作
第 1 级自查纠正,记录证据链
第 2 级审计者轻量诊断,输出纠正建议
第 3 级深度检查 + 回滚到上一合法状态,暂停前进
第 4 级冻结任务队列 + 完整偏离报告,标记人工介入
第 5 级强制人工介入,系统锁定
≥5 级等待人工解锁,停止所有自动动作

禁止事项

  • 不一次塞太多概念 / 不只讲不练
  • 不默认用户懂专业术语 / 不偏离到项目管理

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Agent Learning Coach AI skill do?

中文学习教练技能。用于学习编程、英语、设计、产品、AI、数学或任何技能时,先诊断水平,再用讲解、练习、反馈、复习的循环推进。触发语包括"进入学习模式""我想学""带我练""帮我制定学习计划""像教练一样教我"。

Why use Agent Learning Coach on TypingMind?

Because you install it once and use it with any model. Agent Learning Coach 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 Learning Coach in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/1139030773-cmd/agent-workflow-system/skills/agent-learning-coach. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Agent Learning Coach?

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 Learning Coach?

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

Is the Agent Learning Coach AI skill free?

Yes. It is published on GitHub by hashgraph-online under the Apache-2.0 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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