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Teacher Certification Sprint

Community
hezkvectory
teacher-certification-sprint

把教师资格证备考从“泛泛刷题”变成诊断、提分优先级、限时训练、错题复盘和下次复测的闭环，帮助用户知道现在最该抓什么、每天怎么练、怎么判断有没有进步。 Workflow: teacher_certification_sprint.run.

Overview

Publisherhezkvectory
Repositoryhermes-edu-skills
Skill nameteacher-certification-sprint
Stars
127
Forks
58
Bundled files
Instructions only
LicenseMIT
Links
Skill sourceRepositoryHomepage
  • 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 Teacher Certification Sprint 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/exam-prep/teacher-certification-sprint
  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/exam-prep/teacher-certification-sprint .claude/skills/teacher-certification-sprint
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Teacher Certification Sprint 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 Teacher Certification Sprint 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 Teacher Certification Sprint 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.

教师资格证备考 Skill

把教师资格证备考从“泛泛刷题”变成诊断、提分优先级、限时训练、错题复盘和下次复测的闭环，帮助用户知道现在最该抓什么、每天怎么练、怎么判断有没有进步。

这个 Skill 解决什么问题 / Problem

把教师资格证备考从“泛泛刷题”变成诊断、提分优先级、限时训练、错题复盘和下次复测的闭环，帮助用户知道现在最该抓什么、每天怎么练、怎么判断有没有进步。

最适合 / Best For

  • 准备教师资格证但不知道从哪里开始
  • 分数或正确率卡住，需要找出最值得先提分的模块
  • 需要把错题、薄弱点和复习计划连成一个可执行节奏
  • 独立 Hermes Agent 用户搭建考试复习助手或题库前端

不适合 / Not For

  • 押题、包过、泄露考试内容或替考作弊
  • 要求复刻官方真题或受版权保护的试卷原文
  • 只想要宏观鸡汤式计划，不愿提供当前水平、错题或可用时间
  • 只看网课不练限时题，或只刷题不复盘方法

使用前请准备 / Inputs

  • 考试目标和考试日期
  • 当前年级/基础水平/最近分数或正确率
  • 薄弱模块或最近 3-5 道错题
  • 每天可用时间和每周可学习天数
  • 希望训练方式：诊断、专项、限时、整卷、错题复盘、考前冲刺
  • 可选：目标分数、使用教材/地区/考试版本、是否需要家长或老师视角

推荐工作流 / Recommended Workflow

  • 先确认考试目标、剩余时间、当前水平和每天可用时间；缺关键项时只追问最必要的信息。
  • 先判断是知识框架缺口、题型方法、速度还是表达结构问题，给出 1-3 个最优先提分点。
  • 按考试模块、题型速度、材料阅读、作答结构和复盘节奏设计复习路径，区分保分项、突破项和放弃/降权项。
  • 按模块限时、材料拆解、答案结构和错题复盘组合训练，每个任务都标注时长、题量、难度和完成标准。
  • 把错题按知识点、题型方法、时间失控和表达偏差分类，把每次训练转成错因卡片、同类追练和下次复测时间。
  • 最后输出今天立刻能做的第一步，并提醒用户下一次反馈什么数据。

输出格式 / Output Format

  • 备考定位
  • 诊断结论
  • 提分优先级
  • 今日/本周任务
  • 限时训练方案
  • 错题复盘表
  • 下次复测安排

质量检查 / Quality Checks

  • 不能承诺押题命中、保过或替代正式考试评价。
  • 训练任务要匹配剩余时间和当前水平，不能把计划排满到无法执行。
  • 答案要有结构、有依据、有可复盘的得分点
  • 错题复盘必须包含错因、订正、同类题、复测时间，而不是只给正确答案。
  • 没有真题授权时，只能生成原创题或基于用户提供题目做解析。

没有平台工具时 / Standalone Fallback

  • 没有题库时，让用户粘贴错题或最近试卷摘要，并生成原创训练题。
  • 没有成绩数据时，用“最近正确率/自评强弱/最怕题型”做轻量诊断。
  • 没有日历工具时，输出可复制到日历或待办工具的复习清单。

示例提示 / Example Prompts

  • 教师资格证，我现在是成人学习，还有30 天，每天 45 分钟，帮我做提分计划。
  • 教师资格证复习，最近正确率忽高忽低，材料题总抓不住重点，请先诊断再安排 7 天专项训练。
  • 下面是我最近 5 道错题，请按教师资格证要求做错因分类、同类追练和复测安排。

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：

  • 考证

适用角色：

  • 学习者

调用信号 / Invocation Signals

意图：

  • teacher_certification_sprint
  • exam_prep
  • 考证

示例表达：

  • 开始教师资格证备考 Skill
  • 帮我做考证
  • 根据当前上下文执行教师资格证备考 Skill

公开 Skill 契约 / Public Skill Contract

  • Workflow: teacher_certification_sprint.run
  • Category: exam-prep
  • Stages: adult
  • Subjects: 职业教育
  • Abilities: 考试冲刺
  • Quality Tier: curated
  • Standalone Support: needs_user_input
  • Public Release: recommended
  • Requires Tools: context.load, entitlement.check, workflow.create, memory.write
  • Requires Data: 考试目标和日期, 当前分数/正确率/水平, 薄弱模块或最近错题, 每天可用时间, 训练方式：诊断/专项/限时/整卷/错题复盘
  • 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: 成人学习
  • Semesters: 模块
  • Scenarios: 考证
  • 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 Teacher Certification Sprint AI skill do?

把教师资格证备考从“泛泛刷题”变成诊断、提分优先级、限时训练、错题复盘和下次复测的闭环，帮助用户知道现在最该抓什么、每天怎么练、怎么判断有没有进步。 Workflow: teacher_certification_sprint.run.

Why use Teacher Certification Sprint on TypingMind?

Because you install it once and use it with any model. Teacher Certification Sprint 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 Teacher Certification Sprint in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/hezkvectory/hermes-edu-skills/tree/main/skills/exam-prep/teacher-certification-sprint. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Teacher Certification Sprint?

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 Teacher Certification Sprint?

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

Is the Teacher Certification Sprint 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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