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Student Study Framework

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egplnt
student-study-framework

Reusable high-school study-engineering framework — scan gaps → bridge, 5-step daily loop, parameterized red-line checklist.

Overview

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Repository-student-study-framework
Skill namestudent-study-framework
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Bundled files
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  • 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.

  • 8 bundled files

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

  • Open source

    Published by egplnt on GitHub. Read the source before you install it.

Installation

Install the Student Study Framework 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/egplnt/-student-study-framework/tree/master
  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/egplnt/-student-study-framework.git \
  .claude/skills/student-study-framework
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Student Study Framework 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 Student Study Framework 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 Student Study Framework 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.

高中生学习工程框架(核心框架)

本 skill 已完全脱敏,使用中性示例表述,不依赖任何内部代称或代号。 本框架不承诺提分。术语定义、证据分级与失效条件见 README.md;效果边界见下节。

何时使用

  • 构建或维护高中生的学习计划、知识搭桥、周任务单、组题链路、红线校验时触发。
  • 涉及「扫盲点→搭桥」方法论、每日闭环时触发。

前置依赖与效果边界(必读)

本框架交付的是方法论骨架,不含任何数据资产与人力。效果强依赖以下外部条件,非开箱即用:

硬前置条件

  1. 本地学习资料库:需要一套分学科、可检索的本地资料(教辅 / 试卷 / 讲义),桥接计划才有素材。库为空、或资料是无文字层的扫描件时,须先做 OCR 或建立路径索引。
  2. 每日人力统筹:五步闭环的第 ②③④⑤ 步(手写执行、三查、送批、对答案)须由家长 / 统筹人每日执行。无此角色,闭环断在中途。

效果边界

  • 本框架能从零建立「计划—执行—校验」的流程纪律,但不会自动产生提分效果。
  • 效果 ≈ 方法论 × 资料资产 × 每日人力投入 × 环境适配;本 skill 只提供第一项的一部分。
  • 学科适配:框架在理科(数学 / 物理 / 化学)验证较充分;文科、低龄、大学阶段需自行调整桥接逻辑。
  • 红线清单条目多为具体案例沉淀,使用时须按自身学情裁剪,不可照搬。

一、核心定位(参数化,可套用不同学生)

以一个高中生为示例,框架对以下参数开放:

  • 学段 / 科目 / 高考年份 / 目标分段
  • 主线教辅 换一名学生时,仅替换上述参数即可复用,不必重写流程。

二、核心方法论:扫盲点 → 搭桥(scan gaps → bridge plans)

  1. scan gaps:定位知识跳跃点与概念卡点。
  2. bridge plans:为卡点设计搭桥计划(B/D 桥接);概念卡点设独立「概念攻坚补充」附件隔离,攻破后再恢复后续测试。
  3. gating tests:桥接完成后设闸门测试,通过才进入下一阶段。

三、执行节奏:每日五步闭环

① 生成打印清单 → ② 手写执行 → ③ 90 秒三查勾选(查完成度 / 查规范 / 查疑点)→ ④ 难篇 / 续写拍照送批 → ⑤ 对答案报结果。 配合周任务单与交接单:当日未闭环项转入次日首条;新发现的卡点记入桥梁资产或概念攻坚附件。 模板见 references/daily_loop.md。

四、红线清单(逐条可勾选)

进度 / 内容红线

  • 超前内容不提前拖入低周次(如高二下内容不进入高一进度)
  • 英语读后续写以校情过关线为基线(如 75 词,非高考 150 词),严禁加量欠写
  • 每篇三查必做、难篇必送批
  • 概念卡点设独立「概念攻坚补充」附件隔离,攻破后再恢复闸门测试

工具 / 数据红线

  • 资料盘零丢失、永不自动删除、每批 ≤10、先清单再确认、同盘 move 可逆
  • PDF 处理前先跑文字层预检,禁止默认「PDF 有文字」
  • 对外交付文件一律脱敏,禁止出现任何内部代称

完整勾选表见 references/redline_checklist.md。

五、输出格式约定

  • 单栏 HTML、顶部 TOC、零依赖可离线、可打印。
  • 相对路径链接、well-formed 校验、旧版零残留。
  • 交付前四闸门预检(控制层 / 内容源 / 格式核对 / 库缺口):若已安装 study-deliverable-precheck 则按其流程执行;未安装时按本节四项逐条自检。

六、关联

  • 通用搭桥方法论由 study-plan-bridge 覆盖;本 skill 只收专属部分(参数 + 红线 + 五步闭环),通用部分引用即可,不重抄。该 skill 未上架官方市场,未安装时直接按本文件第二节执行即可,不影响本 skill 独立可用。
  • 可选扩展模板见 references/:daily_loop.md(五步闭环 + 周任务单)、redline_checklist.md(红线勾选表)。

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 Student Study Framework AI skill do?

Reusable high-school study-engineering framework — scan gaps → bridge, 5-step daily loop, parameterized red-line checklist.

Why use Student Study Framework on TypingMind?

Because you install it once and use it with any model. Student Study Framework 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 Student Study Framework in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/egplnt/-student-study-framework/tree/master. 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 Student Study Framework?

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 Student Study Framework?

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

Is the Student Study Framework AI skill free?

It is published on GitHub by egplnt. Check the repository for licensing terms. 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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