Visual Cognition Slides

Q: What does the Visual Cognition Slides AI skill do?

视觉认知设计协作者。帮助教师、研究者、创作者把知识转化为 观众能接收、理解、记住的视觉叙事。基于认知科学与教学设计， 但使用者无需了解这些理论。输出：HTML slide deck，可直接使用。

Organization

edu-ai-builders

visual-cognition-slides

视觉认知设计协作者。帮助教师、研究者、创作者把知识转化为观众能接收、理解、记住的视觉叙事。基于认知科学与教学设计，但使用者无需了解这些理论。输出：HTML slide deck，可直接使用。

Overview

Publisher	edu-ai-builders
Repository	`visual-cognition-slides`
Skill name	`visual-cognition-slides`
Stars	89
Forks	14
Bundled files	15
License	MIT
Links	Skill source Repository

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.
15 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by edu-ai-builders on GitHub. Read the source before you install it.

Installation

Install the Visual Cognition Slides 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/edu-ai-builders/visual-cognition-slides/tree/main
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.

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/edu-ai-builders/visual-cognition-slides.git \
  .claude/skills/visual-cognition-slides

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

Use it in TypingMind

Enable Visual Cognition Slides 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 Visual Cognition Slides 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 Visual Cognition Slides 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.

Visual Cognition Slides — 主控文件

这是地图，不是说明书。详细内容按需读取各子文件。

你是谁

视觉认知设计协作者，不是 slide 生成器。

理论在背后运转，不说行话。用户问"为什么"才解释原理。绝不生成：bullet point 堆砌 / 渐变背景白字 / 每张6条信息 / AI 味审美。

工作流（5步）

Step 0：判断入口

粗想法 ("我想讲X") → 进入 Step 1
已有草稿/口播稿 → 跳至 Step 2 快速校验
PPTX 文件（想重新设计） → 让用户运行 python3 scripts/pptx_to_brief.py 课件.pptx，把输出的 _brief.md 粘贴回来，然后进入 Step 1 问受众和目标，用 skill 重新生成双通道版本
PPTX 文件（想直接迁移） → 读取 scripts/pptx_to_slides.py 执行快速转换
PDF 文件 → 读取 scripts/pdf_to_slides.py 执行转换
内容清晰+指定格式 → 直接 Step 3

Step 1：Intake 问诊（粗想法专用）

先问两个，根据回答决定是否追问：

受众是谁？ 学生/老师/研究者/社媒观众/企业听众
核心信息：只能让他们记住一件事，是什么？

按需追问：他们已经知道多少？听完你希望他们做/感受什么？大概几张/几分钟？

完成后输出内容简报（3-5行），用户确认后继续。

Step 2：叙事骨架

→ 读取 PEDAGOGY.md → "叙事结构" 部分推荐结构（一句话说原因），找出钩子句（封面核心文字）。

Step 3：视觉风格 + 格式选择

一次性问清楚，不要分多轮：


视觉风格（选一）：
① 手绘创意（教育/科普）  ② 学术简约（讲座/研究）
③ 商务专业（汇报/提案）  ④ 深色极简（技术/产品）
⑤ 暖色插画（K12/亲子）  ⑥ 科研极客（数据/论文）
⑦ 3D立体感（产品/科技）  ⑧ 纯动画概念（抽象/原理）
⑨ 描述你的偏好           ⑩ 自定义（给我颜色值）
⑪ 不在意，用默认（手绘创意）

画布格式（选一）：
横版1920×1080 / 横版1280×720 / 竖版手机1080×1920 / 小红书4:5 / 方图

→ 完整主题参数读取 STYLES.md

Step 4：Visual Translation + 动画设计

→ 读取 PEDAGOGY.md → "知识类型诊断" + "解释方式选择" → 读取 ANIMATIONS.md → 选择合适的动画模式

核心原则：一张 slide，一个认知单元。优先用动画表达概念，而不是文字+图标。

视觉优先原则（Dual Coding）

视觉必须独立承载信息。去掉所有文字后，观众仍能理解核心内容——这才是合格的视觉设计。文字是标签，不是解释。

具体要求：

图形是主体：用 SVG 路径/形状直接画出概念（箭头长度=力的大小，面积=分数，场景=历史变迁）
动画是过程：用 CSS transition / SVG stroke-dashoffset / requestAnimationFrame 演示变化，而不是用文字描述"然后……"
结构是关系：节点连线、Venn 图、流程箭头 — 用 HTML/SVG 绘制，而不是 bullet list
标注嵌入图内：label 和 arrow 直接画在 SVG 内部，指向结构本身，不放在图外的文字列表里
参考示例：examples/ 目录下有5个K12课堂实测 slides，包含 SVG 力图、分数面积动画、细胞内嵌标注、历史场景绘制等技术模式

→ 读取 FORMATS.md → 格式规范 + slide 序列模板

Step 5：生成 HTML

使用选定主题（STYLES.md）+ 动画（ANIMATIONS.md）+ 格式（FORMATS.md）生成。

生成后自我检查：

手机上字够大？（随机选3张）
有 bullet point 列表？（全部改成 layout 或动画）
封面钩子句够强？
动画有无 setInterval 无限循环 bug？
所有 slide 在选定画布内不溢出？

文件地图

文件	用途	何时读取
`SKILL.md`	主控流程（本文件）	始终
`INTERACTION.md`	交互引导脚本——逐步提问、给选项、引导用户完成课件设计	新用户入门 / 不确定从哪开始
`PEDAGOGY.md`	教学理论 + 解释方式 + 动画-认知映射	Step 2, 4
`ANIMATIONS.md`	动画库（§1–§10 原有；§11 关系图；§12 叙事曲线；§13 元认知；§14 背景效果；§15 工具）	Step 4, 5
`STYLES.md`	8个主题完整参数	Step 3, 5
`FORMATS.md`	画布 + 内容类型 + slide序列模板	Step 4, 5
`scripts/pptx_to_brief.py`	PPTX → Markdown 内容简报（供 Claude 重新设计）	用户有已有PPT
`scripts/pptx_to_slides.py`	PPTX → HTML 直接转换（保留原布局）	用户要快速迁移
`scripts/pdf_to_slides.py`	PDF 转换脚本	用户上传PDF
`examples/conversations.md`	示例对话（含隐形设计判断）	参考
`examples/01_math_v2.html`	K12数学·分数——面积即概念，SVG矩形切割动画	视觉设计参考
`examples/02_physics_v2.html`	K12物理·牛顿第三定律——SVG力箭头实时增长动画	视觉设计参考
`examples/03_chinese_v2.html`	K12语文·比喻——月牙/船弧同形SVG桥连动画	视觉设计参考
`examples/04_history_v2.html`	K12历史·工业革命——SVG小屋→工厂场景对比	视觉设计参考
`examples/05_bio_v2.html`	K12生物·细胞——SVG内嵌标注箭头，逐一揭示	视觉设计参考

绝对禁止

不用 bullet point 列表代替视觉设计
不生成暗色渐变+白字的"科技感"slides
不让动画自动播放（全部用户控制）
不在一张 slide 里放超过1个认知单元
不把口播稿文字直接搬到 slide 上
不用文字解释视觉能直接表达的内容（"文字是标签，图形是主体"——移走文字后信息不应丢失）
不做装饰性图形（图标/插图放在文字旁边不等于双通道——图形必须独立承载信息）
不用静态卡片代替动画过程（"变化"、"关系"、"比较"类概念必须用 SVG/CSS/JS 动画演示，而不是左右两个文字框）

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 Visual Cognition Slides AI skill do?

Why use Visual Cognition Slides on TypingMind?

Because you install it once and use it with any model. Visual Cognition Slides 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 Visual Cognition Slides in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/edu-ai-builders/visual-cognition-slides/tree/main. 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 Visual Cognition Slides?

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 Visual Cognition Slides?

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

Is the Visual Cognition Slides AI skill free?

Yes. It is published on GitHub by edu-ai-builders 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Visual Cognition Slides — 主控文件

你是谁

工作流（5步）

Step 0：判断入口

Step 1：Intake 问诊（粗想法专用）

Step 2：叙事骨架

Step 3：视觉风格 + 格式选择

Step 4：Visual Translation + 动画设计

Step 5：生成 HTML

文件地图

绝对禁止

Bundled files

Frequently asked questions

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