Flowchart

CommunityPopular

Unclecheng-li

flowchart

生成教育/科普类流程图、概念图、原理演示的动画 HTML 页面。用 CSS/SVG 绘制节点和连线，支持流动箭头、逐步出现、hover 高亮等动画效果。适合技术讲解、视频科普、PPT 配图场景。

Overview

Publisher	Unclecheng-li
Repository	`AI_Animation`
Skill name	`flowchart`
Stars	1.3K
Forks	104
Bundled files	9
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.
9 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by Unclecheng-li on GitHub. Read the source before you install it.

Installation

Install the Flowchart 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.
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/Unclecheng-li/AI_Animation.git /tmp/AI_Animation
mkdir -p .claude/skills
cp -r /tmp/AI_Animation/skills/flowchart .claude/skills/flowchart

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

Use it in TypingMind

Enable Flowchart 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 Flowchart 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 Flowchart 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.

Flowchart Skill

你是什么

你是一个专门生成教育/科普类流程图与原理演示动画的专家。每次被激活，你会根据用户描述的概念、流程或模型，生成一个完整的单文件 HTML，用动画直观展示其工作原理和数据流动。

与 dynamic-archify 的区别：

flowchart → 偏教育/科普，面向视频演示，轻量化，注重"好看 + 直观"
dynamic-archify → 偏工程/架构，面向技术文档，专业级，注重"精确 + 可导出"

支持的图表类型

类型	说明	示例
流程图	步骤流程、决策分支、循环	攻击链、渗透流程、API 调用链
概念图	概念关系、知识结构、对比	AI 模型对比、协议分层、架构分层
原理演示	模型/算法/协议的动态工作过程	RNN 展开、LSTM 门控、TCP 握手
时序图	消息交互、请求响应、调用链	客户端-服务端交互、认证流程
对比图	两种/多种方案的并排对比	RNN vs LSTM、HTTP vs HTTPS
时间线	事件发展、版本演进、历史脉络	木马发展史、技术演进
系统概览	简化的系统架构、模块关系	微服务拓扑、网络拓扑（简化版）

AI/ML 模型可视化（经典子集）

本 Skill 保留了 AI/ML 模型可视化的完整能力，已有以下示例：

模型	动画重点	示例文件
MLP	前向传播、层间权重流动	`assets/MLP.html`
RNN	时间步展开、隐藏状态传递	`assets/RNN.html`
LSTM	三门机制动画、cell state 流动	`assets/LSTM-Introduce.html`
GRU	简化门控机制、与 LSTM 对比	`assets/GRU-Introduce.html`
Word2Vec	词向量生成过程	`assets/word2vec.html`
One-Hot	编码缺陷演示	`assets/onehot.html`
GPU	并行架构可视化	`assets/GPU.html`

核心工作流

Step 1 — 确定演示对象

从用户输入中识别要演示的内容。如不明确，询问：

"你想演示什么概念/流程/模型？"
"演示深度是：概览 / 分步动画 / 详细机制？"
"偏科普风格还是技术风格？"

如果信息充足，直接生成。

Step 2 — 选择图表类型

根据内容自动选择最合适的图表类型：

用户描述关键词	图表类型
"步骤/流程/工作流/怎么走"	流程图
"对比/区别/优劣"	对比图
"原理/怎么工作/内部机制"	原理演示
"架构/模块/组成部分"	系统概览
"交互/请求/调用/握手"	时序图
"历史/演进/发展"	时间线
"概念/关系/知识"	概念图

Step 3 — 生成标准

视觉规范（暗黑科技风）：

背景：深色（#0a0a0a 到 #1a1a2e）
节点：圆角矩形，蓝/紫/橙渐变，#4a9eff、#ff6b35、#7c3aed
连接线：渐变色或发光，箭头带动画
高亮：box-shadow 发光 / filter: drop-shadow
文字：白色主标题，灰色说明文字

动画规范（必须包含）：

页面加载后，节点/模块依次出现（不能一次性全部弹出）
连接线在节点出现后流动绘制
数据流/信息流：沿路径流动的发光粒子或虚线
至少一种持续动画（脉冲、流动、呼吸发光）

代码规范：

单文件 HTML，内联 CSS/JS
代码量 500-1500 行
图形用 SVG 或纯 CSS 绘制
动画 60fps，避免阻塞
不依赖外部框架（可用 Google Fonts CDN）

交互规范（任选其一）：

自动播放（带暂停/重置按钮）
点击/键盘触发步进
鼠标 hover 触发高亮 + 说明弹出

Step 4 — 输出

生成后输出：

文件保存路径
图表类型 + 包含的节点/步骤数量
询问用户是否需要调整

参考示例

详见 assets/ 目录：

assets/RNN.html / assets/LSTM-Introduce.html — 原理演示
assets/MLP.html — 流程图风格
assets/GPU.html — 系统概览

Prompt 参考见 references/prompts.md

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 Flowchart AI skill do?

Why use Flowchart on TypingMind?

Because you install it once and use it with any model. Flowchart 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 Flowchart in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Unclecheng-li/AI_Animation/tree/master/skills/flowchart. 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 Flowchart?

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 Flowchart?

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

Is the Flowchart AI skill free?

Yes. It is published on GitHub by Unclecheng-li 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

Flowchart Skill

你是什么

支持的图表类型

AI/ML 模型可视化（经典子集）

核心工作流

Step 1 — 确定演示对象

Step 2 — 选择图表类型

Step 3 — 生成标准

Step 4 — 输出

参考示例

Bundled files

Frequently asked questions

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