Agent skill

Flowchart

by Unclecheng-li in Unclecheng-li/AI_Animation

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。

MITAuto-check passedDevelopment

Install Flowchart

skills CLI
$ npx skills add Unclecheng-li/AI_Animation --skill flowchart -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Unclecheng-li/AI_Animation flowchart --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Unclecheng-li/AI_Animation.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/flowchart .claude/skills/flowchart && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
flowchart
GitHub stars
1.4k
Token cost
~616 tokens
SKILL.md length
183 words
Files
11 (incl. references, assets)
Skills in repo
12
Repo updated
First seen
Licence
MIT

At a glance

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。

  • Works in 4 steps: 确定演示对象 → 选择图表类型 → 生成标准 → …
  • Tasks that involve Diagrams
  • SKILL.md covers 你是什么, 支持的图表类型, 核心工作流 and 参考示例
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Flowchart is an agent skill from Unclecheng-li/AI_Animation. 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。

Its SKILL.md is about 620 tokens, which your agent loads only when the skill is triggered. The skill folder holds 12 other files, including reference files and assets (for example `README.md` and `references/prompts.md`).

It sits in Development, covering Diagrams. The repository describes itself as: 本项目整理了用于生成[炫酷 HTML 动画网页]的 AI Prompts,涵盖动画效果、3D 可视化、PPT 风格演示、UI 美化等多个类别。 The licence is MIT.

When your agent uses it

  • Tasks that involve Diagrams

Example prompts

  • “/flowchart”

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. 确定演示对象
  2. 选择图表类型
  3. 生成标准
  4. 输出

What it can do on your machine

Read from SKILL.md and the folder at commit d9c521f. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Flowchart loads about 616 tokens when it runs, and up to ~1.6k if it reads all its reference files. Until then it costs about 27 tokens; SKILL.md has 183 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~27
When it runs · the whole SKILL.md, loaded when a task matches
~616
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.6k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from Unclecheng-li/AI_Animation at commit d9c521f, republished under its MIT licence (© Unclecheng-li). 183 words, ~616 tokens.

Download SKILL.mdSave it as .claude/skills/flowchart/SKILL.md (or your agent's skills folder). This skill also uses 10 other files; get the full folder from GitHub.
name
flowchart
description
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。
version
0.2.0
triggers
流程图, 概念图, 原理演示, 示意图, 神经网络演示, AI 模型可视化, flowchart, flow diagram

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:

  1. 文件保存路径
  2. 图表类型 + 包含的节点/步骤数量
  3. 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

© Unclecheng-li, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 10 other files (references, assets) in skills/flowchart of Unclecheng-li/AI_Animation.

  • SKILL.md
  • README.md
  • assets/GPU.html
  • assets/GRU-Introduce.html
  • assets/LSTM-1.html
  • assets/LSTM-Introduce.html
  • assets/MLP.html
  • assets/RNN.html
  • assets/onehot.html
  • assets/word2vec.html
  • references/prompts.md

Open the folder on GitHubat commit d9c521f

Compare with similar skills

Flowchart next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Flowchart compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Flowchart this skillUnclecheng-li/AI_Animation1.4k—~616Automated safety check: PassMIT
Architecture Diagramsmallnest/pigo4741 repos~1.6kAutomated safety check: PassMIT
HTML Diagramplannotator/effective-html3.6k—~678Automated safety check: PassMIT
Process Flow DiagramCocoon-AI/process-flow-diagram-generator102—~4.3kAutomated safety check: PassMIT
Architecture Diagrammateaix/mateclaw1.1k5 repos~1.7kAutomated safety check: PassApache-2.0
Whatissuyuan2022/suyuan-skill269—~606Automated safety check: PassMIT

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Questions about Flowchart

What does Flowchart do?

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。. Flowchart is an agent skill from Unclecheng-li/AI_Animation.

When should I use Flowchart?

Flowchart fits situations like: tasks that involve Diagrams.

How do I install Flowchart in Claude Code?

Run `npx skills add Unclecheng-li/AI_Animation --skill flowchart -a claude-code`. Or copy the skill folder (skills/flowchart in Unclecheng-li/AI_Animation) into .claude/skills/flowchart in your project. Claude Code loads it when a task matches its description.

How do I install Flowchart in Codex?

Run `npx skills add Unclecheng-li/AI_Animation --skill flowchart -a codex`. Or copy the skill folder (skills/flowchart in Unclecheng-li/AI_Animation) into .agents/skills/flowchart in your project. Codex loads it when a task matches its description.

Can I use Flowchart in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Unclecheng-li/AI_Animation --skill flowchart -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/flowchart, .gemini/skills/flowchart, .github/skills/flowchart and .opencode/skills/flowchart in your project.

What does Flowchart need to run?

SKILL.md names no scripts, command-line tools or credentials: Flowchart is instructions for the agent only.

Does Flowchart access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Flowchart safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Flowchart use?

Flowchart is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Flowchart use?

About 616 tokens (SKILL.md is roughly 2.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1k tokens, read only when the agent opens those files.

What are the alternatives to Flowchart?

Skills that share tags, products or a category with Flowchart: Architecture Diagram (smallnest/pigo, 474 stars), HTML Diagram (plannotator/effective-html, 3.6k stars), Process Flow Diagram (Cocoon-AI/process-flow-diagram-generator, 102 stars) and Architecture Diagram (mateaix/mateclaw, 1.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Flowchart?

Unclecheng-li (a GitHub user) maintains it in Unclecheng-li/AI_Animation, which has 1,450 GitHub stars. The repository holds 12 skills in this directory. The repository was last updated on October 5, 2026.

Source: Unclecheng-li/AI_Animation on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.