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Lanshu Animated Architecture Diagram

Community
cclank
lanshu-animated-architecture-diagram

Create premium hand-drawn architecture and process diagrams in the Lanshu animated GIF style, with editable .excalidraw files, static PNG previews, and genuinely animated GIFs with moving flow highlights. Use this skill whenever the user asks for 岚叔动态架构图, Excalidraw-like diagrams, DailyDoseOfDS-style black-background sketches, animated architecture/process GIFs, polished flowcharts, visual explanations of articles or system designs, or asks to replicate or improve a reference diagram with hand-drawn animated effects.

Overview

Publishercclank
Repositorylanshu-animated-architecture-diagram
Skill namelanshu-animated-architecture-diagram
Stars
995
Forks
119
Bundled files
9
LicenseMIT
Links
  • 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 cclank on GitHub. Read the source before you install it.

Installation

Install the Lanshu Animated Architecture Diagram 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/cclank/lanshu-animated-architecture-diagram/tree/main
  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/cclank/lanshu-animated-architecture-diagram.git \
  .claude/skills/lanshu-animated-architecture-diagram
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Lanshu Animated Architecture Diagram 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 Lanshu Animated Architecture Diagram 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 Lanshu Animated Architecture Diagram 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.

Lanshu Animated Architecture Diagram

Create a polished black-background hand-drawn technical diagram with:

  • Editable .excalidraw source
  • Static .png preview
  • Animated .gif with moving glow points and pulsing module highlights

Use the bundled renderer for deterministic output. Avoid external icon libraries unless the user explicitly provides audited assets.

Workflow

  1. Extract the diagram content.

    • For an article or long post, identify the core architecture, actors, stages, data flow, decisions, and final outputs.
    • For a reference image, preserve the visual grammar: title structure, panels, arrows, density, and signature placement.
  2. Create a spec JSON.

    • Start from assets/default-spec.json.
    • Keep labels short. Read references/spec-format.md when field details or copy length guidance are needed.
    • Use the user’s language for explanatory labels unless the reference style clearly calls for English titles.
  3. Render the outputs.

bash
python /path/to/skill/scripts/render_animated_diagram.py \
  --spec /path/to/spec.json \
  --outdir /path/to/output-dir \
  --basename descriptive-name \
  --verify \
  --check
  1. Validate before delivery.

    • Confirm GIF dimensions, FPS, frame count, and duration with ffprobe.
    • Use --verify output or --check to prove the GIF is not static.
    • Confirm .excalidraw JSON has unique IDs, text uses fontFamily: 5, and files is empty. --check validates these output contracts automatically.
    • Open the PNG preview visually and fix overlap, cramped text, or weak hierarchy.
  2. Deliver the three files.

    • Show the GIF preview when the interface supports local images.
    • Link the PNG and .excalidraw source.

Style Rules

  • Use a dark canvas with a thin outer rounded frame.
  • Use one highlighted title phrase in a green capsule.
  • Put the author signature in the top-right brand slot unless the user asks otherwise.
  • Prefer clean white main arrows. Use colored motion only in the GIF overlay.
  • Keep static diagrams restrained. Let animation add motion, not clutter.
  • Use short text. If a phrase cannot fit, rewrite it instead of shrinking until unreadable.
  • Use built-in simple icons: folder, file, scan, shield, db, hash, package.

Spec Authoring Hints

Map common content to the fixed layout:

  • inputs: source systems, triggers, documents, tools, or user actions
  • core.cards: the three main stages of the process
  • decision: the quality gate or readiness check
  • left_panel: memory/context/source material
  • center_panel: internal layers, safeguards, archive stores, or pipeline internals
  • right_panel: packaged outputs, reusable assets, generated reports, or agent-facing artifacts

If the subject has more than three stages, group adjacent steps into three core cards and move details into the lower panels.

Verification Commands

Use these checks after rendering:

bash
ffprobe -v error -select_streams v:0 -count_frames \
  -show_entries stream=width,height,r_frame_rate,avg_frame_rate,nb_read_frames \
  -show_entries format=duration \
  -of default=noprint_wrappers=1 output.gif
bash
python /path/to/skill/scripts/render_animated_diagram.py \
  --spec spec.json \
  --outdir outputs \
  --basename diagram \
  --verify \
  --check

The --verify report should show nonzero changed pixels between sampled GIF frames. The --check report should return "ok": true; it exits nonzero on contract failures.

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 Lanshu Animated Architecture Diagram AI skill do?

Create premium hand-drawn architecture and process diagrams in the Lanshu animated GIF style, with editable .excalidraw files, static PNG previews, and genuinely animated GIFs with moving flow highlights. Use this skill whenever the user asks for 岚叔动态架构图, Excalidraw-like diagrams, DailyDoseOfDS-style black-background sketches, animated architecture/process GIFs, polished flowcharts, visual explanations of articles or system designs, or asks to replicate or improve a reference diagram with hand-drawn animated effects.

Why use Lanshu Animated Architecture Diagram on TypingMind?

Because you install it once and use it with any model. Lanshu Animated Architecture Diagram 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 Lanshu Animated Architecture Diagram in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/cclank/lanshu-animated-architecture-diagram/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 Lanshu Animated Architecture Diagram?

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 Lanshu Animated Architecture Diagram?

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

Is the Lanshu Animated Architecture Diagram AI skill free?

Yes. It is published on GitHub by cclank 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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