Ian Xiaohei Svg Motion logo

Ian Xiaohei Svg Motion

CommunityPopular
Agentchengfeng
ian-xiaohei-svg-motion

Create Ian Xiaohei-style HTML/SVG motion illustrations for Chinese articles, scripts, storyboard scenes, workflow explanations, concept metaphors, and short video visual aids. Use when the user asks for 小黑 SVG、漫画感 HTML、分层 SVG 动效、把小黑生图做成 HTML/SVG、可编辑矢量动效、口播流程动画、手绘漫画动效、正文配图动画, or wants a Xiaohei illustration style adapted into controllable HTML/SVG/GSAP output instead of raster image generation.

Overview

PublisherAgentchengfeng
Repositorychengfeng-videocut-skills
Skill nameian-xiaohei-svg-motion
Stars
3K
Forks
385
Bundled files
32
LicenseApache-2.0
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.

  • 32 bundled files

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

  • Open source

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

Installation

Install the Ian Xiaohei Svg Motion 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.
  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/Agentchengfeng/chengfeng-videocut-skills.git /tmp/chengfeng-videocut-skills
mkdir -p .claude/skills
cp -r /tmp/chengfeng-videocut-skills/plugins/chengfeng-videocut/skills/chengfeng-visual/animation-styles/ian-xiaohei-svg-motion .claude/skills/ian-xiaohei-svg-motion
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ian Xiaohei Svg Motion 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 Ian Xiaohei Svg Motion 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 Ian Xiaohei Svg Motion 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.

Ian Xiaohei SVG Motion

把 Ian 小黑正文配图的原则,改造成可控的 HTML + SVG + GSAP timeline 动效。目标不是复刻生图像素,而是把文章里的一个认知动作重建成分层漫画舞台,方便录视频、按字幕 cue 对齐、后续改文案和元素。

Core Rule

Do not auto-vectorize a PNG and animate the resulting path soup. Use raster images only as composition references. Rebuild the scene as semantic SVG groups:

text
idea -> shot plan -> SVG layer plan -> HTML/SVG template -> GSAP timeline -> static + motion review

Workflow

  1. Extract one cognitive anchor from the article, script, screenshot, or storyboard scene.
  2. Choose one physical metaphor: sorting, carrying, bridging, leaking, catching, folding, weighing, opening, rerouting, or falling.
  3. Make Xiaohei perform the core action. If removing Xiaohei does not change the meaning, redesign.
  4. Design a 16:9 white canvas with one main scene, 35%+ whitespace, and 3-5 short handwritten annotations at most.
  5. Build semantic SVG groups for every moving object.
  6. Animate with GSAP timeline. Use x, y, rotation, scale, opacity, and SVG stroke drawing. Avoid layout animations.
  7. Save both a playable HTML page and a static review screenshot.
  8. If this is for a 口播成片 project, map timeline segments to subtitle/cue timing before final render.

Read When Needed

  • Read references/style-rules.md before designing a new scene or judging whether the result still feels like Ian Xiaohei.
  • Read references/svg-layering.md before writing or editing the SVG structure.
  • Read references/motion-rules.md before writing GSAP animation.

Output Contract

Default output folder:

text
output/<slug>-xiaohei-svg-motion/

Required files:

text
index.html
README.md
preview.png
vendor/gsap.min.js

Optional files:

text
source.png        # reference image, if provided by the user
cue-map.md        # when aligning to spoken script or subtitles

Reusable Assets

AI model and interface icons live in:

text
assets/icons/

Use assets/icons/index.json as the source of truth. Keep original SVG files in subfolders and inline their complete SVG content into scene SVGs during generation, so gradients, strokes, and brand colors are preserved.

Icon rules:

  • If index.json already has the exact model, provider, or semantic icon, use that icon. Do not replace ChatGPT, Claude, Flash lightning, Step, DeepSeek, Qwen, bug, table, chart, database, or web icons with generic boxes, stars, sparks, or abstract marks.
  • When the user provides a new SVG icon, save the raw SVG under assets/icons/<category>/, add an entry to index.json, and then reference it by id in the scene plan.
  • For comparison scenes, icon choice is part of the meaning. Keep model icons visually consistent in size and placement so the viewer can identify the actors before Xiaohei starts moving objects.

Template

Use assets/templates/xiaohei-comic-motion/ as the starter when the request resembles a hand-drawn comic scene with moving objects, arrows, annotations, or a Xiaohei action.

Use assets/templates/xiaohei-series-reference/ when the request asks for multiple variants, a reusable series, or a broader reference set for 口播 explanation scenes.

Copy the template into the project output folder, then edit:

  • SVG group names.
  • Handwritten labels.
  • Object positions.
  • Timeline labels and durations.
  • README notes for the scene-specific metaphor.

Quality Gate

Before final response:

  • Open the HTML in a local server.
  • Check console for errors.
  • Capture a static screenshot with ?static=1.
  • Capture at least one playback mid-frame when the scene has multiple beats. If available, use ?frame=mid for a deterministic review frame.
  • Visually inspect that text, arrows, Xiaohei, props, belts, pits, cards, and final impact points do not overlap.
  • Confirm the animation has visible progression: context first, action second, problem/result third, summary last.
  • Confirm annotations appear only after the object/action they explain.
  • Remove decorative or semi-transparent guide arrows if the object motion already shows direction.
  • Confirm Xiaohei is part of the action.
  • Confirm the page is not just a PNG in an <img> tag unless the user explicitly asked for PNG-only camera moves.

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 Ian Xiaohei Svg Motion AI skill do?

Create Ian Xiaohei-style HTML/SVG motion illustrations for Chinese articles, scripts, storyboard scenes, workflow explanations, concept metaphors, and short video visual aids. Use when the user asks for 小黑 SVG、漫画感 HTML、分层 SVG 动效、把小黑生图做成 HTML/SVG、可编辑矢量动效、口播流程动画、手绘漫画动效、正文配图动画, or wants a Xiaohei illustration style adapted into controllable HTML/SVG/GSAP output instead of raster image generation.

Why use Ian Xiaohei Svg Motion on TypingMind?

Because you install it once and use it with any model. Ian Xiaohei Svg Motion 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 Ian Xiaohei Svg Motion in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Agentchengfeng/chengfeng-videocut-skills/tree/main/plugins/chengfeng-videocut/skills/chengfeng-visual/animation-styles/ian-xiaohei-svg-motion. 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 Ian Xiaohei Svg Motion?

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 Ian Xiaohei Svg Motion?

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

Is the Ian Xiaohei Svg Motion AI skill free?

Yes. It is published on GitHub by Agentchengfeng under the Apache-2.0 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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