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Tufte Xiaohei Fusion

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quzhi-ai
tufte-xiaohei-fusion

把「小黑」手绘 IP 和 Tufte 图说融合成一张精美手机长图——小黑透明插画直接融在 Tufte 长图的瓷白底上, 给克制的信息设计注入叙事和情绪。当用户说「把小黑融进图说/长图」「Tufte 加小黑」「小黑长图」 「给这篇文章配小黑 + 做成长图」「图说里加小黑」「小黑融合长图」,或已经在用 tufte-viz 做长图、 又想加入小黑角色时,都用这个 skill。它是 tufte-viz(信息层) 与 ian-xiaohei-illustrations(角色层) 的 融合工作流,不是替代——两个母 skill 仍按需读取。适合 AI、方法论、成长、教育、创作者内容; 企业品牌或严肃业务物料应先遵守对应品牌规范。

Overview

Publisherquzhi-ai
Repositorytufte-xiaohei-fusion
Skill nametufte-xiaohei-fusion
Stars
58
Forks
4
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 quzhi-ai on GitHub. Read the source before you install it.

Installation

Install the Tufte Xiaohei Fusion 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/quzhi-ai/tufte-xiaohei-fusion/tree/main/skill/tufte-xiaohei-fusion
  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/quzhi-ai/tufte-xiaohei-fusion.git /tmp/tufte-xiaohei-fusion
mkdir -p .claude/skills
cp -r /tmp/tufte-xiaohei-fusion/skill/tufte-xiaohei-fusion .claude/skills/tufte-xiaohei-fusion
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Tufte Xiaohei Fusion 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 Tufte Xiaohei Fusion 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 Tufte Xiaohei Fusion 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.

Tufte × 小黑 融合长图

一句话定位

一张手机长图里,Tufte 负责骨架和证据(讲清、让人信),小黑负责钩子和情绪(勾住、打动)。 不是把两种风格混在一张图上(那会两败俱伤——小黑要留白,Tufte 要密度),而是分工 + 融入: 小黑做成透明 PNG,直接浮在 Tufte 长图的瓷白底上,和正文卡片共享同一套配色。

这套方法和决策来自已验证样例(assets/example/)和多轮版式迭代,不是凭空设计。

铁律(先读,违背即失败)

  1. 小黑只在「认知锚点」出现,绝不当装饰。 一张长图最少 3 个锚点,但小黑是稀缺情绪点, 放在核心判断 / 转折 / 金句处。判断标准:去掉小黑图的隐喻还完全成立 → 它太装饰了,重做。
  2. 小黑绝不替数据说话。 凡涉及对比、比例、趋势、精确数字 → 必须走 Tufte 矢量层, 一个像素都不让 AI 乱画。小黑只用在「判断/情绪/转折」这种没有精确数据的地方。 这是 Tufte 的命根子(诚实/lie factor=1),怪诞隐喻一旦扭曲数据,整张图的可信度就塌了。
  3. 配色走 A:一长图一调色板,小黑入乡随俗。 长图可用 tufte-viz 全部调色板(按题材/tone 选, 见 tufte-viz/references/color-palettes.md),不锁死任何一种。 无论选哪套版式:
    • 小黑身子恒为黑——这是 IP 识别度,跨版式不变;
    • 小黑的 accent 配饰 / 路径 / 手写标注颜色 = 当前版式调色板的那一个 --accent (Indigo Porcelain→橙 #b8542e;Kraft Paper→酒红 #a83a2e;Forest Ink→#a8482c;Monocle→#c1442e…);
    • 小黑透明 PNG 直接铺在该版式的 --paper 底色上。 一句话:换版式 = 换 --paper + 换小黑配饰/标注的 accent 色,小黑的黑身子不动。两层共享一套色板才统一。 不要用小黑母 skill 默认的红/橙/蓝三色乱配——融合场景只用"黑 + 当前版式那一个 accent"。
  4. 小黑透明融入,不套白卡。 抠成透明 PNG 直接铺在 --paper 底色上,黑身子和 accent 配饰浮在纸面; 不要给它套一个白底卡片(曲直明确否过白卡)。
  5. 小黑要胖,可以卖萌。 提示词强调 round / chubby / plump 的黑豆身子 + 细腿 + 白点眼; 表情可爱 / 卖萌是 OK 的(曲直说可以萌)——这条覆盖母 skill ian-xiaohei 默认的 "deadpan / not cute"。 但别滑到复杂服装 / 儿童卡通 / 精致商业吉祥物那种。瘦小黑不要。

工作流

1. 消化正文,选锚点

读全文,提炼核心观点和认知转折。挑 ≥3 个最适合小黑的「认知锚点」,给每个锚点想一个 怪诞但成立的单一隐喻(一图一结构)。其余内容保持纯 Tufte。

2. 设计「图元 × 小黑动作」

这是融合的核心资产。每个锚点定:小黑做什么动作、和哪个数据/结构元素互动、accent 焦点是什么、 2 个内的手写中文标注。详见 references/glyph-action-map.md(按隐喻类型查动作)。

3. 先搭 Tufte 数据层

用 tufte-viz 的 mobile 模式把长图骨架做出来(卡片、条/轴/节点、数字、标注), 给小黑预留位置。先按题材/tone 从 tufte-viz 的 17 套调色板选版式(AI/方法论→Indigo Porcelain; 育儿/温暖→Kraft Paper;教育/自然→Forest Ink;通用→Monocle…),记下这套版式的 --paper 和 --accent, step 4 生成小黑时要用到 accent(见铁律 3)。同一篇内容也可换不同版式出多版。

先读母 skill:tufte-viz(信息层规范) 和 ian-xiaohei-illustrations(小黑 IP 形象/禁忌/提示词模板)。

4. 生成小黑(每锚点一张)

用 ian-xiaohei 的纯净版脚本单独生成,提示词在母 skill 模板基础上加三条融合约束(覆盖母模板冲突项):

  • 胖身子可卖萌:round/chubby/plump 黑豆身 + 细腿 + 白点眼;表情可爱/萌 OK(覆盖母模板 deadpan/not-cute)。
  • 配色 A:小黑身恒黑;唯一 accent = 当前版式的 --accent hex(把那套调色板的 accent 色填进提示词, 例 #b8542e),用在焦点物件/路径 + 手写标注;无红蓝、无其它色。
  • 抠图友好:纯白底、≤2 短标注、无左上角标题。
bash
<your-image-generator> "<提示词>" -s 16:9 -r 2k -o assets/<name>.jpg

若使用远程图片生成 API,轮询端点偶发失败很常见 → 必须带重试循环(见 pitfalls)。不要一次失败就误判为彻底不可用。

5. 抠透明

bash
python3 scripts/cutout_transparent.py assets/<name>.jpg assets/<name>.png

脚本从四边 floodfill 抠外部白、保留内部白(眼睛/靶心)。脚本会自检"内部白保留=0"并告警。

6. 融入长图

在 Tufte HTML 里,每个锚点处插一个透明 band(无白卡):

html
<div class="bband"><img src="assets/<name>.png" alt=""></div>
css
.bband{margin:14px auto 6px;padding:0;}
.bband img{display:block;width:92%;max-width:340px;height:auto;margin:0 auto;}

务必给 img 宽度约束(width/max-width + 居中)——无约束的 img 会按原图尺寸撑开冲出页面。

7. 渲染 + 自检 + 交付

bash
python3 scripts/render_longimage.py mobile.html 输出_长图.png --paper 241,243,245

脚本渲染 + 按 paper 色裁切,并自检"最宽行 vs 列中位宽"报溢出。 视觉判断必须人眼复核:自动化只能做确定性自检(白底/黑线/橙焦点/标注无错字/胖瘦 bbox/无溢出), 最终好不好看必须看成图再定。

落款(对外作品)

长图为对外 IP 作品,禁标技法 footnote,也不要把曲直写成原内容作者。默认落款只放:

长图生成 by 曲直

若内容来自他人分享、会议、逐字稿或外部材料,可另起一行写清原文/来源;但不要把曲直写成原内容作者,除非用户当场另行指定。

深入参考

  • references/glyph-action-map.md — 图元 × 小黑动作映射表(设计锚点互动时查)
  • references/workflow-and-pitfalls.md — 完整管线细节 + 今天踩过的坑(溢出 bug / SSL 重试 / 无法读图的 QA / 删元素要 CSS+HTML 成对删)
  • assets/example/ — 《如何给 AI 下指令》验证样例(HTML + 三小黑成图),低频视觉校准用,不要照抄构图

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 Tufte Xiaohei Fusion AI skill do?

把「小黑」手绘 IP 和 Tufte 图说融合成一张精美手机长图——小黑透明插画直接融在 Tufte 长图的瓷白底上, 给克制的信息设计注入叙事和情绪。当用户说「把小黑融进图说/长图」「Tufte 加小黑」「小黑长图」 「给这篇文章配小黑 + 做成长图」「图说里加小黑」「小黑融合长图」,或已经在用 tufte-viz 做长图、 又想加入小黑角色时,都用这个 skill。它是 tufte-viz(信息层) 与 ian-xiaohei-illustrations(角色层) 的 融合工作流,不是替代——两个母 skill 仍按需读取。适合 AI、方法论、成长、教育、创作者内容; 企业品牌或严肃业务物料应先遵守对应品牌规范。

Why use Tufte Xiaohei Fusion on TypingMind?

Because you install it once and use it with any model. Tufte Xiaohei Fusion 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 Tufte Xiaohei Fusion in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/quzhi-ai/tufte-xiaohei-fusion/tree/main/skill/tufte-xiaohei-fusion. 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 Tufte Xiaohei Fusion?

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 Tufte Xiaohei Fusion?

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

Is the Tufte Xiaohei Fusion AI skill free?

Yes. It is published on GitHub by quzhi-ai 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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