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Xiaohei Illustrations

CommunityPopular
dzhng
xiaohei-illustrations

Generate Ian-style Xiaohei illustrations for articles, posts, blogs, Notion documents, workflows, methods, processes, structures, states, metaphors, and opinions. Use when the user asks for weird, hand-drawn, Xiaohei, article, editorial, body illustrations, illustration ideas, shot lists, title removal, image edits, or image regeneration. By default, all image text and annotations are English, even when the source article is Chinese; only use another language when the user explicitly asks.

Overview

Publisherdzhng
Repositoryskills
Skill namexiaohei-illustrations
Stars
1.4K
Forks
85
Bundled files
19
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.

  • 19 bundled files

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

  • Open source

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

Installation

Install the Xiaohei Illustrations 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/dzhng/skills/tree/main/skills/graphics/xiaohei-illustrations
  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/dzhng/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/graphics/xiaohei-illustrations .claude/skills/xiaohei-illustrations
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Xiaohei Illustrations 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 Xiaohei Illustrations 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 Xiaohei Illustrations 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.

Xiaohei Illustrations

Purpose

Create 16:9 horizontal illustrations for article body sections and blog headers. The goal is not commercial illustration, a slide, or a cute cartoon. Turn the article's key judgment, process, structure, state, or metaphor into a clean, weird, creative, readable-but-not-instructional hand-drawn explanation.

The default visual IP is Xiaohei: a solid-black creature with white dot eyes, thin legs, and a blank expression, seriously doing something absurd but meaningful. Xiaohei must participate in the central action, not stand beside it as decoration.

Default language rule

All visible image text must be English by default. This includes labels, notes, signs, fictional UI text, and tiny annotations. Do not mix in Chinese or other languages unless the user explicitly requests another language.

Keep English labels short, natural, and correctly spelled. Prefer 2–5 words per label.

Read these references as needed

Do not load every reference unless the task needs it:

  • references/style-dna.md: visual style, color rules, text rules, and prohibitions.
  • references/xiaohei-ip.md: Xiaohei's appearance, personality, action library, and prohibitions.
  • references/composition-patterns.md: composition types, original-metaphor method, and anti-copying rules.
  • references/prompt-template.md: the single-image generation prompt template.
  • references/qa-checklist.md: post-generation checks and iteration rules.
  • assets/examples/: low-frequency visual calibration only. Do not copy the compositions, objects, or annotations from these examples.

Workflow

1. Understand the article

Read the user's article, link, Notion page, Markdown file, screenshot, or stated idea. Identify:

  • The core argument.
  • Which paragraphs carry a cognitive turn.
  • Which ideas benefit from an image.
  • Which parts should remain text-only.

Do not illustrate evenly. Prefer cognitive anchors: core judgments, breakpoints, input/output loops, forks, before/after contrasts, reuse paths, handoffs, common traps, and role-state changes.

2. Start with an illustration strategy

If the user asks only for analysis or illustration ideas, return a concise shot list first. For each proposed image, include:

  • Where it belongs in the article.
  • The image topic.
  • The core meaning.
  • The composition type.
  • What Xiaohei is doing.
  • Suggested visual elements.
  • Suggested English labels.

Default to 4–8 images. Use 1–3 for a short article. Avoid exceeding 9 unless the article truly needs it.

3. Generate one image at a time

If the user clearly asks to generate, output, make, or create images, do not stop for confirmation. Generate each image separately. Do not combine multiple illustrations into one image.

Each image explains one core structure. Every prompt must include:

  • 16:9 horizontal article illustration.
  • Pure white background.
  • Black hand-drawn line art.
  • Sparse red, orange, and blue handwritten English annotations.
  • Large areas of blank space.
  • Xiaohei as the central action-taker.
  • No PPT look, commercial illustration, childish cuteness, complex architecture, or top-left type title.

Do not copy prior examples. Examples only calibrate line density, restraint, and how Xiaohei participates. Unless the user explicitly asks to recreate a prior image, invent a fresh metaphor from the current article.

4. Check and iterate

After generation, inspect the image against references/qa-checklist.md. Regenerate or locally edit if any of these occur:

  • Xiaohei is only decorative.
  • The image is too crowded.
  • It looks like a flowchart or PPT slide.
  • There is too much text or misspelled English.
  • A top-left title appears, such as “workflow,” “system diagram,” or “common pitfalls.”
  • The style becomes cute, childish, rigid, or corporate.
  • The background is not clean white.

5. Save and deliver

When working in the workspace, save final images under a task-specific folder such as:

text
assets/<article-slug>-illustrations/

or the folder the user is already using for that article.

Name files in order:

text
01-topic-name.png
02-topic-name.png

Preserve original generated files. Do not overwrite existing assets unless the user explicitly asks for replacement.

Output style

Before generation, keep strategy output concise. After generation, report:

  • How many images were generated.
  • What each image is for.
  • Where the files are saved.
  • Which images are strongest and which are optional.

Do not over-explain style theory; let the images speak.

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 Xiaohei Illustrations AI skill do?

Generate Ian-style Xiaohei illustrations for articles, posts, blogs, Notion documents, workflows, methods, processes, structures, states, metaphors, and opinions. Use when the user asks for weird, hand-drawn, Xiaohei, article, editorial, body illustrations, illustration ideas, shot lists, title removal, image edits, or image regeneration. By default, all image text and annotations are English, even when the source article is Chinese; only use another language when the user explicitly asks.

Why use Xiaohei Illustrations on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/dzhng/skills/tree/main/skills/graphics/xiaohei-illustrations. 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 Xiaohei Illustrations?

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 Xiaohei Illustrations?

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

Is the Xiaohei Illustrations AI skill free?

Yes. It is published on GitHub by dzhng 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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