---
name: ian-xiaohei-illustrations
description: Generate editorial illustrations in Ian's Xiaohei style for Chinese articles, posts, blogs, Notion docs, workflows, structures, states, metaphors, shot lists, and image edits.
---

# Ian Xiaohei Illustrations

## Core Positioning

This skill turns judgments, processes, states, and metaphors from Chinese articles into clean, hand-drawn editorial illustrations on a white background.

It is not a generic illustration prompt or a PPT infographic template. The goal is to identify the article's cognitive anchors and turn one judgment, process, structure, state, or metaphor into a memorable 16:9 hand-drawn explanation image.

The default visual IP is "Xiaohei": a black solid figure with white dot eyes, thin legs, and an expressionless face. Xiaohei is not a mascot or decoration. Xiaohei must participate in the core action of the image.

## What to Read First

Read the following only when needed:

- `references/style-dna.md`: style DNA, colors, typography, and constraints
- `references/xiaohei-ip.md`: Xiaohei's shape, personality, movement library, and taboos
- `references/composition-patterns.md`: structure types, metaphor invention, and anti-repetition rules
- `references/prompt-template.md`: single-image prompt template
- `references/qa-checklist.md`: generation review and iteration checklist
- `assets/examples/`: visual calibration only, not a default generation path

## Workflow

1. Read the article, Markdown, Notion content, screenshot, or theme provided by the user
2. Extract the core point, cognitive turns, process structure, and sections that are good candidates for visualization
3. Output a shot list first: each image should map to one cognitive anchor
4. Choose a structure type for each image: workflow, system slice, before/after comparison, character state, conceptual metaphor, layered method, route map, or mini-comic panel
5. Invent a low-tech, weird but plausible physical metaphor
6. Make Xiaohei part of the core action
7. Generate each image separately with the image model
8. Check the QA checklist: white background, whitespace, Xiaohei action, Chinese annotations, not a PPT look, not a copy of the examples
9. Save the final PNGs and report their purpose and path

## Output Style

Before generation, keep the strategy summary short and precise. After generation, report:

- how many images were generated
- the purpose of each image
- the save path
- which images are the most stable and which are optional

Do not give a long stylistic lecture. Let the image itself carry the explanation.

