What problem does it solve? Adding meaningful, stylistically consistent illustrations to articles requires deciding where images belong, what type of visual fits each section, and how to keep a unified aesthetic—work that is slow and inconsistent when done manually. ## Core Features & Use Cases - Content Analysis & Positioning: Analyzes article structure, extracts core arguments, and identifies positions where illustrations add value, avoiding literal metaphor depictions. - Type × Style System: Combines six illustration types (infographic, scene, flowchart, comparison, framework, timeline) with 20+ documented styles (notion, blueprint, watercolor, vector-illustration, etc.) via a compatibility matrix. - Structured Prompt Pipeline: Saves per-illustration prompt files with type-specific templates (ZONES / LABELS / COLORS / STYLE / ASPECT) before generation, supports reference images, watermarks, and user preferences via EXTEND.md. - Use Case: Given a technical tutorial on API design, the skill recommends infographic type with blueprint style, generates an outline of 3-5 illustrations, creates prompt files with actual metrics from the article, generates images, and inserts Markdown image references after the relevant paragraphs. ## Quick Start Ask the AI to illustrate your article by running the baoyu-article-illustrator skill on your Markdown file, for example with a chosen type and style such as infographic and blueprint.