What problem does it solve?
Creating high-quality, publication-ready infographics from raw text or markdown is time-consuming and error-prone, especially when choosing an appropriate information layout and visual style while preserving source data verbatim. This Skill automates the content analysis, layout/style recommendation, structured content generation, and image production steps so creators can move from source material to a finished infographic faster and with consistent quality.
Core Features & Use Cases
- Layout × Style Engine: Matches content to 21 layout types and 20 visual styles and recommends 3–5 layout×style combinations.
- Content-First Workflow: Produces analysis.md, structured-content.md, and prompts/infographic.md while preserving all source data verbatim and extracting learning objectives.
- Publication Output: Writes a complete output bundle to Assets/Infographics/{topic-slug}/ including source file, analysis, structured content, prompts, and infographic.png.
- Integrated Image Generation: Calls the unified baoyu-image-gen command, observes backup rules, and relies on the shared .agents/skills/.env for model credentials with an automatic retry on failure.
- Use Cases: Timelines, technical schematics, high-density information posters, product guides, and social-ready summary images.
Quick Start
Run the baoyu-infographic skill with a Markdown file path so it analyzes the content, generates structured content and prompts, and produces a finalized infographic saved under Assets/Infographics/{topic-slug}/.