<2-3 sentences summarising what the project addresses and solves, the target audience, and the benefit.> The guizang-material-illustration repository provides an AI-powered skill for generating explanatory illustrations and beautifying charts. It addresses the need for clear, central visuals in digital content, targeting users creating articles, presentations, and educational materials. The skill enhances communication by transforming concepts, data, or information into visually understandable diagrams with integrated Chinese labels.

How It Works

This skill operates as an AI Agent component, focusing on three functions: generating labeled "explanation diagrams" for concepts/processes, "beautifying" charts from screenshots/data into a clean material style, and creating "reference-assisted illustrations" for obscure topics by gathering references. It employs a restrained "Swiss editorial" aesthetic with soft 3D materials and clear spatial relationships, prioritizing direct, short Chinese labels within the image. The process involves input understanding, internal type judgment, optional reference gathering, prompt generation, image creation, and quality checks.

Quick Start & Requirements

Installation is via npx skills add https://github.com/op7418/guizang-material-illustration --skill guizang-material-illustration, or manual cloning to ~/.claude/skills/guizang-material-illustration. Designed for AI Agent environments (e.g., Claude Code/Codex), it lists no specific non-default software/hardware prerequisites beyond the agent's capabilities. Setup is immediate upon agent integration.

Highlighted Details

• Integrated Text Labels: Generates diagrams with short, direct Chinese labels, arrows, legends, and data annotations embedded within the image for clarity.
• Semantic Chart Redrawing: Re-renders charts from screenshots or data, preserving essential elements (type, axes, data, units) while optimizing for dissemination and understanding, rather than simple skinning.
• Reference-Assisted Generation: For niche concepts, brands, or devices, it first searches for factual and visual references before rendering in the unified Guizang material style.
• Visual Style: Employs a clean, editorial aesthetic with soft 3D rendering, clear spatial composition, and customizable theme colors (default IKB blue).

Maintenance & Community

The project welcomes contributions via Issues or Pull Requests, particularly for expanding chart types, providing case examples, and refining reference gathering and QA rules. Specific community channels (e.g., Discord, Slack) or active maintainer details are not detailed in the provided README.

Licensing & Compatibility

The README does not specify the project's license type or associated restrictions. Compatibility for commercial use or linking with closed-source projects cannot be determined from the provided text.

Limitations & Caveats

This skill generates central illustrations only, not full social card layouts, PPT structures, photo editing, or portraiture. It prioritizes Chinese labels and may not suit scientific figures requiring strict publication-grade data accuracy. Primary output targets Chinese content production.