Individual skill
book-visuals
Book visual system: art bible and look lock, figure plan per chapter, code-rendered diagrams/charts/technical drawings, diffusion-generated illustrations and spot art, photo sourcing policy, cover, model-agnostic prompt compilation, vision QA, and asset validation for print and EPUB. Every image matches the book, the chapter, and the author's brief regardless of which image model renders it.
plugins/epicsagas/Velith/skills/book-visuals/SKILL.md
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- License
- Apache-2.0
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# Book Visuals
Goal: every image in the book looks like it belongs to this book, sits where the text needs it, and is release-ready on the first export. Images that vary with the model, drift between chapters, or decorate instead of doing work are the visual equivalent of AI prose tells.
Read `${CLAUDE_PLUGIN_ROOT}/skills/loom/quality-bar.md` (the visual section) and the genre skill's **Visuals** section.
## Why images go wrong, and the fix
| Cause | Fix in this pipeline |
|-------|----------------------|
| No shared visual spec; each prompt invents a style | `art-bible.md`: one canonical look, palette, medium, composition rules, character and setting constants, negative rules. Every prompt is derived from it |
| Free-form prompts differ per backend | `velith.mjs images compile`: one structured image spec → per-backend prompt syntax (Midjourney, gpt-image, Stable Diffusion/FLUX, Imagen, Ideogram) with the art bible baked in |
| Diagrams and drawings rendered by diffusion models | Never. Diagrams, charts, technical drawings, maps' base layers are **code-rendered** (Mermaid, D2, Graphviz, SVG, matplotlib/Vega) by `figure-engineer`. Text-accurate, editable, print-safe |
| No rejection loop | `art-director` reads every generated image (vision), scores it against the art bible, rejects and regenerates with corrected prompts; reviews the full contact sheet for consistency |