What problem does it solve? Turning educational content, biographies, or tutorials into engaging visual comics requires coordinating storyboarding, character design, style selection, and image generation, which is slow and inconsistent when done manually. ## Core Features & Use Cases - Structured Comic Pipeline: Analyzes source content, builds a storyboard and character definitions, writes per-page image prompts, then generates and downloads each page as a PNG. - Style System: Combines 6 art styles, 7 tones, 7 layouts, and 5 presets (ohmsha, wuxia, shoujo, concept-story, four-panel) with a content-signal auto-selection matrix. - Partial Workflows: Supports storyboard-only, prompts-only, images-only, and per-page regeneration modes for iterative refinement. - Use Case: Paste a technical tutorial and ask for an ohmsha-style educational manga; the skill produces analysis.md, storyboard.md, character definitions, prompt files, and downloaded page PNGs under comic/{topic-slug}/. ## Quick Start Create a knowledge comic from this article about neural networks using the ohmsha preset in portrait format.