What problem does it solve? Turning articles, biographies, tutorials, or technical explanations into engaging visual comics normally requires illustration skills and hours of layout work. This Skill automates the full pipeline from raw content to finished comic pages. ## Core Features & Use Cases - End-to-end comic pipeline: Analyzes source content, builds a storyboard with panel breakdowns, defines consistent characters, writes per-page image prompts, and generates PNG pages via the image_generate tool. - Flexible style system: Combines 6 art styles (ligne-claire, manga, realistic, ink-brush, chalk, minimalist), 7 tones, 7 layouts, and 5 presets (ohmsha, wuxia, shoujo, concept-story, four-panel) with a content-signal auto-selection matrix. - Partial workflows and regeneration: Supports storyboard-only, prompts-only, images-only, and per-page regeneration modes, with backup rules for existing outputs. - Use Case: Paste a tutorial on neural networks and ask for an ohmsha-style educational comic; the Skill produces analysis.md, storyboard.md, character definitions, prompt files, and downloaded PNG pages under comic/{topic-slug}/. ## Quick Start Ask the agent to create a knowledge comic from your pasted article or topic, for example: "Create an ohmsha-style educational comic explaining gradient descent from this text."