What problem does it solve? When generating multiple hand-drawn illustrations of the same character across slides or scenes, AI image models drift in identity, style, and expression. This Skill locks the character's identity, line mode, palette, and expressions so every cut reads as the same person in the same art style. ## Core Features & Use Cases - Anchor-Based Identity Lock: Creates an approved anchor image from the user's character reference plus style-lock assets, then generates every scene from that same anchor in a star pattern instead of chained edits. - Style and Expression Control: Enforces clean or rough line modes, flat coloring, white backgrounds, and per-scene emotions with no default smile. - Plan Validation: Validates a JSON generation plan with a Python script before any image is created, checking paths, references, emotions, and object counts. - Use Case: A course creator needs six slide illustrations of the same cartoon character showing different emotions; the Skill produces a validated plan, an approved anchor, and six consistent cuts. ## Quick Start Use the handdrawn-character-lock skill to generate a five-scene hand-drawn illustration series from my character reference image at ./character.png in clean line mode.
