What problem does it solve? Creating a cohesive logo suite requires design expertise and tedious manual work to keep every variant (mark, wordmark, icon, favicon, monochrome versions) geometrically consistent. This Skill automates brand research, style selection, and SVG generation so a project gets a complete, consistent logo package in one workflow. ## Core Features & Use Cases - Project Context Analysis: Reads README, package.json, pyproject.toml, and brand kit files to detect product identity, project type, audience, and existing color palettes. - Seven SVG Deliverables: Produces logo-mark, logo-full, logo-wordmark, logo-icon, favicon, logo-white, and logo-black in /assets/logo/, all derived from one canonical mark so path geometry stays identical across variants. - Validation & Showcase: A reviewer agent checks viewBox attributes, raster-free vectors, and cross-file path consistency, then generates a self-contained brand-showcase.html with palette, typography, and Tailwind config. - Use Case: A developer launching a CLI tool runs the skill in the repo; it detects the tool's name and type, proposes a dark/neon-green style, and outputs all seven SVGs plus a brand identity page ready to commit. ## Quick Start Ask the AI to design a logo for the current project using the logo-designer skill and confirm the wordmark casing when prompted.
