Logo Design Skill Packages SVG Checks for AI Agents

The MIT-licensed logo-design-skill repository offers a staged logo-design workflow for agents such as Claude Code, Gemini CLI, and Codex CLI, enabling developers to progress from a brief to tested SVG concepts. The process starts with a brief and category research, followed by generating eight to 12 one-line concepts with three selected for SVG representation and testing before approval.

The workflow mandates a mandatory checkpoint where the agent showcases options in an overview image, suggests one, and waits for user approval or changes. This checkpoint is crucial, as it restricts the agent from generating the full kit without user approval, prioritizing reviewable intermediate work over unattended completion.

Apart from SVG concepts, the repository provides dependency-free Python tools for SVG auditing, PNG rendering, concept sheet assembly, and presentation board creation. It covers various checks like 16-pixel rendering, one-color and reversed variants, squint and mirror inspections, contextual mockups, and competitor shelf tests. Additionally, a reference library of over 1,400 real-world SVG logos is included, searchable via command line and browsable through a local gallery.

The skill follows the Agent Skills structure, with a SKILL.md file containing installation instructions for Gemini CLI, Codex CLI, and other compatible agents. The workflow emphasizes reviewability, which, while ensuring workability of a rejected concept, may limit time spent on unfinished ideas and disrupt batch or hands-off generation for some teams.

The repository presents 28 fictional briefs processed through the workflow across various sectors, demonstrating the process but not serving as independent validation of originality or professional design quality.