Logo Design Skill Gives AI Agents a Structured SVG Workflow

AI agents often produce logo SVGs with too many colours, excessive path complexity, weak small-size legibility and familiar visual clichés. The open-source logo-design-skill project addresses those defects with a reusable design workflow for Claude, Gemini CLI, Codex and other agents that support the Agent Skills format.

The repository packages design principles, concept development, SVG guidance, testing scripts and a library of more than 1,400 reference marks. An agent loads the skill from skills/logo-design/, where SKILL.md defines its instructions and workflow. The scripts require Python 3.8 or later and use only the standard library.

The MIT license covers the project’s code and documentation. Reference SVGs depict trademarks owned by their respective companies and remain outside that license.

From Brief to Checkpoint

Each run progresses through a brief, category research, concept development, technical testing and a review checkpoint. At that checkpoint, the agent assembles the concepts into a single overview image, recommends a direction and offers to produce the full identity kit. Final deliverables wait until the user selects a concept, which limits unnecessary rendering and iteration.

Category research draws on the reference library and eighteen fictional briefs with explicit restrictions. A SaaS brief excludes chat bubbles, charts and padlocks; finance excludes coins, piggy banks and generic bank blue; health excludes crosses, pills and heartbeat lines. These constraints steer concept generation away from symbols already saturated within each sector.