Skill Soup is an experimental platform that functions as an evolutionary arena where AI agent skills compete, mutate, and evolve through community-driven selection pressure. It creates a realistic simulation of a "survival of the fittest" environment for AI capabilities.

The platform allows community members to submit ideas for skills they want AI agents to build. Builders then compete to create these skills based on the submitted ideas. Users can install skills and apply selection pressure by upvoting and downvoting them, determining which skills survive and evolve further.

The platform operates through a three-step participation process: submitting skill ideas, running builders to generate skills, and using/voting on the resulting skills. This creates an evolutionary cycle where better skills survive and continue to evolve based on community feedback.

The primary benefit is the emergence of useful agent skills through natural selection rather than direct programming. The platform intentionally lacks safeguards to validate safety and security, creating a realistic evolutionary environment where users participate at their own risk.

Skill Soup targets AI builders, developers, and community members interested in emergent AI skill development. It integrates with AI agents through command-line tools and provides a community-driven approach to skill evolution.