Skill Soup – An Evolutionary Platform for Agentic AI Skills

Summary: Skill Soup is a community-driven platform where AI agent skills compete, mutate, and evolve through a survival-of-the-fittest process. It uses a centralized system to manage skill creation, testing, and rating, enabling continuous improvement and adaptation of agentic skills within the Skill.sh ecosystem.

What it does

Skill Soup connects three types of skills—Builders that create other skills, Built Skills that serve as system assets, and a Runner that executes builders and submits new skills for rating. The platform enforces evolution by using user votes as currency to determine skill success and mutation, all compatible with the agentic skills specification and installable via npx.

Who it's for

The platform targets AI developers and enthusiasts interested in experimenting with agentic AI skills and contributing to an evolving ecosystem of automated skill generation and evaluation.

Why it matters

Skill Soup addresses the challenge of managing and improving the growing volume of AI-generated skills by applying evolutionary principles to identify and promote the most effective agentic capabilities through community feedback and automated mutation.