Skill Gateway: Intelligent skill selection system that reduces token consumption (github.com)

Skill Gateway has introduced a groundbreaking intelligent skill selection system designed to significantly reduce token consumption by an impressive 95%. This innovative API allows AI agents to efficiently find and execute the best skills for a given task. By querying the Skill Gateway with a task prompt, users can access comprehensive skill documentation and instructions, dramatically lowering the resource requirements—from over 125,000 tokens to just approximately 1,450 tokens for a single skill execution. This shift not only enhances performance but also cuts down on costs, making AI functionalities more accessible and efficient. For the AI/ML community, this development is significant as it streamlines the process of skill utilization, promoting faster and cheaper task execution without overwhelming system resources. With features including keyword matching, scoring, and ranking, the Skill Gateway API can instantly identify the most relevant skills and deliver high-quality recommendations. By simplifying the integration process—requiring no server setup or extensive configurations—developers can seamlessly leverage this technology, fostering greater innovation and application in the field of AI. The system is now live and available for immediate use at openskills.space/api/recommend-skill.