Show HN: Skill Federation –private search across 87k skills for AI coding agents (github.com)

Skill Federation has launched a private search tool enabling AI coding agents to access a catalog of 87,000 skills while prioritizing user privacy. The tool enhances the performance of coding agents, improving success rates on over 26,000 coding tasks from 17.5% to 22.8% by allowing agents to identify and utilize existing skills scattered throughout the open-source ecosystem without transmitting sensitive project data outside the user's machine. Instead of sending detailed tasks, agents communicate abstract wishes describing the skills needed, ensuring no project specifics are ever shared. This innovation is significant for the AI/ML community as it addresses a major hurdle in skill discovery: the integration of numerous capabilities while maintaining user data privacy. Skill Federation leverages a pre-scanned registry of vetted skills, reducing the risk of adopting potentially vulnerable or malicious code often found in public repositories. Moreover, it offers a native and easy installation process, requiring minimal system resources. With robust privacy measures and a focus on user trust, Skill Federation sets a new standard for safe and effective skill utilization in AI development.