You Bought the AI Licenses. Why Is Only One Developer Getting 10x Results?

Organizations are facing a challenge where only a minority of developers are realizing the full potential of AI tools like Cursor, Claude, and Copilot, despite widespread access and investment. This discrepancy is not due to differences in effort or talent but rather the effective customization and context provided to the AI by these high-performing developers. While the AI tools themselves are becoming commoditized, the knowledge on how to optimize these tools remains fragmented and difficult to share. Companies like Confluent and Rapid7 have identified a "power law distribution of effectiveness," where a small group of developers achieves significantly better results. Meanwhile, organizations struggle to effectively distribute this specialized knowledge across all teams due to the lack of centralized governance and infrastructure. The proposed solution, Skills.new, aims to bridge this gap by offering a platform to define, categorize, and distribute AI knowledge across tools and repositories, ensuring the right context reaches the right developers while maintaining governance and auditability. This platform seeks to transform isolated, undocumented expertise into a structured asset that boosts productivity across the entire organization.