Researchers at Princeton University and UC San Diego found that skill libraries improve AI agents via structured workflows rather than expanded knowledge. However, performance drops as libraries grow because agents struggle to select the correct instructions. This creates a critical trade-off for developers. Scaling skill sets eventually hinders retrieval accuracy and degrades overall agent reliability.