Researchers at Princeton University and UC San Diego found that skill libraries improve AI agents via structured workflows rather than expanded knowledge. Performance drops as these libraries grow. Agents struggle to retrieve the correct instructions from larger sets. This creates a critical trade-off between agent capability and retrieval accuracy for developers.