Researchers at Princeton University and UC San Diego found that skill libraries improve agent performance via structured workflows rather than new knowledge. However, efficiency drops as libraries expand. Agents struggle to retrieve the correct instructions from larger sets. This creates a critical trade-off between agent versatility and retrieval accuracy for developers.