Researchers at Princeton and UC San Diego found that skill libraries improve agent performance via structured workflows rather than increased knowledge. Performance drops as these libraries grow, making it harder for agents to select the correct instructions. Developers must now balance skill depth against retrieval accuracy to prevent agent failure.