A new method called Reasoning Primitive Induction enhances the performance of ReAct-style LLM agents by mining and clustering successful reasoning moves into a library of pseudo-tools, leading to significant improvements in various tasks. This approach outperforms the original agents and existing methods while reducing inference costs.