Researchers introduced SkillGym, a pipeline to train skill-use agents with verifiable environments. The pipeline crawls skills from the internet, builds difficulty-controlled tasks, and collects verified trajectories for supervised finetuning. This improves LLM performance on skill-use benchmarks.