The Skill Library That Could Read but Couldn’t Run
TL;DR for operators A system can discover agent “skills” that look coherent to humans and still fail to make an agent more capable. That is the useful result of Automating SKILL.md Generation for Computer-Using Agents via Interaction Trajectory Mining.1 The authors build a pipeline that cuts GUI interaction histories into segments, clusters those segments into candidate routines, generates explicit skill specifications, and trains a Qwen3-8B policy with Group Relative Policy Optimization, or GRPO, to compose the resulting skills. ...