Rohan Paul Shares SkillGLoW arXiv Paper

Rohan Paul, a Bengaluru-based machine learning engineer, Kaggle Master, YouTuber, and writer of a daily AI newsletter, replied with a link to the arXiv paper titled SkillGLoW: Procedural-Family Skill Consolidation for Self-Improving Agents on Long-Horizon Task Streams. The post text states that LLM agents increasingly self-improve by writing and reusing textual skills, kept either as one global document or as a flat pool of per-task entries, though most of the evidence comes from domains.