arXiv cs.AI
  • Score 81
  • Official

Skill Dreaming: Evolving Repository Skills through Pull Request Streams

arXiv:2610.36188v1 Announce Type: new Abstract: Large language model (LLM) agents increasingly rely on reusable skills for complex software engineering tasks, making skill libraries essential for repository development and maintenance. However, repository-specific skills must evolve with changing code structures, implementation conventions, and maintenance requirements. Pull requests (PRs) provide

So what

What this event means by reading role—not a longer recap.

  • BuilderIf you build coding agents, PR history may be a practical source for repo-specific skills that keep tests, docs, and conventions in sync.
  • ResearcherThe paper frames a co-evolution loop between PRs, repositories, and skills, offering a concrete setting for studying continual skill learning.

Score dimensions

Higher total means read first. Each bar is one factor we use to rank the system pool. How we score

RelevanceHow tightly this is about AI.
78
ImpactHow much this could change the field or the market.
55
NoveltyHow new this is versus a recap.
70
CredibilityHow much we trust the source.
92
ActionabilityWhether a reader can do something with it.
45