Anything2Skill: Compiling External Knowledge into Reusable Skills for Agents 事件

Anything2Skill: Compiling External Knowledge into Reusable Skills for Agents arXiv:2606.09316v1 Announce Type: new Abstract: Retrieval-augmented generation (RAG) enables agents to access external knowledge at inference time, but it primarily retrieves fragmented declarative evidence, leaving agents to repeatedly infer task procedures from passages, manuals, examples, logs, or trajectories. This raises a fundamental question: can skills extracted from external knowledge bases be installed into a