papersTODAY 04:00 UTC
RESKILL framework links failure explanations to skill repairs in language agents
A new arXiv paper proposes RESKILL, a method for repairing language agents that relies on explicit failure attribution instead of opaque one-shot reflection. The approach keeps a structured link between explanations of why a task failed and the candidate skill patches meant to fix it, rather than generating a patch in a single unexamined pass. The authors argue this makes post-failure repair more transparent and easier to verify.