SkillGrad: Optimizing Agent Skills Like Gradient Descent

In three linesSkillGrad optimizes LLM agent skills using a gradient-descent-inspired framework. Task executions provide trajectory-level loss signals, automatic diagnostics generate text-based gradients, and a momentum agent accumulates recurring patterns. Evaluated on SpreadsheetBench and WikiTableQuestions, SkillGrad outperforms training-based baselines by 6.7 percentage points on average.

Summary generated by Claude — human-verified