feedback-integrator

Aggregate repeated findings, acceptance failures, eval results, user corrections, and workflow incidents across skill runs to identify recurring failure patterns and propose evidence-backed improvements to skill instructions, routing, references, kernels, evals, or host integration. Use when the user wants the skill system to learn from repeated mistakes, run a retrospective, improve reliability over time, or convert observed failures into regression tests. Do not use to silently self-modify skills, learn from a single weak signal, replace product/research analytics, or apply repository changes without explicit authorization.