SkillOpt treats markdown skill files as trainable parameters with proper optimization machinery

In three linesSkillOpt formalizes markdown skill file optimization as trainable parameters via bounded edits (add/delete/replace) proposed by a frontier model and validated against a held-out test set. Best skills converge with 1–4 accepted edits from ~920 tokens. A skill optimized on Codex transfers to Claude Code (+59.7 SpreadsheetBench) without modification.

Summary generated by Claude — human-verified