Microsoft proposes training agent skills like neural networks, with validation gates and no weight updates
Saboo_Shubham_ · x · 2026-07-21
Microsoft lays out a strategy for self-evolving agent skills: treat skills like neural-network training, with epochs, minibatch size, learning rates, and validation gates, while keeping model weights frozen.
The attached SkillOpt paper/site says the system optimizes a skill document rather than model weights, using scored rollouts and bounded edits. A candidate edit is accepted only if it improves held-out validation, with learning-rate budgeting and slow meta-updates to keep training stable. The resulting bestskill.md reportedly transfers across models and harnesses, and improves benchmark accuracy without adding inference-time calls.
Related event: Microsoft Open-Sources SkillOpt for Self-Evolving Agent Skills(2 posts)→
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