Microsoft Open Sources SkillOpt: Train Agent Skills Like Neural Networks
aigclink · x · 2026-08-31
Microsoft has open-sourced SkillOpt, a text-space optimizer that trains reusable natural-language skills for frozen LLM agents through trajectory-driven edits and validation-gated updates, all without touching model weights. It applies neural network training concepts (epochs, batch size, learning rates) to optimize skill documentation, outputting a compact bestskill.md.
Key Features:
- SkillOpt-Sleep: An offline self-evolution feature that harvests daily session data to mine repetitive tasks for replay practice, merging tested skills into the guide.
- Zero Inference Overhead: Adds no extra inference calls or latency during deployment.
- Performance: Achieved a 23.5-point improvement over the no-skill baseline in GPT-5.5 direct chat scenarios.
More from coding & agent
- VibeKit MCP Server Manages Deployments, Logs, and Headless Coding — modelcontextprotocol · 2026-09-01
- Distributed.systems发布可审计的Agent基础设施 — arthurcolle · 2026-09-01
- How to Stop Context Window Bottlenecks in Data-Heavy MCP Servers — JuicerSocial · 2026-09-01
- Grok Bots Turn LLM Citations Into an SEO Loop for AI Search Ranking — rohanpaul_ai · 2026-09-01
- Search configuration impacts agent accuracy 40x more than model choice — RichardSocher · 2026-09-01
- Built a LoL Classic Wiki & Build Planner using Claude for data and logic — Shortykane · 2026-09-01