Agent Skill Evaluation and Evolution: Frameworks and Benchmarks

In three linesSystematic survey of skill evaluation and evolution frameworks for agentic systems. Categorizes evolution into four paradigms: execution feedback, trajectory distillation, compression, and reinforcement learning. Analyzes six skill-centric benchmark categories, identifies structural gaps, and outlines directions for building generalizable, efficient, and verifiably safe skill ecosystems.

Summary generated by Claude — human-verified