Dynamic Agent Skills: A Lifecycle Survey and Taxonomy of Evolving Skill Libraries

Jul 14, 2026

A new arXiv survey (2607.10113) analyzes 124 papers from 2023–2026 to create a taxonomy of how LLM agents manage evolving skill libraries. It proposes a six-sense taxonomy for different skill artifacts, an eight-stage lifecycle architecture, and a ten-operator vocabulary for comparing library updates. Key findings include the importance of admission and repair, the impact of verifier quality on skill-aware RL, and the degradation of flat retrieval as libraries grow.

Why it matters: This survey provides a structured framework for understanding and evaluating dynamic skill libraries in LLM agents, highlighting critical design decisions and open problems for future research.

Full story at: arXiv AI/ML ↗