May 16, 2026 · Artificial Intelligence

A First Systematic Survey of Agent Skills: Taxonomy, Techniques, and Applications

This survey analyzes the emerging field of Agent Skills, defining a formal skill model, categorizing acquisition pathways, detailing retrieval strategies, and outlining a five‑stage evolution process, while highlighting large‑scale skill repositories and their implications for AI product design.

AI agentsAgent SkillsSkill Evolution

0 likes · 9 min read

A First Systematic Survey of Agent Skills: Taxonomy, Techniques, and Applications

PaperAgent

Mar 22, 2026 · Artificial Intelligence

Can LLM Agents Self‑Evolve Without Retraining? Inside Memento‑Skills

The article analyzes the Memento‑Skills framework, which treats external memory as executable skills to enable deployment‑time continual learning for frozen LLM agents, detailing its read‑write reflective loop, skill‑as‑memory design, behavior‑trained skill router, experimental validation on GAIA and HLE benchmarks, and theoretical guarantees without gradient updates.

AIAgentLLM

0 likes · 9 min read

Can LLM Agents Self‑Evolve Without Retraining? Inside Memento‑Skills