Demystifying Agent Skills: Why They Work-Until They Don't
Skills enhance LLM agents primarily by stabilizing execution through procedural anchoring rather than injecting missing knowledge, though retrieval bottlenecks and brittle assumpti…
Hugging Face · Daily Papers
·Zhiyuan Jiang, Fangrui Huang
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·▲ 116 upvotes
Este artigo está em destaque na seleção diária de papers do Hugging Face, curada pela comunidade de pesquisa em IA.
Autores: Zhiyuan Jiang, Fangrui Huang, Hanwen Xing, Xander Wu, Yipeng Gao, Rui Cao
- 116 upvotes da comunidade
- Temas: LLM agents, skills, procedural anchoring, retrieval difficulty, cross-framework robustness, workflow memory
Resumo
Resumo original (em inglês), extraído do paper:
Skills enhance LLM agents primarily by stabilizing execution through procedural anchoring rather than injecting missing knowledge, though retrieval bottlenecks and brittle assumptions limit their effectiveness.