Agent skills are reusable procedural artifacts that extend language agents with specialized workflows, tool conventions, and domain behaviors at inference time. However, creating reliable skills still...
MUSE is a story‑generation engine that applies Robert McKee’s narrative theory to guide decisions about plot, character, and language throughout planning, drafting, and revision. It structures story knowledge into rule atoms, semantic consolidations, and mechanisms, and uses intermediate deliverables to preserve decisions across creative stages. Experiments show MUSE improves benchmark scores over zero‑shot generation and maintains low consistency errors across multiple models.
By Jianxiang Ma, Xiaocui Yang, Daling Wang, Yuesong Hou, Mingfu Zhang, Yichen Gao, Junzhao Huang
arXiv:2608.23417v1 Announce Type: new
Abstract: Agent skills are reusable procedural artifacts that extend language agents with specialized workflows, tool conventions, and domain behaviors at infere...
By Hengjun Wang, Shuyue Wei, Boyi Liu, Jun Yang, Yongxin Tong
arXiv:2606.08091v2 Announce Type: replace
Abstract: Agentic long video generation requires planning, tool orchestration, and cross-clip coordination over a long horizon. Most existing video agents ei...
By Jianhui Wei, Yan Zhang, Jie Tan, Hengchuan Zhu, Xiaotian Zhang, Ziyi Chen, Daoan Zhang, Wei Xu, Yeying Jin, Zuozhu Liu
arXiv:2606. 01139v1 Announce Type: new Abstract: Agent skills are procedural artifacts that enable LLM agents to execute workflows, verify constraints, and recover from failures.
By Yuxuan Liu, Zhaochen Su, Lingyun Xie, Yuhao Zhang, Qing Zong, Jiahe Guo, Zhongwei Xie, Yiyan Ji, Yauwai Yim, Hongyu Luo, Xiyu Ren, Ruan Chenyu, Haoran Li, Yangqiu Song
arXiv:2606. 04781v1 Announce Type: new Abstract: Agent Skills today consist largely of free-form prose requiring the agent to read, interpret, and re-derive how to act in every session.
By Zachary Blumenfeld, Jim Webber