用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/hiyenwong/ai_collection --skill llm-emotion-trajectory-fmri命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
正在显示 SKILL.md
Graph-native Python reimplementation of the Information Dynamics of Music (IDyOM) model that represents predictive memories as explicit graph objects for musical expectation modeling and network analysis.
Physics-aware end-to-end deep reinforcement learning methodology for quadcopter control with actuator dynamics modeling.
Reinforced Dreamer methodology for asymmetric reinforcement learning using latent guidance to improve world model representations and behaviors in model-based RL.
基于 SOC 职业分类
| name | llm-emotion-trajectory-fmri |
| description | LLM自动化标注情绪轨迹fMRI解码方法论。使用多目标回归框架、动态功能连接(DFC)、图论可解释AI解码连续情绪维度。 |
| platforms | ["linux","macos","windows"] |
| tags | ["emotion","llm-annotation","dfc","fmri-decoding","regression","xai"] |
标题: Decoding Naturalistic Emotion Dynamics from the Brain: An LLM-Enhanced Regression Framework arXiv: 2606.07707v1 作者: Lemei Zhang, Peng Liu等 发布: 2026-06-05
关键词: llm-emotion, dfc-fmri, sentiment-trajectory, naturalistic-decoding, graph-xai, regression-framework
