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 degree-tensor-train-varieties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。
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
正在显示 SKILL.md
| name | degree-tensor-train-varieties |
| description | Integral geometry methodology for computing degrees of tensor train varieties. |
Integral geometry methodology for computing the degrees of tensor train varieties. Uses techniques from algebraic geometry and integral geometry to derive exact formulas for the degree of tensor train matrix product state varieties, connecting algebraic complexity with geometric invariants.
Given tensor train format with specified ranks, compute the degree of the corresponding algebraic variety using integral geometry methods.
Analyze the algebraic complexity of tensor decompositions by computing geometric invariants of the underlying varieties.
Study the geometric structure of tensor network varieties and their relationships through degree computations.
