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Use when working on Unity ML-Agents: training configs, BehaviorParameters, sensors, actuators, inference in builds, or com.unity.ml-agents packages.
默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。
决定是否安装前，请先阅读 SKILL.md，以及 SkillsMP 当前展示的配套文件。
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/rachitkumarrastogi/unity-mcp-server --skill unity-ml-agents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。
Use for 2D art pipelines: sprite atlases, sprite-mode textures, tilemaps, and import settings (PPU, maxSize).
Use to audit a Unity project's AI/ML stack: packages, models, scripts, configs, and release risks. Start here for "what AI does this game use?"
Use for Animator Controllers: states, transitions, clips, avatar masks, override controllers, and Timeline playables.
基于 SOC 职业分类
正在显示 SKILL.md
| name | unity-ml-agents |
| description | Use when working on Unity ML-Agents: training configs, BehaviorParameters, sensors, actuators, inference in builds, or com.unity.ml-agents packages. |
get_ai_stack_summary — packages, ONNX assets, script hits, training YAMLsget_ai_ml_package_inventory — confirm com.unity.ml-agents versionlist_ml_agents_training_configs — trainer YAML pathsfind_ai_related_scripts — filter label ML-Agentsbehaviors, trainer_type, hyperparameters; keep configs in repo root or config/.BehaviorParameters + trained .onnx in Model field; verify with list_prefabs_with_component for BehaviorParameters if serialized as component name.