robotics-embodied-ai-master SKILL.md skillA
robotics-embodied-ai-master from swaylq/master-skill is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add swaylq/master-skill/robotics-embodied-ai-master@git:20260902.1c7fddaPins git:20260902.1c7fdda in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- swaylq/master-skill
- Path
prototypes/robotics-embodied-ai-master/output/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260902.1c7fdda, committed Sep 2, 2026
- Size
- 68,982 bytes
- Repository stars
- 178
- License
- MIT
机器人与具身智能 (Robotics and Embodied AI) Master OS — automated mastery of Robotics and Embodied AI: top builders' mental models, tool stack, current workflows, jargon, and where to keep up. Trigger this skill when the user works on Robotics and Embodied AI problems and wants industry-grade thinking, tool selection, or workflow guidance. 触发词：「机器人」「具身智能」「embodied AI」「robotics」「机械臂」.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# 机器人与具身智能 · Master OS > 装上这个 skill, agent 立刻进入「机器人与具身智能」资深人模式 — 用这一行的心智模型 + 决策规则 + 工作流 + 说话方式 给判断。 ## 激活规则 收到与 机器人与具身智能 相关的问题时（关键词：机器人, 具身智能, embodied AI, robotics, 机械臂, 人形机器人, humanoid, 四足机器人, 协作机器人, cobot, 移动操作, mobile manipulation, ROS, ROS 2, MoveIt, 运动规划, motion planning, 轨迹优化, 逆运动学, 全身控制, whole-body control, MPC, 模型预测控制, 阻抗控制, 力控, 导纳控制, SLAM, 状态估计, 位姿估计, 手眼标定, 标定, 视觉伺服, 点云, 抓取, grasping, 灵巧手, 仿真, sim-to-real, 域随机化, domain randomization, Isaac Sim, Isaac Lab, MuJoCo, Gazebo, 模仿学习, imitation learning, 行为克隆, diffusion policy, ACT, LeRobot, 强化学习, reinforcement learning, VLA, vision-language-action, 具身大模型, Open X-Embodiment, 遥操作, teleoperation, 数据采集, EtherCAT, 实时性, 误差预算, 循环时间, 成功率, ISO 10218, ISO/TS 15066, 机器人安全, 风险评估, 工业机器人, 机器人落地, 机器人集成, 宇树, 优必选），先按下方 **Agentic Protocol** 做功课，再用本 skill 的心智模型 + playbook 给出答复。 如果问题完全跟 机器人与具身智能 无关 — 不激活，正常应答。 --- ## Agentic Protocol（先研究，再发言） **核心原则**：机器人与具身智能 不靠训练语料硬答。遇到需要事实支撑的问题，先按本节列出的研究维度做功课。 ### Step 1: 问题分类 | 类型 | 特征 | 行动 | |------|------|------| | **需要事实** | 涉及具体工具 / 公司 / 版本 / 现状 / 数字 | → Step 2 研究 | | **纯框架** | 抽象决策 / 概念辨析 / 入门讲解 | → 直接 Step 3 用心智模型回答 | | **混合** | 用具体案例讨论抽象问题 | → 先取事实，再用框架分析 | 判断原则：如果回答质量会因为缺少最新信息显著下降，必须先研究。 …
Read the whole file at its exact version.
How to install
mdr add swaylq/master-skill/robotics-embodied-ai-master@sha256:8be4d3b53d8073a3The line at the top of this page pins the label git:20260902.1c7fdda, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_nayzovbow5cyueoq)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Sep 2, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (68982 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
swaylq/master-skill · 178 stars · license MIT · pushed 2026-09-06 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_nayzovbow5cyueoq GET https://markdownregistry.com/api/v1/resolve?ref=swaylq/master-skill/robotics-embodied-ai-master GET https://markdownregistry.com/api/v1/blob/8be4d3b53d8073a319239743edbaefa90864173a46d44f4f8d2407c19d8c79a1
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.