embodied-ai
Skill0 starsChanged 59 days agoNo licenceView on GitHub
具身智能/机器人学习方向的研发任务：导航、操作、策略训练、仿真到真机迁移、ROS 集成、PX4/Isaac 联动。当任务涉及机器人策略、仿真环境搭建、sim-to-real、NavRL/AirVLN 类工作或 ROS 工作区时使用。
In this repository14 other files it gives its agents.
- rules/AGENTS.mdAGENTS.md
- rules/CLAUDE.mdCLAUDE.md
- code-reviewSkill
- experiment-reviewSkill
- paper-readingSkill
- repo-auditSkill
- gpu-debugSkill
- server-safetySkill
- ssh-debugSkill
- ubuntu20-experimentSkill
- ubuntu24-experimentSkill
- ubuntuSkill
- isaac-simSkill
- paper-reproductionSkill
The file
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.