gpu-debug
Skill0 starsChanged 59 days agoNo licenceView on GitHub
诊断远程 Linux 机器上的 GPU 可用性问题：nvidia-smi 无输出或报错、CUDA 不可见、训练任务看不到显卡、容器内 GPU 未挂载、显存被占用。当需要在服务器上跑训练/仿真但怀疑 GPU 不可用时使用。
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
- server-safetySkill
- ssh-debugSkill
- ubuntu20-experimentSkill
- ubuntu24-experimentSkill
- ubuntuSkill
- embodied-aiSkill
- 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.