auto-experiment
Launch an autonomous THINK→EXECUTE→REFLECT experiment loop on a GPU project
@xiangyue-zhangInstall SkillAutomation
Skill
/gpu-monitor
Check GPU status, running experiments, and available resources
Claude Code
$ npx -y skills add Xiangyue-Zhang/auto-deep-researcher-24x7 --skill gpu-monitor --agent claude-code
Codex
$ npx skills add Xiangyue-Zhang/auto-deep-researcher-24x7 --skill gpu-monitor -a codex -y
Cursor
$ npx skills add Xiangyue-Zhang/auto-deep-researcher-24x7 --skill gpu-monitor -a cursor -y
Gemini CLI
$ npx skills add Xiangyue-Zhang/auto-deep-researcher-24x7 --skill gpu-monitor -a gemini-cli -y
GitHub Copilot
$ npx skills add Xiangyue-Zhang/auto-deep-researcher-24x7 --skill gpu-monitor -a github-copilot -y
OpenCode
$ npx skills add Xiangyue-Zhang/auto-deep-researcher-24x7 --skill gpu-monitor -a opencode -y
Windsurf
$ npx skills add Xiangyue-Zhang/auto-deep-researcher-24x7 --skill gpu-monitor -a windsurf -y
SKILL.md
gpu-monitor.SKILL.mdname: gpu-monitor description: "Check GPU status, running experiments, and available resources"
gpu-monitor
Quick GPU status check for experiment management.
Usage
Claude Code: /gpu-monitor Claude Code: /gpu-monitor --server user@remote-host Codex: $gpu-monitor
Behavior
1. Run `nvidia-smi` to get current GPU status 2. Display a clean summary table:
- GPU ID, Name, Memory (used/total), Utilization %, Temperature
- Running processes on each GPU
3. Identify which GPUs are free (< 1GB memory used) 4. Identify which GPUs are running experiments (check for python/torchrun processes) 5. If `--server` is provided, SSH to remote server first
Output Format
GPU Status ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ GPU Name Memory Util Temp 0 L20X 144GB 45123/147456 98% 72°C ← training (PID 12345) 1 L20X 144GB 234/147456 0% 35°C ← FREE 2 L20X 144GB 43210/147456 95% 70°C ← training (PID 12346) 3 L20X 144GB 1024/147456 12% 40°C ← keeper Free GPUs: [1] Training: GPU 0 (PID 12345), GPU 2 (PID 12346)
Ships withauto-deep-researcher-24x7
🔥 An autonomous AI agent that runs your deep learning experiments 24/7 while you sleep. Zero-cost monitoring, Leader-Worker architecture, constant-size memory.
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Questions about gpu-monitor.
- Which coding agents can use gpu-monitor?
- gpu-monitor installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.