Agent Skillscompanion-inc/feynman › runpod-compute

runpod-compute

GitHub

用于在 RunPod 上配置和管理持久化 GPU Pod,支持 SSH 访问和文件传输。专为需要长期运行、涉及大规模数据集或基准测试的研究实验提供计算资源管理。

skills/runpod-compute/SKILL.md companion-inc/feynman

Trigger Scenarios

需要进行长时间运行的 GPU 研究实验 需要为基准测试或模型复制分配持久化 GPU 实例 需要通过 SSH 远程访问和控制云端 GPU 环境

Install

npx skills add companion-inc/feynman --skill runpod-compute -g -y
More Options

Use without installing

npx skills use companion-inc/feynman@runpod-compute

指定 Agent (Claude Code)

npx skills add companion-inc/feynman --skill runpod-compute -a claude-code -g -y

安装 repo 全部 skill

npx skills add companion-inc/feynman --all -g -y

预览 repo 内 skill

npx skills add companion-inc/feynman --list

SKILL.md

Frontmatter
{
    "name": "runpod-compute",
    "description": "Provision and manage GPU pods on RunPod for explicitly chosen long-running research experiments. Use when a Feynman replication, benchmark, or dataset-heavy research run needs persistent GPU compute with SSH access."
}

RunPod Compute

Use runpodctl CLI for persistent GPU pods with SSH access during a specific research run. Do not use this skill for provider administration outside that run; tie every pod to a replication, benchmark, or dataset-heavy research objective.

Setup

brew install runpod/runpodctl/runpodctl   # macOS
runpodctl config --apiKey=YOUR_KEY

Commands

Command Description
runpodctl create pod --gpuType "NVIDIA A100 80GB PCIe" --imageName "runpod/pytorch:2.4.0-py3.11-cuda12.4.1-devel-ubuntu22.04" --name experiment Create a pod
runpodctl get pod List all pods
runpodctl stop pod <id> Stop (preserves volume)
runpodctl start pod <id> Resume a stopped pod
runpodctl remove pod <id> Terminate and delete
runpodctl gpu list List available GPU types and prices
runpodctl send <file> Transfer files to/from pods
runpodctl receive <code> Receive transferred files

SSH access

ssh root@<IP> -p <PORT> -i ~/.ssh/id_ed25519

Get connection details from runpodctl get pod <id>. Pods must expose port 22/tcp.

GPU types

NVIDIA GeForce RTX 4090, NVIDIA RTX A6000, NVIDIA A40, NVIDIA A100 80GB PCIe, NVIDIA H100 80GB HBM3

When to use

  • Long-running research experiments needing persistent state
  • Large research datasets required by a replication or benchmark
  • Multi-step research work with SSH access between iterations
  • Always stop or remove pods after experiments
  • Check availability: command -v runpodctl

Version History

  • 54d08a3 Current 2026-07-25 07:16

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Metadata

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Version
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Hash
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Indexed
2026-07-25 07:16

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