Agent Skills › Companion-Inc/feynman › compute-env-setup

compute-env-setup

GitHub

为研究任务配置可复现的计算环境，涵盖包管理、GPU库、容器及远程运行时设置。通过识别需求、选择运行方式、验证凭据、记录环境信息及执行冒烟测试，确保依赖完整与环境稳定。

skills/compute-env-setup/SKILL.md Companion-Inc/feynman

触发场景

需要配置Python/R包或GPU库准备运行大型研究作业前涉及容器或Modal/SSH部署需建立可复现的运行环境

安装

npx skills add Companion-Inc/feynman --skill compute-env-setup -g -y

更多选项

不安装直接使用

npx skills use Companion-Inc/feynman@compute-env-setup

指定 Agent (Claude Code)

npx skills add Companion-Inc/feynman --skill compute-env-setup -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": "compute-env-setup",
    "description": "Set up a reproducible Feynman compute environment for research jobs. Use when a task needs Python\/R packages, GPU libraries, containers, Modal, SSH, caches, or managed model runtime setup."
}

Compute Environment Setup

Use this skill before running a research job that needs a nontrivial runtime.

Workflow:

Identify the job type, hardware need, data size, package stack, secrets, and expected artifacts.
Choose the smallest working route: local notebook runtime, project virtualenv/conda, Modal, SSH/Slurm, or managed endpoint.
Verify credentials and CLIs through Feynman Settings or environment status without printing secret values.
Write an environment note containing package versions, install commands, cache paths, hardware, and failure modes.
Run a tiny smoke job before the expensive job and save the smoke logs.

The done state is a recorded, reproducible environment plus a successful smoke or a precise missing dependency.