Agent Skills › companion-inc/feynman › compute-env-setup

compute-env-setup

GitHub

为科研任务构建可复现的计算环境，涵盖Python/R包、GPU库及容器配置。通过识别需求、选择运行路径（如Modal或Slurm）、验证凭据、记录环境详情并执行冒烟测试，确保依赖完整且环境稳定。

skills/compute-env-setup/SKILL.md companion-inc/feynman

Trigger Scenarios

需要配置Python或R包环境需要设置GPU或容器运行时准备运行科研计算作业

Install

npx skills add companion-inc/feynman --skill compute-env-setup -g -y

More Options

Use without installing

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.