Compute Environment Setup

Compute Environment Setup is a DevOps skill for Claude Code, published by xuzhougeng in wisp-science.

1K stars106 forkson xuzhougeng/wisp-scienceAdded 2026/08/21+1% in starsRepository updated 2026/08/21

agent-skillsai-agentai-assistantai-for-scienceai4sciencebioinformaticscomputational-biologydesktop-appllmlocal-firstmcpmodel-context-protocolpythonreproducible-researchresearch-assistantrstatsrustscientific-computingscientific-workflowtauri

Install in seconds

Install Compute Environment Setup

Copy Compute Environment Setup into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/xuzhougeng/wisp-science/tree/main/skills/compute-env-setup ~/.claude/skills/compute-env-setup

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/xuzhougeng/wisp-science.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: skills/compute-env-setup/SKILL.md in xuzhougeng/wisp-science
Installs to: ~/.claude/skills/compute-env-setup
Collection: One of 25 skills cataloged from this repository
Category: DevOps — 798 skills

What Compute Environment Setup does

Compute Environment Setup defines and validates a reproducible Python or R environment in a Wisp execution context. Use it to install scientific packages, configure caches, record activation commands, and run smoke tests on local, WSL, or direct SSH hosts.

Compute Environment Setup is cataloged under DevOps on DirSkills. Compute Environment Setup comes from a repository tagged agent-skills, ai-agent, ai-assistant, ai-for-science and ai4science.

Documentation

README

Excerpt

Set up a compute environment

Treat the selected and probed ExecutionContext as authoritative. Wisp currently supports local, wsl:<distro>, and direct ssh:<alias> contexts; it does not expose an authenticated provider SDK inside Python.

Plan the environment

Define before installing:

Python or R version;
ordered conda/pip/R package phases with important pins;
required CUDA capability and minimum VRAM;
cache variables and durable weight locations;
import checks, CLI checks, and one seeded representative workload;
the exact activation command later Runs must include.

Use references/envs_reference.md for package-order and cache examples, but replace container-specific paths with paths valid on the selected context.

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Compute Environment Setup

What else does xuzhougeng publish alongside Compute Environment Setup?
Compute Environment Setup is one of 25 skills that DirSkills catalogs from xuzhougeng/wisp-science, the repository it ships in. Its siblings there include Agent Infini, Bear Counter and Bear Map. Each one is a separate skill with its own page in this directory, installs the same way Compute Environment Setup does, and is maintained by xuzhougeng in that same repository. The rest of the collection is listed on the xuzhougeng/wisp-science page.
How does Compute Environment Setup compare to other DevOps skills?
Compute Environment Setup ranks #439 by stars among the 798 DevOps skills in this catalog. The most-starred ones next to it are Backend Patterns, API Connector Builder and Migration. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Compute Environment Setup against them. Open each page to compare what they document and how they install.