Set up and validate a reproducible Python or R environment on a Wisp execution context. Use for a selected local, WSL, or direct SSH context when installing scientific packages, configuring caches, recording interpreter activation, or producing an environment smoke test. Do not use for scheduler clusters or managed cloud providers that Wisp cannot track yet.
$npx -y skills add xuzhougeng/wisp-science --skill compute-env-setupInstalls into the current project.
Run `npx skills use "https://github.com/xuzhougeng/wisp-science" --skill "xuzhougeng/wisp-science/compute-env-setup"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/xuzhougeng/wisp-science" that are relevant to the current task. Run `npx skills add "https://github.com/xuzhougeng/wisp-science"` and select the relevant skills, then follow their instructions.