How does this skill assist with Claude Code integration?

It provides specific Bash permission settings for your .claude/settings.local.json, allowing the AI to safely source scripts and activate environments in restricted paths.

Is this skill specific to the University of Florida?

While the examples use HiPerGator's /blue/ directory structure, the workflow applies to any RHEL-based HPC cluster where users manage multiple storage allocations.

Why shouldn't I use conda init for multiple installations?

Running conda init for multiple installations modifies your .bashrc and causes conflicting shell configurations. Using modular sourcing scripts is the cleaner, verified method for HPC.

What is the benefit of configuring CONDA_PKGS_DIRS?

By setting a shared package directory, you prevent downloading the same packages into multiple group directories, saving significant disk space on your storage quota.

HiPerGator Multi-Group Conda Manager

Name: HiPerGator Multi-Group Conda Manager
Author: smith6jt-cop

bysmith6jt-cop

데이터 과학 및 ML

Configures and manages multiple Conda environment locations across different research group storage allocations on the UF HiPerGator supercomputer.

소개

This skill provides a verified workflow for researchers using the University of Florida's HiPerGator supercomputer to seamlessly transition between multiple Conda installations and research group storage locations. It solves the limitation of default Conda directory visibility by implementing modular sourcing scripts and environment variable management, allowing Claude Code to interact with isolated environments across various /blue/ storage partitions without causing shell initialization conflicts or path errors.

주요 기능

Multi-group environment visibility using CONDA_ENVS_DIRS configuration
Tailored Claude Code permission templates for remote environment execution
Best practice implementation for Miniforge on RHEL 9 HPC systems
Modular sourcing scripts for safe switching between research group allocations
Shared package caching strategies to optimize HPC storage quota usage
0 GitHub stars

사용 사례

Automating Claude Code workflows within specific group-owned Conda environments
Managing separate research environments across different /blue/ group directories
Optimizing HPC storage by sharing package caches between multiple project installations

소개

주요 기능

Multi-group environment visibility using CONDA_ENVS_DIRS configuration
Tailored Claude Code permission templates for remote environment execution
Best practice implementation for Miniforge on RHEL 9 HPC systems
Modular sourcing scripts for safe switching between research group allocations
Shared package caching strategies to optimize HPC storage quota usage
0 GitHub stars

사용 사례

Automating Claude Code workflows within specific group-owned Conda environments
Managing separate research environments across different /blue/ group directories
Optimizing HPC storage by sharing package caches between multiple project installations