conda-manager
April 9, 2026 · View on GitHub
A Claude Code plugin for managing, auditing, and optimising Conda environments. Use it to inventory your environments, spot duplicates and broken installs, validate GPU compute libraries, back up specs, and get AI-driven suggestions for a cleaner environment portfolio.
Commands
| Command | Description |
|---|---|
/setup-conda | Verify Conda is installed and properly configured; guide through setup if needed |
/verify-conda | Deep verification of the Conda installation, PATH, shell init, and dependency solver |
/list-envs | List all environments with sizes, Python versions, key packages, and inferred purposes |
/check-env-health | Health-check all environments for broken deps, conflicts, and bloat |
/validate-env <name> | Activate and test a specific environment end-to-end, including GPU access |
/compare-envs <env1> <env2> [...] | Side-by-side comparison of two or more environments |
/find-duplicates | Identify near-identical environments to consolidate and reclaim disk space |
/suggest-envs | Recommend new baseline or specialised environments based on your workflows |
/cleanup-broken | Find and safely remove corrupted or non-functional environments |
/backup-envs <name|all> | Export environment specs to YAML files for safe recreation |
GPU support
Commands that deal with GPU-accelerated packages detect available hardware automatically:
- NVIDIA GPUs: checks CUDA version and PyTorch CUDA build
- AMD GPUs: checks ROCm/HIP version and PyTorch ROCm build
Installation
claude plugin install danielrosehill/conda-manager-plugin
Or add to your project .claude/settings.json:
{
"plugins": ["danielrosehill/conda-manager-plugin"]
}
Example usage
/list-envs
/check-env-health
/find-duplicates
/validate-env ml-base
/compare-envs base ml-gpu data-science
/backup-envs all
/suggest-envs
/cleanup-broken
License
MIT — Daniel Rosehill