experiment-setup - Set up and validate experiment environment
Set up, validate, or repair the local environment, Python dependencies, model boot, dataset access, and smoke tests for the project.
Tags
Updated: 2026-09-15Capabilities
Typical Inputs
Typical Outputs
What this skill does
- Identify environment contracts
- Validate core dependencies
- Validate model boot paths
- Validate dataset accessibility
- Run deterministic smoke tests
- Produce setup verdicts
Inputs
- Project documentation files
- Dependency specification files
- Setup scripts
- Dataset directories and manifests
Outputs
- Environment status summary
- Pass/fail checklist
- Reproduction commands
- Failure remediation steps
- Recommended next actions
Requirements
- Python runtime environment
- Package manager like pip or conda
- PyTorch and CUDA support
- Access credentials for gated datasets