env-and-assets-bootstrap
Installation
Summary
Conservative conda-first environment and asset preparation for deep learning repository reproduction.
- Prepares environment setup notes, candidate conda commands, and asset path plans based on README documentation and repo constraints
- Identifies checkpoint and dataset sources, cache location hints, and unresolved dependency or asset risks before execution
- Applies only after repo intake identifies a credible reproduction target; does not handle repo scanning, orchestration, or final reporting
- Expects target repo path, reproduction goal, README setup steps, and OS/package constraints as input
SKILL.md
env-and-assets-bootstrap
Use this as the Rigor Setup skill. The installed slug remains
env-and-assets-bootstrap for compatibility.
Use the shared operating principles in
../../references/agent-operating-principles.md; this skill should keep setup
planning conservative while leaving environment-specific judgment to the model.
When to apply
- After repo intake identifies a credible reproduction target.
- When environment creation or asset path preparation is needed before running commands.
- When the repo depends on checkpoints, datasets, or cache directories.
- When the user explicitly wants setup help before any run attempt.
When not to apply
Installs
139.7K
Repository
lllllllama/ai-paper-reproduction-skillGitHub Stars
412
First Seen
Mar 30, 2026
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