env-and-assets-bootstrap
Rigor Setup skill for README-first deep learning repo reproduction. Use when the task is specifically to prepare a conservative conda-first environment, checkpoint and dataset path assumptions, cache location hints, and setup notes before any run on a README-documented repository. Do not use for repo scanning, full orchestration, paper interpretation, final run reporting, or generic environment setup that is not tied to a specific reproduction target.
Install
Install this Claude and Codex skill with the command below. The command stays visible even when copy support is unavailable.
git clone https://github.com/lllllllama/RigorPilot-Skills /tmp/RigorPilot-Skills && ln -s /tmp/RigorPilot-Skills/skills/env-and-assets-bootstrap ~/.claude/skills/env-and-assets-bootstrapFrom README
env-and-assets-bootstrap Use this as the Rigor 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 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 help before any run attempt. When not to apply When the repository already ships a ready-to-run environment that does not need translation. When the task is only to scan and plan. When the task is only to report results from commands that already ran. When the request is a generic conda or package-management question outside repo reproduction. Clear boundaries This skill prepares environment and asset assumptions.