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…
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env-and-assets-bootstrap is a Claude Code skill (SKILL.md) for the Rigor Setup stage of README-first deep learning repo reproduction. It prepares conservative conda-first environment notes, checkpoint and dataset path assumptions, cache location hints, and setup documentation before any commands are run.
Reach for it when a reproduction target is already selected and you need disciplined environment and asset preparation without letting the skill drift into scanning, orchestration, or reporting.
Use it to
- Prepare conda-first environment setup notes before running a README-documented repo
- Plan checkpoint and dataset asset paths with source hints
- Generate candidate conda bootstrap commands via bundled scripts
- Flag unresolved dependency and asset risks before a run
For AI agents and developers reproducing deep learning papers from READMEs
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