env-and-assets-bootstrap
๐ฏSkillfrom lllllllama/ai-paper-reproduction-skill
|Sub-skill for README-first AI paper reproduction that prepares a conservative conda-first environment plus checkpoint, dataset, and cache path assumptions before any run attempt.
Overview
A sub-skill in the ai-paper-reproduction-skill repository that prepares a conservative conda-first environment plus checkpoint, dataset, and cache path assumptions before any run attempt. Part of a lane-aware skill system where the default lane is "trusted" and exploration requires explicit authorization.
Key Features
- Conda-first environment bootstrap for reproducibility
- Lays out checkpoint, dataset, and cache path assumptions before execution
- Cross-platform for Windows and Linux
- Conservative defaults that minimize implicit modifications to the repo
Who is this for?
Researchers reproducing deep-learning papers who want a safe, conservative pre-run setup step. Especially useful when a repo's dependencies are underspecified or where getting "just enough" environment right is half the battle.
Same repository
lllllllama/ai-paper-reproduction-skill(12 items)
Installation
npx vibeindex add lllllllama/ai-paper-reproduction-skill --skill env-and-assets-bootstrapnpx skills add lllllllama/ai-paper-reproduction-skill --skill env-and-assets-bootstrap~/.claude/skills/env-and-assets-bootstrap/SKILL.mdSKILL.md
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