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(11 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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Helper skill for README-first AI paper reproduction that scans a repository, extracts documented commands, and returns the smallest trustworthy inference, evaluation, and training plan.
Executes and audits the selected smoke test, documented inference, or evaluation command during README-first AI paper reproduction, writing standardized `repro_outputs/` evidence and patch notes.
README-first AI paper reproduction skill that helps reproduce AI papers by choosing the smallest trustworthy documented target with minimal, auditable code changes.
A lane-aware skill repository for deep learning research workflows that separates trusted reproduction tasks from exploratory candidate work, shipping 11 skills with 42 test scripts across Windows and Linux for use with Claude Code, Codex, and Agent Skills.
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