env-and-assets-bootstrap 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 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. It does not own target selection. It does not own final reporting. It does not perform paper lookup except by forwarding gaps to the optional paper resolver. Input expectations target repo path selected reproduction goal relevant README setup steps any known OS or package constraints Output expectations conservative environment setup notes candidate conda commands asset path plan checkpoint and dataset source hints unresolved dependency or asset risks Notes Use references/env-policy.md , references/assets-policy.md , scripts/bootstrap_env.py , scripts/plan_setup.py , and scripts/prepare_assets.py . Use scripts/bootstrap_env.sh only as a POSIX wrapper around the Python bootstrapper when a shell entrypoint is more convenient.
env-and-assets-bootstrap
安装
npx skills add https://github.com/lllllllama/ai-paper-reproduction-skill --skill env-and-assets-bootstrap