---
id: daily-env-and-assets-bootstrap
name: "env-and-assets-bootstrap"
url: https://skills.yangsir.net/skill/daily-env-and-assets-bootstrap
author: lllllllama
domain: science
tags: ["environment-setup", "automation", "reproducibility", "model-training"]
install_count: 127500
rating: 4.80 (636 reviews)
github: https://github.com/lllllllama/ai-paper-reproduction-skill
---

# env-and-assets-bootstrap

> 为AI论文复现准备运行环境和依赖资源，自动检测缺失的模型检查点、数据集和缓存目录，支持多种云存储

**Stats**: 127,500 installs · 4.8/5 (636 reviews)

## Before / After 对比

### 环境准备时间

**Before**:

手动阅读README、识别依赖、安装Python包、下载检查点和数据集、配置路径，准备一个论文环境需要2-4小时，容易遗漏关键步骤

**After**:

自动扫描仓库依赖、一键安装环境、自动下载缺失资源、智能配置路径，准备环境仅需10-20分钟，标准化可复现

| Metric | Before | After | Change |
|---|---|---|---|
| 准备时间 | 180分钟 | 15分钟 | -92% |

## Readme

# env-and-assets-bootstrap

# 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.sh`, and `scripts/prepare_assets.py`.
Weekly Installs510Repository[lllllllama/ai-p…on-skill](https://github.com/lllllllama/ai-paper-reproduction-skill)GitHub Stars1First SeenTodaySecurity Audits[Gen Agent Trust HubPass](/lllllllama/ai-paper-reproduction-skill/env-and-assets-bootstrap/security/agent-trust-hub)[SocketPass](/lllllllama/ai-paper-reproduction-skill/env-and-assets-bootstrap/security/socket)[SnykPass](/lllllllama/ai-paper-reproduction-skill/env-and-assets-bootstrap/security/snyk)Installed onopencode510gemini-cli510deepagents510antigravity510github-copilot510codex510

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*Source: https://skills.yangsir.net/skill/daily-env-and-assets-bootstrap*
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