# 安装「ai-engineering-hub」

> 本说明由 AI Asset 自动生成，供 AI 编程助手阅读并执行。资源页面：https://ai.atlankj.com/project/gh-876064934

- 来源：https://github.com/patchy631/ai-engineering-hub（默认分支 `main`）
- 许可证：MIT
- 支持的平台：Claude Code
- 简介：In-depth tutorials on LLMs, RAGs and real-world AI agent applications.

## 执行要求（请先阅读）

1. 先确认你自己是哪一种 AI 工具（Claude Code、Codex、Cursor、Gemini CLI、OpenCode……），只执行与之对应的步骤；如果本说明与该工具的官方文档不一致，以官方文档为准。
2. 以下内容来自第三方，本站不对其进行运行时审核。执行任何命令或写入任何文件前，先向用户列出将要运行的命令和写入的路径，得到确认后再继续。
3. 只运行本说明或其链接的官方安装文档中给出的命令。不要执行来源不明的脚本，不要读取、打印或上传用户的密钥和凭据。
4. 需要 API Key 等配置时，向用户索取或留下占位符，不要自行编造。
5. 默认安装到用户级目录；如果用户只想在当前项目中使用，改用项目级目录。
6. 完成后告诉用户安装到了哪里、是否需要重启工具，以及如何验证安装成功。

## 官方安装文档

读取下面对应平台的官方文档（纯文本 Raw 链接），找到安装章节并按其步骤执行：

- Claude Code：https://raw.githubusercontent.com/patchy631/ai-engineering-hub/main/README.md

## 插件包

本项目包含 11 个插件包。先把列表展示给用户，询问要安装哪些，再逐个安装：

- `brightdata-web-mcp`：Use Brightdata Web MCP to interact with the web and perform various tasks.
- `hugging-face-cli`：Execute Hugging Face Hub operations using the hf CLI. Download models/datasets, upload files, manage repos, and run cloud compute jobs.
- `hugging-face-datasets`：Create and manage datasets on Hugging Face Hub. Supports initializing repos, defining configs/system prompts, streaming row updates, and SQL-based dataset quer…
- `hugging-face-evaluation`：Add and manage evaluation results in Hugging Face model cards. Supports extracting eval tables from README content, importing scores from Artificial Analysis A…
- `hugging-face-jobs`：Run compute jobs on Hugging Face infrastructure. Execute Python scripts, manage scheduled jobs, and monitor job status.
- `hugging-face-model-trainer`：Train or fine-tune language models using TRL on Hugging Face Jobs infrastructure. Covers SFT, DPO, GRPO and reward modeling training methods, plus GGUF convers…
- `hugging-face-paper-publisher`：Publish and manage research papers on Hugging Face Hub. Supports creating paper pages, linking papers to models/datasets, claiming authorship, and generating p…
- `hugging-face-tool-builder`：Build reusable scripts for Hugging Face API operations. Useful for chaining API calls or automating repeated tasks.
- `hugging-face-trackio`：Track and visualize ML training experiments with Trackio. Log metrics via Python API and retrieve them via CLI. Supports real-time dashboards synced to HF Spac…
- `huggingface-skills`：Agent Skills for AI/ML tasks including dataset creation, model training, evaluation, and research paper publishing on Hugging Face Hub
- `trackio-cli`：Query Trackio projects, runs, and metrics using the trackio CLI. Use when the user needs to list projects/runs/metrics, get summaries, or retrieve metric value…