ai-collab-playbook

provenance:github:cnfjlhj/ai-collab-playbook

WHAT THIS AGENT DOES

The ai-collab-playbook is a practical guide for collaborating with AI, designed for researchers, writers, readers, and programmers. It provides a reusable workflow of collaboration rules, prompts, and skills, rather than a simple list of tips. The playbook is regularly updated and shared on GitHub, offering a constantly evolving resource. It includes visual aids, a comprehensive methodology, and a directory of skills to enhance AI-assisted work. Users can find optimized prompts, concept explanations, and tools for tasks like paper review and writing. The resource aims to help users navigate the complexities of AI collaboration effectively.

PROBLEM IT SOLVES

This agent solves the problem of scattered AI collaboration techniques by organizing them into a structured, reusable workflow. Instead of piecing together individual tips, users can leverage a comprehensive playbook to streamline their AI-assisted tasks, saving time and improving consistency compared to manual approaches or using less organized tools.

View Source ↗First seen 2mo agoNot yet hireable

CAPABILITIES & CONSTRAINTS

TECH & STACK

aicollaborationresearchwritingprogrammingpromptsskillsworkflow

README

<p align="center">
  <img src="docs/figs/hero-banner.svg" width="100%" alt="AI Collab Playbook" />
</p>

<p align="center">
  <a href="docs/phd-ai-collab.md"><strong>读主文章</strong></a> · <a href="skills/full/README.md">Skills 目录</a> · <a href="prompts">Prompts</a> · <a href="README.en.md">English</a>
</p>

---

面向科研、写作、阅读和编程的 AI 协作实战手册。不是零散技巧清单，而是把协作守则、Prompts 和 Skills 组织成一套可复用的工作流。

这里公开的是我愿意同步到 GitHub 的版本。公开版通常每周五同步，有明显改动时可能提前。

[![博士生 AI 协作总览图](docs/figs/phd-ai-collab-overview.png)](docs/phd-ai-collab.md)

## 图集速览

<table>
  <tr>
    <td align="center" width="33%">
      <a href="docs/phd-ai-collab.md#ai-learning-guide"><img src="docs/figs/phd-ai-learning-guide.png" alt="AI时代学习指南图" width="250"></a><br>
      <sub><strong>学习指南</strong></sub><br>
      <sub>噪声很大的时候，先把自己的判断稳住。</sub>
    </td>
    <td align="center" width="33%">
      <a href="docs/phd-ai-collab.md#code-agent-framework"><img src="docs/figs/phd-ai-agent-framework.png" alt="Code Agent 协作框架图" width="250"></a><br>
      <sub><strong>Code Agent 框架</strong></sub><br>
      <sub>怎么把多个模型和 agent 接进一套工作流。</sub>
    </td>
    <td align="center" width="33%">
      <a href="docs/phd-ai-collab.md#ai-learning-roadmap"><img src="docs/figs/phd-ai-learning-roadmap.png" alt="AI时代学习路线图" width="250"></a><br>
      <sub><strong>学习路线</strong></sub><br>
      <sub>AI 时代哪些基本功还值得补。</sub>
    </td>
  </tr>
</table>

## 仓库内容

| 类别 | 入口 | 说明 |
|------|------|------|
| 主文章 | [`docs/phd-ai-collab.md`](docs/phd-ai-collab.md) | 完整方法论，2026-03-20 版 |
| 协作守则 | [`AGENTS.md`](AGENTS.md) / [`CLAUDE.md`](CLAUDE.md) | 我平时真在用的 AI 协作规则 |
| Prompts | [`prompts/`](prompts) | 提示词优化器、概念解释器、论文精读等 5 个模板 |
| 完整 Skills | [`skills/full/README.md`](skills/full/README.md) | 仓内所有 skill 总目录 |
| 配图 | [`docs/figs/`](docs/figs) | 总览图、学习指南、框架图、路线图 |

## 独立仓库的 Skills

以下 Skills 已拆出独立维护：

| Skill | 用途 |
|-------|------|
| [paper-review-pipeline](https://github.com/cnfjlhj/paper-review-pipeline) | 论文审稿流水线 |
| [paperreview](https://github.com/cnfjlhj/paperreview) | 论文评审 |
| [skills-governance](https://github.com/cnfjlhj/skills-governance) | Skills 治理 |
| [session-recovery-codex](https://github.com/cnfjlhj/session-recovery-codex) | 会话恢复 |
| [collaborating-with-codex](https://github.com/cnfjlhj/collaborating-with-codex) | Codex 协作 |
| [xhs-note-creator](https://github.com/cnfjlhj/xhs-note-creator) | 小红书笔记创作 |
| [prompt-polisher](https://github.com/cnfjlhj/prompt-polisher) | 提示词润色 |
| [writing-anti-ai](https://github.com/cnfjlhj/writing-anti-ai) | 去 AI 味写作 |
| [xhs-longform-private-publisher](https://github.com/cnfjlhj/xhs-longform-private-publisher) | 小红书长文发布 |

## 反馈

- 随手留言 / 读后反馈：[Discussions](https://github.com/cnfjlhj/ai-collab-playbook/discussions/1)
- 勘误 / 结构建议：[提 Issue](https://github.com/cnfjlhj/ai-collab-playbook/issues/new/choose)
- 小红书转发版：[链接](https://www.xiaohongshu.com/discovery/item/69ab040f000000001a02d99e)

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First discoveredMar 23, 2026

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