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academic-research-skills

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项目能做什么

面向 Claude Code 的学术科研技能库,覆盖文献调研、写作、审稿、修改到定稿全流程。
来源:基于仓库元数据 · 内容以仓库实际 README 为准

使用说明 查看原始 README 原仓库文档

中文使用说明暂未生成。下面保留原仓库 README 摘录,命令与配置均以原文为准。
原始 README 摘录(英文原文,节选前 3000 字符)
# Academic Research Skills for Claude Code

[![Version](https://img.shields.io/badge/version-v3.24.2-blue)](https://github.com/Imbad0202/academic-research-skills/releases/tag/v3.24.2)
[![DOI](https://img.shields.io/badge/DOI-10.5281%2Fzenodo.20696614-blue)](https://doi.org/10.5281/zenodo.20696614)
[![License: CC BY-NC 4.0](https://img.shields.io/badge/license-CC%20BY--NC%204.0-lightgrey)](https://creativecommons.org/licenses/by-nc/4.0/)
[![Sponsor](https://img.shields.io/badge/sponsor-Buy%20Me%20a%20Coffee-orange?logo=buy-me-a-coffee)](https://buymeacoffee.com/crucify020v)

[简体中文版](README.zh-CN.md) | [繁體中文版](README.zh-TW.md) | [日本語版](README.ja-JP.md) | [한국어](README.ko-KR.md) | [Español](README.es-ES.md) | [Português](README.pt-BR.md)

A comprehensive suite of Claude Code skills for academic research, covering the full pipeline from research to publication.

**Install in 30 seconds** (Claude Code CLI / VS Code / JetBrains, v3.7.0+):

```text
/plugin marketplace add Imbad0202/academic-research-skills
/plugin install academic-research-skills
```

Then try `/ars-plan` to walk through your paper structure via Socratic dialogue, or jump to [Quick install](#quick-install) for prerequisites and the traditional symlink flow.

On claude.ai or Claude Desktop (paid plans), add the same repository under **Customize → Plugins → Add → Add marketplace → Add from a repository**, then install `academic-research-skills`. Hooks and plugin agents do not run in plain chat there; see [SETUP Method 0](docs/SETUP.md#install-from-claudeai-or-claude-desktop-account-marketplace).

> **AI is your copilot, not the pilot.** It can draft text, including a whole paper in full mode, but the decisions stay yours, and the pipeline stops for your confirmation at every stage. It handles the grunt work (hunting down references, formatting citations, verifying data, checking logical consistency) so you can focus on the parts that actually require your brain: defining the question, choosing the method, interpreting what the data means, and deciding what comes after "I argue that." You remain the author, and you answer for every claim you submit.
>
> Unlike a humanizer, this tool doesn't help you hide the fact that you used AI. It helps you write better. Style Calibration learns your voice from past work. Writing Quality Check catches the patterns that make prose feel machine-generated. The goal is quality, not cheating.

### Why human-in-the-loop, not full automation?

Lu et al. (2026, *Nature* 651:914-919) built **The AI Scientist** — the first fully autonomous AI research system to publish a paper through blind peer review at a top-tier ML venue (ICLR 2025 workshop, score 6.33/10 vs workshop average 4.87). Their Limitations section enumerates the failure modes that any fully-autonomous AI research pipeline inherits: implementation bugs, hallucinated results, shortcut reliance, bug-as-insight reframing, methodology fabrication, frame-lock, citation hallucinations.

ARS is built on the 
阅读完整原文

项目深度分析 规则生成(AI 未配置)

综合评分 60.2 分。该项目在“个人可实施性”维度得 55 分,“付费可能性”维度得 40.0 分,差异化空间 70.0 分(评分依据见评分卡)。

将 academic-research-skills 改造为垂直场景 SaaS

产品构想保留核心能力,针对某一类用户(如某行业团队)做托管版,收取月费。
目标用户有该需求的中小团队 / 独立站长
难度/周期中 · 2~4 周(MVP)
收费模式订阅制(如 ¥29~99/月)
竞争风险需验证付费意愿;注意许可证合规
依据 数据支持的判断:许可证与关键词显示存在商用与付费场景

面向细分需求的二次开发产品

产品构想基于 academic-research-skills 的核心能力,聚焦一个更窄的场景(如某平台、某行业)做差异化。
目标用户该细分场景用户
难度/周期中 · 2~6 周
收费模式买断制 / 订阅制 / 广告
竞争风险细分需求规模需验证
依据 AI 推测:基于项目主题标签的判断

封装为在线小工具或 API 服务

产品构想把项目最常用的一个功能做成网页小工具,靠流量变现或按量计费。
目标用户搜索引擎带来的长尾用户
难度/周期低 · 1~3 周
收费模式免费引流 + 增值功能 / API 按量计费
竞争风险同质化竞争,需做好 SEO
依据 AI 推测:基于技术栈与部署特征的判断
以上为规则引擎基于仓库公开数据生成的参考结论,包含推测成分,不构成投资或创业承诺;配置 AI 后可获得更深入的分析。
报告会保存到 个人中心

竞品与相似项目 GitHub Search 真实检索

项目中文简介Stars语言
Imbad0202/academic-research-skills-codex 中文介绍暂未生成
Codex-native Academic Research Skills suite for human-in-the
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CYC2002tommy/Deep-Research-Agent 中文介绍暂未生成
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timpara/opencode-academic-research 中文介绍暂未生成
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以上为通过 GitHub 官方 Search API 检索的相似项目,功能差异与优劣势需进一步人工确认,配置 AI 后可生成对比分析。

项目优势与风险

技术成熟度创建时间待补全,最近推送 ,发布过 51 个 Release
社区活跃Star 56,611 / Fork 0 / Issue 0(数据支持,可自行核实)
许可证未检测到(需人工确认)
主要风险上游项目方向可能变化;同赛道竞争者较多(见竞品表);热度与需求不完全等价

安装与使用

此项目未提供 Docker 镜像,安装步骤以原仓库 README 为准(涉及依赖安装与环境配置,对新手门槛较高)。