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一套全面的Claude Code学术研究技能套件，涵盖从研究到发表的全流程。

30秒内安装（Claude Code CLI / VS Code / JetBrains，v3.7.0+）：

然后尝试/ars-plan通过苏格拉底式对话逐步介绍你的论文结构，或者跳转到快速安装，了解前置条件和传统的符号链接流程。

**AI是你的副驾驶，不是飞行员。**它可以起草文本，包括完整版论文，但决策权在你手中，流程在每个阶段都暂停以供确认。它负责繁重的工作（寻找参考文献、格式化引用、核实数据、核实逻辑一致性），让你专注于真正需要动脑的部分：定义问题、选择方法、解读数据含义，以及决定“我论证这一点”之后的内容。你仍然是作者，并且你要为你提交的每一个主张作出回答。

与人性化工具不同，这个工具不会帮你掩盖使用过人工智能的事实。它帮助你写得更好。风格校准通过过去的工作学习你的声音。

Academic Research Skills for Claude Code

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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+):

/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 for prerequisites and the traditional symlink flow.

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.