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Claude Code Academic Research Skills Package (ARS) covers the entire academic writing process.

Today I'm sharing something suitable for academics. These days, there are more and more AI-powered academic tools available, which have increased writing speed, but a thorough check reveals numerous flaws. Even more frustrating is that AI can write a very strong argument, but the citations...

Claude Code学术研究技能包ARS,覆盖论文写作全流程

Today I'm posting something suitable for academic enthusiasts.

now AI With the increasing availability of academic tools, writing speed has improved, but a thorough check reveals numerous flaws.

What's even more painful is AI One can write a very firm argument, but the original literature cited may not actually support that argument.

I recently saw an academic research project on GitHub that specifically addresses this type of problem, and it already has 30,000 stars.

Academic Research Skills (ARS) is a set of skills designed for... Claude Codeopen sourceThe Academic Research Skills Package breaks down the processes of topic selection, literature search, paper writing, peer review, revision, and formatting, allowing... AI We will participate in stages; the key judgment is still left to us.

This project covers the entire academic workflow, from topic selection and research, literature search, paper writing, peer review, revision, to final formatting and process summary.

This project mainly includes four skill sets:

Deep Research: Conducting in-depth research, literature reviews, systematic reviews, and fact-checking.

Academic Paper: Assists with paper writing, abstract generation, format conversion, citation format checking, and LaTeX/PDF output.

Academic Paper Reviewer: Simulates peer review, examines papers from multiple perspectives, and provides quality scores and revision suggestions.

Academic Pipeline: This connects the research process to the publication of a manuscript, proceeds in stages, and incorporates academic integrity checks along the way.

It is also particularly easy to useSimple.

If we are already using Claude With Code, you can install plugins directly with just two lines of commands.

/plugin marketplace add Imbad0202/academic-research-skills

/plugin install academic-research-skills

The four skill sets in the project complement each other, and more than a dozen skills will appear alternately as we complete our paper. For example, we can let the project guide us in writing a paper:

Prompt wordsIt guided me to write a paper on the impact of declining birth rates.

The "Plan Mode" skill within the "Academic Paper" skill set will use a guided approach to help us plan a paper.

By asking questions, we can find out the current progress of the paper and which structure we want to use.

After we answer the questions about the progress and choose the paper structure, we will then proceed according to the current progress of the paper.recommendWe'll start with deep research.

Of course, in deep research, we also use questions to determine the direction of some papers.

As you can see, this transitions to the full-mode workflow of the Academic Paper skill group.

The process proceeded directly to Phase 1: producing a research problem briefing and a methodological blueprint for us.

They also carefully confirm certain directional issues before conducting literature searches; the process is truly meticulous.

I thought the literature search results divided into four directions were already quite comprehensive, but I didn't expect it to also list some limitations.

After completing Phase 3: Analysis and Synthesis, we were given two options:

Enter Phase 4: Directly write the complete research report.

Alternatively, you can take this research foundation back to the planning mode of an academic paper and proceed with a chapter-by-chapter guided planning.

The second option is to return to our original goal, accumulate literature, and then plan the paper.

We now have initial literature review, and our progress is no longer completely blank. Moreover, through the process we just went through, we have also extracted the core arguments of our paper.

Having a core argument helps us plan each chapter. ARS doesn't write the entire paper for us directly; instead, it uses skills to conduct a series of questions and answers, trying to incorporate our viewpoints.

If no changes are made after one round of inquiries, it will enter full mode. AI Write a complete first draft of the paper.

The essence of this project lies in academic integrity gatekeeping and citation auditing.

usSimpleAsking "Please review my entire paper," ARS will insert a dedicated checkpoint in the paper review process to look for fictitious citations, data errors, claims not supported by the literature, and methodological embellishments.AI Hallucinations result in these problems.

Specifically, this is achieved by directly calling the Academic Paper Reviewer skill set.

As you can see, ARS scores our papers from many dimensions in a broad sense, and it also tells us which paragraphs or sentences need to be revised.

As you can see from the final result, the structure is very complete and the content is quite substantial. As a course-level paper, it's already quite presentable.

More than writing a complete paper, I'm interested in the methodology behind ARS: breaking down academic research into a system that can be replicated, documented, and audited. AI Workflow.

Universities can use ARS for thesis writing tutoring and academic integrity checks. Research teams can use ARS for literature reviews and preliminary project research. Journals and educational institutions can use it for initial screening and peer review. R&D, consulting, and investment research teams in companies can also use similar processes to check the chain of evidence in the reports.

Features like "citation auditing" and "claim support checks" are particularly likely to become standard practice in the future. AI The core charging points for academic tools.

Now many AI The tools are still at the level of "helping you write more like a research paper," but the real problems remain unsolved: Is each conclusion supported by relevant literature? Have the citations been misinterpreted? Is the data taken from other contexts?

AI There's no need to rush to complete all the professional work at once. A better approach is to integrate yourself into the professional process, helping people ask follow-up questions, verify information, and double-check details, filling in the gaps in those most easily overlooked steps.

Original link:A GitHub star haul of 30,000 is equivalent to stuffing a mentor into his pocket.Claude In the code!