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Imbad0202 / academic-research-skills

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Academic Research Skills for Claude Code: research → write → review → revise → finalize

buymeacoffee.comcrucify020v academic-pipeline academic-writing ai-research claude claude-code
459
50
69% credibility
Found Mar 10, 2026 at 100 stars 5x -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
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AI Summary

A set of specialized guides that enable an AI assistant to handle academic research, paper writing, peer review, and a complete pipeline from idea to publication-ready document.

How It Works

1
🔍 Find the Academic Helper

You discover a handy toolkit that turns your AI assistant into a full research team for writing scholarly papers.

2
📥 Bring It Home

You download the skills and slip them into your AI workspace so it's ready to tackle academic tasks.

3
💬 Kick Off Your Project

Chat with your AI saying 'Help me research climate change impacts' and it starts guiding you step by step.

4
📚 Dive Deep into Research

Your AI assembles a dream team to hunt reliable sources, fact-check everything, and build a strong knowledge base.

5
✍️ Craft and Polish the Paper

It helps outline, write sections, add visuals, and convert citations while coaching you through revisions.

6
🔍 Expert Review and Check

A panel of virtual reviewers scores your work, spots issues, and verifies every claim and reference.

🎉 Celebrate Your Ready Paper

You get a polished PDF in professional format, fully checked and submission-ready, with a quality report.

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AI-Generated Review

What is academic-research-skills?

This repo delivers Claude Code skills that automate the academic research pipeline: deep multi-agent research, paper drafting, peer review with rubrics, revisions, and final LaTeX-to-PDF outputs in APA7, IEEE, or Chicago styles. It tackles the grind of literature synthesis, citation verification, and integrity checks for academic research papers, posters, and presentations—turning vague ideas into publication-ready docs with bilingual support. Built for TeX workflows, it integrates as project skills or standalone via claude.ai uploads.

Why is it gaining traction?

Its full 10-stage orchestrator with adaptive checkpoints, Devil's Advocate critiques, and anti-hallucination verification stands out from basic academic github copilot prompts, delivering traceable audits and collaboration scores. Developers notice the real-world showcase artifacts—like caught fabrications in integrity reports—that prove reliability for academic research ai. Token-efficient modes for quick lit reviews or revisions hook users testing academic research databases without full commitment.

Who should use this?

PhD students outlining theses via Socratic-guided research, professors running "review this paper" on submissions, or researchers in academic research skills courses polishing drafts with revision coaching. Suited for those building academic research posters, handling reviewer comments, or needing systematic PRISMA reviews before conferences.

Verdict

Grab it if you're on Claude Max and deep in academia—strong docs and examples offset the 0.7% credibility score and 35 stars, signaling early but promising maturity. Skip for lightweight needs; full pipelines burn tokens fast.

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