Overview

Academic Research Skills (ARS) is a professional academic research toolkit for Claude Code, packaging the complete research workflow into orchestratable AI skill pipelines.

A “tool for tools” — helping AI better assist researchers, not replace them.

Four Skill Packages

Deep Research — 13 specialized agents, 7 working modes

Mode Purpose
Full Research End-to-end academic study
Quick Brief Rapid literature overview
Lit Review Systematic literature review
Systematic Review PRISMA protocol + meta-analysis
Fact Check Claim accuracy verification

Academic Paper — 12 agents, 10 modes

APA IEEE MLA Chicago Vancouver

Academic Paper Reviewer

5 independent reviewers simulating EIC + 3 peer reviewers + Devil’s Advocate with 0-100 scoring rubric.

Academic Pipeline

10-stage workflow: Research → Write → Integrity Check → Review → Revise → Re-review → Re-revise → Final Check → Finalize. Each stage has a mandatory quality gate.

Key Innovations

  • Anti-Hallucination Verification — mandatory claim-to-source cross-checking
  • Style Calibration — automatic adaptation to target journal style
  • Socratic Mentoring — guides researchers through questions

Tech Stack

Python LaTeX Pandoc YAML GitHub

Why This Matters

Academic writing demands extreme rigor, and AI hallucination is the biggest obstacle. ARS fights hallucination with process and verification.