Imbad0202 / academic-research-skills

2026-02-26 · Source: Github Trending: All languages · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Software Development & Engineering, Research Methodology & Innovation · Depth: Advanced, extended

Summary

Academic Research Skills (ARS) is a comprehensive suite of Claude Code skills, currently at version 3.9.4.1, designed to assist academic researchers throughout the entire publication pipeline. It integrates with Claude Code CLI, VS Code, and JetBrains, offering features like Deep Research with a 13-agent team, Academic Paper writing with a 12-agent pipeline, and a 7-agent Academic Paper Reviewer. Key functionalities include Socratic dialogue for paper structuring, reference hunting, citation formatting, data verification, and logical consistency checks. The tool emphasizes a human-in-the-loop approach, aiming to augment researchers rather than fully automate paper writing, addressing known AI failure modes like hallucinated results and citation errors. Recent updates, like v3.8.0, introduced a Claim-Faithfulness Locator and Audit to verify cited sources, while v3.9.4 added a temporal verification layer to detect anachronistic citations and causal inversions.

Key takeaway

For AI Scientists and Research Scientists aiming to enhance the rigor and efficiency of their academic publication workflow, integrating ARS can significantly reduce "grunt work" and mitigate AI-specific failure modes like citation hallucinations. You should leverage its multi-agent system for tasks such as systematic reviews, integrity checks, and peer review, allowing you to focus on conceptualization and interpretation. Actively engage with its Socratic dialogue and integrity gates to ensure high-quality, verifiable research outputs.

Key insights

ARS augments human researchers with AI tools to enhance academic writing quality and integrity, avoiding common AI pitfalls.

Principles

• AI as copilot, not pilot
• Human-in-the-loop avoids AI failure modes
• Quality over AI detection evasion

Method

The ARS pipeline uses multi-agent teams, Socratic dialogue, integrity gates, and claim audits to guide research, writing, and peer review, ensuring human oversight.

In practice

• Install ARS via Claude Code CLI for academic assistance.
• Use `/ars-plan` for Socratic paper structure guidance.
• Enable `ARS_CLAIM_AUDIT=1` for citation verification.

Topics

• Claude Code Plugin
• Academic Research Pipeline
• AI-Human Collaboration
• Citation Hallucination Detection
• Claim Faithfulness Audit

Code references

• Imbad0202/academic-research-skills
• Imbad0202/academic-research-skills-codex
• Imbad0202/experiment-agent
• aspi6246/Claude-Code-Skills-for-Academics

Best for: AI Scientist, Research Scientist, AI Student

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Editorial summary, takeaway, and curation by AIssential. Original article published by Github Trending: All languages.