AI-powered Academic Research Assistant Suite
3.0k 2026-04-18
Imbad0202/academic-research-skills
An AI-augmented toolkit for academic research, streamlining the entire pipeline from initial research to final publication with human-in-the-loop integrity.
Core Features
Deep Research with a 13-agent team, Socratic guided mode, and Semantic Scholar API verification.
Academic Paper writing featuring Style Calibration, Writing Quality Check, and LaTeX hardening.
Multi-perspective peer review by a 7-agent team, including quality rubrics and concession threshold protocol.
A 10-stage Academic Pipeline orchestrator with adaptive checkpoints and claim verification.
Detailed Introduction
This project offers a comprehensive suite of Claude Code skills designed to augment academic researchers throughout their entire workflow, from initial research to publication. Emphasizing a 'human-in-the-loop' approach, it tackles the limitations of fully autonomous AI by integrating integrity gates and verification steps. It handles laborious tasks like reference hunting, citation formatting, and data verification, allowing researchers to focus on critical thinking, methodology, and interpretation, ultimately aiming to enhance the quality and integrity of academic output.