academic-research-skills — What is it?

Imbad0202/academic-research-skills is an open-source tool designed to assist researchers in the academic research process, from initial research to final publication, use AI to enhance efficiency and integrity.

⭐ 37,419 Stars 🍴 3,055 Forks Python NOASSERTION Author: Imbad0202
Source: Official README and linked documentation View on GitHub →

Why it matters

This project is being discussed because its coverage to academic research support, addressing the pain points of research integrity and efficiency. Its unique technical choice of human-in-the-loop AI, combined with a pipeline architecture, differs through the field of academic research tools.

Source: Official README and linked documentation

Core Features

Deep Research

Utilizes a 13-agent research team with Socratic dialogue, systematic review, and citation verification to support broad research activities.

Source: Official repository
Academic Paper

Facilitates paper writing with style calibration, quality checks, and LaTeX support, ensuring high-quality academic writing.

Source: Official repository
Academic Paper Reviewer

Enables multi-perspective peer review with quality rubrics and dynamic reviewers, enhancing the review process.

Source: Official repository
Academic Pipeline

Orchestrates a 10-stage pipeline with adaptive checkpoints, claim verification, and reproducibility locking to ensure research integrity.

Source: Official repository

Architecture

The architecture is modular, with distinct stages for research, writing, reviewing, and finalizing. It employs a human-in-the-loop approach, integrating AI with human oversight. Key technical decisions include data flow management and integrity verification mechanisms.

Source: Official repository tree and dependency files

Project Knowledge Graph

Knowledge graph: project (center) + core features (inner hexagons) + key dependencies (outer chips) Semantic Scholar APISemantic Schol… Pandoc tectonic Deep Research Academic Paper Academic Paper ReviewerAcademic Paper Revi… Academic Pipeline academic-research-sk… Project Core feature Key dependency

Tech Stack

LanguagePythonFrameworkClaude Code
Semantic Scholar APIPandoctectonic
Not enough information.
Source: Official README and linked documentation

Quick Start

Install Claude Code, export ANTHROPIC_API_KEY, and run the following commands: /plugin marketplace add Imbad0202/academic-research-skills /plugin install academic-research-skills
Source: Official README and linked documentation

Use Cases

This project is for academic researchers and writers who need assistance with the research and publication process. It is useful for those working on papers, systematic reviews, and other academic writing tasks.

Source: Official README and linked documentation

Strengths & Limitations

Strengths

  • support for academic research and writing.
  • Human-in-the-loop approach to maintain research integrity.
  • pipeline architecture for efficient research processes.

Limitations

  • Limited information on infrastructure requirements.
  • May require technical expertise to set up and use effectively.
Source: Official README and linked documentation

Latest Release

As of 2026-09-23, the latest release is v3.22.0, released on 2026-09-16. This version adds the output language to the contract and locale track, adds revision-coach and citation-check two sets of plugin eval, and fixes Windows lock, cross-model transmission and audit provenance; release explicitly does not claim to measure quality improvement.

Source: github.com/Imbad0202/academic-research-skills/releases/tag/v3.22.0

Verification and evidence

status: docs-only  |  checked_at: 2026-09-23  |  environment: Check only official README, control_availability, data_flows, license and v3.22.0 release  |  limitations: No local installation or runtime verification was performed. No plugins installed, no ars-plan, lit-review, claim audit, reviewer calibration, cross-model check or PDF/DOCX generation running; no academic claims validated  |  observed_output: The official latest release is v3.22.0, released on 2026-09-16; v3.7.0+ refers to the plugin installation caliber, and v3.8 is the introduction version of opt-in claim audit, which is not the current latest version.

Source: github.com/Imbad0202/academic-research-skills/releases/tag/v3.22.0

Comparison

SakanaAI's AI Scientist aims to automatically generate ideas, experiments, papers, and reviews; ARS retains the investigator at each checkpoint and uses citations, source of materials, and revision records as the primary control surface. Look at AI Scientists when you need to study automated experimental systems; ARS is closer when you need to add visible checkpoints during human-led papers.

Source: github.com/SakanaAI/AI-Scientist

Verdict

Imbad0202/academic-research-skills is a tool for academic researchers seeking to enhance their research and writing processes with AI assistance. Its broad features and pipeline architecture make it suitable for researchers who require support in maintaining research integrity and efficiency.

Source: Official repository

Frequently Asked Questions

What did the documentation review verify for academic-research-skills on 2026-09-23?

The official latest release is v3.22.0, released on 2026-09-16; v3.7.0+ refers to the plugin installation caliber, and v3.8 is the introduction version of opt-in claim audit, which is not the current latest version. No local installation or runtime verification was performed.

What evidence boundary applies to this academic-research-skills review?

The review environment was: Check only official README, control_availability, data_flows, license and v3.22.0 release academic-research-skills behavior outside that scope still needs a local check.

Sources and review scope
This review is based on the project's public documentation. Versions, installation commands, and feature boundaries can change upstream; check the cited sources and current release before use. Sources checked on: 2026-09-23 13:55.

Reference materials: README, GitHub API, dependency files