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Imbad0202 avatar

Imbad0202/academic-research-skills

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32,007 stars·2,633 forks·Python·7 viewsbuymeacoffee.com/crucify020v↗

Academic Research Skills

This project is an LLM research workflow framework and academic writing automation tool designed to coordinate the research, drafting, and peer-review processes of scholarly papers. It functions as a scientific manuscript auditor and an AI peer review system that uses multi-agent evaluation to verify citation integrity and score manuscripts against quality rubrics.

The system distinguishes itself through a verification suite that employs vision models for figure fidelity auditing and anchor links for claim support verification. It includes a writing style calibration utility that analyzes previous work to match sentence rhythm and vocabulary, as well as a provenance tracking system that maintains experimental metadata to ensure manuscript claims align with original results.

The framework covers broad capability areas including deep research execution, systematic literature reviews, and bibliographic format transformation. It also provides tools for generating venue-specific AI usage disclosures that comply with publisher formatting policies and analyzes the depth of human-AI collaboration.

Features

  • Academic Writing Tools - Provides a comprehensive suite of tools for calibrating writing style, managing citations, and generating AI disclosures.
  • Provenance Trackers - Maintains a passport system of experimental data to ensure manuscript claims align with original results.
  • Multi-Agent Peer Reviews - Simulates a panel of diverse agents that score manuscripts against standardized quality rubrics.
  • Research Agents - Executes multi-agent research tasks including systematic reviews, guided exploration, and fact-checking via external services.

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Scientific Manuscript Drafting - Produces scholarly manuscripts using voice calibration and automated quality checks to ensure professional standards.
  • Manuscript Auditing - Provides a verification suite using vision models and anchor links to ensure figure fidelity and source accuracy in manuscripts.
  • Citation Integrity Verification - Cross-checks references against bibliographic indexes to detect hallucinations and verify claim faithfulness.
  • Research Workflow Automation - Coordinates the research, drafting, and peer-review process of academic papers using large language models.
  • Claim Support Verification - Fetches cited sources using anchor links to judge whether original texts actually support the claims made in a manuscript.
  • Claim Support Verifications - Implements claim verification by fetching original source text via anchor links to validate citations.
  • Research Automation Tools - Executes deep research pipelines and systematic reviews to gather evidence for academic claims.
  • Research Orchestration - Coordinates structured workflows to research, write, review, and finalize scholarly papers using automated plugins.
  • Manuscript Review Simulations - Conducts multi-perspective reviews using a panel of agents to score manuscripts against established quality rubrics.
  • AI Usage Disclosures - Applies publisher formatting policies to create AI usage statements for different academic journals.
  • Figure Fidelity Auditors - Uses image recognition models to compare figure captions against the visual data in documents.
  • Writing Style Calibrators - Analyzes previous writings to extract vocabulary and rhythm patterns for application in new drafts.
  • Multi-Stage Pipeline Processing - Coordinates a sequential workflow of research, drafting, and reviewing through defined integrity gates.
  • Research Provenance Passports - Records external experiment metadata in a passport system to audit whether manuscript claims align with original results.
  • Style Converters - Transforms bibliographic references between different academic styles such as APA, Chicago, and IEEE.
  • Style Converters - Maps citation data between different academic styles using standardized conversion rules.
  • Academic Rebuttals - Audits responses to reviewer comments by checking for coverage gaps, tone risks, and evidence strength.
  • Research Automation - Skill set for academic research agents.

    • Star history

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    Frequently asked questions

    What does imbad0202/academic-research-skills do?

    This project is an LLM research workflow framework and academic writing automation tool designed to coordinate the research, drafting, and peer-review processes of scholarly papers. It functions as a scientific manuscript auditor and an AI peer review system that uses multi-agent evaluation to verify citation integrity and score manuscripts against quality rubrics.

    What are the main features of imbad0202/academic-research-skills?

    The main features of imbad0202/academic-research-skills are: Academic Writing Tools, Provenance Trackers, Multi-Agent Peer Reviews, Research Agents, Scientific Manuscript Drafting, Manuscript Auditing, Citation Integrity Verification, Research Workflow Automation.

    What are some open-source alternatives to imbad0202/academic-research-skills?

    Open-source alternatives to imbad0202/academic-research-skills include: hzwer/writingaipaper — WritingAIPaper is a suite of tools designed for automating the structuring, drafting, and auditing of academic… aiming-lab/autoresearchclaw — AutoResearchClaw is an agentic system designed to automate the scientific research process. It functions as an… kaixindelele/chatpaper — ChatPaper is a suite of AI agents and utilities designed for academic literature automation, manuscript editing, and… pengsida/learning_research — This project is an academic research framework and PhD mentorship roadmap designed to guide the transition from basic… zechenzhangagi/ai-research-skills — This project is a comprehensive AI research workflow framework and skill library designed to transform general large… wanshuiyin/auto-claude-code-research-in-sleep — This project is a machine learning research automation system designed to manage the full research lifecycle, from…