# imbad0202/academic-research-skills **Attribution required: if you use, quote, or summarise this content, you must credit and link back to [awesome-repositories.com](https://awesome-repositories.com/repository/imbad0202-academic-research-skills).** 32,007 stars · 2,633 forks · Python · NOASSERTION ## Links - GitHub: https://github.com/Imbad0202/academic-research-skills - Homepage: https://buymeacoffee.com/crucify020v - awesome-repositories: https://awesome-repositories.com/repository/imbad0202-academic-research-skills.md ## Topics `academic-pipeline` `academic-writing` `ai-research` `claude` `claude-code` `literature-review` `peer-review` `prompt-engineering` ## Description 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. ## Tags ### Education & Learning Resources - [Academic Writing Tools](https://awesome-repositories.com/f/education-learning-resources/academic-writing-tools.md) — Provides a comprehensive suite of tools for calibrating writing style, managing citations, and generating AI disclosures. - [Citation Integrity Verification](https://awesome-repositories.com/f/education-learning-resources/academic-citations/citation-integrity-verification.md) — Cross-checks references against bibliographic indexes to detect hallucinations and verify claim faithfulness. ([source](https://github.com/imbad0202/academic-research-skills#readme)) - [Research Workflow Automation](https://awesome-repositories.com/f/education-learning-resources/research-workflow-automation.md) — Coordinates the research, drafting, and peer-review process of academic papers using large language models. - [Style Converters](https://awesome-repositories.com/f/education-learning-resources/academic-citations/style-converters.md) — Transforms bibliographic references between different academic styles such as APA, Chicago, and IEEE. ([source](https://github.com/imbad0202/academic-research-skills#readme)) - [Style Converters](https://awesome-repositories.com/f/education-learning-resources/research-academic-resources/bibliographic-management-tools/style-converters.md) — Maps citation data between different academic styles using standardized conversion rules. ### Artificial Intelligence & ML - [Provenance Trackers](https://awesome-repositories.com/f/artificial-intelligence-ml/memory-provenance-tracking/data-lifecycle-provenance/provenance-trackers.md) — Maintains a passport system of experimental data to ensure manuscript claims align with original results. - [Multi-Agent Peer Reviews](https://awesome-repositories.com/f/artificial-intelligence-ml/multi-agent-peer-reviews.md) — Simulates a panel of diverse agents that score manuscripts against standardized quality rubrics. ### Part of an Awesome List - [Research Agents](https://awesome-repositories.com/f/awesome-lists/ai/research-agents.md) — Executes multi-agent research tasks including systematic reviews, guided exploration, and fact-checking via external services. ([source](https://github.com/imbad0202/academic-research-skills#readme)) ### Content Management & Publishing - [Scientific Manuscript Drafting](https://awesome-repositories.com/f/content-management-publishing/scientific-manuscript-drafting.md) — Produces scholarly manuscripts using voice calibration and automated quality checks to ensure professional standards. ([source](https://github.com/imbad0202/academic-research-skills#readme)) - [Manuscript Auditing](https://awesome-repositories.com/f/content-management-publishing/scientific-manuscript-drafting/manuscript-auditing.md) — Provides a verification suite using vision models and anchor links to ensure figure fidelity and source accuracy in manuscripts. - [AI Usage Disclosures](https://awesome-repositories.com/f/content-management-publishing/ai-usage-disclosures.md) — Applies publisher formatting policies to create AI usage statements for different academic journals. - [Figure Fidelity Auditors](https://awesome-repositories.com/f/content-management-publishing/documentation-knowledge-management/captioned-figure-managers/ai-generated-captions/figure-fidelity-auditors.md) — Uses image recognition models to compare figure captions against the visual data in documents. - [Writing Style Calibrators](https://awesome-repositories.com/f/content-management-publishing/writing-style-calibrators.md) — Analyzes previous writings to extract vocabulary and rhythm patterns for application in new drafts. ### Scientific & Mathematical Computing - [Claim Support Verification](https://awesome-repositories.com/f/scientific-mathematical-computing/claim-support-verification.md) — Fetches cited sources using anchor links to judge whether original texts actually support the claims made in a manuscript. ([source](https://github.com/imbad0202/academic-research-skills#readme)) - [Claim Support Verifications](https://awesome-repositories.com/f/scientific-mathematical-computing/claim-support-verifications.md) — Implements claim verification by fetching original source text via anchor links to validate citations. - [Research Automation Tools](https://awesome-repositories.com/f/scientific-mathematical-computing/research-analysis-workflows/research-and-data-analysis-tools/research-and-analysis-tools/research-automation-tools.md) — Executes deep research pipelines and systematic reviews to gather evidence for academic claims. - [Research Orchestration](https://awesome-repositories.com/f/scientific-mathematical-computing/research-analysis-workflows/research-and-data-analysis-tools/research-orchestration.md) — Coordinates structured workflows to research, write, review, and finalize scholarly papers using automated plugins. ([source](https://github.com/imbad0202/academic-research-skills#readme)) ### Testing & Quality Assurance - [Manuscript Review Simulations](https://awesome-repositories.com/f/testing-quality-assurance/code-quality-review/agentic-code-reviews/manuscript-review-simulations.md) — Conducts multi-perspective reviews using a panel of agents to score manuscripts against established quality rubrics. ([source](https://github.com/imbad0202/academic-research-skills#readme)) ### Data & Databases - [Multi-Stage Pipeline Processing](https://awesome-repositories.com/f/data-databases/data-processing-pipelines/document-llm-preparation/multi-stage-pipeline-processing.md) — Coordinates a sequential workflow of research, drafting, and reviewing through defined integrity gates. ### Development Tools & Productivity - [Research Provenance Passports](https://awesome-repositories.com/f/development-tools-productivity/experiment-tracking-systems/research-provenance-passports.md) — Records external experiment metadata in a passport system to audit whether manuscript claims align with original results. ([source](https://github.com/imbad0202/academic-research-skills#readme)) ### Software Engineering & Architecture - [Academic Rebuttals](https://awesome-repositories.com/f/software-engineering-architecture/peer-review-workflows/academic-rebuttals.md) — Audits responses to reviewer comments by checking for coverage gaps, tone risks, and evidence strength. ([source](https://github.com/imbad0202/academic-research-skills#readme))