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academic-research-skills Review
Academic Research Skills for Claude Code is a suite of Claude Code skills designed to assist academic researchers throughout the entire research and publication pipeline.
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1The open-source project has garnered 16,000 stars and 1,400 forks on GitHub as of May 18, 2026.
2Version 3.7.1 introduced 'trust-chain frontmatter' to counter an estimated 146,932 hallucinated citations observed in 2025.
3The system employs a 13-agent research team and a 12-agent paper writing system for comprehensive academic support.
4Version 2.9, released on March 27, 2026, added 'Style Calibration' and 'Writing Quality Check' functionalities.
academic-research-skills at a Glance
About academic-research-skills
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overview
What is academic-research-skills?
academic-research-skills is a Claude Code skills suite developed by Edward Wu (user "crucify020v") that enables academic researchers to manage the entire research and publication pipeline. It is an open-source project available on GitHub, designed to handle tasks from deep research to final paper review. The tool aims to automate the "grunt work" of academic research, allowing users to concentrate on critical thinking and interpretation. It emphasizes a human-augmented AI approach to mitigate common AI failure modes, such as hallucinated results and fabricated methodology, which have been observed in fully autonomous AI research systems. The project's philosophy promotes "AI literacy," encouraging deep engagement with AI to understand its structural limits and enhance human research capabilities.
quick facts
Quick Facts
| Attribute | Value |
|---|---|
| Developer | Edward Wu (user "crucify020v") |
| Business Model | Open Source (with freemium support) |
| Pricing | Freemium |
| Platforms | Claude Code |
| API Available | Yes (Semantic Scholar API) |
| Integrations | Semantic Scholar API, LaTeX |
| URL | https://buymeacoffee.com/crucify020v |
features
Key Features of academic-research-skills
academic-research-skills provides a comprehensive set of functionalities designed to support the academic research and publication process, leveraging a multi-agent Claude Code architecture. These features address various stages, from initial data gathering and analysis to manuscript preparation and integrity verification.
- 113-agent Deep Research system, including Socratic guided mode, PRISMA systematic review, intent detection, and dialogue health monitoring.
- 212-agent Academic Paper Writing system, featuring Style Calibration, Writing Quality Check, LaTeX hardening, and VLM figure verification.
- 3Integrity Verification, incorporating "trust-chain frontmatter for source provenance" to combat citation hallucinations (introduced in Version 3.7.1).
- 4Simulated Peer Review, capable of generating reviewer reports and editorial decision letters based on provided manuscripts.
- 5Socratic Coaching, offering guided dialogue to assist users with paper structure and research planning.
- 6Optional cross-model data analysis for enhanced research capabilities.
- 7Citation conversion and verification through the Semantic Scholar API.
- 8Identification of patterns characteristic of machine-generated prose to improve writing quality (introduced in Version 2.9).
use cases
Who Should Use academic-research-skills?
academic-research-skills is specifically engineered for individuals engaged in rigorous academic inquiry and scholarly publication. Its modular design and comprehensive pipeline support cater to various roles within the academic ecosystem, aiming to augment human capabilities rather than replace them.
- 1Academics: For orchestrating the full research pipeline, from conducting systematic reviews and literature reviews to drafting, reviewing, and finalizing academic papers.
- 2Researchers: For performing deep research, fact-checking claims, ensuring citation integrity, and mitigating risks associated with AI-generated content.
- 3Students: For structuring academic papers, improving writing quality through Socratic coaching, and understanding the nuances of academic review processes.
pricing
academic-research-skills Pricing & Plans
academic-research-skills operates on a freemium model. The core Claude Code skills suite is available as an open-source project on GitHub, allowing users to access and implement the tools without direct cost. Financial support for the developer, Edward Wu (user "crucify020v"), is facilitated through a "Buy Me a Coffee" page, which currently shows two supporters. Specific paid tiers or subscription plans are not formally outlined, but voluntary contributions are accepted to support ongoing development.
- 1Freemium: Core open-source Claude Code skills available on GitHub for free use.
- 2Support: Voluntary contributions via the "Buy Me a Coffee" page to support development.
competitors
academic-research-skills vs Competitors
academic-research-skills positions itself as a comprehensive, human-augmented AI solution for the entire academic research pipeline, contrasting with fully autonomous AI systems that may suffer from issues like hallucinated results. It differentiates itself by offering a structured, multi-agent Claude Code environment focused on integrity and user-guided research.
1
Jenni AIโ
Jenni AI helps researchers write alongside AI, grounding suggestions in real papers and automatically managing citations to ensure academic integrity.
Similar to 'Academic Research Skills,' Jenni AI supports the entire academic writing process from research to citation. Its focus on source-based generation and direct integration with reference managers like Zotero and Mendeley provides a robust research and writing environment.
2
Paperpalโ
Paperpal is an all-in-one AI academic writing assistant specifically trained on published research articles to provide real-time, context-aware writing and editing assistance.
Paperpal offers a comprehensive suite of tools for writing, editing, and submission checks, aligning closely with the 'write โ review โ revise โ finalize' stages. Its academic-specific training and integration across multiple platforms (MS Word, Google Docs, Overleaf) differentiate its application.
3
Thesifyโ
Thesify acts as an expert reviewer, providing structured feedback on argument flow, clarity, and evidence to help transform early drafts into publishable manuscripts.
While 'Academic Research Skills' covers review and revise, Thesify specializes in this area by offering diagnostic feedback on structure, argumentation, and evidence, which is more akin to a human reviewer than a general writing assistant. It focuses on strengthening the user's own writing rather than generating content.
4
SciSpaceโ
SciSpace is an AI-powered academic assistant that automates various research tasks, from reading and literature review to drafting manuscripts and generating diagrams, aiming for an all-in-one research workflow.
SciSpace offers a broader range of functionalities, encompassing literature discovery, paper reading/understanding, and drafting, which covers the 'research โ write' aspects extensively. Its ability to interact with uploaded papers and provide citations from a vast database makes it a strong competitor for comprehensive academic support.
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Frequently Asked Questions
+What is academic-research-skills?
academic-research-skills is a Claude Code skills suite developed by Edward Wu (user "crucify020v") that enables academic researchers to manage the entire research and publication pipeline. It is an open-source project available on GitHub, designed to handle tasks from deep research to final paper review.
+Is academic-research-skills free?
Yes, academic-research-skills operates on a freemium model. The core Claude Code skills suite is available as an open-source project on GitHub without direct cost. Voluntary contributions to the developer, Edward Wu, are accepted via a "Buy Me a Coffee" page.
+What are the main features of academic-research-skills?
Key features include a 13-agent Deep Research system with Socratic guided mode, a 12-agent Academic Paper Writing system with Style Calibration and LaTeX hardening, Integrity Verification with "trust-chain frontmatter," Simulated Peer Review, and Socratic Coaching for research planning and paper structure.
+Who should use academic-research-skills?
academic-research-skills is primarily designed for academics, researchers, and students who require comprehensive support throughout the academic research and publication process, including deep research, paper drafting, quality review, and fact-checking.
+How does academic-research-skills compare to alternatives?
academic-research-skills differentiates itself by offering a human-augmented, multi-agent Claude Code solution for the entire research pipeline, with a strong focus on integrity verification and mitigating AI-specific failure modes. Unlike tools like Jenni AI or Paperpal, which focus on specific writing or editing aspects, or SciSpace, which offers broader automation, academic-research-skills provides a structured framework for deep research, writing, and review within the Claude Code environment.
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