BeClaude

research-assistant

4Community RegistryGeneralby Aaron Storey · MIT

Complete research workflow assistant with PRISMA 2020, NIH rigor standards, statistical analysis, and AI-detection capabilities

First seen 4/17/2026

Summary

This skill transforms Claude Code into a comprehensive research assistant, guiding users through systematic literature reviews with PRISMA 2020 checklists, ensuring NIH rigor standards, performing statistical analysis, and detecting AI-generated content.

  • It is ideal for PhD students, researchers, and developers who need to produce high-quality, reproducible academic work efficiently.

Install & Usage

1
Add a marketplace
/plugin marketplace add <org/repo>
2
Install the plugin

Add the configuration to /plugin install research-assistant@<marketplace>

3
Manage with /plugin
/plugin

Use Cases

Conduct a systematic literature review using the PRISMA 2020 framework, including flow diagram generation and bias assessment.
Apply NIH rigor and reproducibility standards to a research protocol or manuscript draft.
Perform statistical analysis on a dataset, including descriptive statistics, hypothesis testing, and regression modeling.
Detect AI-generated text in academic submissions or peer-reviewed content using built-in analysis tools.
Generate a formatted academic paper section (e.g., methods, results) with proper citations and adherence to journal guidelines.
Automate reference management and citation formatting in APA, MLA, or Chicago style.

Usage Examples

1

/research-assistant Conduct a PRISMA 2020 systematic review on the effects of remote work on productivity, including a flow diagram and risk of bias table.

2

/research-assistant Analyze this CSV dataset with descriptive statistics, t-tests, and a linear regression model, then output a results section.

3

/research-assistant Check this manuscript for AI-generated content and provide a confidence score for each paragraph.

View source on GitHub
researchphdprismanihstatisticsliterature-reviewai-detectionacademic-writing

Security Audits

LicensePassSourceWarnRepositoryPass

Frequently Asked Questions

What is research-assistant?

This skill transforms Claude Code into a comprehensive research assistant, guiding users through systematic literature reviews with PRISMA 2020 checklists, ensuring NIH rigor standards, performing statistical analysis, and detecting AI-generated content. It is ideal for PhD students, researchers, and developers who need to produce high-quality, reproducible academic work efficiently.

How to install research-assistant?

To install research-assistant: add a marketplace (/plugin marketplace add <org/repo>), then add the config to /plugin install research-assistant@<marketplace>. Finally, /plugin in Claude Code.

What is research-assistant best for?

research-assistant is a plugin categorized under General. It is designed for: research, phd, prisma, nih, statistics, literature-review, ai-detection, academic-writing. Created by Aaron Storey.

What can I use research-assistant for?

research-assistant is useful for: Conduct a systematic literature review using the PRISMA 2020 framework, including flow diagram generation and bias assessment.; Apply NIH rigor and reproducibility standards to a research protocol or manuscript draft.; Perform statistical analysis on a dataset, including descriptive statistics, hypothesis testing, and regression modeling.; Detect AI-generated text in academic submissions or peer-reviewed content using built-in analysis tools.; Generate a formatted academic paper section (e.g., methods, results) with proper citations and adherence to journal guidelines.; Automate reference management and citation formatting in APA, MLA, or Chicago style..