Can I use this for non-academic projects?

Absolutely. It features a 'knowledge_repository' mode designed for building internal AI assistants and domain exploration where a more lenient screening threshold is desired.

What is the i0 PRISMA Orchestrator skill?

It is a pipeline manager for Claude Code that coordinates multiple AI agents to perform systematic literature reviews, following the PRISMA 2020 standard from initial search to final data synthesis.

Does it require manual approval during the process?

Yes, the skill enforces mandatory human checkpoints at critical stages, such as database selection and the definition of inclusion/exclusion criteria, to ensure research integrity.

How does this skill handle the high cost of screening thousands of papers?

It implements a cost-optimized strategy using specialized providers like Groq for high-volume screening tasks, which can be up to 100x cheaper than using primary LLMs for repetitive evaluation.

PRISMA Systematic Review Orchestrator

Name: PRISMA Systematic Review Orchestrator
Author: HosungYou

byHosungYou

0•

Ciencia de Datos y ML

Automates and manages the end-to-end 7-stage PRISMA 2020 systematic literature review pipeline from research question to RAG system.

The i0 Orchestrator is a specialized Claude Code skill designed to streamline complex academic and professional literature reviews by coordinating a multi-agent workflow. It manages the complete PRISMA 2020 pipeline—including multi-database paper retrieval, automated deduplication, AI-powered screening, and RAG (Retrieval-Augmented Generation) database construction—while enforcing human-in-the-loop checkpoints for critical decisions. By utilizing cost-optimized LLM strategies and specialized agents, it allows researchers to efficiently process thousands of papers for both high-rigor systematic reviews and comprehensive domain-specific knowledge repositories.

Características Principales

01End-to-end PRISMA 2020 pipeline orchestration (Stages 1-7)

02Multi-agent delegation to specialized retrieval and screening assistants

03Human-in-the-loop checkpoints for database selection and screening criteria

04Hybrid LLM strategy for massive cost reduction during paper screening

05Automated RAG vector database construction and PRISMA diagram generation

060 GitHub stars

Casos de Uso

01Conducting publication-grade systematic literature reviews and meta-analyses

02Building large-scale AI research assistants and domain-specific knowledge bases

03Automating high-volume bibliometric data collection and deduplication

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add hosungyou/diverga i0

For use in Claude.ai and ChatGPT

Download Skill