Denario is a multiagent AI system designed as a Claude Code skill to automate the scientific research lifecycle, from initial data analysis and hypothesis generation to publishing LaTeX papers.

How does Denario handle experimental results?

The system can execute computational experiments using libraries like pandas, sklearn, and matplotlib to generate visualizations and research findings automatically based on your methodology.

Does Denario require specific programming knowledge?

Denario requires Python 3.12 or higher. While it offers a structured Python API for developers, it also includes a web-based GUI for interactive research management.

Can I use Denario for specific academic journals?

Yes, Denario supports multiple journal formats, including the American Physical Society (APS), and generates complete, publication-ready LaTeX source code.

What LLMs are supported by Denario?

Denario supports various LLM providers including Google Vertex AI, OpenAI, and other services compatible with AG2 and LangGraph frameworks.

Denario Scientific Research Assistant

Name: Denario Scientific Research Assistant
Author: Microck

byMicrock

•

Ciencia de Datos y ML

Automates end-to-end scientific research workflows from initial data analysis to publication-ready LaTeX manuscripts.

Denario is a comprehensive multiagent AI system designed to streamline the scientific discovery process and academic publication pipeline. Built on frameworks like AG2 and LangGraph, it coordinates specialized agents to handle complex research tasks including hypothesis generation, methodology design, computational experimentation, and journal-specific paper writing. By bridging the gap between raw data and academic submission, Denario provides a structured, reproducible environment that can either automate the entire research lifecycle or allow for manual intervention at any stage.

Características Principales

01Automated hypothesis generation from raw datasets

02Computational experiment execution and data visualization

03Publication-ready LaTeX paper generation for journals like APS

04Interactive GUI for visual research workflow management

05Multiagent orchestration for specialized scientific research tasks

0689 GitHub stars

Casos de Uso

01Accelerating literature reviews and hypothesis generation for new research projects

02Automating the generation of complex research methodologies and experimental results

03Converting research findings into professionally formatted LaTeX papers for journal submission

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add microck/ordinary-claude-skills denario

For use in Claude.ai and ChatGPT

Download Skill