What is the Denario Claude Code skill?

Denario is a specialized skill for Claude Code that leverages multiagent AI to automate scientific research tasks, including hypothesis generation, experimental analysis, and LaTeX manuscript preparation.

Which journal formats does Denario support?

Denario currently supports several formats including the American Physical Society (APS) style, with more journal templates available through its research pipeline configuration.

Do I need specific LLM API keys to use Denario?

Yes, Denario requires API keys from supported providers such as Google Vertex AI or OpenAI to power the underlying AG2 and LangGraph agents.

Does Denario handle data visualization?

Yes, during the results generation stage, Denario can execute Python-based analysis and create visualizations that are then integrated into the final LaTeX publication.

Can I provide my own research methodology?

Yes, while Denario can auto-generate methodologies, it also allows you to input custom markdown files or specific instructions to guide the research process.

Denario: Scientific Research Automator

Name: Denario: Scientific Research Automator
Author: x-cmd

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データサイエンスとML

Automates end-to-end scientific research workflows from data-driven hypothesis generation to publication-ready LaTeX manuscripts.

概要

Denario is a sophisticated multiagent AI system designed to streamline the entire scientific research lifecycle. By orchestrating specialized agents through the AG2 and LangGraph frameworks, it assists researchers in transforming raw data into structured knowledge. The skill handles complex tasks including hypothesis generation, methodology development, computational execution, and the production of journal-formatted LaTeX papers. Whether you are exploring new research directions or need to automate the repetitive aspects of manuscript preparation, Denario provides a rigorous, reproducible pipeline for modern scientific inquiry.

主な機能

Publication-ready LaTeX generation with support for major journal formats
Automated hypothesis and research idea generation from datasets
Execution of computational experiments and data visualizations
Multiagent orchestration for structured methodology development
Web-based GUI for interactive research workflow management
8 GitHub stars

ユースケース

Developing and testing standardized research methodologies using AI agents
Automating the transition from data analysis results to formatted academic papers
Generating novel research hypotheses from time-series or experimental datasets

概要

主な機能

Publication-ready LaTeX generation with support for major journal formats
Automated hypothesis and research idea generation from datasets
Execution of computational experiments and data visualizations
Multiagent orchestration for structured methodology development
Web-based GUI for interactive research workflow management
8 GitHub stars

ユースケース

Developing and testing standardized research methodologies using AI agents
Automating the transition from data analysis results to formatted academic papers
Generating novel research hypotheses from time-series or experimental datasets