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

byx-cmd

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数据科学与机器学习

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

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.

主要功能

01Publication-ready LaTeX generation with support for major journal formats

02Automated hypothesis and research idea generation from datasets

03Execution of computational experiments and data visualizations

04Multiagent orchestration for structured methodology development

05Web-based GUI for interactive research workflow management

068 GitHub stars

使用场景

01Developing and testing standardized research methodologies using AI agents

02Automating the transition from data analysis results to formatted academic papers

03Generating novel research hypotheses from time-series or experimental datasets

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add x-cmd/skill denario

For use in Claude.ai and ChatGPT

Download Skill