Which journal formats does Denario support for paper generation?

Denario currently supports the American Physical Society (APS) format, with options to support additional journals through its extensible research pipeline.

Can I provide my own research ideas to Denario?

Yes, Denario supports hybrid workflows where you can manually set your own research hypotheses or methodologies and have the AI automate the remaining execution and writing steps.

Denario is a multiagent AI skill for Claude Code designed to automate complex scientific research tasks, including data analysis, methodology design, and professional paper writing.

Does this skill include a graphical interface?

Yes, Denario features a web-based GUI that can be launched via the terminal to manage your research projects interactively.

Does Denario require specific LLM API keys?

Yes, Denario requires API keys from supported providers like Google Vertex AI or OpenAI to power its multiagent orchestration.

Denario Research Assistant

Name: Denario Research Assistant
Author: Activer007

byActiver007

数据科学与机器学习

Automates the entire scientific research lifecycle from data analysis and hypothesis generation to producing publication-ready LaTeX manuscripts.

关于

Denario is a sophisticated multiagent AI system designed to streamline scientific workflows by orchestrating specialized agents for hypothesis generation, methodology development, and computational analysis. Built on the AG2 and LangGraph frameworks, it empowers researchers to transform raw datasets into structured findings and formatted papers for journals like APS. The skill offers both fully automated end-to-end pipelines and hybrid workflows that allow for human-in-the-loop customization at any stage of the research process.

主要功能

Publication-ready LaTeX paper generation for journals
Automated hypothesis generation from raw datasets
0 GitHub stars
Structured methodology development and execution
Multiagent orchestration using AG2 and LangGraph
Interactive GUI for research workflow management

使用场景

Executing computational experiments and generating reproducible results
Automating the creation of journal-formatted LaTeX manuscripts with figures
Generating novel research ideas and hypotheses from complex datasets

关于

主要功能

Publication-ready LaTeX paper generation for journals
Automated hypothesis generation from raw datasets
0 GitHub stars
Structured methodology development and execution
Multiagent orchestration using AG2 and LangGraph
Interactive GUI for research workflow management

使用场景

Executing computational experiments and generating reproducible results
Automating the creation of journal-formatted LaTeX manuscripts with figures
Generating novel research ideas and hypotheses from complex datasets