Do I need specific API keys to use this skill?

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

Which journal formats does Denario support?

It currently supports American Physical Society (APS) formats and provides customizable LaTeX output for various publication venues.

Can Denario handle the entire research process?

Yes, it follows a structured five-stage pipeline: data description, idea generation, methodology development, results generation, and paper writing.

Denario is a multiagent AI system for Claude Code that automates the entire scientific research workflow, including analysis, methodology, and paper writing.

What are the technical requirements for Denario?

It requires Python 3.12 or higher and is best installed using the uv package manager or via Docker to manage LaTeX dependencies.

Denario Scientific Research Assistant

Name: Denario Scientific Research Assistant
Author: Microck

byMicrock

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108

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数据科学与机器学习

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

Denario is a sophisticated multiagent AI system designed to streamline the scientific research process by orchestrating specialized agents through AG2 and LangGraph frameworks. It assists researchers at every stage of the pipeline, including data analysis, hypothesis formulation, methodology design, computational experimentation, and final manuscript preparation in journal-specific LaTeX formats. It is particularly valuable for scientists and data researchers looking to accelerate their discovery process or automate the tedious formatting and visualization tasks associated with academic publishing.

主要功能

01End-to-end research pipeline automation from data to publication

02Publication-ready LaTeX paper generation with support for major journal formats

03Multiagent orchestration using AG2 and LangGraph for complex research tasks

04108 GitHub stars

05Automated hypothesis generation and methodology development from raw datasets

06Execution of computational experiments with integrated visualization generation

使用场景

01Automating the writing and formatting of academic papers for specific journal submissions

02Developing and executing reproducible computational workflows for scientific data analysis

03Generating novel research hypotheses and experimental designs from large scientific datasets

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