denario
Multiagent AI system for scientific research assistance that automates research workflows from data analysis to publication. This skill should be used when generating research ideas from datasets, developing research methodologies, executing computational experiments, performing literature searches, or generating publication-ready papers in LaTeX format. Supports end-to-end research pipelines with customizable agent orchestration.
npx skills add LeonChaoX/qinyan-academic-skills --skill denario --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Denario ## Overview Denario is a multiagent AI system designed to automate scientific research workflows from initial data analysis through publication-ready manuscripts. Built on AG2 and LangGraph frameworks, it orchestrates multiple specialized agents to handle hypothesis generation, methodology development, computational analysis, and paper writing. ## When to Use This Skill Use this skill when: - Analyzing datasets to generate novel research hypotheses - Developing structured research methodologies - Executing computational experiments and generating visualizations - Conducting literature searches for research context - Writing journal-formatted LaTeX papers from research results - Automating the complete research pipeline from data to publication ## Installation Install denario using uv (recommended): ```bash uv init uv add "denario[app]" ``` Or using pip: ```bash uv pip install "denario[app]" ``` For Docker deployment or building from source, see `references/installation.md`. ## LLM API Configuration Denario requires API keys from supported LLM providers. Supported providers include: - Google Vertex AI - OpenAI - Other LLM services compatible with AG2/LangGraph Store API ke
- Overview
- When to Use This Skill
- Installation
- LLM API Configuration
- Core Research Workflow
- 1. Data Description
- 2. Idea Generation
- 3. Methodology Development
- 4. Results Generation
- 5. Paper Generation
- Available Journals
- Launching the GUI
- Common Workflows
- End-to-End Research Pipeline
uv init uv add "denario[app]" uv pip install "denario[app]" denario run
What does the denario skill do?
Multiagent AI system for scientific research assistance that automates research workflows from data analysis to publication. This skill should be used when generating research ideas from datasets, developing research methodologies, executing computational experiments, performing literature searches, or generating publication-ready papers in LaTeX format. Supports end-to-end research pipelines with customizable agent orchestration.
How do I install it?
Run `npx skills add LeonChaoX/qinyan-academic-skills --skill denario --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From LeonChaoX/qinyan-academic-skills, a repository with 759 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.