Coordinate multiple agents to transform data into publication-ready LaTeX manuscripts.
npx skills add https://github.com/rubensliv/k-dense-ai --skill denario-rubensliv
Please help me install this Agent Skill. Skill: denario Source: https://github.com/rubensliv/k-dense-ai/tree/main/scientific-skills/denario Command: npx skills add https://github.com/rubensliv/k-dense-ai --skill denario-rubensliv
Denario automates end-to-end scientific research workflows by coordinating multiple AI agents to handle hypothesis generation, methodology development, data analysis, literature search, and publication-quality paper writing. This reduces manual drudgery and accelerates insights from data to dissemination.
Initialize a new Denario project, set your data context with set_data_description, then run the automated idea-to-paper pipeline.
High-intent search queries and answers about installing and using this skill.
You can automate scientific research workflows by using multiagent orchestration to coordinate hypothesis generation, methodology design, computational analysis, literature searches, and LaTeX paper production, transforming raw data into publication-ready manuscripts.
Multiagent orchestration coordinates specialized AI agents for ideas, methods, execution, and writing using frameworks like AG2 and LangGraph, systematically transforming data descriptions into formatted LaTeX manuscripts with reproducible outputs.
Docker is not strictly required because the pipeline supports installation via uv, but containerized deployment in Docker is available to ensure reproducible computational analyses, literature searches, and consistent research pipeline execution.
Initialize a new project, set your data context using the set_data_description command, then run the automated idea-to-paper pipeline via the denario run command or GUI to generate hypotheses, methodologies, and results.
Yes, workflows are flexible and customizable, allowing you to coordinate multiagent execution for specific journal-formatting requirements and produce publication-ready LaTeX manuscripts tailored to your target journal.
While multiagent orchestration accelerates methodology design and computational analyses, users must validate the generated hypotheses and reproducible outputs, as automated research pipelines require human oversight for scientific accuracy.
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