paper-writing

To generate a research paper from SWARM experiment data, use the paper-writing Skill to process sqlite3 and pandas data, automatically populating markdown methods, results tables, and figure references.

Yes, you can auto-populate methods and results tables using SWARM run data; the Skill extracts experimental results and formats them directly into markdown tables within the generated paper skeleton.

Automating paper scaffolding for multi-agent AI safety research requires Python's sqlite3, pandas, and the SWARM framework to process experimental data and populate the markdown research paper structure.

Paper generation works directly with sqlite3 and pandas for data analysis, querying SWARM experimental databases to extract metrics and automatically inserting them into academic paper sections.

You can customize the paper structure for a SWARM research paper by defining the markdown template sections; the Skill ensures all necessary sections for a SWARM paper are included and populated with data.

The limitations of automated paper generation are that it creates a pre-populated markdown skeleton with tables and references rather than a finished paper, and it is restricted to processing SWARM framework experiment data exclusively.