Open-source Claude Code skills for AI-assisted research workflows: diagnostics, modeling, manuscript-section drafting, LaTeX assembly, and review checkpoints.

End-to-end automated EEG analysis to manuscript pipeline (MNE-BIDS → AI writing → Manubot/Carbone)

Open-source Claude Code skills for AI-assisted statistical research workflows: assumption checks, test selection, modeling, manuscript-section drafting, and review checkpoints.

Project Vyasa is a local-first research execution framework for DGX Spark that helps researchers, journal authors, and domain experts turn unstructured documents into defensible, evidence-bound manuscripts for high-stakes, long-running inquiry. It keeps humans in control of judgment while AI handles extracting, validating, and governing evidence.