gpd-new-project

Automate physics research project initialization using the GPD CLI and Python environment to streamline context gathering and generate essential project documents automatically. It guides you through defining research goals, scoping, literature surveys, and creating roadmaps.

Yes, you can quickly set up computational physics project documents using automatic or minimal initialization modes. These modes generate essential files like PROJECT.md, REQUIREMENTS.md, and ROADMAP.md with minimal manual input.

Scoping a new material science research workflow generates a structured directory including .gpd/PROJECT.md, .gpd/config.json, .gpd/research/, .gpd/REQUIREMENTS.md, .gpd/ROADMAP.md, and .gpd/STATE.md files to track project status and requirements.

Yes, you need the GPD CLI and a Python environment to set up experimental design research workflows. The initialization process relies on these dependencies to guide context gathering and generate the required project documentation.

The best way to define research goals and create a roadmap for computational research is through a unified initialization flow that questions your objectives, approves a scoping contract, and automatically generates a structured ROADMAP.md file.