gpd-research-phase

To structure research planning for a standalone physics phase, load the phase context, validate it against the roadmap, and spawn a research agent to investigate feasibility and methodology. This process generates a formal RESEARCH.md draft to guide project execution.

A RESEARCH.md draft in physics phase analysis is a formal artifact produced by agent orchestration that documents phase descriptions, requirements, prior decisions, and method proposals. It provides the foundational context needed before planning and executing physics project phases.

To validate phase readiness before starting physics research, orchestration checks the phase against the existing roadmap and collects relevant context including descriptions, requirements, and prior decisions. This validation ensures the phase is viable before spawning a researcher agent.

Yes, you can use GPD orchestration for standalone phase planning without a full project. The orchestration loads specific phase context, resolves a researcher model independently, and outputs the research draft directly to the designated phase directory.

The best way to generate a phase research draft using agent orchestration is to spawn a dedicated phase researcher agent. The agent investigates feasibility, literature, and methodology, producing a comprehensive markdown artifact consumed by the phase planner.

Physics phase research needs agent-driven orchestration to systematically identify viable research paths and ensure formal context gathering. Without orchestration, manual validation and methodology investigation lack the structured artifact generation required for formal planning.