gpd-plan-phase

Automating research project planning with hypothesis constraints is done by generating execution plans that integrate literature review and computational strategies. This Skill creates structured plans with built-in verification loops to ensure research boundaries are respected and plan correctness is validated.

A verification loop in research execution planning is a validation step ensuring generated plans are correct and complete. This Skill uses the verification loop to automatically check mathematical approaches and computational strategies against the project roadmap and state files.

To generate an execution plan for a specific research project phase, run the gpd-plan-phase skill with the target phase number. It accesses project roadmap and state files to produce executable plans covering research, planning, and verification steps for that phase.

Yes, you need Python and JSON files to use this research planning tool, as it relies on these dependencies to function. It specifically requires access to project roadmap and state files formatted appropriately to handle research mode, autonomy, and hypothesis constraints.

The best way to structure complex software development or engineering design plans is using an automated execution plan generator with integrated research and verification. This Skill supports meticulous planning by combining literature review, mathematical approaches, and validation plans into a comprehensive executable format.

Your research execution plan may fail the verification step if the generated mathematical approaches or computational strategies lack correctness or completeness. This Skill uses the verification loop to ensure plan accuracy against the project roadmap, requiring hypothesis constraints to be properly met.