plan-crafting

To create an executable project plan, you define a clearly scoped work scope and break it down into atomic tasks with explicit dependencies and self-review criteria, generating a structured document to guide multi-step implementations.

Task decomposition for parallel execution involves breaking a scoped project into atomic tasks using a worker-validator design, ensuring every task has explicit dependencies and mandatory self-review criteria so multiple steps can execute without ambiguity.

To ensure a development plan has no placeholders, you enforce atomic task generation and mandatory self-review criteria during plan creation, guaranteeing every step is fully defined and dependencies are explicitly mapped before coding starts.

You need a worker-validator design in project planning when you have a clearly scoped, complex feature that requires parallelizable, multi-step implementation, allowing you to execute tasks concurrently while enforcing strict dependency-aware validation.

You cannot generate executable planning documentation for unclarified tasks; this workflow requires clarification to be completed first so it can turn a clearly defined work scope into an actionable, dependency-aware plan with no ambiguity.

Automated plan generation requires a fully scoped task as input and cannot handle ambiguous requirements, relying entirely on prior clarification to decompose tasks atomically and define explicit dependencies for the multi-step implementation.