implementation-decomposition

Task decomposition breaks complex implementation designs into manageable, execution-ready subtasks. It manages dependencies, optimizes for parallel execution, and validates requirement coverage for development teams.

Parallel execution optimization is achieved by decomposing implementation designs into independent subtasks and managing their dependencies. This ensures efficient execution and validates that all requirements are covered without blocking.

Coverage validation checks that every requirement from the implementation design is addressed by the generated subtasks. It ensures no requirements are missed during task decomposition and dependency management.

Implementation decomposition requires input artifacts such as 'stage-4-handoff.md', 'implementation-design.md', and 'change-map.md'. These files provide the complete implementation design needed to generate actionable subtasks.

Task decomposition is needed when you have a complete implementation design that must be broken down into actionable tasks for a development team. It applies to software development and project management workflows requiring parallel execution.

Dependency management declares and tracks relationships between subtasks during implementation decomposition. It enables parallel execution optimization by identifying which subtasks can run independently and which require sequential ordering.