trw-exec-plan

Decomposing a PRD into executable micro-tasks involves generating an execution plan that maps functional requirements to specific file paths, test names, and verification commands. This ensures traceable task decomposition and clear ownership across the project.

An ASCII dependency graph visually maps task relationships, while wave planning organizes these tasks for parallel execution. Together, they enable teams to visualize dependencies and execute independent micro-tasks concurrently during PRD implementation.

Generating test skeletons from a PRD requires an execution plan that maps functional requirements to pre-generated test structures. This enables test-driven development workflows by establishing verification criteria and acceptance commands before actual implementation begins.

Automated task decomposition for AI agent execution requires deterministic task generation from groomed PRDs. By producing concrete file paths, verification commands, and dependency graphs, the generated execution plan enables reliable implementation by AI agents.

PRD-driven task decomposition effectively scales for projects with multiple functional requirements by applying explicit ownership mapping and traceable task generation. It ensures each FR is broken down into granular micro-tasks with distinct verification artifacts.

Frontmatter-driven PRD metadata is needed when you require deterministic execution plan generation. It provides the structured inputs necessary to automatically map functional requirements to file paths, test skeletons, and dependency graphs without manual intervention.