parallel-plan

Parallel implementation planning condenses planning context and analyzes code patterns to produce a production-ready task breakdown. You need it when feature work requires consistent outputs and coordinated validation across multiple implementation stages.

To generate a parallel-plan.md, invoke the parallel-plan process for your feature. It coordinates analysis agents to condense planning docs and validation agents to verify dependencies, ultimately producing the final structured implementation plan.

Yes, worktree annotations are supported as an optional output in your implementation plan. The final parallel-plan.md includes optional worktree annotations alongside the structured task breakdown to help coordinate parallel development efforts.

Parallel planning validates plan structure and dependencies automatically by spawning dedicated validation agents. These agents verify plan integrity and dependencies after analysis agents condense the planning context into concise artifacts.

The best way to automate planning documentation is using a coordinated analysis and validation process that condenses context and verifies dependencies. This produces consistent structured task breakdowns while reducing manual planning workload across parallel feature implementations.

Automated parallel planning relies on the quality of input planning documentation and code patterns available for analysis. Since it condenses existing context, incomplete or ambiguous planning docs may impact the accuracy of the final implementation plan and validation.