What problem does it solve? Coordinating multiple independent coding or analysis tasks sequentially wastes time, while naive parallelization causes file conflicts, duplicated work, and unverified results. This Skill defines when parallel dispatch is safe and how to brief, dispatch, and integrate concurrent worker agents. ## Core Features & Use Cases - Independence Check: Verifies tasks have non-overlapping file ownership, no shared mutable state, and no sequential dependencies before parallelizing. - Worker Briefs and Dispatch: Structures goal, acceptance criteria, evidence, and constraints for each worker, then dispatches through the host's callable parallel-dispatch mechanism. - Reconciliation and Integration: Inspects each worker's actual diff, evaluates evidence, checks cross-result interfaces, and verifies the combined result against the overall goal. - Use Case: When fixing three unrelated bugs in separate modules, dispatch three workers concurrently with scoped briefs, then integrate their changes after verifying each result's evidence. ## Quick Start Split these independent tasks into parallel worker agents with clear goals and evidence requirements, then integrate their verified results.