What problem does it solve? Investigating multiple unrelated failures sequentially wastes time when each problem domain is independent. This Skill provides a structured pattern for splitting failures into isolated scopes and dispatching one focused agent per domain so investigations run concurrently. ## Core Features & Use Cases - Independence Decision Framework: A decision flowchart and criteria to determine whether failures are independent enough for parallel dispatch or require sequential investigation. - Focused Agent Prompt Structure: Guidance for writing self-contained agent tasks with specific scope, constraints, and expected output summaries. - Review and Integration Workflow: Steps to verify agent results, detect conflicts, and run the full test suite after parallel fixes. - Use Case: After a refactoring leaves 6 failing tests across 3 files (abort logic, batch completion, race conditions), dispatch three agents in parallel, each fixing one file, then integrate all fixes with zero conflicts. ## Quick Start Ask the AI to dispatch one parallel agent per failing test file, giving each agent the failing test names, error messages, and a constraint to only touch its assigned scope.