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 without interference. ## 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, pasted error context, and explicit expected output. - Integration and Verification Workflow: Steps to review agent summaries, detect conflicting edits, and run the full test suite after parallel fixes return. - 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 analyze the current test failures, group them into independent problem domains, and dispatch one focused agent per domain to fix them in parallel.
