What problem does it solve? When multiple unrelated test failures or bugs appear across different files and subsystems, investigating them sequentially wastes time and bloats a single agent's context. This Skill provides a structured pattern for splitting independent problems into focused agent tasks that 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 prompts with specific scope, constraints, and expected output so agents stay on task. - Integration and Verification Workflow: Steps to review agent summaries, detect conflicting edits, and run the full test suite after parallel fixes. - Use Case: After a major refactoring leaves 6 test failures across 3 files (abort logic, batch completion, race conditions), dispatch one agent per file, let them fix issues concurrently, then integrate the conflict-free results. ## Quick Start Ask the AI to dispatch one parallel agent per failing test file, giving each agent the specific test names, error messages, and constraints for its domain.
