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 your working context. This Skill provides a structured pattern for delegating each independent problem to a focused agent that works in parallel with isolated context. ## Core Features & Use Cases - Independence Assessment: A decision flowchart and criteria help you determine whether failures are truly independent and safe to parallelize, or related and better handled by a single agent. - Agent Prompt Structure: Guidance for writing focused, self-contained agent prompts with specific scope, constraints, and expected output so agents stay on task. - Review and Integration Workflow: Steps for verifying agent summaries, checking for conflicting edits, and running the full test suite after parallel fixes. - Use Case: After a major refactoring leaves 6 failures across 3 test files (abort logic, batch completion, race conditions), dispatch one agent per 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 error messages, a focused scope, and a required summary of root cause and fixes.
