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 domain to a focused agent that works in parallel with isolated context. ## Core Features & Use Cases - Independence Assessment: A decision flowchart and criteria to determine whether failures are truly independent and safe to parallelize, or related and better handled sequentially. - Agent Prompt Structure: A template for writing focused, self-contained agent prompts with specific scope, constraints, and expected output format. - Integration Workflow: Steps for reviewing agent summaries, checking for conflicting edits, and verifying fixes with a full test suite run. - Use Case: After a major refactoring leaves 6 test failures across 3 files (abort logic, batch completion, race conditions), dispatch one agent per file so all three investigations complete concurrently with zero conflicts. ## Quick Start Ask the AI to dispatch one parallel agent per failing test file, giving each agent the specific test names, error messages, and a constraint to not modify unrelated code.
