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 subagent that works in parallel with isolated context. ## Core Features & Use Cases - Independence Assessment: Decision flowchart and criteria to determine whether failures are independent enough for parallel dispatch or share root causes requiring sequential investigation. - Focused Agent Prompts: A proven prompt structure covering scope, goal, constraints, and expected output so agents stay on task without inheriting your session context. - Parallel Dispatch Pattern: Issue multiple subagent dispatches in a single response so they execute concurrently, then review, verify, and integrate their results. - Use Case: After a major refactoring leaves 6 test failures across 3 files (abort logic, batch completion, race conditions), dispatch one agent per file, collect their summaries, and run the full suite to confirm all fixes integrate cleanly. ## Quick Start Ask the AI to dispatch one parallel subagent per failing test file, each with a focused prompt containing the failure details, constraints, and a required summary of root cause and fixes.
