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 subagent 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. - Focused Agent Prompts: A proven prompt structure covering scope, goal, constraints, and expected output so agents stay on task and return actionable summaries. - Parallel Dispatch Pattern: Guidance on issuing multiple subagent dispatches in a single response so they execute concurrently rather than sequentially. - 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 review summaries, check for conflicts, and run the full suite to integrate the fixes. ## Quick Start Ask the AI to dispatch one parallel subagent per failing test file, giving each a focused prompt with the failing test names, constraints, and a required summary of root cause and fixes.
