What problem does it solve? Investigating multiple unrelated failures sequentially wastes time when each failure belongs to an independent problem domain. This Skill provides a structured pattern for delegating independent tasks to parallel subagents with isolated context, so each investigation runs concurrently without interference. ## Core Features & Use Cases - Independence Assessment: A decision flowchart and explicit criteria help determine whether failures are independent enough for parallel dispatch or require sequential investigation. - Focused Agent Prompts: A proven prompt structure ensures each agent receives a specific scope, clear goal, constraints, and expected output format. - 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 test failures across 3 files (abort logic, batch completion, race conditions), dispatch one agent per test 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 scope, the relevant error messages, and a constraint to return a summary of root cause and fixes.
