What problem does it solve? When multiple unrelated failures or tasks exist (different test files, subsystems, or bugs), investigating them sequentially wastes time and pollutes your working context. This Skill provides a structured pattern for delegating independent problem domains to parallel subagents with precisely crafted, self-contained instructions. ## Core Features & Use Cases - Parallel Dispatch Pattern: Issue multiple agent dispatches in a single response so they run concurrently in the background, then retrieve results with get_subagent_result. - Focused Prompt Structure: Each agent receives a specific scope, clear goal, explicit constraints, and an expected output format so it stays on task without inheriting session context. - Decision Guidance: A flowchart and explicit use/don't-use criteria help decide when failures are independent enough for parallel dispatch versus sequential investigation. - Use Case: After a refactoring leaves 6 test failures across 3 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 fixes. ## Quick Start Ask the AI to dispatch one parallel subagent per failing test file, each with a focused prompt describing the failures, constraints, and expected summary output.
