What problem does it solve? When multiple unrelated test failures or bugs appear across different files and subsystems, investigating them sequentially wastes time. This Skill guides an AI agent to split independent problems into focused subagent tasks that run concurrently, each with isolated context and clear scope. ## Core Features & Use Cases - Independence Analysis: Decision flow for determining whether failures are independent enough to parallelize or share root causes requiring sequential investigation. - Focused Agent Prompts: Templates for writing self-contained subagent instructions with specific scope, constraints, and expected output summaries. - Safe Parallel Execution: Rules for file ownership allocation, Git worktree isolation, and restrictions on shared-state operations like commits, branch switches, and stashes. - Use Case: After a refactoring leaves 6 failing tests across 3 files (abort logic, batch completion, race conditions), dispatch three agents in one response, then review summaries, check for conflicts, and run the full suite to integrate fixes. ## Quick Start Ask the agent to dispatch one parallel subagent per failing test file, each with a focused prompt to diagnose and fix its own failures.