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The Parallel Agent Dispatcher skill optimizes development workflows by identifying independent problem domains—such as unrelated test failures, decoupled subsystem bugs, or distinct refactoring tasks—and assigning them to separate, focused AI agents. By executing these investigations in parallel rather than sequentially, it dramatically reduces the time required to stabilize large codebases and resolve complex issues. This pattern ensures that each agent operates with a narrow, high-context scope, leading to more accurate fixes and faster integration of multi-part solutions.
