dispatching-parallel-agents

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 agent that works in parallel with isolated context. ## Core Features & Use Cases - Independent Domain Identification: Group failures by root cause and decide with a decision flow whether parallel dispatch, sequential agents, or a single investigation fits. - Focused Agent Prompts: Construct self-contained agent tasks with specific scope, constraints, and expected output so agents stay on target. - Review and Integration Workflow: Verify agent summaries, check for conflicting edits, and run the full test suite after parallel fixes return. - Use Case: After a refactoring leaves 6 failures across 3 test files (abort logic, batch completion, race conditions), dispatch one agent per file, then integrate all three independent fixes with zero conflicts. ## Quick Start Ask the AI to dispatch one parallel agent per failing test file, giving each agent the error messages, a focused scope, and instructions to return a summary of root cause and fixes.