Dispatching Parallel Agents

When you've got multiple independent failures after a refactor, this is about spinning up separate agents to investigate each one in parallel instead of grinding through them sequentially. The pattern works when problems are truly isolated, like three different test files failing for unrelated reasons. You give each agent a focused scope (one test file, one subsystem), clear constraints about what not to touch, and specific output expectations. The real win is time, solving three problems concurrently instead of one after another, but it only works when there's no shared state and fixes won't conflict. If failures are related or you need full system context, stick with a single investigation.

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last updated: Aug 21, 2026

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Install

$ npx -y skills add davila7/claude-code-templates --skill dispatching-parallel-agents --agent claude-code

Installs into .claude/skills of the current project.

Files

Dispatching Parallel Agents

Overview

When you have multiple unrelated failures (different test files, different subsystems, different bugs), investigating them sequentially wastes time. Each investigation is independent and can happen in parallel.

Core principle: Dispatch one agent per independent problem domain. Let them work concurrently.

When to Use

digraph when_to_use {
    "Multiple failures?" [shape=diamond];
    "Are they independent?" [shape=diamond];
    "Single agent investigates all" [shape=box];
    "One agent per problem domain" [shape=box];
    "Can they work in parallel?" [shape=diamond];
    "Sequential agents" [shape=box];
    "Parallel dispatch" [shape=box];

    "Multiple failures?" -> "Are they independent?" [label="yes"];
    "Are they independent?" -> "Single agent investigates all" [label="no - related"];
    "Are they independent?" -> "Can they work in parallel?" [label="yes"];
    "Can they work in parallel?" -> "Parallel dispatch" [label="yes"];
    "Can they work in parallel?" -> "Sequential agents" [label="no - shared state"];
}

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