dispatching-parallel-agents
SolidUse when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies
AI & Automation 233 stars
44 forks Updated today MIT
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<!--
Adapted from obra/superpowers dispatching-parallel-agents skill (v5.0.7),
MIT-licensed, copyright 2025 Jesse Vincent. Modifications copyright 2026 Joe Amditis.
v0.5.0 ports as a consumer category — no research phase per the v0.2.0
architecture, since dispatching parallel agents is a fan-out utility called by
other skills whose research conclusions already determined that parallelism
applies.
See CREDITS.md.
-->
# Dispatching Parallel Agents
## Overview
You delegate tasks to specialized agents with isolated context. By precisely crafting their instructions and context, you ensure they stay focused and succeed at their task. They should never inherit your session's context or history — you construct exactly what they need. This also preserves your own context for coordination work.
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
```dot
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 t...
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- Author
- jamditis
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- jamditis/claude-skills-journalism
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- 5 months ago
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- today
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- MIT
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