flux-parallel-dispatch

Coordinate parallel subagent tasks with explicit scope and integration checks.

7|1|Updated Feb 21, 2026

Search Tags:#debugging #integration #multi-agent #parallel-dispatch #workflow-management #scouts

Ready to run

npx skills add https://github.com/Nairon-AI/flux --skill flux-parallel-dispatch

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: flux-parallel-dispatch
Source: https://github.com/Nairon-AI/flux/tree/main/skills/flux-parallel-dispatch
Command: npx skills add https://github.com/Nairon-AI/flux --skill flux-parallel-dispatch

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Dispatch parallel subagents only when work cleanly separates. Speed comes from independence, not from spawning aggressively.

Core Features & Use Cases

Use when multiple failing areas have different root causes
Use when flux:prime or flux:scope --explore needs several independent scouts
Review work can be split by subsystem or concern
Large tasks with disjoint write sets and one agent can integrate later

Quick Start

Define clear ownership and scope for each dispatched task, then run them in parallel and synthesize the results in the main thread.

Frequently Asked Questions about flux-parallel-dispatch

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I run independent subagents in parallel for multi-domain debugging?▼

To run independent subagents in parallel, define explicit scope, constraints, and owned files for each task. Dispatch them simultaneously when root causes differ, then synthesize results and run integration checks in the main thread.

When should I use parallel dispatch for multi-agent workflow management?▼

Use parallel dispatch when tasks are completely independent with no shared state, such as split review tasks by subsystem or deploying independent scouts. Speed comes from independence, not from spawning agents aggressively.

What is the best way to split independent review tasks across multiple agents?▼

The best way to split review tasks is by subsystem or concern, ensuring disjoint write sets. Define clear ownership and expected outputs for each unit, run them in parallel, and let one agent integrate the results later.

Can I coordinate parallel subagents when tasks have shared state?▼

No, you should not coordinate parallel subagents when tasks have shared state. This approach requires cleanly separated work with disjoint write sets to guarantee safe parallel execution and successful post-execution integration.

How do I integrate results after parallel subagent execution?▼

To integrate results after parallel execution, synthesize the outputs in the main thread. The workflow guarantees integration checks are performed after all independent subagents finish their scoped tasks.

Do I need to define scope and constraints before dispatching independent scouts?▼

Yes, you must specify explicit scope, constraints, owned files, and expected outputs before dispatching independent scouts. Clear ownership boundaries ensure each unit runs with its own context without conflicts.