dispatching-parallel-agents

Coordinate parallel agent fan-out and collect terminal results without dropping failures.

139|7|Updated May 8, 2026
One-click install
npx skills add https://github.com/arbiterForge/codeArbiter --skill dispatching-parallel-agents-arbiterforge
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: dispatching-parallel-agents
Source: https://github.com/arbiterForge/codeArbiter/tree/main/plugins/ca/skills/dispatching-parallel-agents
Command: npx skills add https://github.com/arbiterForge/codeArbiter --skill dispatching-parallel-agents-arbiterforge

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill prevents parallel agent work from becoming chaotic by enforcing a disciplined fan-out, collect, dedupe, and funnel process before any results are consumed.

Core Features & Use Cases

  • Bounded Parallel Dispatch: Splits work into independent units and sends one agent per unit with controlled concurrency.
  • Collision Prevention: Blocks overlapping file mutations unless the work is isolated or serialized first.
  • Result Integrity: Collects every terminal state, preserves failures, deduplicates overlapping findings, and routes everything through triage and aggregation.
  • Use Cases: Batch code review, subagent-driven development, sprint-style task execution, and any workflow that needs safe parallelism across disjoint paths.

Quick Start

Ask the skill to split the work into independent units, dispatch the correct agent for each unit, and return only the triaged batch verdict.

Frequently Asked Questions about dispatching-parallel-agents

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

FAQPage Schema
How do I run parallel code review agents without dropping failures or causing file collisions?

Parallel code review requires dispatching bounded agents per independent work unit while enforcing path-collision checks. This approach collects every terminal state, preserves failures, and deduplicates overlapping findings before routing results through a triage-to-aggregation funnel.

What is the best way to split sprint execution tasks across disjoint files for subagent-driven development?

Subagent-driven development works best by splitting work into independent units and dispatching one agent per unit with controlled concurrency. This method blocks overlapping file mutations unless work is isolated or serialized first, ensuring safe parallelism across disjoint paths.

How does task orchestration handle aggregation and triage for batch agent results?

Task orchestration handles batch results by collecting all terminal states, preserving failures, and deduplicating overlapping findings. It routes every outcome through a triage-to-aggregation funnel, delivering a single consolidated batch verdict to the caller.

Can I use fan-out concurrency for batch review across overlapping file scopes?

Fan-out concurrency for batch review blocks overlapping file mutations unless the work is isolated or serialized first. It enforces bounded parallel dispatch and path-collision checks to prevent chaotic concurrent edits across overlapping scopes.

Why does parallel agent work become chaotic and how do I prevent dropped results during task orchestration?

Parallel agent work becomes chaotic without disciplined collection and deduplication. Prevent dropped results by enforcing bounded concurrency, checking for path collisions, collecting every terminal state, and routing all findings through a triage-to-aggregation funnel.