dispatching-parallel-agents

Dispatch parallel agents to handle independent failures concurrently.

125|16|Updated Feb 6, 2026
One-click install
npx skills add https://github.com/aaddrick/claude-pipeline --skill dispatching-parallel-agents-aaddrick
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: dispatching-parallel-agents
Source: https://github.com/aaddrick/claude-pipeline/tree/main/.claude/skills/dispatching-parallel-agents
Command: npx skills add https://github.com/aaddrick/claude-pipeline --skill dispatching-parallel-agents-aaddrick

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill enables teams to split work into independent problems and run agents in parallel to accelerate problem resolution.

Core Features & Use Cases

  • One agent per independent domain to isolate concerns
  • Supports parallel execution to reduce turnaround time
  • Provides structured prompts, outputs, and aggregation for multi-domain tasks

Quick Start

  1. Create a new skill folder under .claude/skills with a SKILL.md containing the frontmatter and the task description.
  2. If you have supporting assets, place them in scripts/, references/, or assets/ as needed and reference them in SKILL.md.
  3. Invoke the dispatching protocol to assign one agent per independent domain and run them in parallel.

Frequently Asked Questions about dispatching-parallel-agents

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

FAQPage Schema
How do I handle multiple unrelated bugs concurrently using parallel agents?

Dispatch parallel agents by assigning one agent per independent domain to isolate concerns and resolve unrelated bugs concurrently. This pattern requires three or more unrelated issues with no shared state, enforcing clear task scopes and concise result aggregation for integration.

When should I use parallel agent orchestration for software engineering tasks?

Use parallel agent orchestration when you have three or more independent problems or failures that can be chased in parallel without shared state. It enforces a one-agent-per-domain approach to isolate concerns and accelerate problem resolution by reducing turnaround time.

What is the best way to split work into independent domains for parallel execution?

The best way to split work is to enforce a one-agent-per-domain approach, ensuring each independent problem has a clear task scope. This allows agents to run in parallel without shared state, providing structured prompts and outputs for concise result aggregation.

How do I set up a dispatching protocol to run agents in parallel?

To set up the dispatching protocol, create a new skill folder under .claude/skills with a SKILL.md file containing frontmatter and the task description. Place supporting assets in scripts, references, or assets directories, then invoke the protocol to assign one agent per independent domain.

Can I use parallel agent workflows for issues that share state?

No, parallel agent workflows apply specifically when issues or bugs are unrelated and can be chased in parallel without shared state. If your tasks require shared state, this one-agent-per-domain dispatching pattern is not suitable for isolating those concerns.

How are results aggregated after running multiple agents in parallel?

Results are aggregated through a concise result aggregation process for integration. The dispatching pattern provides structured prompts and outputs for multi-domain tasks, ensuring that the independently resolved issues are combined effectively after parallel execution.