party-mode

Coordinate parallel task decomposition and multi-agent execution across specialists.

Updated Mar 18, 2026
One-click install
npx skills add https://github.com/Charitablebusinessronin/Allura_Memory --skill party-mode-charitablebusinessronin
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: party-mode
Source: https://github.com/Charitablebusinessronin/Allura_Memory/tree/main/.opencode/skills/party-mode
Command: npx skills add https://github.com/Charitablebusinessronin/Allura_Memory --skill party-mode-charitablebusinessronin

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Coordinated parallel execution of complex tasks by dispatching multiple specialists in parallel, reducing total turnaround time and improving coverage of skill areas.

Core Features & Use Cases

  • Parallel dispatch of independent subtasks to a roster of predefined specialists.
  • Deterministic orchestration by a central coordinator (Brooks) with clear responsibility handoffs.
  • Guardrails for safe collaboration, ensuring no solo work in critical phases and providing auditing through the protocol.
  • Use Case: A product redesign requires design, engineering, and QA subtasks to run concurrently to meet a tight deadline.

Quick Start

Invoke party-mode with a task description to dispatch independent specialists in parallel.

Frequently Asked Questions about party-mode

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

FAQPage Schema
How do I execute multi-agent parallel dispatch for independent subtasks?

Multi-agent orchestration coordinates parallel task decomposition by dispatching independent subtasks to predefined specialists. A central coordinator manages deterministic orchestration, ensuring fast results and broad skill coverage for complex work.

What is deterministic orchestration for multi-agent task coordination?

Deterministic orchestration uses a central coordinator to manage protocol-driven task dispatch and responsibility handoffs. This approach provides governance gates that prevent solo work during critical execution phases, ensuring safe multi-agent collaboration.

When do I need parallel task decomposition for complex workflows?

Parallel task decomposition is needed when complex projects contain independent subtasks across multiple domains like implementation and validation. Decomposing tasks enables concurrent specialist dispatch, accelerating completion compared to sequential processing.

How do I prevent solo work in critical phases of multi-agent execution?

Preventing solo work in critical phases requires governance gates and protocol-driven task dispatch within multi-agent execution. These guardrails enforce safe collaboration by mandating coordinated responsibility handoffs across all workflow phases.

Can I use parallel dispatch for both implementation and validation subtasks?

Parallel dispatch supports implementation, validation, and research subtasks concurrently. The central coordinator orchestrates these independent domains simultaneously, providing comprehensive skill coverage and accelerated turnaround for complex project requirements.

What are the limitations of protocol-driven task dispatch for team coordination?

Protocol-driven task dispatch is limited to tasks decomposable into independent subtasks. It requires a central coordinator for deterministic orchestration and is less effective for workflows with highly interdependent or sequential phase dependencies.