party-mode

Orchestrate multi-agent conversations by spawning subagents from a predefined roster.

3|Updated Jun 23, 2026
One-click install
npx skills add https://github.com/WritzProtocol/writz --skill party-mode-writzprotocol
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: party-mode
Source: https://github.com/WritzProtocol/writz/tree/main/.agents/skills/party-mode
Command: npx skills add https://github.com/WritzProtocol/writz --skill party-mode-writzprotocol

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires Agent tool, and includes scripts (resource) components.

What problem does it solve?

This Skill orchestrates group discussions between multiple agents, providing diverse perspectives and facilitating rich, collaborative conversations.

Core Features & Use Cases

  • Multi-Agent Conversations: Enables natural discussions among agents, each with its own independent thinking.
  • Customizable Agent Roster: Select and combine agents based on their expertise for tailored discussions.
  • Flexible Context Management: Maintain context throughout conversations to ensure relevant and focused discussions.

Quick Start

Activate party mode and specify the agents to include in the discussion. For example: 'party-mode --model haiku --solo'

Frequently Asked Questions about party-mode

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

FAQPage Schema
How do I facilitate multi-agent conversations for group discussions?

Multi-agent conversations are facilitated by spawning subagents from a predefined roster, each providing unique perspectives for collaborative problem-solving and cross-functional discussions.

What is agent orchestration for collaborative problem-solving?

Agent orchestration coordinates multiple subagents to simulate group decision-making, maintaining flexible context management to ensure discussions remain relevant and focused throughout the interaction.

Do I need an Agent tool to run multi-agent discussions?

Yes, the Agent tool is required as a dependency for spawning subagents and handling the context management necessary to orchestrate multi-agent conversations.

Can I customize the agent roster for cross-functional discussions?

You can customize the agent roster by selecting and combining agents based on their specific expertise, allowing you to tailor the group discussion for diverse perspectives.

How do I start an AI discussion with multiple agents?

Activate party mode and specify the agents to include in the discussion, using commands like 'party-mode --model haiku --solo' to configure the multi-agent conversation parameters.