bmad-party-mode

Orchestrate multi-agent roundtable conversations with persona rosters and persistent memory logs.

Updated Jul 11, 2026
One-click install
npx skills add https://github.com/marcmontecalvo/kinward --skill bmad-party-mode-marcmontecalvo
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: bmad-party-mode
Source: https://github.com/marcmontecalvo/kinward/tree/main/.agents/skills/bmad-party-mode
Command: npx skills add https://github.com/marcmontecalvo/kinward --skill bmad-party-mode-marcmontecalvo

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires uv, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This skill solves the problem of siloed AI responses by orchestrating dynamic, multi-persona roundtable discussions that surface diverse perspectives, challenge assumptions, and generate creative solutions through agent-to-agent interaction.

Core Features & Use Cases

  • Dynamic Roundtable Orchestration: Facilitates interactive group chats between custom personas or installed agents, allowing for complex debate and collaborative brainstorming.
  • Configurable Interaction Modes: Supports multiple modes ranging from simple conversational sessions to independent subagent teams that think and reason separately before clashing.
  • Persistent Memory & Keepsakes: Maintains per-party memory logs to track relationships and history across sessions, and generates creative HTML keepsakes of the discussion.

Quick Start

Activate the party mode skill to start a roundtable discussion with the code review crew about the current project architecture.

Frequently Asked Questions about bmad-party-mode

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

FAQPage Schema
How do I orchestrate multi-agent roundtable discussions for collaborative brainstorming?

You can orchestrate collaborative brainstorming by configuring custom personas or installed agents into interactive group chats, enabling dynamic debate and agent-to-agent interaction to surface diverse perspectives.

What is a multi-agent debate session and how does stateful session memory work?

A multi-agent debate session uses configurable interaction modes for independent reasoning, while stateful session memory maintains per-party logs to track relationships and history across multiple conversations.

Can I run an adversarial code review using a focus-group panel of independent agents?

Yes, adversarial code reviews can be run using focus-group panels where independent subagent teams think and reason separately before clashing, challenging assumptions to generate creative solutions.

Does this multi-agent orchestration require uv to manage persona rosters?

Yes, uv is required as a dependency to manage the environment for orchestrating persona rosters and configurable interaction modes during multi-agent roundtable conversations.

What are the limitations of using persona-based communication for multi-agent orchestration?

Persona-based communication requires structured group dynamics and customizable configurations, meaning complex independent subagent teams may need careful interaction mode management to prevent chaotic or unfocused debate sessions.