bmad-party-mode

Orchestrate multi-agent BMAD conversations with frontmatter-based state tracking and agent roster merging.

Updated Mar 26, 2026
One-click install
npx skills add https://github.com/jaydubya818/New_baseline --skill bmad-party-mode-jaydubya818
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: bmad-party-mode
Source: https://github.com/jaydubya818/New_baseline/tree/main/skills/bmad/core/bmad-party-mode
Command: npx skills add https://github.com/jaydubya818/New_baseline --skill bmad-party-mode-jaydubya818

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Orchestrates group discussions between all installed BMAD agents, enabling natural multi-agent conversations. Use when user requests party mode.

Core Features & Use Cases

  • Orchestrates multi-agent conversations across the full BMAD roster.
  • Maintains each agent's personality, facilitates cross-talk, and ensures productive collaboration.
  • Supports structured party-mode sessions, load/initialize, and graceful exit sequences.

Quick Start

Begin Party Mode by loading the full BMAD agent roster and initiating a guided multi-agent discussion.

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 conversations for collaborative AI discussions?

You can orchestrate multi-agent discussions by loading the BMAD agent roster, which coordinates installed agents to enable structured, collaborative dialogue across diverse domains with dynamic agent selection and cross-talk.

What is multi-agent party mode and when should I use it?

Multi-agent party mode is a workflow that orchestrates group discussions between installed BMAD agents. Use it when you need structured, diverse expert input facilitated through natural cross-talk and collaborative dialogue across domains.

How do I start a multi-agent collaboration session using installed AI agents?

Begin a collaboration session by loading the full BMAD agent roster to initialize the agents. The workflow then initiates a guided multi-agent discussion, maintaining each agent's personality while facilitating productive cross-talk.

Do I need specific dependencies to run multi-agent orchestration workflows?

No specific dependencies are required to run multi-agent orchestration. The workflow operates stand-alone by merging the agent roster, tracking frontmatter-based state, and handling graceful exit sequences natively.

How does cross-talk work when coordinating multiple AI agents in a discussion?

Cross-talk works by maintaining each agent's distinct personality during the orchestrated conversation. The coordination logic dynamically selects agents to contribute, ensuring natural, productive collaboration rather than simple sequential responses.

Can I gracefully exit a multi-agent orchestration session without losing context?

Yes, the orchestration workflow implements graceful exit handling to close party-mode sessions cleanly. State tracking via frontmatter ensures the conversation context is preserved when you end the multi-agent discussion.