bmad-party-mode

Orchestrate multi-agent group discussions among BMAD agents using the agent-manifest CSV.

2|Updated Apr 2, 2026
One-click install
npx skills add https://github.com/cassioalexandre/agf --skill bmad-party-mode-cassioalexandre
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: bmad-party-mode
Source: https://github.com/cassioalexandre/agf/tree/main/_bmad/core/bmad-party-mode
Command: npx skills add https://github.com/cassioalexandre/agf --skill bmad-party-mode-cassioalexandre

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It coordinates natural multi-agent group discussions so users can get broader, cross-perspective answers without manually managing which agents respond.

Core Features & Use Cases

  • Multi-agent discussion orchestration: Selects a small, relevant set of BMAD agents per user prompt to create balanced dialogue.
  • Conversation flow management: Introduces agents, manages per-round responses, and enforces exit/continuation controls.
  • Manifest-driven persona consistency: Loads the agent roster from the BMAD agent manifest to keep each agent in character and aligned with configured communication style.
  • Use Case: When a user asks a complex question (e.g., planning governance for an AI-agent project), party mode organizes a few complementary agents to debate and converge toward actionable insights.

Quick Start

Ask your BMAD setup to run bmad-party-mode when you want a multi-agent discussion and respond to the on-screen agent prompts until you choose to exit.

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 cross-perspective ideation?

To orchestrate multi-agent conversations, this skill selects a small set of relevant agents from your roster to debate a topic, managing turn-taking and exit triggers to synthesize actionable insights automatically.

How does multi-agent discussion flow management maintain character consistency?

Character consistency is maintained by loading the agent-manifest CSV and project config, which ensures each agent stays in character and uses the configured communication_language throughout the conversation rounds.

Can I use bmad-party-mode for interactive workflow governance planning?

Yes, bmad-party-mode supports interactive workflow governance planning by organizing complementary agents to debate complex project governance questions and converge toward actionable insights without manual agent management.

What's the best way to run a multi-agent group discussion without manually selecting agents?

The best way to run automated multi-agent group discussions is to use manifest-driven orchestration, which automatically selects a balanced set of agents per prompt and manages the conversation flow until you choose to exit.

Do I need an agent-manifest CSV to run orchestrated agent conversations?

Yes, you need an agent-manifest CSV and project config loaded beforehand, because the skill uses these files to build a merged agent roster and enforce persona consistency during the conversation.