bmad-party-mode

Spawn multiple BMAD agents for multi-agent discussions with independent perspectives.

1|Updated May 31, 2026

Search Tags:#project management #collaboration #multi-agent #group discussion #BMAD agents

Ready to run

npx skills add https://github.com/sfines/slf-llm-wiki-py --skill bmad-party-mode-sfines

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: bmad-party-mode
Source: https://github.com/sfines/slf-llm-wiki-py/tree/main/.agents/skills/bmad-party-mode
Command: npx skills add https://github.com/sfines/slf-llm-wiki-py --skill bmad-party-mode-sfines

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill facilitates natural, multi-agent conversations where each BMAD agent offers an independent perspective, enhancing group discussions and collaborative decision-making.

Core Features & Use Cases

Multi-Agent Conversations: Spawn multiple BMAD agents for diverse viewpoints and discussions.
Customizable Agents: Select specific agents based on expertise and roles.
Contextual Responses: Agents respond based on the ongoing conversation and project context.
Use Case: Ideal for brainstorming sessions, project reviews, or collaborative problem-solving where multiple expert opinions are needed.

Quick Start

Start a party mode discussion with BMAD agents on your project topic.

Frequently Asked Questions about bmad-party-mode

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

FAQPage Schema

How do I facilitate multi-agent group discussions for project reviews?▼

Multi-agent group discussions are facilitated by spawning BMAD agents that provide independent perspectives based on ongoing project context. This enables collaborative brainstorming and decision-making without requiring manual coordination of multiple viewpoints.

What is the best way to get diverse perspectives during collaborative brainstorming?▼

Diverse perspectives for collaborative brainstorming are generated by engaging multiple customizable BMAD agents in a single conversation. Each agent offers an independent viewpoint based on their selected expertise and roles to enhance the group discussion.

Do I need project context to start a multi-agent conversation with BMAD agents?▼

Yes, project context is required to start a multi-agent conversation and ensure meaningful interactions. Providing contextual project information allows the BMAD agents to generate relevant, independent responses tailored to your specific problem.

Can I select specific agents based on their roles for a project review?▼

Yes, you can select specific BMAD agents based on their expertise and roles for your project review. This customization ensures the multi-agent discussion features the exact independent perspectives needed for your collaborative decision-making.

How do multi-agent conversations work for collaborative problem-solving?▼

Multi-agent conversations work by spawning distinct BMAD agents that process ongoing dialogue and project context independently. Each agent then generates contextual responses, delivering diverse expert opinions for collaborative problem-solving.