mh-party-mode

Orchestrate multi-agent discussions between installed MicroHard agents using micro-file architecture.

2|Updated Apr 5, 2026
One-click install
npx skills add https://github.com/Imad-Oute/MicroHard --skill mh-party-mode
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: mh-party-mode
Source: https://github.com/Imad-Oute/MicroHard/tree/main/src/core/mh-party-mode
Command: npx skills add https://github.com/Imad-Oute/MicroHard --skill mh-party-mode

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill unit solves the problem of orchestrating group discussions between all installed MicroHard agents, enabling natural multi-agent conversations without the need for manual intervention.

Core Features & Use Cases

  • Multi-Agent Discussion: Facilitates group discussions between different MicroHard agents.
  • Agent Selection Intelligence: Automatically selects relevant agents based on user input and conversation context.
  • Role-Playing Guidelines: Maintains character consistency and authentic agent interactions.
  • Question Handling Protocol: Manages different types of questions between agents and users.
  • Exit Conditions: Handles user-initiated exits and natural conclusion of conversations.

Quick Start

Activate party mode by running the 'mh-party-mode' command.

Frequently Asked Questions about mh-party-mode

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

FAQPage Schema
How do I orchestrate multi-agent conversations between MicroHard agents?

Multi-agent conversations are orchestrated using micro-file architecture and sequential conversation orchestration, which facilitates natural group discussions and collaborative problem-solving without manual intervention.

What is sequential conversation orchestration for collaborative decision-making?

Sequential conversation orchestration is a mechanism that coordinates group discussions between multiple agents, managing agent selection, role-playing guidelines, and question handling protocols for team-based decisions.

Can I automatically select relevant MicroHard agents based on conversation context?

Yes, agent selection intelligence automatically chooses relevant agents based on user input and ongoing conversation context, ensuring authentic agent interactions and maintaining character consistency.

Do I need a configured agent roster to enable multi-agent discussions?

Yes, orchestrating multi-agent discussions requires a configured agent roster and a defined communication language to properly facilitate expert consultations and team-based interactions.

How do I handle user-initiated exits during multi-agent conversations?

User-initiated exits and natural conversation conclusions are managed through predefined exit conditions, ensuring smooth termination of collaborative problem-solving sessions.

When should I use conversation orchestration for expert consultations?

Use conversation orchestration when you need collaborative problem-solving, expert consultations, or team-based decision-making, allowing multiple MicroHard agents to interact naturally and resolve complex queries.