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AI-Driven-Highspeed-Development
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orch-discussion

Coordinate structured multi-agent discussions using a Propose–Challenge–Synthesize protocol.

Updated Feb 1, 2026
Search Tags:#multi-agent#orchestration#consensus#discussion#synthesize#challenge#propose
One-click install
npx skills add https://github.com/AI-Driven-Highspeed-Development/adhd_framework_v3 --skill orch-discussion
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: orch-discussion
Source: https://github.com/AI-Driven-Highspeed-Development/adhd_framework_v3/tree/main/modules/dev/instruction_core/data/skills/orch-discussion
Command: npx skills add https://github.com/AI-Driven-Highspeed-Development/adhd_framework_v3 --skill orch-discussion

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Orchestrates structured, multi-agent discussions to reach consensus among specialists, reducing misalignment and delays in collaborative analysis.

Core Features & Use Cases

  • Structured 3-phase protocol (Propose, Challenge, Synthesize) to converge on decisions
  • N-way participation management with topic and participant identification (supports up to 4 participants)
  • Impasse handling and rationale documentation to preserve decisions and explain deviations

Quick Start

Trigger orch-discussion with a topic to start a structured multi-agent discussion session.

Frequently Asked Questions about orch-discussion

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

FAQPage Schema
How do I coordinate multi-agent discussions to reach consensus?▼

You coordinate multi-agent discussions by applying a deterministic 3-phase protocol: Propose, Challenge, and Synthesize. This structured workflow manages N-way participation to converge specialist perspectives into unified decisions.

What is the best way to structure a multi-agent debate for design reviews?▼

The best way to structure a multi-agent debate is using a defined Propose-Challenge-Synthesize workflow. It supports up to 4 participants and documents rationale to preserve decisions during cross-disciplinary analyses.

Can I use this multi-agent orchestration protocol for cross-disciplinary analyses?▼

Yes, you can use this protocol for cross-disciplinary analyses. It addresses collaborative problem solving among specialists by managing multiple perspectives and handling impasses to reach consensus.

How many participants are supported in structured multi-agent consensus discussions?▼

Structured consensus discussions support up to 4 participants. The protocol manages N-way participation with topic and participant identification to ensure structured convergence.

How does impasse handling work when agents fail to reach consensus?▼

Impasse handling in multi-agent discussions preserves decisions and explains deviations through rationale documentation. When agents fail to reach consensus, the system documents rationale to maintain workflow continuity.

Do I need external dependencies to run the multi-agent discussion orchestration?▼

No, you do not need external dependencies to run the orchestration. It operates independently through a frontmatter-driven workflow and includes optional resources in scripts, references, and assets.

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