rcode-majlis-council

Coordinate multi-agent consultation with structured position capture and dissent reporting.

2|1|Updated Apr 10, 2026
One-click install
npx skills add https://github.com/hanzlahabib/rcode --skill rcode-majlis-council
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: rcode-majlis-council
Source: https://github.com/hanzlahabib/rcode/tree/main/rcode/skills/agents/majlis-council
Command: npx skills add https://github.com/hanzlahabib/rcode --skill rcode-majlis-council

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps you gather the right specialist perspectives when a question crosses multiple domains, so you can make better decisions without flattening dissent or guessing who should weigh in.

Core Features & Use Cases

  • Multi-agent consultation: Brings together relevant voices from strategy, engineering, product, and operations for a shared discussion.
  • Structured decision synthesis: Captures each position, highlights agreement and disagreement, and turns the discussion into a clear recommendation.
  • Crisis and cross-functional reviews: Useful for incident response, roadmap tradeoffs, architecture decisions, and any situation where one expert is not enough.

Quick Start

Ask the majlis to convene the relevant specialists for your cross-functional question and return a synthesized answer with dissent clearly noted.

Frequently Asked Questions about rcode-majlis-council

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

FAQPage Schema
What is multi-agent consultation for cross-functional decision-making?

Multi-agent consultation coordinates specialist perspectives from strategy, product, engineering, and operations to resolve hard calls. It captures structured positions, highlights agreement and dissent, and synthesizes the discussion into a clear, auditable recommendation.

How do I orchestrate a council session for crisis response?

To orchestrate a council session for crisis response, convene the relevant specialists and define their authority boundaries. The system captures each structured position, reports alignment and dissent, and saves a session record for auditability.

Can I capture explicit dissent during cross-functional architecture reviews?

Yes, you can capture explicit dissent during architecture reviews. The consultation requires structured position capture and generates an alignment and dissent report, ensuring minority perspectives are recorded rather than flattened into a single recommendation.

What is the best way to synthesize multi-agent positions into a recommendation?

The best way to synthesize multi-agent positions is through structured decision synthesis. This mechanism captures each specialist's stance, maps areas of agreement and disagreement, and distills the cross-functional review into a single clear recommendation.

Does multi-agent orchestration work without defining specialist authority boundaries?

No, multi-agent orchestration requires predefined specialist authority boundaries. Setting these boundaries is necessary to structure the consultation, capture valid positions accurately, and maintain a reliable audit trail for the cross-functional decision.

When do I need a saved session record for multi-agent decisions?

You need a saved session record for multi-agent decisions whenever auditability is required, such as during incident response or roadmap tradeoffs. The record captures the structured consultation, specialist positions, and dissent reporting for later review.