metier-orchestration

Coordinate multi-step business missions across specialist agents with verification.

9|Updated May 24, 2026
One-click install
npx skills add https://github.com/picmakpro/vibeflow-os --skill metier-orchestration
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: metier-orchestration
Source: https://github.com/picmakpro/vibeflow-os/tree/main/plugin/reference/content/methodology/templates/skills/metier-orchestration
Command: npx skills add https://github.com/picmakpro/vibeflow-os --skill metier-orchestration

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill prevents complex multi-step business missions from becoming fragmented, improvised, or self-validated by coordinating specialist agents through a structured workflow.

Core Features & Use Cases

  • Context Recovery: Reconstruct the current state from planning indexes and registries before taking action.
  • Mission Orchestration: Map objectives, clarify blockers, create atomic task plans, and delegate work to appropriate specialist agents.
  • Adversarial Verification: Require fresh agents to verify results factually and challenge them through red-team review before closure.
  • Planning Capitalization: Record decisions, learnings, blockers, and updated mission state for future work.
  • Use Case: Coordinate a multi-agent marketing campaign by assigning research, copywriting, and analytics tasks, reconciling their outputs, and requiring independent verification before updating the planning state.

Quick Start

Ask the metier-orchestration skill to coordinate the mission, delegate each specialist task, verify the outcome adversarially, and update the planning state.

Frequently Asked Questions about metier-orchestration

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

FAQPage Schema
How do I coordinate multi-agent missions to prevent fragmented workflows?

Multi-agent orchestration coordinates specialist agents by recovering context, delegating atomic tasks, and reconciling outputs through structured workflows. This prevents complex missions from becoming fragmented or self-validated.

What is adversarial verification in multi-agent workflows?

Adversarial verification uses fresh agents to factually verify results and challenge them through red-team review before closure. This ensures specialist agent outputs meet quality standards before updating the planning state.

How do I delegate specialist tasks across multiple agents with dependencies?

Task delegation maps objectives, clarifies blockers, and creates atomic task plans assigned to appropriate specialist agents. The workflow reconciles dependent outputs and requires independent verification before finalizing deliverables.

Can I use multi-agent orchestration for marketing campaign coordination?

Multi-agent orchestration coordinates marketing campaigns by assigning research, copywriting, and analytics tasks to specialist agents. It reconciles their outputs and requires independent verification before updating the planning state.

When should I use bounded correction loops in multi-agent planning?

Bounded correction loops apply when specialist agent outputs fail factual or adversarial verification. They provide structured correction cycles with escalation protocols before closure, ensuring mission quality without infinite retries.

Does multi-agent orchestration require explicit planning state records?

Multi-agent orchestration requires updated planning records before closure, capitalizing decisions, learnings, and blockers. Context recovery reconstructs the current state from planning indexes and registries before taking further action.