multi-agent-orchestrator

Coordinate multi-agent workflows with deterministic task sequencing and dependency resolution.

39|12|Updated Feb 8, 2026

Search Tags:#workflow #validation #dependencies #multi-agent #orchestration #coordination #handoff

Ready to run

npx skills add https://github.com/egorfedorov/Slot-Casino-Game-Developer-Skills-for-Stake-Engine --skill multi-agent-orchestrator-egorfedorov

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: multi-agent-orchestrator
Source: https://github.com/egorfedorov/Slot-Casino-Game-Developer-Skills-for-Stake-Engine/tree/main/multi-agent-orchestrator
Command: npx skills add https://github.com/egorfedorov/Slot-Casino-Game-Developer-Skills-for-Stake-Engine --skill multi-agent-orchestrator-egorfedorov

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Coordinate multi-agent orchestration to ensure deterministic task sequencing, explicit ownership, and dependable completion gates across entities and teams.

Core Features & Use Cases

Defines participating agents, roles, task graphs, and shared contracts to bound execution.
Manages handoffs, retry/escalation policies, and dependency resolution with transparent ownership.
Validates end-to-end readiness and generates reusable runbooks for handoff and deployment.

Quick Start

Define your first orchestration plan and ask the AI to translate it into executable steps.

Frequently Asked Questions about multi-agent-orchestrator

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

FAQPage Schema

How do I coordinate multi-agent workflows with deterministic task sequencing?▼

Multi-agent orchestration works by defining participating agents, explicit task graphs, and shared contracts to bound execution. It manages handoffs and dependency resolution with transparent ownership and formal terminal states.

How do I manage handoffs and dependencies between independent agents?▼

You manage handoffs by applying retry and escalation policies alongside dependency resolution. This guarantees transparent ownership and validates end-to-end pipeline readiness before generating reusable runbooks for deployment.

When do I need explicit dependency graphs for multi-agent orchestration?▼

You need explicit dependency graphs when bounding execution across independent agents. Defining these task graphs and shared contracts ensures dependable completion gates and formal output contracts for reproducible run contexts.

Can I validate end-to-end pipeline readiness before generating a runbook?▼

Yes, you can validate end-to-end pipeline readiness before deployment. The orchestration checks task completion gates and clears acceptance criteria to generate reusable runbooks for handoff and deployment.

What are the limitations of using shared contracts for multi-agent coordination?▼

A limitation of shared contracts is the requirement for strict adherence to formal output contracts and terminal states. If independent agents deviate from the defined task graph, deterministic task sequencing and dependency resolution may fail.