orchestrator-core

Orchestrate multi-agent workflows with controlled handoffs and acceptance gates.

Updated Mar 9, 2026
One-click install
npx skills add https://github.com/yin52133/roleflow-agents --skill orchestrator-core
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: orchestrator-core
Source: https://github.com/yin52133/roleflow-agents/tree/main/skills/orchestrator-core
Command: npx skills add https://github.com/yin52133/roleflow-agents --skill orchestrator-core

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill addresses the challenges of managing complex multi-agent workflows by providing a structured approach to task delegation, progress tracking, and decision-making, preventing common issues like role confusion and context overload.

Core Features & Use Cases

  • Structured Workflow Management: Orchestrates tasks, assigns them to appropriate specialists (Analyst, Builder, Operator), and manages the workflow state.
  • Controlled Handoffs: Ensures specialists provide concise, decision-ready summaries rather than full transcripts.
  • Explicit Acceptance Gates: Implements clear stages for accepting work, revising it, or approving it for daily execution.
  • Low-Memory Orchestration: Keeps the orchestrator lean by storing only essential state information, not extensive expert details.
  • Use Case: A user requests a market analysis report. The orchestrator delegates data gathering to an Analyst, then analysis to another Analyst, and finally, the report generation to a Builder, ensuring each step is validated before proceeding.

Quick Start

Use the orchestrator-core skill to break down the request 'Develop a marketing plan for a new product launch' and assign tasks to the appropriate specialists.

Frequently Asked Questions about orchestrator-core

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

FAQPage Schema
How do I manage multi-agent workflows without causing context overload?

Manage multi-agent workflows using low-memory routing, which stores only essential state information rather than extensive expert details to prevent context overload. The orchestrator coordinates task breakdown and specialist selection while keeping the central hub lean.

What is the best way to coordinate task delegation across multiple specialized agents?

The best way to coordinate task delegation is through structured workflow management that assigns tasks to appropriate specialists and manages the workflow state. This ensures clear role boundaries and controlled information flow between agents.

How do controlled handoffs work in multi-agent orchestration?

Controlled handoffs in multi-agent orchestration work by ensuring specialists provide concise, decision-ready summaries instead of full transcripts. This approach maintains explicit acceptance gates for accepting, revising, or approving work for execution.

Can I use this orchestration approach for complex requests like developing a marketing plan?

Yes, you can use this orchestration approach for complex requests like developing a marketing plan. The orchestrator breaks down the request and assigns specific tasks to appropriate specialists such as Analysts and Builders, validating each step before proceeding.

When do I need explicit acceptance gates in a multi-agent workflow?

You need explicit acceptance gates in a multi-agent workflow when you require clear stages for accepting work, revising it, or approving it for daily execution. This prevents role confusion and ensures decision-ready outputs are validated.

Why does my multi-agent workflow suffer from role confusion and unstructured deliverables?

Multi-agent workflows suffer from role confusion and unstructured deliverables when they lack a single decision hub and controlled information flow. Implementing structured task breakdown and specialist coordination resolves these common workflow issues.