agent-handoff-protocols

Define direct, queued, and brokered handoff protocols for multi-agent workflows.

5|1|Updated Feb 4, 2026
One-click install
npx skills add https://github.com/latestaiagents/agent-skills --skill agent-handoff-protocols
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: agent-handoff-protocols
Source: https://github.com/latestaiagents/agent-skills/tree/main/plugins/agent-architect/skills/patterns/agent-handoff-protocols
Command: npx skills add https://github.com/latestaiagents/agent-skills --skill agent-handoff-protocols

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides structured patterns and best practices for designing reliable and efficient ways for AI agents to pass tasks, context, and control to one another, preventing data loss and ensuring smooth workflow execution.

Core Features & Use Cases

  • Handoff Patterns: Implement direct, queued, or brokered handoffs between agents.
  • Context Management: Strategies for transferring full context, summarized context, or reference-based context.
  • Error Handling: Robust mechanisms for managing rejections, timeouts, and rollbacks.
  • Use Case: Designing a multi-agent system where an initial agent gathers user requirements, a second agent plans the execution, and a third agent performs the task, ensuring all necessary information is passed accurately at each step.

Quick Start

Use the agent-handoff-protocols skill to design a direct handoff between a planning agent and an execution agent for a given task.

Frequently Asked Questions about agent-handoff-protocols

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

FAQPage Schema
How do I pass context between agents in a multi-agent workflow?

Context management in multi-agent workflows requires structured data transfer mechanisms. This skill implements protocols for transferring full, summarized, or reference-based context between agents to prevent data loss during sequential or collaborative task execution.

What are the best patterns for inter-agent task delegation?

Inter-agent task delegation is best handled through direct, queued, or brokered handoff patterns. This skill defines these strategies to establish structured communication, ensuring tasks are passed accurately between planning and execution agents.

How do you handle errors and timeouts when handing off tasks between AI agents?

Error handling for agent handoffs requires robust mechanisms for managing rejections, timeouts, and rollbacks. This skill provides structured protocols to gracefully manage these failures, preventing workflow disruption when an agent cannot accept a delegated task.

When do I need a brokered handoff protocol for multi-agent communication?

A brokered handoff protocol is needed when multi-agent communication requires an intermediary to route tasks and context between agents. This approach is ideal for complex collaborative workflows where direct agent-to-agent communication is not feasible.

Can I use this to design a sequential workflow from requirement gathering to task execution?

Yes, you can design sequential workflows where an initial agent gathers requirements, a second plans execution, and a third performs the task. The protocols ensure all necessary information is passed accurately at each step of the multi-agent system.