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handoff-protocol

Transfer structured task scope and findings between AI agents with validated schemas.

1|Updated Mar 7, 2026
Search Tags:#agent communication#orchestration#multi-agent systems#handoff#context preservation#state transfer
One-click install
npx skills add https://github.com/jimmymalhan/codereview-pilot --skill handoff-protocol-jimmymalhan
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: handoff-protocol
Source: https://github.com/jimmymalhan/codereview-pilot/tree/main/.claude/skills/handoff-protocol
Command: npx skills add https://github.com/jimmymalhan/codereview-pilot --skill handoff-protocol-jimmymalhan

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill addresses the challenge of maintaining context and continuity when one AI agent passes control or information to another, preventing data loss and ensuring smooth resumption of tasks.

Core Features & Use Cases

  • Structured State Transfer: Defines a clear schema for passing essential information between agents.
  • Context Preservation: Ensures that the receiving agent has all necessary information to continue from the exact point of handoff.
  • Reduced Memory Usage: Promotes passing only critical scope and findings, allowing the recipient to fetch detailed data on demand.
  • Use Case: When a planning agent completes its phase, it hands off the defined scope and its findings to an execution agent, which can then immediately begin its work without needing to re-process the entire history.

Quick Start

Use the handoff-protocol skill to transfer the current task scope and findings to the next agent.

Frequently Asked Questions about handoff-protocol

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

FAQPage Schema
How do I transfer context and state between AI agents without losing data?▼

To transfer state between AI agents without data loss, use a structured handoff schema that validates for completeness and immutability before appending to an audit trail. This ensures the receiving agent has the exact context needed to resume the task.

What is structured state transfer in multi-agent systems?▼

Structured state transfer in multi-agent systems is the process of passing essential scope and findings between agents. It ensures continuity and prevents context loss by validating a defined schema before appending the handoff to an audit trail.

How to hand off task scope from a planning agent to an execution agent?▼

Hand off task scope by transferring defined scope and findings using a structured protocol. The execution agent receives the critical context and immediately begins work without re-processing the entire history or fetching detailed data upfront.

Does multi-agent handoff schema validation prevent context loss during orchestration?▼

Yes, handoff schema validation prevents context loss during orchestration by checking for completeness and immutability before appending to an audit trail. This guarantees the receiving agent resumes the task with all necessary information intact.

What is the best way to reduce memory usage when passing context between agents?▼

The best way to reduce memory usage during agent handoffs is to pass only critical scope and findings, allowing the recipient to fetch detailed data on demand. This structured state transfer prevents re-processing the entire history.

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