handoff

Name: handoff
Availability: InStock
Author: marcusglee11

Structure inter-agent communication with YAML frontmatter summaries and verification steps.

Updated Dec 8, 2025

Search Tags:#workflow #context management #collaboration #agent communication #handoff #code transfer

Ready to run

npx skills add https://github.com/marcusglee11/LifeOS --skill handoff-marcusglee11

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: handoff
Source: https://github.com/marcusglee11/LifeOS/tree/main/.claude/skills/handoff
Command: npx skills add https://github.com/marcusglee11/LifeOS --skill handoff-marcusglee11

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill streamlines the process of transferring work and context between different AI agents, preventing information loss and reducing redundant communication.

Core Features & Use Cases

Structured Handoffs: Defines a clear format for passing work status, code changes, and next steps between agents.
Context Preservation: Minimizes token waste by referencing commits and specific file changes rather than large code blocks.
Verification: Enables the receiving agent to verify the claims made in the handoff summary.
Use Case: After completing a coding task, an agent uses this Skill to generate a summary for the next agent, detailing the branch, commits, test results, and what work remains.

Quick Start

Use the handoff skill to generate an outbound summary for the next agent.

Frequently Asked Questions about handoff

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

FAQPage Schema

How do I transfer context between AI agents without losing information?▼

Agent-to-agent communication uses a structured YAML frontmatter format to transfer context efficiently. This format captures work status, code changes, and next steps, ensuring the receiving agent can verify claims without processing large code blocks.

What is the best way to structure an AI agent workflow for sequential tasks?▼

Sequential agent workflows require a defined YAML frontmatter structure for outbound summaries and specific verification steps for inbound handoffs. This structure ensures efficient context transfer and smooth task continuation across project phases.

How do I generate a handoff summary for the next coding agent?▼

Generate an outbound summary by detailing the branch, commits, test results, and remaining work in a structured format. This summary acts as an outbound message, enabling the receiving agent to verify the project status and continue the task.

Can I use YAML frontmatter for code transfer between agents?▼

Yes, YAML frontmatter is required for outbound summaries during code transfer between agents. This defined structure ensures proper context preservation and minimizes token waste by referencing specific file changes rather than large code blocks.

Why does my receiving agent lose context during a project phase transition?▼

Context loss during a project phase transition occurs when handoffs lack a structured format and verification steps. Applying a defined YAML frontmatter structure for outbound summaries ensures context is preserved and claims are verifiable by the receiving agent.