create-handoff

Create YAML-based session handoffs for workflow continuity across agents.

5|Updated Feb 7, 2026
One-click install
npx skills add https://github.com/mraakashshah/oro --skill create-handoff-mraakashshah
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: create-handoff
Source: https://github.com/mraakashshah/oro/tree/main/.claude/skills/create-handoff
Command: npx skills add https://github.com/mraakashshah/oro --skill create-handoff-mraakashshah

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Ensures smooth transitions and knowledge retention during handoffs between sessions, agents, or work contexts, maintaining task continuity and reducing the risk of context loss.

Core Features & Use Cases

  • Compact YAML Handoff: Summarizes context in YAML, maximizing efficiency and reducing file size compared to markdown.
  • Task Tracking: Tracks completed, in-progress, and remaining tasks, including epic associations.
  • Learning Capture: Integrates learning capture for session insights to improve future workflows.

Quick Start

Write a handoff for your session and save it using the YAML format: oro handoff write --path docs/handoffs/2026-01-08_16-30_auth-refactor.yaml.

Frequently Asked Questions about create-handoff

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

FAQPage Schema
How do I transfer context between AI agent sessions to maintain workflow continuity?

You can maintain workflow continuity by writing a structured YAML-based session handoff that summarizes context, tracks tasks, and captures learning insights for the next agent.

Why use YAML for task handoff context transfer instead of markdown?

YAML is used for task handoff context transfer because it provides a compact format that maximizes efficiency and reduces file size compared to markdown, ensuring smoother transitions.

What's the best way to track in-progress and remaining tasks during an AI session handoff?

The best way to track tasks during a session handoff is to use a structured format that records completed, in-progress, and remaining tasks, including epic associations, within a YAML file.

Can I use this handoff format for parallelized task execution in software engineering?

Yes, the YAML-based context handoff format is ideal for parallelized task execution in software engineering workflows, enabling multiple agents to transfer state and maintain continuity.

How do I write and save a session handoff file for AI workflows?

To write a session handoff, summarize your context in YAML format and save it using a command like 'oro handoff write --path docs/handoffs/handoff.yaml' to store the transfer state.

Does this context transfer tool require any external dependencies to run?

No, this context transfer tool has zero external dependencies, allowing you to generate YAML-based session handoffs directly within your existing software engineering environment.