handover

Generate a markdown handoff summary with context, decisions, and pending tasks.

1|Updated Dec 8, 2025
One-click install
npx skills add https://github.com/specvital/infra --skill handover
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: handover
Source: https://github.com/specvital/infra/tree/main/.claude/skills/handover
Command: npx skills add https://github.com/specvital/infra --skill handover

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill automates the creation of a comprehensive handoff document that ensures continuity when transferring work between AI agents. It analyzes the current conversation, extracts essential context, decisions, and pending tasks, and saves a structured markdown file for seamless handoff.

Core Features & Use Cases

  • Analyze conversations to generate a structured handoff with sections such as Overview, User Context, Completed Work, Current State, Pending Tasks, and Notes.
  • Persist the handoff as a standardized file named handoff-summary-YYYYMMDD-HHMMSS.md in the project workspace.
  • Enable multi-session handoffs and end-of-session transfers, allowing a new agent to resume work without re-collection of context.

Quick Start

Invoke the handover skill to generate a comprehensive handoff summary for the current session. The tool writes the output to ./handoff-summary-YYYYMMDD-HHMMSS.md and returns the path for review.

Frequently Asked Questions about handover

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

FAQPage Schema
How do I generate an AI handoff summary for a current conversation?

To generate an AI handoff summary, invoke the tool to analyze the conversation and automatically write a structured markdown file capturing context, decisions, and pending tasks to your project workspace.

What is the best way to transfer conversation context to another AI agent?

The best way to transfer conversation context is by generating a standardized markdown handoff document with frontmatter-driven metadata, which allows a new AI agent to resume work without re-collection of context.

How does a markdown handoff summary capture pending tasks and current state?

A markdown handoff summary captures pending tasks and current state by analyzing the conversation and extracting essential context into structured sections like Overview, Completed Work, Current State, and Pending Tasks.

Can I use this handoff summary for multi-session task tracking?

Yes, you can use the handoff summary for multi-session task tracking. It enables end-of-session transfers by saving a file named handoff-summary-YYYYMMDD-HHMMSS.md for the next agent to resume work.

What is included in an end-of-session AI handoff document?

An end-of-session AI handoff document includes an Overview, User Context, Completed Work, Current State, Pending Tasks, and Notes, ensuring continuity when transferring work between AI agents.

Do I need to manually format the markdown file when creating an AI conversation handoff?

No, you do not need to manually format the markdown file. The tool automatically applies frontmatter-driven metadata and a standardized filename to create a clearly structured document that guides continuation.