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.