handoff

Create durable handoff notes transferring coding context to fresh sessions.

1|Updated Jan 22, 2026
One-click install
npx skills add https://github.com/Atlas-Memory-Framework/AtlasMemory-Tools --skill handoff-atlas-memory-framework
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: handoff
Source: https://github.com/Atlas-Memory-Framework/AtlasMemory-Tools/tree/main/.cursor/skills/handoff
Command: npx skills add https://github.com/Atlas-Memory-Framework/AtlasMemory-Tools --skill handoff-atlas-memory-framework

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Handoff skill helps prevent lost progress by turning complex, time-consuming AI coding work into a compact, verifiable state transfer that a fresh agent can safely continue.

Core Features & Use Cases

  • Create handoffs with durable continuity: saves the smallest useful state to a predictable path so future sessions can resume reliably.
  • Resume and verify against staleness: instructs the receiving agent to validate what changed since the handoff before making edits.
  • Update chained handoffs: supports extending an existing handoff or creating a successor when work diverges.
  • Use Case: after substantial planning or debugging, generate a handoff so another agent can pick up the exact stopping point, decisions, and next checks without rereading everything.

Quick Start

Ask the AI to create a focused handoff capturing the current goal, stopping point, decisions, changed files, verification status, and ordered next steps.

Frequently Asked Questions about handoff

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

FAQPage Schema
How do I transfer AI coding context to a new agent session?

Transfer AI coding context by creating durable handoff notes that document the stopping point, decisions, file pointers, verification results, open questions, and the first concrete next action for a fresh agent.

What is an AI agent handoff note and what state should it include?

An AI agent handoff note is a compact, verifiable state transfer record that includes minimal, falsifiable state like changed files, verification status, open questions, and ordered next steps to preserve project continuity.

How do I resume an AI coding project after switching tools or splitting a side task?

Resume an AI coding project by validating what changed since the handoff note was written before making any new edits, ensuring the receiving agent checks for staleness against the current codebase state.

Can I update an existing handoff note when work diverges into a new direction?

Update an existing handoff note by extending it or creating a successor handoff when work diverges, ensuring the new state transfer record captures the updated decisions and next concrete actions.

Does the handoff process redact secrets when transferring project state?

The handoff process redacts secrets while writing the minimal, falsifiable state required for project continuity, ensuring sensitive data is excluded from the context transferred to a fresh agent session.

What's the best way to prevent lost progress during complex agent collaboration?

Prevent lost progress during agent collaboration by generating compact handoff notes after substantial planning or debugging, allowing the next agent to pick up the exact stopping point without rereading everything.