handoff

Generate structured Markdown handoff documents summarizing progress, decisions, and pending tasks.

9|Updated Jul 3, 2026
One-click install
npx skills add https://github.com/TonyQ-AI/agents-workflow --skill handoff-tonyq-ai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: handoff
Source: https://github.com/TonyQ-AI/agents-workflow/tree/main/skills/handoff
Command: npx skills add https://github.com/TonyQ-AI/agents-workflow --skill handoff-tonyq-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill solves the issue of context loss when AI conversations become too long, need to be split across sessions, or require handovers to other developers or AI agents.

Core Features & Use Cases

  • Context Compression: Automatically summarizes progress, key decisions, and blockers into a structured Markdown document.
  • Seamless Continuity: Generates a standardized handoff file that allows a new AI session to pick up exactly where the previous one left off.
  • Use Case: When a complex coding task spans multiple days, use this Skill at the end of your session to create a snapshot of the current state, ensuring the next day's session starts with full awareness of the project's status and pending tasks.

Quick Start

Use the handoff skill to generate a context summary document for the current project so I can continue this work in a new session tomorrow.

Frequently Asked Questions about handoff

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

FAQPage Schema
How do I maintain AI context and project state when splitting a long coding task across multiple sessions?

To maintain AI context across sessions, generate structured context-transfer documentation that aggregates progress, findings, and pending action items into a standardized Markdown format for seamless continuity.

What is the best way to hand off an ongoing development workflow to another developer or AI agent?

The best way to hand off a development workflow is to create a standardized handoff file that compresses key decisions, blockers, and task tracking state, allowing the new collaborator to resume work immediately.

How does context compression work for long-running AI development conversations?

Context compression for long-running AI conversations works by automatically summarizing progress, key decisions, and blockers into a structured Markdown document, ensuring the new session starts with full project awareness.

Can I use this context transfer approach for multi-day complex coding tasks that require state persistence?

Yes, this context transfer approach applies to long-running development workflows requiring state persistence, allowing you to snapshot the current project status and pending tasks at the end of each session.

What do I need to generate a context summary document for continuing work in a new AI session?

To generate a context summary document, you only need to request a snapshot of your current project state during your session, and the skill will output the standardized handoff file automatically.

Are there limitations to using standardized handoff files for project continuity and decision logging?

The primary limitation of using handoff files for project continuity is that they capture a static snapshot; any new decisions or code changes made after generating the document will not be reflected until a new handoff is created.