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handoff

Generate structured handoff documents summarizing conversation aspects for AI agent sessions.

30|1|Updated Feb 18, 2026
Search Tags:#handoff#workflow continuity#context preservation#agent context#conversation summary#development handoff#cross-agent transfer
One-click install
npx skills add https://github.com/Codagent-AI/agent-skills --skill handoff-codagent-ai
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: handoff
Source: https://github.com/Codagent-AI/agent-skills/tree/main/skills/handoff
Command: npx skills add https://github.com/Codagent-AI/agent-skills --skill handoff-codagent-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

When switching between AI agent sessions, all prior conversation context is lost, leading to repeated work, misaligned decisions, and wasted time re-explaining background to new agents. This skill eliminates that friction by generating focused, aspect-specific summaries that let resuming agents pick up work exactly where the previous session left off.

Core Features & Use Cases

  • Targeted aspect summaries: Captures only the specific conversation aspect the user specifies (e.g., debugging progress, design decisions) instead of full, noisy chat logs.
  • Auto-resolved output paths: Automatically saves handoff documents to the correct location based on user input, project conventions, or change slugs, no manual path configuration needed.
  • Structured, actionable output: Follows a consistent template with objective, current state, key decisions, open questions, next steps, and relevant files so resuming agents have all the context they need to continue work immediately.
  • Use Case: If you are working with an agent to fix a production bug and need to hand off to a security-focused agent for further investigation, use this skill to capture the bug symptoms, root cause analysis so far, and pending test steps so the new agent does not have to redo prior diagnostic work.

Quick Start

Use the handoff skill to summarize the current API debugging progress for the next agent to continue.

Frequently Asked Questions about handoff

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

FAQPage Schema
How do I preserve context when transferring work between AI agents?▼

To preserve context when transferring work between agents, you can generate a structured handoff document that captures the objective, current state, key decisions, open questions, and next steps. This allows the resuming agent to continue immediately without prior conversation history.

What is the best way to summarize a debugging session for a new agent?▼

The best way to summarize a debugging session is to extract only the specific aspect needed, such as bug symptoms and root cause analysis, into a targeted summary. This prevents the new agent from wading through noisy chat logs and redoing diagnostic work.

Can I capture only design decisions instead of the full conversation log?▼

Yes, you can capture only design decisions by requesting a targeted aspect summary. This focuses the output strictly on the specified conversation aspect, filtering out unrelated discussions and producing a clean record of decisions for the next session.

How do I save handoff documents without manually configuring file paths?▼

Handoff documents save automatically without manual path configuration by resolving output paths based on user input, project conventions, or change slugs. This ensures the context summary is written to the correct location within the project structure.

Does cross-agent transfer work for implementation progress tracking?▼

Cross-agent transfer works for implementation progress tracking by generating a summary of completed steps and pending tasks. This structured handoff document ensures the receiving agent understands the development progress and knows exactly what to build next.

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