# Handoff Protocols

> Designing smooth transitions between agents and between AI and humans.

- **Type:** Skill
- **Install:** `agentstack add skill-owl-listener-ai-design-skills-handoff-protocols`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [Owl-Listener](https://agentstack.voostack.com/s/owl-listener)
- **Installs:** 0
- **Category:** [Agent Skills](https://agentstack.voostack.com/c/agent-skills)
- **Latest version:** 0.1.0
- **License:** MIT
- **Upstream author:** [Owl-Listener](https://github.com/Owl-Listener)
- **Source:** https://github.com/Owl-Listener/ai-design-skills/tree/main/claude-plugin/design-agent-orchestration/skills/handoff-protocols

## Install

```sh
agentstack add skill-owl-listener-ai-design-skills-handoff-protocols
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## About

# Handoff Protocols
A handoff is the moment one agent passes work to another — or to a human. It's where multi-agent systems most commonly fail. A dropped handoff means lost context, repeated work, or abandoned tasks.
## Anatomy of a Handoff
Every handoff has:
- **Trigger**: What causes the handoff? (task completion, scope boundary, failure, user request)
- **Source**: Who is handing off?
- **Destination**: Who is receiving?
- **Payload**: What information transfers? (context, partial results, user state, instructions)
- **Acknowledgment**: How does the source know the destination received the handoff?
- **User experience**: What does the user see during the handoff?
## Handoff Types
- **Sequential**: Agent A finishes, passes results to Agent B who continues. Like a relay race.
- **Parallel fan-out**: One agent distributes subtasks to multiple agents simultaneously.
- **Parallel fan-in**: Multiple agents' results converge back to one agent for synthesis.
- **Escalation**: An agent can't handle the task and passes up to a more capable agent or human.
- **Fallback**: The primary agent fails and a backup takes over.
- **Human handoff**: AI passes work to a human for review, decision, or completion.
## Context Transfer
The most common handoff failure is context loss. Design what transfers:
- **Full context**: Everything the source agent knew. Safe but potentially overwhelming.
- **Summarised context**: Key information distilled. Efficient but risks losing important nuance.
- **Structured context**: Predefined fields that must be populated. Consistent but rigid.
- **Incremental context**: Only what's new since the last handoff. Efficient for ongoing collaborations.
## Designing for the User
The user's experience of handoffs matters:
- **Invisible handoff**: The user doesn't know agents changed. The experience feels seamless.
- **Transparent handoff**: The user is told a new agent is taking over and why.
- **Participatory handoff**: The user confirms the handoff or provides additional context.
- **User-initiated handoff**: The user explicitly requests a different agent or a human.
## Handoff Anti-Patterns
- **The black hole**: Work is handed off but never picked up
- **The echo chamber**: Agents hand work back and forth without progress
- **The context cliff**: Critical information is lost in the handoff
- **The jarring transition**: The user's experience changes dramatically at the handoff point
- **The silent redirect**: The user doesn't know they've been handed off and gets confused by changes
## Design Artefacts
- Handoff protocol specifications (trigger, source, destination, payload, acknowledgment)
- Context transfer templates
- Handoff sequence diagrams
- User experience specifications for each handoff type
- Handoff failure mode analysis

## Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [Owl-Listener](https://github.com/Owl-Listener)
- **Source:** [Owl-Listener/ai-design-skills](https://github.com/Owl-Listener/ai-design-skills)
- **License:** MIT

Install and usage instructions live in the source repository linked above.

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** no
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** no
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/skill-owl-listener-ai-design-skills-handoff-protocols
- Seller: https://agentstack.voostack.com/s/owl-listener
- Browse the marketplace: https://agentstack.voostack.com/browse

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Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.
