Agent skill · Design & Presentation

agent-handoff-protocols

Design and implement agent-to-agent handoff protocols for multi-agent systems. Covers context passing, escalation patterns, handshake mechanisms, conversation continuity, and routing between specialized agents in production workflows.

Cosmic Stack3,294★ · 2 repos on radarProfile →
claude-codeMIT
Install
npx skills add cosmicstack-labs/mercury-agent-skills --skill agent-handoff-protocols --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 16 KB
Bundled scripts: none
Version: 1.0.0
Declared author: cosmicstack-labs
Path: categories/ai-ml/agent-handoff-protocols/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 364
Language: JavaScript
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Agent-to-Agent Handoff Protocols ## Overview In a multi-agent system, agents need to hand off tasks — and context — to each other seamlessly. A broken handoff means lost context, frustrated users, and failed workflows. This skill covers structured protocols for passing control between agents, handling escalations, and maintaining continuity across agent boundaries. --- ## Core Concepts ### When

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About this skill
What does the agent-handoff-protocols skill do?

Design and implement agent-to-agent handoff protocols for multi-agent systems. Covers context passing, escalation patterns, handshake mechanisms, conversation continuity, and routing between specialized agents in production workflows.

How do I install it?

Run `npx skills add cosmicstack-labs/mercury-agent-skills --skill agent-handoff-protocols --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From cosmicstack-labs/mercury-agent-skills, a repository with 364 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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