agent-cross-handoff-skill
New一个面向 AI 编程 Agent 的跨工具、跨系统项目交接 Skill。把一个正在开发中的 Git 项目整理成“另一个操作系统或另一个 Agent 能够安全继续接手”的状态。
Summary
This skill prepares a Git project for seamless handoff between different AI coding agents or across different operating systems.
- It documents the current state, pending tasks, environment setup, and any system-specific dependencies so another agent can safely continue development without missing context.
Install & Usage
mkdir -p .claude/agentsAdd the configuration to .claude/agents/agent-cross-handoff-skill.md
@agent-cross-handoff-skillUse Cases
Usage Examples
/agent-cross-handoff-skill prepare --summary "Implementing user authentication, halfway done"
Run /agent-cross-handoff-skill to generate a handoff document for this project
/agent-cross-handoff-skill --include-env --include-todos
Security Audits
Frequently Asked Questions
What is agent-cross-handoff-skill?
This skill prepares a Git project for seamless handoff between different AI coding agents or across different operating systems. It documents the current state, pending tasks, environment setup, and any system-specific dependencies so another agent can safely continue development without missing context.
How to install agent-cross-handoff-skill?
To install agent-cross-handoff-skill: create the agents directory (mkdir -p .claude/agents), then add the config to .claude/agents/agent-cross-handoff-skill.md. Finally, @agent-cross-handoff-skill in Claude Code.
What is agent-cross-handoff-skill best for?
agent-cross-handoff-skill is a agent categorized under General. It is designed for: agent. Created by Rivercoco.
What can I use agent-cross-handoff-skill for?
agent-cross-handoff-skill is useful for: Handing off a project from Claude Code on macOS to another AI agent on Linux or Windows.; Pausing work on a feature and creating a detailed handoff document for a colleague or another AI to resume later.; Preparing a project for cross-platform development by documenting OS-specific paths, tools, and environment variables.; Ensuring a new AI agent can pick up a project mid-stream with full context of incomplete tasks and known issues.; Creating a snapshot of project state including branch, uncommitted changes, and pending tests before switching contexts.; Standardizing handoff documentation across multiple AI agents working on the same codebase..