Agent Relay Auto — Development skill for Claude Code
A protocol-driven orchestration framework for reliable multi-agent collaboration, context handoff, and automated delivery across Codex, OpenCode, Claude Code, and more.|面向 Codex、OpenCode、Claude Code 等.
How to install Agent Relay Auto
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open MJHuang666/agent-relay-auto and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What Agent Relay Auto does
A protocol-driven orchestration framework for reliable multi-agent collaboration, context handoff, and automated delivery across Codex, OpenCode, Claude Code, and more.|面向 Codex、OpenCode、Claude Code 等 Agent 的文件化协议驱动型协作框架,支持可靠的上下文接力与自动化交付。
Alternatives in Development
- Claude Scholar — Semi-automated research assistant for academic research and software development 3k ★
- Oh My Agent — Portable multi-agent harness for .agents-based skills, workflows, and standards-aware agent teams across Antig 786 ★
- Project Memory: AgentSys — Cross-tool compatible: Works across all 5 platforms - Claude Code, OpenCode, Codex CLI, Cursor, and Kiro 622 ★
README
Agent Relay Auto
A protocol-driven orchestration framework for reliable multi-Agent collaboration, durable context handoff, and automated delivery across Codex, OpenCode, Claude Code, and more.
[简体中文](README.zh-CN.md) · [Project introduction](docs/PROJECT_INTRO.en-US.md) · [Full usage guide](docs/AGENT_RELAY_AUTO_USAGE.en-US.md) · [Latest release](https://github.com/MJHuang666/agent-relay-auto/releases/latest)
[](https://github.com/MJHuang666/agent-relay-auto/releases/latest) [](LICENSE) [](https://github.com/MJHuang666/agent-relay-auto/actions)

The idea in one sentence
Agent Relay Auto is a lightweight multi-Agent collaboration framework for durable, file-based work across one project repository.
Agent Relay Auto does not ask different Agents to share one chat context. It gives them one durable project state. Requirements, plans, decisions, implementation evidence, review conclusions, handoffs, and final reports live in repository files, so the project can survive a model change, a new Agent, a closed chat window, or a migrated machine.
In automatic mode, the user talks only to the foreground Planner. Runner claims and launches the Implementer and Reviewer in the background; after a valid review, it resumes the exact registered Planner conversation, which summarizes delivery and completes DONE:
User ↔ foreground Planner
│
▼
requirements + plan
│
▼
background Runner ──► Implementer ──► Reviewer
▲ │
└──── automatic repair / re-plan ──┘
│
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