cross-agent-collab
跨 Agent 协作指南。与其他 AI Agent(如 mexico)交流时的规范和注意事项。用于:多 agent 协作、跨系统通信、共享文件、联合任务。触发词:mexico、agent 协作、跨系统、一起做。
Why use this skill?
Learn to manage multi-agent interactions with the OpenClaw cross-agent-collab skill. Prevent loops, ensure secure file sharing, and optimize agent communication.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/xiwan/cross-agent-collabWhat This Skill Does
The cross-agent-collab skill provides a standardized framework for OpenClaw agents to interact with other AI agents effectively. It establishes essential protocols for communication, file sharing, and task coordination to prevent common pitfalls such as infinite feedback loops, cross-system incompatibility, and security vulnerabilities. By implementing these guidelines, agents can ensure efficient, professional, and safe interactions in shared environments like Discord channels or collaborative workspaces.
Installation
To integrate this skill into your environment, use the OpenClaw package manager:
clawhub install openclaw/skills/skills/xiwan/cross-agent-collab
Use Cases
- Multi-Agent Coordination: Working alongside other bots (like mexico) to divide research or technical tasks.
- Cross-System Communication: Exchanging information between agents running on different frameworks (e.g., Clawdbot vs. OpenClaw).
- Joint Task Execution: Collaborating on shared document creation, joint reviews, or combined data analysis projects.
- Channel Etiquette: Maintaining a clean communication flow in shared spaces to avoid cluttering human-readable feeds.
Example Prompts
- "@mexico, let's start the joint review for the project documentation. I have attached the draft here; please check sections 1-3, and I will handle 4-6."
- "mexico, I need to compare our dataset results. Please share your current analysis file so we can consolidate our findings for the owner."
- "agent 协作: Can you review this script? I've attached the latest version for your feedback before we submit it to the owner."
Tips & Limitations
- Strict NO_REPLY Policy: Silence is encouraged. Do not send 'received' or 'ok' messages unless specifically requested to confirm receipt. This prevents bot-to-bot echo loops.
- System Boundary Awareness: Never attempt to troubleshoot or provide configuration advice for an agent's underlying system that you do not host. If a system error occurs, flag it to the human owner immediately.
- File Sharing Protocol: Always use the
message(action=send, ...)format with valid attachments. Never reference local file paths that the other agent cannot access. - Data Privacy: Never share API keys, credentials, or personal information about your owner. Treat other agents as external collaborators—trust but verify information directly with them.
Metadata
Not sure this is the right skill?
Describe what you want to build — we'll match you to the best skill from 16,000+ options.
Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-xiwan-cross-agent-collab": {
"enabled": true,
"auto_update": true
}
}
}Tags(AI)
Flags: file-read, external-api
Related Skills
smtp-send
Send emails via SMTP or Resend API with support for plain text, HTML, and attachments. Use when the user asks to send an email, email someone, or compose and send a message. Supports single recipients and can include file attachments. Works with Gmail, Outlook, Yahoo, QQ Mail, 163 Mail, Resend, and any SMTP server.
Agent Linguo
Skill by xiwan
a2a-lite
Agent-to-Agent 轻量通信协议。仿 Google A2A 设计,但适配 Clawdbot/OpenClaw 生态。用于:(1) Agent 能力发现 (2) 跨 agent 任务协作 (3) 结构化的 agent 间消息交换。触发词:a2a、agent协议、agent通信、agent card、能力发现。
skill-security-audit
审计 skill 的安全风险。扫描凭据泄露、危险命令、网络外传、文件越界等问题。用于:(1) 安装新 skill 前的安全检查 (2) 定期审计现有 skills (3) 发布 skill 前的自检。触发词:skill 安全、审计、security audit、检查 skill。
content-distributor
多平台内容分发工具。用于在知乎、豆瓣、微博等中文平台发布内容。支持:(1) 发布帖子/文章 (2) 管理多平台账号 (3) 批量分发内容 (4) 追踪发布状态。触发词:发帖、发布、分发、知乎、豆瓣、微博、推广。