Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · Communication & Collaboration
Cloud-Local Bridge
实现云端 OpenClaw 与本地 OpenClaw 之间的双向通信桥接。支持自然语言配对、命令执行、文件同步。
skill openclawclawhub Free
实现云端 OpenClaw 与本地 OpenClaw 之间的双向通信桥接。支持自然语言配对、命令执行、文件同步。
⬇ 0 downloads ★ 0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, references/EXAMPLES.md, scripts/api_handler.py, scripts/bridge_client.py, scripts/bridge_pair.py, scripts/bridge_server.py
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.1
Provenance
- Publisher
- 84191879
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Cloud-Local Bridge
让云端和本地 OpenClaw 实例无缝协同，支持自然语言配对、文件互通、命令远程执行。
核心特性
✅ 自然语言配对 - 不用记指令，像聊天一样说"我想连接云端" ✅ 跨通道配对 - QQ/微信/Telegram/邮件都能完成配对 ✅ 2步完成 - 像添加微信好友一样简单
直接发送自然语言
你发送机器人回应配对收到配对码我想连接云端收到配对码添加设备收到配对码配对 847291配对成功查看配对显示已连接设备帮助配对显示帮助
支持的自然语言
发起配对： 配对、我要配对、想配对 连接、连接云端、连接本地 添加设备、添加云端、添加好友 关联设备、互相关联 pair、connect 确认配对： 配对 123456 查看状态： 查看配对、配对状态 我的设备、设备列表 取消： 取消配对、删除设备
📱 配对流程
用户 A（本地） 用户 B（云端） ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1. 发送「我想连接云端」 (等待) ↓ 2. 收到配对码: 847291 ↓ 3. 发送配给 B (接收配对码) ↓ 4. B 发送「配对 847291」 ↓ 5. ✅ 配对成功! ✅ 配对成功!
🚀 快速启动
cd /root/.openclaw/workspace/skills/cloud-local-bridge/scripts # 启动 Bridge 服务 python3 bridge_server.py --port 8080 --token "xxx"
🔧 组件说明
文件说明qq_handler.py自然语言配对处理器bridge_server.pyBridge 服务端bridge_client.pyBridge 客户端sync_files.py文件同步
场景1：QQ 配对
你：我想连接云端 机器人：📱 发起配对成功！配对码：847291 （你把配对码发给云端用户） 云端用户：配对 847291 机器人：🎉 配对成功！已连接本地电脑
场景2：跨平台配对
本地（QQ）：配对 → 收到 582391 → 通过 QQ 发送给云端 云端（Telegram）：发送配对请求到 API → 配对成功
📁 文件结构
cloud-local-bridge/ ├── SKILL.md ├── scripts/ │ ├── qq_handler.py # 🆕 自然语言处理器 │ ├── bridge_server.py # 服务端 │ ├── bridge_client.py # 客户端 │ └── sync_files.py # 文件同步 └── references/ └── EXAMPLES.md
⚠️ 注意事项
配对码 10 分钟后过期 配对状态保存在 ~/.openclaw/bridge_pairing_state.json 确保网络互通
Category context
Messaging, meetings, inboxes, CRM, and teammate communication surfaces.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
4 Scripts2 Docs
- SKILL.md
- references/EXAMPLES.md
- scripts/api_handler.py
- scripts/bridge_client.py
- scripts/bridge_pair.py
- scripts/bridge_server.py