openclaw-deployer

SKILL运维和基础设施
运维和基础设施 未标注权限 许可证不明确
安装这个技能

Deploy OpenClaw to a local or cloud environment. Use for: setting up a new OpenClaw instance, migrating an existing instance, or troubleshooting deployment issues.

一句话选型结论

按资料字段整理

openclaw-deployer是运维和基础设施类的 Agent Skill,安装方式未标注,权限级别未标注,许可证不明确,有可直接复制的安装命令。技能本质是给模型读的说明书,效果取决于模型与客户端;装完先用一个小任务验证,再放进正式流程。

分类运维和基础设施 安装方式未标注 权限级别未标注权限 许可证许可证不明确
累计安装 未标注 本周 未标注
GitHub 星标 未标注 仓库 未标注
下载量 未标注 技能市场下载数
权限级别 未标注权限 安装前请确认风险范围
许可证 许可证不明确 未说明

安装

未标注
在支持 Skills 的客户端里执行,装完问一句「你有哪些技能」验证
skillhub install user_2d144860/openclaw-deployer
  1. 1
    确认客户端支持

    确认你的客户端支持 Skills(Claude、Codex、Cursor 等),并升级到较新的版本。

  2. 2
    拿到技能文件

    执行上面的命令安装;也可以把仓库里的 SKILL.md 手动放进客户端的 skills 目录。

  3. 3
    刷新技能列表

    重新打开客户端,或刷新技能列表,让新放进来的技能被加载。

  4. 4
    验证是否生效

    问一句「你有哪些技能」,确认列表里出现它,再拿一个小任务试跑。

技能档案

运维和基础设施
字段来自技能仓库与公开索引,中文说明由本站标注
作者 / 维护方user_2d144860仓库 未标注 · 版本 未标注
宿主客户端未标注技能可被这些客户端加载
安装方式未标注安装包 community
权限级别未标注权限安装前请确认风险范围
许可证未说明许可证不明确,商用前请自行确认条款
仓库可用性available技能仓库当前是否可访问
最近核验未标注上游最后核验时间 · 数据更新 1791622578
正文体量5.7 KBSKILL.md 原文大小,越大说明说明书写得越细

典型使用场景

3 类
按分类整理的常见用法,具体以 SKILL.md 为准
查服务与日志

按现象定位服务状态与日志线索。

写部署与巡检脚本

把重复的部署、巡检写成脚本。

故障排查

按步骤排查网络、依赖与配置。

选择建议

装之前先看这几条
按条目字段给出的判断,不替你决定用不用

值得选的地方

  • 有可直接复制的安装命令,不用自己翻文档找入口。

先想清楚的地方

  • 没有标注权限级别,实际能做什么要装好后确认。
  • 许可证不明确,商用或二次分发前先到仓库确认条款。
  • 没有做站内核验,内容以作者仓库为准。
  • 技能只是说明书,实际效果取决于模型与客户端,装完先用小任务试一遍。

更适合

  • 需要在运维和基础设施场景里给模型补一套做法的人。
  • 愿意先读一遍 SKILL.md、确认它会让模型做什么的人。

不太适合

  • 对许可证要求很严、必须明确可商用的人。
  • 只想装完就自动变强、不打算看说明书的人。

同类对比

6 个同类
同分类里挑最接近的几条,字段以各自详情页为准
技能权限级别安装方式累计安装宿主客户端安装命令
openclaw-deployer当前 未标注权限 未标注 未标注 未标注 有
Azure 部署 调用外部服务 GitHub 仓库 664.2 万 Codex、Claude、Cursor 有
Azure diagnostics 问题管理 调用外部服务 GitHub 仓库 657.6 万 Codex、Claude、Cursor 有
Azure aigateway 部署 调用外部服务 GitHub 仓库 655.3 万 Codex、Claude、Cursor 有
Azure AI 搜索 调用外部服务 GitHub 仓库 651.4 万 Codex、Claude、Cursor 有
Azure Cloud migrate 部署 调用外部服务 GitHub 仓库 650.7 万 Codex、Claude、Cursor 有

SKILL.md 全文

5.7 KB
模型实际读到的说明书原文,来自技能仓库

OpenClaw Deployer

This skill provides a complete workflow for deploying OpenClaw to a local or cloud environment. It covers initial setup, configuration, troubleshooting, and migration.

When to Use

  • Setting up a new OpenClaw instance from scratch
  • Migrating an existing OpenClaw instance to a new server
  • Troubleshooting OpenClaw deployment issues (e.g., container crashes, 502 errors)

Core Concepts

  • OpenClaw Server: The core application, typically run as a Docker container.
  • Persistent Volume: A directory on the host machine that is mounted into the container to store persistent data (skills, agents, logs, etc.). This is crucial for data to survive container restarts.
  • openclaw.json: The main configuration file for OpenClaw, located in the root of the persistent volume.

Deployment Workflow

Follow these steps to deploy or troubleshoot an OpenClaw instance.

1. Environment Setup

1.1. Choose a Platform

  • Railway (Hobby/Pro): Easiest for quick setup, but has memory limitations (1GB on Hobby plan). Prone to OOM (Out of Memory) errors. Not recommended for production.
  • Volcengine (火山引擎): Recommended for production. Offers high-performance servers at a low cost (e.g., 2-core 4GB for ~¥89/year). Official OpenClaw partner with one-click deployment images.
  • Local Docker: For development and testing on your local machine.

1.2. Server Requirements

  • OS: Ubuntu 22.04 or later
  • CPU: 2+ cores
  • Memory: 4GB RAM minimum. 2GB is the absolute minimum and may still experience OOM errors with heavy use. 1GB is not viable.
  • Storage: 20GB+ SSD
  • Software: Docker and Docker Compose

2. New Deployment

2.1. On Volcengine (Recommended)

  1. Navigate to the Volcengine OpenClaw deployment page.
  2. Select the 2-core 4GB instance (or higher) with a yearly subscription for the best price.
  3. Complete the purchase. The server will be pre-configured with Docker and the OpenClaw image.
  4. SSH into the server using the provided IP and password.
  5. The OpenClaw container should be running automatically. Verify with docker ps.

2.2. On Other Cloud/Local Docker

  1. Install Docker and Docker Compose.

    bash sudo apt-get update sudo apt-get install -y docker.io docker-compose

  2. Create a persistent volume directory.

    bash mkdir -p /home/ubuntu/openclaw_data

  3. Create a docker-compose.yml file.

    Use the file tool to create /home/ubuntu/docker-compose.yml with the content from templates/docker-compose.yml in this skill.

  4. Create the openclaw.json configuration file.

    Use the file tool to create /home/ubuntu/openclaw_data/openclaw.json with the content from templates/openclaw.json in this skill. Crucially, ensure "bind": "lan" is set so the server is accessible externally.

  5. Start the OpenClaw container.

    bash cd /home/ubuntu sudo docker-compose up -d

3. Troubleshooting

Symptom: 502 Bad Gateway

  • Cause 1: bind setting is wrong.

    • Diagnosis: Check the logs (docker logs openclaw). If you see listening on ws://127.0.0.1:18789, the server is only listening locally.
    • Fix: Edit /home/ubuntu/openclaw_data/openclaw.json and change "bind": "loopback" to "bind": "lan". Restart the container (docker-compose restart).
  • Cause 2: Container is not running.

    • Diagnosis: docker ps shows no running openclaw container.
    • Fix: Check the logs (docker logs openclaw) for error messages.

Symptom: Container crashes or keeps restarting (CrashLoopBackOff)

  • Cause 1: Out of Memory (OOM).

    • Diagnosis: Check dmesg or journalctl -k for "Out of memory" messages related to the Docker process. On Railway, you will receive an email notification.
    • Fix: Upgrade the server to a higher memory plan (4GB+ recommended).
  • Cause 2: Incorrect file permissions or volume mounts.

    • Diagnosis: Logs show errors like "Permission denied" when accessing files in the persistent volume.
    • Fix: Ensure the directory /home/ubuntu/openclaw_data is owned by the user running the Docker daemon, or chmod -R 777 /home/ubuntu/openclaw_data as a temporary fix.

Symptom: Skills not loading

  • Cause 1: Skills are in the wrong directory.

    • Diagnosis: SSH into the container (docker exec -it openclaw /bin/bash) and check if /home/openclaw/.openclaw/workspace/skills/ is empty or missing skills.
    • Fix: Ensure your skills are correctly placed in the persistent volume at /home/ubuntu/openclaw_data/workspace/skills/.
  • Cause 2: Incorrect SKILL.md format.

    • Diagnosis: The skill directory exists, but the skill doesn't appear in the UI.
    • Fix: Ensure SKILL.md has the correct YAML frontmatter (name, description).

4. Migration

  1. Backup the old server's persistent volume.

    ```bash

    On the old server

    tar -czvf /tmp/openclaw_backup.tar.gz /path/to/your/openclaw_data
    ```

  2. Transfer the backup to the new server.

    Use scp or another file transfer method to move openclaw_backup.tar.gz to the new server.

  3. Restore the backup on the new server.

    ```bash

    On the new server

    Make sure the new persistent volume directory is empty

    tar -xzvf openclaw_backup.tar.gz -C /home/ubuntu/openclaw_data --strip-components=1
    ```

  4. Start the OpenClaw container on the new server using the steps in section 2.2.

常见问题

5 问
答案由本站依据条目字段整理
openclaw-deployer怎么安装?

在支持 Skills 的客户端里执行:skillhub install user_2d144860/openclaw-deployer。安装方式为未标注。装完刷新技能列表或重开客户端。

openclaw-deployer支持哪些客户端?

资料没有标注宿主客户端,但只要客户端支持 Skills(Claude、Codex、Cursor 等),一般都能加载。

openclaw-deployer权限高吗,安全吗?

权限级别为未标注权限。安装前先看它会读取或写入哪些内容。

openclaw-deployer收费吗?

本站不代收费用,也没有标注具体价格。是否收费取决于技能本身和所用的模型或客户端,正式使用前按作者说明确认。

openclaw-deployer用什么许可证?

许可证标注为 未说明(许可证不明确)。商用或二次分发前请到仓库确认条款原文。

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技能内容以作者仓库为准;分类、权限级别与许可证状态的中文说明为中文整理,最近核验 未标注。