A comprehensive deployment and troubleshooting assistant designed to streamline the setup and maintenance of OpenClaw environments.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install openclaw-helper
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install openclaw-helper using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is OpenClaw Helper?
The OpenClaw Helper is a specialized utility focused on the end-to-end lifecycle of OpenClaw deployments. It provides developers with a structured nine-stage navigation path, from initial server access to advanced AI model integration and Feishu channel configuration. By integrating this skill into your workflow, you ensure that your Openclaw Skills are configured correctly, minimizing downtime and configuration errors through validated command templates and environment checks.
This tool acts as a technical bridge, synthesizing complex deployment steps into actionable sequences. Whether you are configuring primary model providers or troubleshooting WebSocket connection failures, the OpenClaw Helper provides the precise bash snippets and log keyword analysis required to maintain a stable AI agent environment.
OpenClaw Helper Use Cases
- Initializing a new OpenClaw server environment and verifying version compatibility.
- Configuring AI model providers including Anthropic and OpenAI for agent processing.
- Setting up Feishu (Lark) communication channels with proper API permissions.
- Troubleshooting common connection errors like the 99991672 permission code or WebSocket failures.
- Monitoring system health through automated log analysis and service restarts.
How OpenClaw Helper Works
- The skill identifies deployment triggers such as installation or configuration requests related to OpenClaw.
- It guides the user through a nine-stage deployment roadmap, ensuring each technical milestone is validated.
- It generates context-specific bash commands with necessary environment prefixes like NVM for remote execution.
- It analyzes error logs and symptoms to provide targeted solutions from a pre-defined troubleshooting database.
- It verifies the final end-to-end communication between the AI gateway and the messaging platform.
OpenClaw Helper Setup
To use this helper effectively within your Openclaw Skills ecosystem, ensure you have SSH access to your server. Use the following command to verify your environment:
export NVM_DIR="/root/.nvm"; . "$NVM_DIR/nvm.sh";
openclaw --version
Configuration is typically handled via the openclaw config set command. For instance, to set your primary model, you would execute a remote command similar to:
ssh root@<IP> 'export NVM_DIR="/root/.nvm"; . "$NVM_DIR/nvm.sh"; openclaw config set "agents.defaults.model.primary" "provider/model-id"'
OpenClaw Helper Data Schema & Taxonomy
The skill manages configuration data primarily through the openclaw.json file located in the root directory. The data structure is organized as follows:
| Component | Configuration Key | Purpose |
|---|---|---|
| Models | models.providers |
Stores AI API credentials, base URLs, and model specifications |
| Channels | channels.feishu |
Manages messaging platform integration, AppIDs, and secrets |
| Agents | agents.defaults |
Defines default behavior and primary model selections for Openclaw Skills |
| Service | openclaw-gateway |
Managed via systemd for process persistence and logging |
OpenClaw Helper Advanced Features
- Remote execution templates with automatic NVM path resolution for headless environments.
- Detailed error mapping for Feishu Open Platform permission codes (e.g., 99991672).
- Automated JSON syntax validation for local configuration files.
- Log-level keyword identification for rapid debugging of WebSocket and API failures.
- Support for multi-provider AI model configurations including reasoning and context window settings.
SKILL.md
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