A powerful customer service skill for AI agents to manage conversations, users, and support workflows via Wonderchat.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install wonderchat
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 wonderchat 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 Wonderchat?
Wonderchat is a comprehensive customer service platform designed to bridge the gap between businesses and their customers across live chat, email, and social media. This Openclaw Skills integration allows AI agents to act as technical intermediaries, managing message flows and user records to significantly improve customer satisfaction and support response times.
By leveraging this skill, developers can grant their AI agents the ability to interact with the Wonderchat ecosystem through Membrane. This ensures that the agent can handle sophisticated customer support tasks while Membrane manages the complex underlying infrastructure, such as persistent authentication and secure API connectivity.
Wonderchat Use Cases
- Automating responses to common customer inquiries within live chat and social media channels.
- Managing and updating customer user profiles based on conversation history.
- Synchronizing messaging data between Wonderchat and other business productivity tools.
- Triggering specific support workflows based on the intent of an incoming message.
How Wonderchat Works
- The AI agent initializes a connection to the Wonderchat domain through the Membrane CLI.
- Membrane handles the OAuth or API key handshake, ensuring a secure and persistent connection state.
- The agent utilizes natural language intent to search for specific Wonderchat actions (like sending a message or fetching a user).
- The agent executes these actions using JSON parameters, which Membrane translates into authorized API requests.
- For specialized needs, the agent can perform proxy requests where Membrane automatically injects headers and handles token refreshes.
Wonderchat Setup
First, install the Membrane CLI to enable Openclaw Skills functionality:
npm install -g @membranehq/cli@latest
Next, authenticate your environment and specify your agent type:
membrane login --tenant --clientName=openclaw
Connect to the Wonderchat service to establish the bridge:
membrane connection ensure "https://wonderchat.io/" --json
If the connection is building, wait for the ready state:
npx @membranehq/cli connection get <id> --wait --json
Wonderchat Data Schema & Taxonomy
The Wonderchat skill organizes data around three primary entities, accessible via pre-built actions or proxy requests:
| Entity | Description | Attributes |
|---|---|---|
| Conversation | The top-level container for a support interaction. | ID, Status, CreatedAt |
| Message | Individual units of communication within a conversation. | Text, SenderID, Timestamp |
| User | Metadata and contact information for the customer. | Name, Email, Social Handles |
All data is processed as JSON, ensuring compatibility with modern AI agent workflows.
Wonderchat Advanced Features
- Natural Language Action Discovery: Search for available capabilities using human-like intent strings rather than rigid endpoint documentation.
- Automated Credential Refresh: Membrane manages session persistence so the AI agent never loses access during long-running tasks.
- Transparent Proxy Requests: Directly call the Wonderchat API through an authenticated proxy for edge cases not covered by standard actions.
- Multi-Agent Compatibility: Tailor tool usage by specifying agent types like openclaw or claude during login.
SKILL.md
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