A comprehensive messaging integration that enables AI agents to send WhatsApp messages, manage templates, and handle conversational flows via the Gupshup platform.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install gupshup
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install gupshup using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Gupshup skill for Openclaw Skills provides a powerful interface for AI agents to interact with one of the world's leading conversational messaging platforms. By leveraging this integration, developers can equip their agents with the ability to manage users, organizations, and sophisticated messaging workflows across channels like WhatsApp and SMS.
This integration is powered by Membrane, which simplifies the developer experience by handling complex authentication plumbing and credential refreshing automatically. It allows agents to focus on high-level logic—such as sending stickers, documents, or template-based messages—without manually managing API headers or security tokens.
First, install the Membrane CLI to manage your Openclaw Skills:
npm install -g @membranehq/cli@latest
Authenticate your agent (replace <agentType> with openclaw or your preferred IDE):
membrane login --tenant --clientName=openclaw
Connect to Gupshup:
membrane connection ensure "https://www.gupshup.io/developer/home" --json
If the connection state is BUILDING, poll until ready:
membrane connection get <id> --wait --json
The skill organizes Gupshup's conversational entities into a structured taxonomy easily accessible via Openclaw Skills:
| Entity | Description |
|---|---|
| Bot | The core conversational unit and its associated channels. |
| Template | Pre-approved WhatsApp message formats for notifications. |
| Flow | Logical sequence of automated messaging interactions. |
| User | Recipient data and interaction history. |
| Report | Analytical data regarding message delivery and engagement. |
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