A powerful SMS marketing and automation skill that enables AI agents to manage personalized messaging campaigns and customer data through DingConnect.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install dingconnect
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 dingconnect 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 DingConnect?
The DingConnect skill for Openclaw Skills empowers developers to integrate sophisticated SMS marketing capabilities directly into their AI agent workflows. By leveraging the Membrane framework, this skill abstracts away the complexities of OAuth and credential management, allowing agents to focus on executing marketing logic rather than infrastructure maintenance.
Whether you are managing customer engagement or tracking deal progress, this integration provides a unified interface for SMS messaging. It is designed for marketing teams and businesses that require programmatic access to send personalized messages, track performance metrics, and sync data across diverse platforms seamlessly.
DingConnect Use Cases
- Automating personalized SMS marketing campaigns based on customer triggers.
- Syncing CRM data including Contacts, Companies, and Deals with SMS outreach history.
- Managing bulk operations for high-volume customer engagement.
- Generating and tracking leads through landing pages and chat widgets.
- Automating task creation and follow-ups within the DingConnect ecosystem.
How DingConnect Works
- The AI agent initializes a connection to DingConnect via the Membrane CLI.
- Authentication is handled server-side, providing a secure connection ID without exposing raw API keys.
- The agent searches for specific capabilities using natural language intents to find relevant actions like sending messages or updating contacts.
- Actions are executed with JSON parameters, with Membrane managing the underlying API requests and pagination.
- If a specialized endpoint is required, the agent uses a proxy request to interact directly with the DingConnect API while maintaining automated header injection.
DingConnect Setup
First, install the Membrane CLI globally to enable the use of Openclaw Skills:
npm install -g @membranehq/cli@latest
Next, authenticate your environment and specify your agent type:
membrane login --tenant --clientName=openclaw
Connect your DingConnect account to obtain a connection ID:
membrane connection ensure "https://www.dingconnect.com/" --json
DingConnect Data Schema & Taxonomy
The skill interacts with a wide variety of DingConnect data objects. Common entities include:
| Entity Type | Description |
|---|---|
| Contact | Core customer records with support for custom fields. |
| Deal | Sales pipeline data including value and stage tracking. |
| Lead | Potential customer entries generated via forms or widgets. |
| Automation | Workflow logic and triggered messaging sequences. |
| Report | Performance metrics for SMS campaigns and engagement. |
All data is exchanged via JSON, and metadata for actions can be inspected using the action list command.
DingConnect Advanced Features
- Multi-agent support optimized for platforms like openclaw, claude, and windsurf.
- Automatic credential refresh and transparent proxying for long-running marketing automations.
- Natural language action discovery to minimize token usage during development.
- Support for custom fields across Contacts, Companies, and Leads to match unique business logic.
- Long-polling connection states for headless environment deployments.
SKILL.md
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