A powerful integration skill for AI agents to manage Tiledesk customer support data, automate chatbot workflows, and access knowledge base items.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install tiledesk
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 tiledesk using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Tiledesk skill for Openclaw Skills enables AI agents to interface directly with the Tiledesk customer support platform. By leveraging the Membrane framework, agents can interact with live chat, manage bots, and query knowledge base items without the complexity of manual authentication. This integration ensures that your AI coding agent can build, modify, or maintain customer service workflows efficiently.
This skill eliminates the need for manual API key management by using a centralized connection system. Whether you are updating bot intents or retrieving knowledge base articles, the Tiledesk integration provides a secure and standardized way to extend the capabilities of your AI agents within the Openclaw Skills ecosystem.
First, install the Membrane CLI to manage your Openclaw Skills:
npm install -g @membranehq/cli@latest
Next, login and specify your agent type:
membrane login --tenant --clientName=openclaw
Create a connection to Tiledesk:
membrane connection ensure "https://tiledesk.com" --json
If the connection is building, wait for it to be ready:
npx @membranehq/cli connection get <id> --wait --json
The Tiledesk skill organizes data around the Project entity. Below is the metadata taxonomy managed by the skill:
| Entity | Components | Description |
|---|---|---|
| Project | Bot, Knowledge Base | The top-level container for all Tiledesk resources. |
| Bot | Intent, Reply | Defines the automated conversational logic. |
| Knowledge Base | KB Item | A collection of articles or data points used for AI training and support. |
| Actions | inputSchema, outputSchema | Metadata defining the parameters and return types for each Tiledesk operation. |
membrane request while maintaining automatic header injection.--json flag for seamless integration into automated CI/CD or agentic pipelines.Loading
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