A comprehensive integration for Chatlayer that enables AI agents to manage conversational data, automate customer service workflows, and manipulate chatbot records via Membrane.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install chatlayer
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 chatlayer 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 Chatlayer?
Chatlayer is a premier conversational AI platform that empowers businesses to deploy sophisticated chatbots for customer service and sales automation. This skill, part of the Openclaw Skills library, integrates Chatlayer with the Membrane ecosystem, providing developers and AI agents with a standardized interface to interact with training data, intents, entities, and conversation logs.
By leveraging this skill, developers can bypass the complexities of manual API authentication and credential refreshing. The integration allows for high-level management of Chatlayer resources, making it easier to build agents that can dynamically update bot behavior, sync customer data, and automate complex interaction cycles within a secure environment.
Chatlayer Use Cases
- Synchronizing customer table records between Chatlayer and external CRM platforms.
- Automating the management of training data, including intents and user utterances.
- Filtering and retrieving conversation logs for automated sentiment analysis or reporting.
- Dynamic insertion and updating of records in Chatlayer data tables during live interactions.
- Prototyping AI-driven support agents that can query and modify bot state in real-time.
How Chatlayer Works
- Install the Membrane CLI to provide the necessary environment for running Openclaw Skills.
- Authenticate your session using the login command which links your environment to a specific agent type.
- Establish a secure connection to the Chatlayer platform using the app domain, allowing Membrane to manage the full OAuth lifecycle.
- Use natural language intent searching to discover available actions like listing customers or updating table data.
- Execute specific actions or perform raw API proxy requests with automatic header injection and credential management.
Chatlayer Setup
To integrate this skill into your workflow, first install the CLI and authenticate with your account:
npm install -g @membranehq/cli@latest
membrane login --tenant --clientName=openclaw
Connect your Chatlayer instance to start using Openclaw Skills:
membrane connection ensure "https://engage.sinch.com/chatlayer-advanced-chatbot-ai-technology/" --json
If the connection state is BUILDING, poll for readiness:
membrane connection get <connection_id> --wait --json
Chatlayer Data Schema & Taxonomy
The skill interacts with Chatlayer's hierarchical data model, organized as follows:
| Resource | Description |
|---|---|
| Agent | The root chatbot configuration and model environment. |
| Training Data | Contains Intents (user utterances) and Entities (metadata values). |
| Tables | Structured data storage used for managing records and customer info. |
| Conversations | Real-time and historical logs of user-to-bot interactions. |
| Integrations | External service connections managed within the Chatlayer dashboard. |
Chatlayer Advanced Features
- Natural language discovery of actions to match developer intent with specific API capabilities.
- Automated credential management and transparent token refresh for uninterrupted automation.
- High-performance proxy requests that automatically inject security headers and base URLs.
- Machine-readable JSON output mode for all commands to support multi-agent orchestration.
- Robust filtering and pagination support for large-scale data table operations.
SKILL.md
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