A powerful messaging integration for managing TalkJS chat infrastructure, conversations, and user roles through an automated AI-driven workflow.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install talkjs
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 talkjs 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 TalkJS?
TalkJS is a specialized customer messaging platform that enables businesses to integrate robust chat functionality directly into their web and mobile applications. By using this integration within the Openclaw Skills ecosystem, developers can programmatically control UI components and backend messaging logic. It streamlines the implementation of sales, support, and collaboration features by abstracting the complexities of chat infrastructure.
This skill utilizes the Membrane framework to handle the heavy lifting of authentication and credential management. It allows your AI agent to interact with TalkJS data models—including conversations, messages, and users—without needing to manually manage API keys or complex auth headers. This makes it an essential tool for building intelligent, communication-aware applications.
TalkJS Use Cases
- Automating customer support responses within active chat threads.
- Syncing user profiles and roles from external databases to TalkJS.
- Programmatically creating chat conversations for specific collaboration events.
- Fetching conversation history for AI-driven analysis or reporting.
- Managing real-time user permissions and roles within a messaging context.
How TalkJS Works
- The skill initializes via the Membrane CLI to establish a secure authenticated session.
- A connection is established using the ensure command which links the Openclaw Skills environment to a specific TalkJS app domain.
- The agent polls the connection state to ensure it transitions from building to a ready state.
- Available actions such as message retrieval or user creation are discovered through natural language intent searching.
- The agent executes specific messaging actions or uses the proxy request feature to communicate directly with the TalkJS REST API with automatic header injection.
TalkJS Setup
To get started with this skill, install the required CLI and authenticate your environment:
npm install -g @membranehq/cli@latest
Perform the login to link your agent identity:
membrane login --tenant --clientName=openclaw
Establish the connection to your TalkJS instance:
membrane connection ensure "https://talkjs.com/" --json
Verify the connection is ready before running actions:
membrane connection get <connection_id> --wait --json
TalkJS Data Schema & Taxonomy
The skill organizes TalkJS data into several primary entities, manageable through standardized JSON schemas:
| Entity | Description |
|---|---|
| Conversation | Represents a chat session between two or more participants. |
| Message | Individual pieces of content sent within a conversation. |
| User | Individual participants with unique IDs and metadata. |
| Role | Permission sets defining what a user can see or do in the UI. |
All actions return structured JSON output, including inputSchema for parameters and outputSchema for result validation.
TalkJS Advanced Features
- Automatic Credential Refresh: Handles OAuth and API key rotations server-side without local storage.
- API Proxying: Allows direct execution of any TalkJS endpoint via the membrane request command when pre-built actions are not enough.
- Intent-Based Discovery: Search for specific messaging capabilities using natural language queries to identify the best action to run.
- Headless Authentication: Supports non-interactive environments by providing authorization URLs for remote login completion.
- Machine-Readable Outputs: All commands support the --json flag for seamless integration into larger automation pipelines.
SKILL.md
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