A powerful data management skill that enables AI agents to orchestrate Talend jobs, pipelines, and connections through the Membrane framework.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install talend
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 talend 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 Talend Integration for AI Agents?
The Talend skill for Openclaw Skills empowers developers and data engineers to interact with the Talend ecosystem seamlessly. By leveraging the Membrane CLI, this skill abstracts away the complexities of authentication and credential refreshing, allowing AI agents to focus on data integration logic. It provides a robust interface for managing Persons, Organizations, Leads, Deals, and complex data tasks.
Built for high-performance environments, this skill ensures that your AI coding agent can autonomously discover actions, run jobs, and even perform direct API proxy requests. Whether you are building data pipelines or ensuring data quality, this integration serves as a bridge between AI-driven workflows and Talend's enterprise-grade data management platform.
Talend Integration for AI Agents Use Cases
- Automating the execution and monitoring of Talend Jobs and Tasks.
- Synchronizing data between Talend and other enterprise platforms like CRM or ERP systems.
- Programmatically managing Talend Connections and Projects during development cycles.
- Streamlining data quality audits and pipeline orchestration through natural language commands.
- Managing organizational data including Users, Groups, and Leads directly from an AI-enabled terminal.
How Talend Integration for AI Agents Works
- The AI agent initializes the environment by installing and logging into the Membrane CLI to establish a secure session.
- A connection to the Talend platform is ensured by providing the application URL, which Membrane uses to handle OAuth or API key handshakes.
- The agent polls the connection status until it reaches a READY state, handling any required client actions like manual authentication in the browser.
- Using natural language intent, the agent searches for specific Talend actions (e.g., "list jobs" or "create lead") to retrieve the necessary input schemas.
- The agent executes the selected action with JSON parameters or performs a direct proxy request to the Talend API for advanced use cases.
Talend Integration for AI Agents Setup
First, install the necessary CLI tool for Openclaw Skills:
npm install -g @membranehq/cli@latest
Next, authenticate your agent (replace <agentType> with openclaw):
membrane login --tenant --clientName=openclaw
Establish a connection to your Talend instance:
membrane connection ensure "https://www.talend.com/" --json
Talend Integration for AI Agents Data Schema & Taxonomy
The Talend skill organizes its operations around core entities and metadata schemas to ensure structured data exchange.
| Entity | Description |
|---|---|
| Job/Task | The primary unit of execution for data pipelines. |
| Connection | Metadata containing auth state and environment configuration. |
| Project | Container for jobs, users, and specific integration logic. |
| User/Group | Identity management and access control entities within Talend. |
| Action Schema | Includes id, name, inputSchema, and outputSchema for every discovered task. |
Talend Integration for AI Agents Advanced Features
- Natural Language Action Discovery: Find the right API endpoint by describing your intent rather than memorizing documentation.
- Automated Credential Refresh: Securely manages OAuth tokens server-side, removing the need for local secret storage.
- Direct API Proxy: Send custom requests to any Talend endpoint while inheriting Membrane's built-in authentication headers.
- Long-polling Connection Recovery: Automatically waits for building states to transition to ready, ensuring high reliability for automated scripts.
- Cross-Agent Compatibility: Optimized specifically for Openclaw Skills, Claude, and other high-end AI coding environments.
SKILL.md
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