Data Transform Generator for Openclaw

A zero-config CLI utility that uses AI to generate complete ETL and data transformation scripts for seamless system migrations.

lxgicstudios
v1.0.1
Jan 29, 2026
0
0
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install data-transform-gen

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install data-transform-gen 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 Data Transform Generator?

Data Transform Generator is a specialized tool within the Openclaw Skills ecosystem designed to automate the tedious process of writing scripts for data migration and transformation. By simply describing the source and destination systems, developers can generate fully functional Node.js scripts that handle complex schema mapping, data normalization, and error handling. This skill is part of a broader effort to simplify backend workflows, providing a high-performance solution for moving data between databases, files, and APIs without manual coding overhead.

As a core component of the Openclaw Skills library, this generator ensures that data integrity is maintained through built-in validation and batching strategies. It is particularly effective for developers who need to move away from legacy systems or integrate disparate data sources into a unified pipeline, offering a production-ready starting point that follows industry best practices for data engineering.

Data Transform Generator Use Cases

  • Migrating legacy data from CSV or Excel files into relational databases like PostgreSQL or MySQL.
  • Syncing real-time data from JSON-based REST APIs into local SQLite or MongoDB instances.
  • Transforming and loading data from NoSQL databases like MongoDB into search engines such as Elasticsearch.
  • Performing one-time data imports that require custom normalization, such as date formatting or string sanitization.
  • Rapidly prototyping ETL pipelines within the Openclaw Skills framework for data science and analytics tasks.

How Data Transform Generator Works

  1. The user initiates the skill by providing a natural language description of the source and destination formats.
  2. Openclaw Skills analyzes the request to determine the appropriate drivers and transformation logic required.
  3. A standalone Node.js script is generated, incorporating necessary libraries for reading, transforming, and writing data.
  4. The generated script includes logic for batch processing to handle large datasets and progress logging for transparency.
  5. The developer reviews and executes the script to complete the migration or integration process.

Data Transform Generator Setup

To use this tool from the Openclaw Skills collection, you must have Node.js 18 or higher installed. No permanent installation is required as it can be run via npx. Ensure your environment variable is configured.

export OPENAI_API_KEY='your_api_key_here'
npx ai-data-transform "CSV to PostgreSQL"

For a full list of commands and options, use the help flag:

npx ai-data-transform --help

Data Transform Generator Data Schema & Taxonomy

Data Component Description
Supported Sources CSV, Excel, JSON, MongoDB, SQL, REST APIs
Supported Destinations PostgreSQL, MySQL, SQLite, Elasticsearch, JSON/CSV files
Transformation Logic Schema mapping, type conversion, data normalization, and sanitization
Script Architecture Node.js based with modular error handling and batching support
Metadata Integrated progress logging and validation checks

Data Transform Generator Advanced Features

  • Intelligent schema mapping that automatically detects field correlations between different systems.
  • Built-in batching mechanisms to prevent memory overflows when processing millions of rows.
  • Comprehensive error handling and validation routines to catch malformed data early in the pipeline.
  • Customizable transformation hooks for complex logic like date normalization and name formatting.
  • Seamless integration with the Openclaw Skills toolkit for multi-agent automation workflows.
  • Zero-configuration requirements, allowing for immediate execution of generated ETL scripts.

SKILL.md


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