Moai Formats Data

The moai-formats-data skill enables AI agents to handle various data formats, facilitating seamless interaction with structured information across different systems. It serves as a utility layer within the Modu AI ADK ecosystem to standardize how agents process and exchange complex datasets.

When to use it

• Parsing unstructured text logs into machine-readable JSON or CSV formats for analysis.
• Converting API responses from one schema to another before passing them to downstream tools.
• Preparing raw dataset inputs for training models or generating reports.
• Normalizing inconsistent data structures from multiple sources into a unified format.

Key capabilities

• Format conversion between common data types (e.g., JSON, XML, CSV).
• Data validation and schema enforcement during transformation.
• Integration with the Modu AI ADK framework for agent workflows.
• Support for complex nested data structures and hierarchical information.

Example prompts

• "Convert this raw CSV export into a structured JSON object with proper nesting."
• "Parse these unstructured server logs and output them as a clean time-series dataset."
• "Transform the incoming XML API response into a standardized JSON format for our database."

Tips & gotchas

Ensure your input data adheres to basic structural requirements before attempting conversion, as malformed inputs may cause parsing errors. This skill is specifically designed for use within the Modu AI ADK environment and may not function independently outside that ecosystem.