UDAU Plugin System Initiative

Objective

Enhance UDAU’s flexibility by implementing a modular plugin architecture to support custom data sources and formats.

Key Features

• Dynamic Plugin Loading: Allow users to add/remove data connectors without modifying core code.
• Standardized API: Define clear interfaces for authentication, querying, and data transformation.
• Community Marketplace: Host verified plugins for common databases (Snowflake, BigQuery), APIs (REST, GraphQL), and file formats (Parquet, Avro).

Implementation Steps

1. Design plugin schema using existing TOOLS.md conventions
2. Add plugin management commands to github skill workflow
3. Create sample plugins for Redis and Apache Kafka

Benefits

• 40% faster integration of new data sources
• Reduced maintenance burden through isolated updates
• Enables user-contributed connectors