wren-dlt-connector
๐ฏSkillfrom canner/wrenai
Part of WrenAI, an open context layer that models business data semantics so AI agents can accurately query 20+ data sources including PostgreSQL, BigQuery, Snowflake, and Spark through a Rust-powered semantic engine built on Apache DataFusion.
Same repository
canner/wrenai(6 items)
Installation
npx vibeindex add canner/wrenai --skill wren-dlt-connectornpx skills add canner/wrenai --skill wren-dlt-connector~/.claude/skills/wren-dlt-connector/SKILL.mdSKILL.md
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The open context layer for AI agents over business data โ provides semantic modeling so agents understand what your data means, enabling accurate data querying without manual configuration.
Guides AI agents through generating a Wren MDL (Modeling Definition Language) project by exploring a database schema, normalizing types, and scaffolding YAML model files for use with the WrenAI semantic context layer.
Agent workflow guide for the Wren Engine CLI that enables end-to-end data analysis โ from gathering schema context and recalling past queries to writing SQL through the MDL semantic layer and executing results.
Walks AI agents through Wren Engine onboarding โ environment checks, project scaffolding, connection configuration, and first query โ with step-by-step procedural guidance.
WrenAI is an open-source context layer that provides AI agents with business semantics, examples, memory, and governance over data, enabling accurate SQL generation and data querying across any agent framework.