Translate user requests into MDL-aware SQL for Wren semantic models.
npx skills add https://github.com/Canner/wren-engine --skill wren-sql
Please help me install this Agent Skill. Skill: wren-sql Source: https://github.com/Canner/wren-engine/tree/main/skills/wren-sql Command: npx skills add https://github.com/Canner/wren-engine --skill wren-sql
Wren-sql helps data teams and engineers generate and correct SQL against the Wren semantic MDL layer, reducing manual translation from business models to queries and preventing invalid references to raw tables.
Write a query against the MDL Sales model to fetch total_sales for region = 'EMEA' in the most recent quarter.
High-intent search queries and answers about installing and using this skill.
To generate SQL queries against a semantic model, you translate high-level requests into MDL-aware SQL. This approach operates on Wren's semantic MDL layer rather than raw tables, automatically applying model constraints and enforcing identifier quoting to prevent invalid references.
Your SQL query fails because an MDL data modeling environment requires referencing semantic models rather than raw database tables. The system enforces core SQL constraints and validates queries against Wren's MDL definitions, rejecting direct raw table references.
Yes, you can use natural language to build dashboards and explore data across multiple data sources. The system translates high-level requests into MDL-aware SQL, unifying exploration across disparate sources through the Wren semantic layer.
To diagnose and correct SQL errors related to dialect-specific quirks and datetime types, the system applies built-in rules and reference materials. It validates constraints, checks precise identifier quoting, and references included topics to resolve issues.
The best way to translate business model requirements into valid SQL for ad-hoc analysis is generating MDL-compliant SQL. This method automatically applies MDL constraints, ensuring queries align with the Wren semantic layer and reducing manual translation effort.
CannerGenerate a Wren MDL manifest by introspecting database schemas via ibis-server metadata endpoints.
matevipGenerate and execute read-only SQL queries to extract insights from data sources.
AradotsoCreate interactive Power BI sales dashboards with predictive forecasting.
CannerAutomate Wren Engine workflows for SQL, MDL, and MCP server tasks.
