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O SkillsMP coletou 12 skills de Canner/wren-engine. Abra uma skill para revisar a origem e os detalhes.
Mostrando 12 de 12 skills coletadas.
Onboard a user to Wren Engine end-to-end. Walks through environment checks, project scaffolding, connection configuration via .env, and first query. Use when: user wants to install Wren Engine, set up a new data source connection, or bootstrap a new project…
Idioma do texto original: inglês
Generate a Wren MDL project by exploring a database with available tools (SQLAlchemy, database drivers, MCP connectors, or raw SQL). Guides agents through schema discovery, type normalization, and MDL YAML generation using the wren CLI. Use when: user wants…
Idioma do texto original: inglês
Wren Engine CLI workflow guide for AI agents. Answer data questions end-to-end using the wren CLI: gather schema context, recall past queries, write SQL through the MDL semantic layer, execute, and learn from confirmed results. Use when: user asks a data…
Idioma do texto original: inglês
Connect SaaS data (HubSpot, Stripe, Salesforce, GitHub, Slack, etc.) to Wren Engine for SQL analysis. Guides the user through the full flow: install dlt, pick a SaaS source, set up credentials, run the data pipeline into DuckDB, then auto-generate a Wren…
Idioma do texto original: inglês
Reference guide for Wren Engine connection info — explains required fields for all 18 supported data sources (PostgreSQL, MySQL, BigQuery, Snowflake, ClickHouse, Trino, DuckDB, Databricks, Spark, Athena, Redshift, Oracle, SQL Server, Apache Doris, S3, GCS,…
Idioma do texto original: inglês
Generate a Wren MDL manifest from a database using ibis-server metadata endpoints. Use when a user wants to create or set up a new Wren MDL, scaffold a manifest from an existing database, or onboard a new data source without installing any database drivers…
Idioma do texto original: inglês
Interact with Wren Engine MCP server via plain HTTP JSON-RPC requests — no MCP client SDK required. Covers session initialization, tool discovery, and calling all 20+ Wren tools (query, deploy, metadata, health check) using standard HTTP POST with JSON-RPC…
Idioma do texto original: inglês
Set up Wren Engine MCP server via Docker and register it with an AI agent. Covers pulling the Docker image, running the container with docker run, mounting a workspace, configuring connection info via the Web UI (with Docker host hint), registering the MCP…
Idioma do texto original: inglês
Save, load, and build Wren MDL manifests as YAML project directories for version control. Use when a user wants to persist an MDL as human-readable YAML files, load a YAML project back into MDL JSON, or compile a YAML project to a deployable mdl.json file.
Idioma do texto original: inglês
End-to-end quickstart for Wren Engine — create a workspace, generate an MDL from a live database, save it as a versioned project, start the Wren MCP Docker container, and verify the setup with a health check. Trigger when a user wants to set up Wren Engine…
Idioma do texto original: inglês
Write and correct SQL queries targeting Wren Engine — covers MDL query rules, filter strategies, data types (ARRAY, STRUCT, JSON/VARIANT), date/time functions, Calculated Fields, BigQuery dialect quirks, and error diagnosis. Use when generating or debugging…
Idioma do texto original: inglês
Wren Engine — semantic SQL engine for AI agents. Query 22+ data sources (PostgreSQL, BigQuery, Snowflake, MySQL, ClickHouse, etc.) through a modeling layer (MDL). This skill is the main entry point: it guides setup, delegates to focused sub-skills for SQL…
Idioma do texto original: inglês