메뉴
SkillsMP는 Canner/wren-engine에서 12개의 skill을 수집했습니다. skill을 열어 소스와 세부 정보를 확인하세요.
수집된 skill 12개 중 12개를 표시합니다.
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…
원문 언어: 영어
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…
원문 언어: 영어
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…
원문 언어: 영어
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…
원문 언어: 영어
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,…
원문 언어: 영어
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…
원문 언어: 영어
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…
원문 언어: 영어
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…
원문 언어: 영어
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.
원문 언어: 영어
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…
원문 언어: 영어
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…
원문 언어: 영어
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…
원문 언어: 영어