🎯

wren-onboarding

🎯Skill

from canner/wrenai

What it does

Walks AI agents through Wren Engine onboarding — environment checks, project scaffolding, connection configuration, and first query — with step-by-step procedural guidance.

📦

Same repository

canner/wrenai(6 items)

wren-onboarding

Installation

Vibe Index InstallInstalls to .claude/skills/

npx vibeindex add canner/wrenai --skill wren-onboarding

skills.sh Install⚠ Installs to .agents/skills/

npx skills add canner/wrenai --skill wren-onboarding

Manual InstallCopy SKILL.md content and save to the path below

~/.claude/skills/wren-onboarding/SKILL.md

SKILL.md

250Installs

AddedMay 8, 2026

View on GitHub Back to Skills

More from this repository5

🎯

wren🎯Skill

The open context layer for AI agents over business data — provides semantic modeling so agents understand what your data means, enabling accurate data querying without manual configuration.

🎯

wren-generate-mdl🎯Skill

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.

🎯

wren-usage🎯Skill

Agent workflow guide for the Wren Engine CLI that enables end-to-end data analysis — from gathering schema context and recalling past queries to writing SQL through the MDL semantic layer and executing results.

🎯

wren-dlt-connector🎯Skill

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.

🎯

wren-enrich-context🎯Skill

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.