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usage

skill:canner/wrenai#usage

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 question, requests a report or analysis, asks about metrics, revenue, customers, orders, trends, or any business data; user says 'how many', 'show me', 'what is the', 'top N', 'compare', 'trend', 'growth', 'breakdown'; user wants to explore, analyze, filter, aggregate, or summarize data from a database; agent needs to query data, connect a data source, handle errors, or manage MDL changes via the wren CLI.

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Indexed from the registries, but not analyzed yet. Lineage and listings below are current.

Execution chain 35

What it calls, runs, installs, reads and writes, with the line that does it.

Commands run 1

python -c "import sys; print(sys.prefix)"

Files written 28

GitHub repositories 1

Packages 4

pypi:wrenai[<datasource>,main]
pypi:wrenai[<datasource>]

URLs 1

https://github.com/Canner/WrenAI/tree/main/docs/core