
Wren
- 679 installs
- 16.8k repo stars
- Updated August 5, 2026
- canner/wrenai
A Wren CLI discovery stub that provides a semantic SQL layer over 22+ databases and exposes workflow guides for querying and setup.
About
Acts as a discovery stub for the Wren CLI, a semantic SQL layer over 22+ databases whose workflow guides live inside the CLI. A developer uses it to answer data questions, connect databases or SaaS sources, and scaffold or query MDL projects.
- Semantic SQL over Postgres, BigQuery, Snowflake, Spark, and more
- Fetches onboarding, usage, MDL, and dlt workflow guides from the CLI
Wren by the numbers
- 679 all-time installs (skills.sh)
- Ranked #107 of 911 Databases skills by installs in the Skillselion catalog
- Data as of Aug 5, 2026 (Skillselion catalog sync)
npx skills add https://github.com/canner/wrenai --skill wrenAdd your badge
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| Installs | 679 |
|---|---|
| repo stars | ★ 16.8k |
| Last updated | August 5, 2026 |
| Repository | canner/wrenai ↗ |
What it does
A Wren CLI discovery stub that provides a semantic SQL layer over 22+ databases and exposes workflow guides for querying and setup.
Files
Wren CLI
This is a discovery stub. The actual workflow guides and prompt helpers live inside the wren CLI itself, so they always match the installed wren-engine version (no skill cache, no version drift).
Install: pip install wrenai.
Workflow guides
wren skills list # all available workflow guides
wren skills get onboarding # set up Wren end-to-end
wren skills get usage # day-to-day querying
wren skills get generate-mdl # generate MDL from a database schema
wren skills get dlt-connector # connect SaaS sources via dlt
wren skills get enrich-context # add business context (units, enums, cubes)
wren skills get genbi # build & deploy a shareable GenBI web app
# add --full to include the skill's reference docs
# add --script <name> to fetch a bundled script (e.g. dlt-connector / introspect_dlt)Reference docs
Full reference docs live on the web: <https://github.com/Canner/WrenAI/tree/main/docs/core>
wren docs connection-info <ds> # required + optional connection fields for a data sourcePrompt enhancement (wraps a user question for an agent)
wren ask "<question>" --guided # for weaker LLMs (strict task flow)
wren ask "<question>" --direct # for stronger LLMs (minimal wrapping)Day-to-day data commands (not a sub-app — top-level)
wren --sql '...' # execute SQL through the MDL layer
wren query --sql '...' # same, explicit
wren dry-plan --sql '...' # transpile only, no DB hit
wren context show / build / validate # project / MDL lifecycle
wren profile add / list / switch # named connection profiles
wren memory index / recall / store # semantic memory (needs `[memory]` extra)Run wren --help for the full surface; load the matching wren skills get <name> guide before driving any multi-step workflow.