Lightlines
By caffeinelabs

extension-oql

caffeinelabs23.9k installs

Make your app's data answer everyday questions.

What it does

Adds queryable entities and schema and query endpoints to an app's canister so its structured data can answer natural-language questions.

When to use it

Use when an app stores structured collections that should be answerable in natural language.

How to use it

Give it an app's canister project; it adds queryable entities and schema and execute endpoints while preserving existing state and shared methods.

What you provide

  • An existing project

Uses

Latest review

What you need · 5

Requires mops to add caffeineai-oql to the project alongside its first import.

Auto-derivation requires moc version 1.11 or newer; the generated-app template already satisfies this requirement.


Access · 2

This skill

target canister

Write

Uploads data and indexes

oql-ingest-*.args

Write

Writes temporary call arguments