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seed

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UpdatedJuly 7, 2026 at 16:41

Seed the Convex database with starter/fixture data or import an existing dataset (CSV/JSON). TRIGGER when the user wants sample/seed data or to import a dataset into Convex. Idempotent, schema-matching.

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get-convex

get-convex/convex-backend-skill

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SKILL.md

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name	seed
description	Seed the Convex database with starter/fixture data or import an existing dataset (CSV/JSON). TRIGGER when the user wants sample/seed data or to import a dataset into Convex. Idempotent, schema-matching.

Seed / import data

Populate tables via an internalMutation seed function (re-runnable) or npx convex import, matching the schema.

Steps

For fixtures: write an internalMutation that inserts sample rows; run it with npx convex run.
For bulk import: shape the data to the schema and use npx convex import.
Make seeding idempotent (clear-then-insert or upsert) so re-running is safe.
Verify row counts.

Rules

Seed via internalMutation or convex import, matching validators.
Make seeding idempotent.
Never seed secrets/PII into a shared deployment.

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