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Official · OpenClawFreePublished on GitHub

convex-seed

Populate Convex database tables with sample records or bulk imports. The skill guides data preparation against the schema, repeatable loading without duplicate records, and row count checks after the import.

OriginalShow the original description

Seed or import data into the Convex database.

See how to install

Good for

  • Load sample data for development
  • Import bulk data into Convex
  • Make data loading safe to repeat
  • Check row counts after importing

Files included (1)

  • SKILL.md767 B

SKILL.md (original)

Review the instructions the agent will receive before you install.

<!-- GENERATED from convex-agents content/capabilities/seed.json — do not edit by hand. -->

Seed / import data

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

Workflow

  1. For fixtures: write an internalMutation that inserts sample rows; run it with npx convex run.
  2. For bulk import: shape the data to the schema and use npx convex import.
  3. Make seeding idempotent (clear-then-insert or upsert) so re-running is safe.
  4. 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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