# Seed

> 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.

- Skill: `get-convex/seed` (Agent Skill)
- Install (CLI): `npx skillmds@latest add get-convex/seed`
- Raw SKILL.md: https://api.skillmd.com/api/skills/get-convex/seed/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Data & Analytics
- Author: get-convex (https://skillmd.com/u/get-convex)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/get-convex/seed

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# Seed / import data

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

## Steps
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.