SkillsAdd

get-convex/convex-backend-skill · Archived

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.

First seen Jul 17, 2026

Installation

$ npx skills add get-convex/convex-backend-skill --skill seed
View on skills.sh ↗ GitHub repository ↗

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Also in this package

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npx skills add get-convex/convex-backend-skill
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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Repository health

Stars 6
License Apache 2.0
Default branch main
Open issues 6
Status Archived

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 819 B
  • docs SUMMARY.md 214 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 5 installs

SKILL.md

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.