One of 30 skills in the get-convex/agent-skills package — works on its own, and pairs well with its siblings.
WHEN YOUR AGENT SHOULD USE IT
USE FOR
- Load sample rows for development or tests.
- Import a batch of existing data into a table.
- Confirm row counts after loading.
DO NOT USE FOR
- Loading secrets or personal data into a shared deployment.
Documents
This is the playbook your agent receives when the skill activates — you don't need to read it to use the skill, but it's here to audit before installing.
Seed / import data
Populate tables via an internalMutation seed function (re-runnable) or npx convex import, matching the schema.
Workflow
- 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.
Installation
Copy & paste — that's it
npx skills add get-convex/agent-skills --skill "convex-seed" --full-depthRun this in your project — your agent picks the skill up automatically.
License
Licensed under Apache-2.0— you can use, modify, and redistribute it under that license's terms.
View the full license file on GitHub →