Convex Seed

Seed or import data into the Convex database.

1 minute · 93 words · 3 sections

Install

$ npx skills add get-convex/agent-skills --skill convex-seed

$ npx skills add get-convex/agent-skills

The first command installs just this skill, by the name in its SKILL.md; the second installs the whole repository.

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.

Colophon for this issue

Colophon

How this issue was made

Source

github.com/get-convex/agent-skills, branch main, last pushed 9 September 2026.

Licence

Apache-2.0 — the text of every skill is reproduced unmodified, frontmatter included, under the upstream licence.

Discovery

33 skills found by walking the repository tree for SKILL.md, not by matching a directory convention. One layout observed: skills/*/SKILL.md.

Issue colours

Resolved from a deterministic hash of the owner name. Two accent tones are generated per issue and each is proven against its own ground before it ships: a single accent that passes AA on both light and dark paper is arithmetically impossible.

Heading repairs

1 repair applied to this skill so the document has one h1 and no skipped levels:

Shifted “3 headings” from h1 to h2 so the skill title is the only h1.

Spec compliance

Every skill satisfies the Agent Skills specification’s frontmatter rules.

Images

Images inside a skill come from the upstream repository. Where the author gave no alternative text we mark the image decorative rather than inventing a description — a plausible caption we made up is worse than none for the reader who depends on it.

Signal

Install counts come from skills.sh. They measure downloads, not quality, and an unranked repository is not an unread one.

Agent surfaces

The whole issue is available as one markdown document at /get-convex/agent-skills.md, and each skill at its own .md URL.

Publication

Set by Skills Docs from the source repository. Body text is Literata at the reader’s chosen size and measure; code is Geist Mono. Nothing on this page was written by us except this paragraph.

Seed / import data

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

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.

Seed via internalMutation or convex import, matching validators.

Make seeding idempotent.

Never seed secrets/PII into a shared deployment.