Individual skill
portaljs-define-schema
Define a dataset's metadata profile — infer a Frictionless Table Schema from its data, add Data Package metadata (license, sources, keywords), and write it into datasets.json so the showcase renders a typed field table. Extend or customize via the L0-L3 profile ladder. Use when a registered dataset needs field types, constraints, or catalog metadata before publishing.
skills/portaljs-define-schema/SKILL.md
Source commit fc7ccd651459549a962c8b7aa08f60f8849fd9a5
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- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
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- Observed behavior
- Network or broad shell
- Last checked
- Nov 3, 2026
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Repository context
- Repository stars (not skill ratings)
- 2,370
- Repository last updated
- Oct 28, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- data-portal Repository topic
- ckan Repository topic
- nextjs Repository topic
- open-data-portal Repository topic
- data-mesh Repository topic
- datahub Repository topic
- open-data Repository topic
- openmetadata Repository topic
- dataverse Repository topic
- dkan Repository topic
- portaljs Declared skill tag
- data-portal Declared skill tag
- schema Declared skill tag
- frictionless Declared skill tag
- metadata Declared skill tag
- datapackage Declared skill tag
- data Derived category
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SKILL.mdcore · 6,709 bytesSKILL.mdcore · 6,709 bytesreferences/reference.mddoc · 3,690 bytes
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# PortalJS — Define Schema
## Overview
Define a dataset's metadata profile — the **authoring** skill for the metadata-profile
contract (`lib/metadata`). Where `portaljs-add-dataset` registers *that* a dataset exists,
this skill describes *what its data means*: infer a Frictionless **Table Schema** (fields,
types, constraints) from sampled data, add the **Data Package** fields a catalog surfaces
(title, licenses, sources, keywords), and write them onto the dataset's entry in
`datasets.json`. The showcase at `/@<namespace>/<slug>` then renders a typed field table
instead of a bare preview. The model is Frictionless-native; DCAT is a serialization layer
built on top later, not authored here.
The skill runs on a profile ladder — reach for higher levels only when needed: