跳到正文
cccskills
免费在 GitHub 公开

portaljs-add-dcat

Make a PortalJS portal harvestable by national/EU/US open-data portals — emit standards-compliant DCAT catalog feeds (DCAT 2/3, DCAT-AP, DCAT-US, national profiles) in JSON-LD, Turtle, and RDF/XML at build, with autodiscovery and per-profile conformance checking. Use when a portal needs to be harvested by data.europa.eu, data.gov, or a national open-data catalog.

中文简介正在准备中。当前显示原文说明。

查看安装方法

包含的文件(2)

  • SKILL.md7.2 KB
  • references/reference.md5.1 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

PortalJS — Add DCAT

Overview

Turn an existing PortalJS (portaljs-catalog) portal into a harvestable data catalog. PortalJS is Frictionless-native — a dataset is a Data Package (see portaljs-define-schema) — and DCAT is the serialization + harvest layer on top (lib/metadata/dcat.ts + lib/metadata/dcat-profiles.ts). This skill selects one or more DCAT application profiles, maps every dataset's metadata to them, and writes static feed files at build time — JSON-LD, Turtle, and RDF/XML — so external catalogs (data.europa.eu, data.gov, national portals) can harvest the datasets automatically, on any static host, with no runtime.

Prerequisites

  • A scaffolded PortalJS portal with datasets.json, package.json, and lib/metadata/ (the metadata-profile contract) present.
  • lib/metadata/dcat.ts (the DCAT-3 core) already in place — profiles augment it.
  • Node 18+ and npm available in the portal directory.
  • For DCAT-AP / DCAT-US: a publishing organization (name + homepage) and a contact (name + email) — both profiles require dct:publisher and dcat:contactPoint.
  • Optional but recommended: network access to run SHACL conformance checks against the official EU ITB validator or pyshacl.

Instructions

The canonical, full step-by-step workflow is .claude/commands/portaljs-add-dcat.md — the single source of truth. Read and follow it when executing. Summary:

  1. Gather input from $ARGUMENTS (interview if thin): portal directory (default .), profiles (default ["dcat-3"]), site URL, publisher, contact, license, themes, languages, access level.
  2. Validate the portal directory: confirm datasets.json, package.json, and lib/metadata/ exist; stop with an ERROR: if the metadata contract is missing.
  3. Ensure the DCAT profile layer is present — dcat-profiles.ts, dcat-rdf.ts, dcat-validate.ts — copying canonical versions from examples/portaljs-catalog if the portal predates this skill.
  4. Ensure scripts/generate-dcat.ts is wired to predev/prebuild and emits per-profile x serialization feeds from dcat.config.json.
  5. Write dcat.config.json with the gathered profiles, publisher, contact, license, themes, and access level.
  6. Add feed autodiscovery: a <link rel="alternate" type="application/ld+json"> to pages/_document.tsx pointing at /catalog.jsonld.
  7. Generate the feeds and check conformance: run npm run generate:dcat and surface any missing mandatory fields.
  8. Verify the RDF: confirm the JSON-LD parses, and cross-check that JSON-LD, Turtle, and RDF/XML agree; run SHACL validation (ITB for DCAT-AP, pyshacl for DCAT-US) when network/tooling allow.
  9. Verify the build with npx next build; fix errors before reporting success.
  10. Report the profiles emitted, feed paths, conformance status, and next steps (register with the harvester, run portaljs-deploy).

Output

  • Created/modified: dcat.config.json (committed config).
  • Generated (build artifacts, gitignored): public/catalog.jsonld /.ttl/.rdf (canonical feed), public/catalog.<profile>.{jsonld,ttl,rdf} per configured profile, public/catalog-feeds.json (feed index).
  • Modified: pages/_document.tsx (autodiscovery <link>), package.json (generate:dcat script wired to predev/prebuild).
  • Verified: feeds are valid JSON-LD/Turtle/RDF-XML, conformance status reported, npx next build passes.

Error Handling

SymptomCauseFix
NO_METADATA_CONTRACTlib/metadata/ not foundPortal predates the metadata-profile contract; scaffold with portaljs-new-portal or add lib/metadata first.
NO_DCAT_CORElib/metadata/dcat.ts not foundThe DCAT-3 core is missing; update the portal template before adding profiles.
BAD_CONFIGdcat.config.json is not valid JSONFix the syntax and re-run npm run generate:dcat.
UNKNOWN_PROFILEProfile id not in the registryUse one of dcat-2, dcat-3, dcat-ap, dcat-us, geodcat-ap, croissant, dcat-ap-se, dcat-ap-ch, dcat-ap-de, dcat-ap-it, or register a national profile first.
Feed flagged non-conformantpublisher/contactPoint missing for DCAT-AP or DCAT-USAsk the user for the publishing organization and contact, add to dcat.config.json, regenerate.
DCAT-US SHACL rejects the publisherPublisher has no IRI (blank node)Set publisher.uri (or homepage) in dcat.config.json.
next build fails after config changeMalformed JSON in dcat.config.json or datasets.jsonPrint the build log, fix the JSON, rebuild before reporting success.

Examples

Example 1 — Default DCAT-3 feed, no national harvesting

/portaljs-add-dcat

Emits the canonical public/catalog.jsonld/.ttl/.rdf under the default dcat-3 profile, adds autodiscovery to _document.tsx, and wires generate:dcat into predev/prebuild. No publisher/contact required.

Example 2 — EU harvesting via DCAT-AP

/portaljs-add-dcat profiles=dcat-ap site=https://data.example.org

Prompts for publisher (name + homepage) and contact (name + email) since DCAT-AP requires both, writes them into dcat.config.json, and emits public/catalog.dcat-ap.{jsonld,ttl,rdf} plus the canonical feed with absolute links.

Example 3 — US federal harvesting via DCAT-US

/portaljs-add-dcat profiles=dcat-us site=https://data.example.gov

Requires an IRI-identified publisher (publisher.uri) for SHACL conformance; emits catalog.dcat-us.{jsonld,ttl,rdf} and validates against the DCAT-US 3.0 SHACL shapes with pyshacl when available.

Example 4 — Multiple profiles plus a national extension

/portaljs-add-dcat profiles=dcat-ap,dcat-ap-de site=https://daten.example.de

Emits both catalog.dcat-ap.* and catalog.dcat-ap-de.* feeds from one config; the first profile listed also becomes the canonical, un-suffixed catalog.jsonld/.ttl/.rdf.

Resources

评价

还没有评价。欢迎分享你的使用感受。

评论

无需登录即可发表。欢迎分享使用感受、提问,或说明在哪些环境下无法运行。

还没有评论。来写第一条吧。

提交后会立即公开。请勿填写邮箱、电话等个人信息。URL 最多 2 个。

0 / 1000 字

此表单受 reCAPTCHA 保护,适用 Google 的隐私权政策和服务条款。

同一仓库的技能

Migrate a whole ArcGIS Hub site into a PortalJS Arc portal end-to-end. Harvests the Hub /data.json (DCAT-US) inventory, exports every FeatureService layer through the ArcGIS REST query API with resultOffset paging, converts each to the serverless dual tier (PMTiles render + GeoParquet query) with tabular items to Parquet, pushes everything to Cloudflare R2 via Git LFS, appends dual-tier datasets.json entries, and writes a source-vs-derived parity report. Use to move a City or sector ArcGIS Hub open-data portal onto PortalJS with no server-side compute.

中文简介正在准备中。当前显示原文说明。

datopian/portaljs23702026年10月21日 更新

Add a chart (line, bar, area, pie, or scatter) to a dataset's showcase in a PortalJS portal. Installs recharts, writes a reusable Chart component, and renders it in the showcase Views section. Use when visualizing a dataset already registered in datasets.json.

中文简介正在准备中。当前显示原文说明。

datopian/portaljs23702026年10月21日 更新

Add a dataset (CSV, TSV, JSON, or GeoJSON) to an existing PortalJS portal. Appends an entry to datasets.json so the catalog and showcase render it automatically; routes the data by source (local file vs remote URL) — R2 via Git LFS by default, remote URLs by passthrough. Use when registering a new dataset in a scaffolded portal.

中文简介正在准备中。当前显示原文说明。

datopian/portaljs23702026年10月21日 更新

Auto-ingest a geospatial file (GeoJSON, Shapefile, GeoPackage, KML/KMZ, FlatGeobuf, CSV-with-geometry) into a PortalJS portal on the user's own machine, with no server. Normalizes CRS to EPSG:4326, derives a PMTiles render tier and a GeoParquet query tier, pushes all three artifacts to Cloudflare R2 via Git LFS, and appends one dual-tier datasets.json entry the showcase auto-renders. Use when the source is a vector geo format that needs a map or spatial-query view.

中文简介正在准备中。当前显示原文说明。

datopian/portaljs23702026年10月21日 更新

Render a GeoJSON dataset on an interactive Leaflet map in the Views section of a dataset's showcase. Installs react-leaflet and a Map component, then renders the map for the chosen dataset. Use when a dataset's data is geographic and a map view is needed alongside the showcase's default metadata and download.

中文简介正在准备中。当前显示原文说明。

datopian/portaljs23702026年10月21日 更新

Add another file (resource) to an EXISTING dataset in a PortalJS portal — a data dictionary, methodology, or an additional data file. Turns a single-file dataset into a multi-resource one; the showcase renders a section per resource. Use when a dataset needs a second file, such as a data dictionary, methodology doc, or an additional period's data.

中文简介正在准备中。当前显示原文说明。

datopian/portaljs23702026年10月21日 更新

查看 datopian 的全部技能

报告此技能的问题