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Portaljs Migrate

OrganizationPopular
datopian
portaljs-migrate

Migrate (harvest) datasets between open-data platforms. Reads CKAN, a DCAT-US /data.json catalog (DKAN, ArcGIS Hub, data.gov), a DCAT / DCAT-AP RDF feed (JSON-LD, Turtle, or RDF/XML), Socrata, OpenDataSoft, or an ArcGIS FeatureServer, and writes them to a static PortalJS catalog or pushes them into a CKAN instance over its API. Use when moving datasets from an external open-data platform into a PortalJS portal, or bridging one CKAN instance to another.

Overview

Publisherdatopian
Repositoryportaljs
Skill nameportaljs-migrate
Stars
2.4K
Forks
332
Bundled files
1
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by datopian on GitHub. Read the source before you install it.

Installation

Install the Portaljs Migrate AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/datopian/portaljs.git /tmp/portaljs
mkdir -p .claude/skills
cp -r /tmp/portaljs/skills/portaljs-migrate .claude/skills/portaljs-migrate
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Portaljs Migrate in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Portaljs Migrate on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Portaljs Migrate is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

PortalJS — Migrate

Overview

Harvest datasets from an external open-data platform into a PortalJS portal, or push them into a CKAN instance. Every source reads into one canonical shape — { slug, namespace, name, description, resources[] } — then writes to the target from that shape, so adding a source covers every target automatically.

Supported sources: CKAN, a DCAT-US /data.json catalog (DKAN, ArcGIS Hub, data.gov), a DCAT / DCAT-AP RDF feed, Socrata, OpenDataSoft, or an ArcGIS FeatureServer/MapServer. Supported targets: a static PortalJS catalog (datasets.json, resources linked by URL or downloaded into Cloudflare R2) or a CKAN instance over its write API.

This is the copy-into-the-portal path, the inverse of /portaljs-connect-ckan (which reads the source live at build time): a one-time, re-runnable snapshot so the portal stands alone and needs no backend.

Prerequisites

  • An existing PortalJS portal for the static target: datasets.json, package.json, and pages/[owner]/[slug].tsx must exist (the portaljs-catalog template).
  • Node 18+ and npm, with portal dependencies installed (npm install).
  • Network access to the source platform's API or feed URL.
  • For a CKAN target: a write API key in CKAN_API_KEY — never hardcoded.
  • For download copy mode: git-lfs and a PortalJS Arc account (or a self-hosted Giftless endpoint) to push resource files to R2.
  • For dcat-rdf sources: lib/metadata/dcat-harvest.ts and dcat-profiles.ts (copy from examples/portaljs-catalog/lib/metadata/ if missing), run via npx tsx.

Instructions

Full step-by-step workflow: .claude/commands/portaljs-migrate.md.

  1. Gather input — source type, source URL, target (static/ckan), portal directory, copy mode (link/download), filters. Interview instead of erroring.
  2. Validate the target — confirm the static catalog files exist, or that the CKAN URL and API key authenticate.
  3. Detect the source type from the URL (or --source) and verify reachability.
  4. Read the source into canonical dataset entries, per the source's field table in the reference doc, applying the metadata hygiene rules (license sentinel — never fabricate CC-BY; description sanitizer + fallback chain; source dates preserved with migratedAt separate; cleanTitle display-name cleanup with slugs from the raw title; category from a meaningful theme).
  5. For a static target, resolve resource paths by copy mode: link keeps source URLs; download copies files into the repo under Git LFS, pushed to R2.
  6. Print a dry-run preview; stop if --dry-run was passed.
  7. Write datasets.json (upsert or --replace), or push packages/resources into CKAN over its action API.
  8. Verify — npm run build (static) or re-query package_search (CKAN).
  9. Report datasets migrated, namespaces touched, and next steps.

Output

Static target: an updated datasets.json (upserted on (namespace, slug)), optionally with resource files in Git LFS served from Cloudflare R2, plus a passing npm run build. CKAN target: created/updated packages and resources; per-dataset failures are logged and skipped, not fatal.

Error Handling

SymptomCauseFix
"not a portaljs-catalog template"datasets.json missingConfirm the portal directory, or run /portaljs-new-portal
CKAN target rejects every write (403)Key missing, expired, or lacks org permissionSet a valid CKAN_API_KEY; stop rather than partially migrating
Source URL matches no known formatAuto-detection failedPass --source explicitly (ckan, dcat, dcat-rdf, socrata, ods, arcgis)
DCAT-RDF fetch returns HTML, not a feedURL is a portal page, not the feedFollow its <link rel="alternate"> href, or use the direct feed URL
Build fails after writeMalformed entry (missing slug/namespace/name)Inspect /tmp/portaljs-migrate-build.log, fix, rebuild
download mode push failsgit-lfs missing, or no Arc/Giftless tokenInstall git-lfs; mint a token via the Arc API or self-hosted Giftless
Duplicate datasets after re-running--replace used unintentionally, or slug collisionsOmit --replace to upsert; keep slugs unique per namespace

Examples

Example 1 — CKAN to static catalog, link mode

bash
/portaljs-migrate --source ckan --source-url https://demo.dev.datopian.com \
  --target static --portal-dir . --copy-mode link

Upserts all packages from the CKAN demo instance into datasets.json, referencing source resource URLs directly.

Example 2 — data.gov DCAT-US catalog, downloaded into R2

bash
/portaljs-migrate --source dcat --source-url https://catalog.data.gov/data.json \
  --target static --copy-mode download --org-filter epa-gov

Harvests one publisher and copies every resource file into the repo under Git LFS, served from Cloudflare R2.

Example 3 — DCAT-AP RDF feed from a national portal

bash
/portaljs-migrate --source dcat-rdf \
  --source-url https://data.europa.eu/api/hub/search/catalog.jsonld \
  --target static --dry-run

Fetches the JSON-LD feed through the RDF harvester and previews the canonical datasets without writing anything.

Example 4 — CKAN to CKAN (platform-to-platform)

bash
/portaljs-migrate --source ckan --source-url https://old-portal.example.org \
  --target ckan --target-url https://new-portal.example.org --owner-org research

Pushes every package from the old CKAN instance into the new one, filed under research.

Resources

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Portaljs Migrate AI skill do?

Migrate (harvest) datasets between open-data platforms. Reads CKAN, a DCAT-US /data.json catalog (DKAN, ArcGIS Hub, data.gov), a DCAT / DCAT-AP RDF feed (JSON-LD, Turtle, or RDF/XML), Socrata, OpenDataSoft, or an ArcGIS FeatureServer, and writes them to a static PortalJS catalog or pushes them into a CKAN instance over its API. Use when moving datasets from an external open-data platform into a PortalJS portal, or bridging one CKAN instance to another.

Why use Portaljs Migrate on TypingMind?

Because you install it once and use it with any model. Portaljs Migrate is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Portaljs Migrate in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/datopian/portaljs/tree/main/skills/portaljs-migrate. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Portaljs Migrate?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Portaljs Migrate?

As many as you like. As long as a model supports skills, you can use Portaljs Migrate with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Portaljs Migrate AI skill free?

Yes. It is published on GitHub by datopian under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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