Arcgis To Portaljs

OrganizationPopular

datopian

arcgis-to-portaljs

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.

Overview

Publisher	datopian
Repository	`portaljs`
Skill name	`arcgis-to-portaljs`
Stars	2.4K
Forks	332
Bundled files	2
License	MIT
Links	Skill source Repository Homepage

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.
2 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 Arcgis To Portaljs AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
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.

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/arcgis-to-portaljs .claude/skills/arcgis-to-portaljs

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Arcgis To Portaljs 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 Arcgis To Portaljs 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 Arcgis To Portaljs 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.

ArcGIS Hub → PortalJS

Overview

Migrate an entire ArcGIS Hub open-data site into a PortalJS Arc portal in one pass. Every Hub site is machine-readable — a DCAT-US catalog at /data.json, with every dataset backed by an ArcGIS REST FeatureService — so migration is a harvest → export → convert → publish → verify pipeline that runs almost fully automated on the operator's machine, no server-side compute. The tooling is the reusable arcgis-to-portaljs migrator: input is one Hub URL, output is a ready-to-deploy PortalJS catalog plus a parity report.

The skill is an orchestrator: it reuses the DCAT-US harvest from portaljs-migrate, the ogr2ogr/tippecanoe/duckdb dual-tier conversion from portaljs-add-geo, and the bulk Git-LFS → R2 push from portaljs-migrate. Its novel parts are the FeatureService REST export loop (paged features, not just a link) and the source-vs-derived parity report.

Prerequisites

A scaffolded PortalJS portal whose template ships components/MapPreview.tsx and components/GeoQuery.tsx (PR #1647 or later). Run portaljs-new-portal first if none.
Native CLIs: GDAL (ogr2ogr, ogrinfo), tippecanoe, duckdb (with spatial), and jq. macOS: brew install gdal tippecanoe duckdb jq; Debian/Ubuntu: apt-get install gdal-bin duckdb jq plus tippecanoe (apt or build from source); Windows via WSL. The skill hard-stops with the install hint if any is missing.
Arc credentials for the Git-LFS → R2 push (the token portaljs-deploy resolves), or an OSS self-hosted Giftless.

Instructions

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

Gather input — Hub URL, portal directory, project slug, optional flags (--limit, --only, --dry-run, --namespace-mode). Interview if missing; never dead-end.
Check native tools (ogr2ogr, tippecanoe, duckdb + spatial, jq). Any missing → print the per-OS install and stop.
Validate the portal directory and confirm the geo showcase components exist.
Harvest the Hub /data.json (reuse the portaljs-migrate DCAT-US map) and classify each item: vector (FeatureService), table, or non-data (web map / 3D / imagery → skipped). Under --namespace-mode owner, resolve namespaces through a publisher-normalization table with title-prefix fallback for broken {{source}} publishers (multi-publisher Hubs ship dirty publisher labels). Dedup near-duplicate hosted-view layers — but only after a mandatory live record-count check on BOTH twins: equal ⇒ dedup (keep the source layer, log the pair); different ⇒ keep both as distinct datasets. Consolidate per-year dataset series into one year-partitioned Parquet with legacy per-year view entries. Enrich from the AGOL item: sanitized metadata (license/description/dates), cleaned display title (cleanTitle — raw title still drives the slug), category (item categories → meaningful theme → keyword mapping), and a thumbnail snapshot into public/thumbnails/.
Export each vector layer through the ArcGIS REST query API with resultOffset paging (f=geojson, outSR=4326); fall back to keyset paging on transfer limits; accept a customer File Geodatabase dump for very large layers.
Convert each layer to the dual tier via the portaljs-add-geo recipe (PMTiles + GeoParquet); tabular items to Parquet. Preserve the native-CRS original.
Publish — bulk Git-LFS track + one push to R2 through Giftless, then append dual-tier datasets.json entries (upsert on (namespace, slug)).
Write arcgis-parity-report.md — record count, extent, attribute schema, and geometry validity, source vs derived, per dataset, plus the migrated/skipped/failed accounting.
Report the inventory, migrated datasets, R2 push, and parity summary.

Output

Created: data/<namespace>/<slug>.pmtiles, .parquet, and the original per vector dataset (all LFS-tracked → R2); Parquet + original per table; arcgis-parity-report.md.
Modified: datasets.json (one dual-tier entry per vector dataset, one resource entry per table); .gitattributes (LFS tracking).
Verified: the parity report compares each derived artifact to the live FeatureService.
Result: /@<namespace>/<slug> renders <MapPreview> + <GeoQuery> for each vector dataset with no page edits; the catalog lists everything migrated.

Error Handling

Symptom	Cause	Fix
`MISSING_INPUT`	No Hub URL provided	Pass the site root (e.g. `https://hub-lewisville.opendata.arcgis.com`) and retry.
`MISSING_TOOLS`	`ogr2ogr`/`tippecanoe`/`duckdb`/`jq` (or duckdb `spatial`) absent	Print the per-OS install line and stop; re-run after installing.
`NOT_A_PORTAL`	Target dir has no `datasets.json` / geo components	Run `portaljs-new-portal` first, then re-run.
`HARVEST_FAILED`	`/data.json` unreachable or not DCAT-US	Confirm the site is an ArcGIS Hub and the feed loads in a browser.
`EXPORT_FAILED`	One FeatureService layer errored or hit a hard transfer cap	Logged and skipped; try keyset paging or a customer FGDB dump for that layer.
`LFS_PUSH_FAILED`	Missing/expired Arc token or unset `lfs.url`	Re-mint the JWT (see `portaljs-deploy`); confirm `git config lfs.url`.

Examples

Example 1 — Migrate a City Hub (Lewisville)


/arcgis-to-portaljs https://hub-lewisville.opendata.arcgis.com slug=lewisville

Example 2 — Dry-run inventory + plan only (no writes)


/arcgis-to-portaljs https://streamwaterdata.co.uk --dry-run

Example 3 — Migrate a subset, one namespace per publisher


/arcgis-to-portaljs https://streamwaterdata.co.uk --only sewer-catchments,water-boundaries --namespace-mode owner

Resources

Full workflow: .claude/commands/arcgis-to-portaljs.md
REST export, classification, parity, and phasing details: references/reference.md
Ongoing sync, parity dashboard, and cutover (Phase 3): references/sync-and-cutover.md
Related skills: portaljs-migrate, portaljs-add-geo, portaljs-add-dataset, portaljs-deploy
ArcGIS REST query API: https://developers.arcgis.com/rest/services-reference/enterprise/query-feature-service-layer/ · tippecanoe: https://github.com/felt/tippecanoe · DuckDB spatial: https://duckdb.org/docs/extensions/spatial

Bundled files

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

references/reference.md5 KB
references/sync-and-cutover.md15 KB

Frequently asked questions

What does the Arcgis To Portaljs AI skill do?

Why use Arcgis To Portaljs on TypingMind?

Because you install it once and use it with any model. Arcgis To Portaljs 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 Arcgis To Portaljs in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/datopian/portaljs/tree/main/skills/arcgis-to-portaljs. 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 Arcgis To Portaljs?

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 Arcgis To Portaljs?

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

Is the Arcgis To Portaljs 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

ArcGIS Hub → PortalJS

Overview

Prerequisites

Instructions

Output

Error Handling

Examples

Example 1 — Migrate a City Hub (Lewisville)

Example 2 — Dry-run inventory + plan only (no writes)

Example 3 — Migrate a subset, one namespace per publisher

Resources

Bundled files

Frequently asked questions

Related AI Skills

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