An agentic skills framework & software development methodology that works.
Claude Code skills for data portal building
PortalJS pairs agent instructions with a Next.js portal template so a builder can go from a short brief to a working data portal. The skills help you pick an architecture, scaffold the portal, connect a backend, and add datasets, charts, maps, and metadata. It is built around a three-surface portal model: Home, Catalog, and dataset Showcase.
Builders who use Claude Code to design, scaffold, and maintain data portals.
You can turn a portal brief into a working site with datasets, search, and showcases instead of assembling everything manually.
What it does
Architecture advisor
`/portaljs-architect` asks follow-up questions and recommends a portal stack before you build.
Portal scaffolding
`/portaljs-new-portal` creates a new portal with Home, Catalog, and Showcase surfaces.
Dataset loading
`/portaljs-add-dataset` adds CSV, TSV, JSON, or GeoJSON data to the portal and updates the catalog and showcase.
Resource attachments
`/portaljs-add-resource` adds extra files like data dictionaries or methodology notes to an existing dataset.
Backend connectors
`/portaljs-connect-ckan` links the portal to a CKAN backend instead of static files.
Portal migration
`/portaljs-migrate` harvests or migrates catalogs from CKAN, Socrata, OpenDataSoft, ArcGIS, or DCAT-US.
Deployment helper
`/portaljs-deploy` builds and publishes the portal to PortalJS Arc.
How to get it
- 1Create a portal — one command, nothing to install beyond Node 22+
npm create portaljs@latest my-portal cd my-portal npm run dev # → http://localhost:3000
- 2Build it with your AI assistant — PortalJS ships Claude Code skills that do the…
curl -fsSL https://raw.githubusercontent.com/datopian/portaljs/main/scripts/install-portaljs-skills.sh | bash
- 3Then, in a Claude Code session from any directory
/portaljs-architect not sure what stack you need? start here /portaljs-new-portal "Auckland Council open data portal" /portaljs-add-dataset ./data/air-quality.csv
- 4Prefer the bare template — plain Next.js, no AI, no lock-in
npx tiged datopian/portaljs/examples/portaljs-catalog my-portal cd my-portal && npm install && npm run dev # → http://localhost:3000
- 5Install the skills once into your personal scope so they're available from any directory
curl -fsSL https://raw.githubusercontent.com/datopian/portaljs/main/scripts/install-portaljs-skills.sh | bash
README
PortalJS
The AI-native framework for building data portals.
Describe the portal you want — your agent helps you choose an architecture, scaffolds it, and loads your data.
Docs
·
Discussions
·
Report a bug
Quickstart
Create a portal — one command, nothing to install beyond Node 22+:
npm create portaljs@latest my-portal
cd my-portal
npm run dev # → http://localhost:3000
You get the three surfaces — Home, a Catalog (/search), and a dataset Showcase
(/@<namespace>/<slug>) — over sample data. Plain, editable Next.js, no lock-in. Add your
own CSV/JSON to datasets.json and it renders automatically.
Build it with your AI assistant — PortalJS ships Claude Code
skills that do the assembly. Install them once (into ~/.claude/commands):
curl -fsSL https://raw.githubusercontent.com/datopian/portaljs/main/scripts/install-portaljs-skills.sh | bash
Then, in a Claude Code session from any directory:
/portaljs-architect not sure what stack you need? start here
/portaljs-new-portal "Auckland Council open data portal"
/portaljs-add-dataset ./data/air-quality.csv
/portaljs-new-portal scaffolds the three surfaces; /portaljs-add-dataset (or /portaljs-add-resource) loads data;
/portaljs-connect-ckan points it at a CKAN backend; /portaljs-deploy ships it. (All skills + install →)
Prefer the bare template — plain Next.js, no AI, no lock-in:
npx tiged datopian/portaljs/examples/portaljs-catalog my-portal
cd my-portal && npm install && npm run dev # → http://localhost:3000
You get Home, a Catalog (/search), and a dataset Showcase (/@<namespace>/<slug>) over
sample data. Add your own CSV/JSON to datasets.json and it renders automatically.
⭐ If it's useful, a star helps others find it.
Why PortalJS
Building a data portal has always meant more than a website. You have to decide where the data lives, how it's versioned, how people search it, how it's served, and how it's governed — and then wire a frontend on top. Teams either over-build on a heavy data warehouse they don't need, or under-build on a pile of scripts that doesn't scale.
PortalJS is an open-source, agentic skills framework that helps data teams build, develop, and ship data portals — and the data infrastructure underneath them. It isn't only a frontend. The skills do two jobs:
- Advise — given what you're building, what your data is, and what it's for, they recommend an architecture: storage, compute, catalog, access, hosting, metadata.
- Build — they scaffold that stack as plain, editable Next.js code with no lock-in.
It is opinionated but open: the recommended modern path is git + object storage (Cloudflare R2) + Parquet, queried with DuckDB — an open lakehouse instead of a classic warehouse. For living, incremental tables you can layer on DuckLake, and a traditional datastore (CKAN, a warehouse) stays a first-class option when you need it. You always own plain code.
Built and maintained in the open by Datopian and the PortalJS community.
Architecture at a glance
🧑 you describe what you want to build
│
▼
╭─ 🤖 AGENTIC SKILLS ────────────────────────────────── decide + build
│ /portaljs-architect · /portaljs-new-portal · /portaljs-add-dataset · /portaljs-add-chart · /portaljs-add-map …
╰─ generates plain, editable Next.js code — no lock-in
│
▼
╭─ 🖥️ SURFACES ──────────────────────────────────────── what users see
│ 🏠 Home / 🔎 Catalog /search 📊 Showcase /@ns/slug
╰─ read data through one DataProvider contract
│
▼
╭─ 🔌 PROVIDERS ─────────────────────────────────────── pluggable backends
│ 📁 static·git 🐘 CKAN 🔭 OpenMetadata 🗂️ git-LFS + R2
╰─ swap the source without touching a page
│
▼
📦 STORAGE + COMPUTE — choose your point on the spectrum:
flat files ─▶ Git-LFS + R2 ─▶ Parquet on R2 + 🦆 DuckDB ─▶ warehouse / CKAN
simplest ⭐ open lakehouse (default) heaviest
(+ DuckLake for living tables)
☁️ Substrate — Cloudflare R2 (storage) · Workers (runtime) · D1 (catalog) · Pages (static)
object storage stays S3-compatible — R2 is the default, never a lock-in
Three surfaces. Every data portal is built from three: a Home page that explains
it and offers search, a Catalog (/search) to discover datasets, and a Showcase
(/@<namespace>/<slug>) to explore one dataset — metadata, preview, download/API, and
charts/maps. (Core concepts →)
One seam. The surfaces read data only through a DataProvider, so the source — static
files today, a CKAN or lakehouse backend tomorrow — can change without touching a page.
See ROADMAP.md for the full model and the
architecture decision framework
for how /portaljs-architect turns your needs into a stack.
Build a portal with your AI assistant
PortalJS ships Claude Code skills that turn a brief into a working portal.
Setup
Install the skills once into your personal scope so they're available from any directory:
curl -fsSL https://raw.githubusercontent.com/datopian/portaljs/main/scripts/install-portaljs-skills.sh | bash
Restart Claude Code (or open a new session) and type / to see them. See
.claude/INSTALL.md for other install options (versioned plugin, or
running straight from a clone of this repo).
Use
If you're not sure how to set up your portal, start with the advisor, then build:
/portaljs-architect we have ~200 public CSVs, updated quarterly, and must publish DCAT-AP
/portaljs-new-portal "Auckland Council open data portal"
/portaljs-add-dataset ./data/air-quality.csv
/portaljs-add-dataset https://example.com/parks.geojson
The skills are interactive — if your brief is thin, they interview you in short rounds
rather than erroring. /portaljs-architect recommends a stack and hands off; /portaljs-new-portal
scaffolds the three surfaces; /portaljs-add-dataset appends to the datasets.json manifest and
the showcase renders automatically at /@<namespace>/<slug>. Run npm run dev and you
have a portal.
Prefer to build by hand? The skills are a convenience, not a requirement — scaffold the template directly with the CLI:
npm create portaljs@latest my-portal
(Or grab the bare template with no prompts: npx tiged datopian/portaljs/examples/portaljs-catalog my-portal.)
Available skills
| Skill | What it does |
|---|---|
/portaljs-architect | Advisory — turns your needs (data, scale, governance) into a recommended architecture before you build. Start here if you're unsure of the stack. |
/portaljs-new-portal | Scaffold a new portal (Home + Catalog + Showcase) from a brief — copies the template, substitutes your project name and description, installs deps, verifies the build. |
/portaljs-add-dataset | Add a CSV, TSV, JSON, or GeoJSON dataset — registers it in the catalog and renders its showcase automatically; large local files are pushed to Cloudflare R2 via Git LFS for you. |
/portaljs-add-resource | Attach another file (data dictionary, methodology, extra data) to an existing dataset — it becomes multi-resource and the showcase renders a section per file. |
/portaljs-add-chart | Add a line, bar, area, pie, or scatter chart to a dataset's showcase. |
/portaljs-add-map | Render a GeoJSON dataset on an interactive map and register it on the home page. |
/portaljs-add-geo | Auto-ingest a geospatial file (GeoJSON, Shapefile, GeoPackage, KML/KMZ, FlatGeobuf, CSV-with-geometry) on your own machine — no server: normalizes CRS to EPSG:4326, derives a PMTiles render tier and a GeoParquet query tier, pushes both plus the original to R2, and registers one dual-tier dataset the showcase maps and queries in place. |
/portaljs-define-schema | Infer a Frictionless Table Schema from a dataset's data, add license/source/keyword metadata, and surface a typed field table on its showcase. |
/portaljs-add-dcat | Make the portal harvestable — emit standards-compliant DCAT feeds (DCAT 2/3, DCAT-AP, DCAT-US, national profiles) in JSON-LD, Turtle, and RDF/XML so national/EU/US open-data portals can harvest its datasets. |
/portaljs-connect-ckan | Wire the portal to a CKAN backend over its API instead of static files. |
/portaljs-check-data-quality | Validate a dataset against its schema and flag quality issues (type mismatches, missing values, constraint violations). |
/portaljs-migrate | Harvest or migrate a whole catalog into the portal from CKAN, Socrata, OpenDataSoft, ArcGIS, or DCAT-US, over a canonical Frictionless/DCAT model. |
/arcgis-to-portaljs | Migrate a whole ArcGIS Hub site into the portal end-to-end — harvest its /data.json, export every FeatureService layer via the ArcGIS REST API, convert to the serverless dual tier (PMTiles + GeoParquet), push to R2, and write a source-vs-derived parity report. |
/portaljs-deploy | Build a static export and publish it to PortalJS Arc — Datopian-managed hosting on Cloudflare — with a live <slug>.arc.portaljs.com URL. |
Large-data scaling — big files pushed to Cloudflare R2 via Git LFS — already ships in
/portaljs-add-dataset. More skill families — metadata schemas (Frictionless/DCAT), more
backends (OpenMetadata), a browser DuckDB query layer, and access control — are on the
roadmap. Write your own — see .claude/AUTHORING.md.
What's in this repo
.claude/commands/ the agentic skills (slash commands)
examples/ reference portals — portaljs-catalog is the canonical template
packages/
core/ layout/UI components (@portaljs/core)
ckan/ CKAN catalog UI + React (@portaljs/ckan)
ckan-api-client-js/ pure CKAN API client (@portaljs/ckan-api-client-js)
site/ portaljs.com — the marketing site + docs
ROADMAP.md direction, the four contracts, sequencing
The canonical template, examples/portaljs-catalog, is where
the three surfaces and the DataProvider seam live — read it before building.
What makes it different
- 🌱 Open source, MIT, no lock-in — every skill emits plain Next.js you can fork and own.
- 🧭 Advisory, not just generative —
/portaljs-architecthelps you decide the infrastructure, not only scaffold a UI. - 🦆 Open lakehouse by default — git + R2 + Parquet queried with DuckDB, over a heavy warehouse; add DuckLake for living/incremental tables. A datastore/warehouse stays a supported choice.
- ☁️ Cloudflare-first, portable — R2 / Workers / D1 / Pages as the default substrate, but object storage stays S3-compatible.
- 🧩 Decoupled, any backend — one
DataProvidercontract in front of CKAN, DKAN, OpenMetadata, DataHub, GitHub, Frictionless, plain files — or your own. - 🎨 Bring your own stack — adopt the template or lift the skills and the three-surface model into an app you already have.
Examples
Reference implementations live in examples/:
| Example | Backend |
|---|---|
portaljs-catalog | Canonical template — Home + Catalog + Showcase over a static manifest |
portaljs-template | Minimal single-page starter |
ckan · ckan-ssg | CKAN |
github-backed-catalog | GitHub |
dataset-frictionless | Frictionless Data Package |
fivethirtyeight · openspending · turing | Real-world portals |
Community & support
- 💬 Discord — live chat and help: join the server
- 🗣️ Discussions — questions, ideas, show-and-tell: github.com/datopian/portaljs/discussions
- 🐛 Issues — bugs and feature requests: open an issue
- 📖 Docs — portaljs.com/docs
Contributing
PortalJS is built in the open and we welcome contributions of all sizes — new skills, examples, docs, and fixes. See CONTRIBUTING.md to get started, and read ROADMAP.md and VISION.md for where the project is headed.
License
Files in the repo
- .changeset
- .claude
- .claude-plugin
- .gastown
- .github
- assets
- cloud
- docs
- examples
- giftless
- packages
- scripts
- site
- skills
- tests
- .editorconfig
- .eslintignore
- .eslintrc.json
- .gitignore
- .prettierignore
- .prettierrc
- AGENTS.md
- babel.config.json
- CLAUDE.md
- CONTRIBUTING.md
- DESIGN.md
- license
- package-lock.json
- package.json
- README.md
- ROADMAP.md
- SECURITY.md
- tsconfig.base.json
- VISION.md
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