/portaljs-add-dataset
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
$ npx -y skills add datopian/portaljs --skill portaljs-add-dataset --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
- You can call itInvoke it directly when you want it.
- Slash command
/portaljs-add-dataset
Context preview
The summary Claude sees to decide when to auto-load this skill.
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
SKILL.md
portaljs-add-dataset.SKILL.mdname: portaljs-add-dataset
description: 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.
allowed-tools: Read, Write, Edit, Bash(npm:*), Bash(npx:*), Bash(git:*), Bash(curl:*), Bash(mkdir:*), Bash(cp:*), WebFetch
version: 1.0.0
author: Datopian <hello@datopian.com>
license: MIT
compatibility: Claude Code with PortalJS portals (Next.js 14, React 18, Node 18+). Runs from any project via the plugin, a personal ~/.claude/commands install, or a portaljs clone.
tags:
- portaljs
- data-portal
- dataset
- csv
- geojson
- catalog
PortalJS — Add Dataset
Overview
Register a dataset in a PortalJS (`portaljs-catalog`) portal. The skill appends one entry to `datasets.json` — the single source of truth for the catalog — and routes the underlying bytes by **source first, then size**: a local file defaults to R2 via Git LFS, a remote URL defaults to passthrough (no copy). No per-dataset page is created; the catalog at `/search` lists the new entry and the dynamic showcase route `pages/[owner]/[slug].tsx` renders it automatically at `/@<namespace>/<slug>`. Supported formats for the showcase preview: CSV, TSV, JSON (array), and GeoJSON.
Prerequisites
- A scaffolded PortalJS portal (see `portaljs-new-portal`) with `datasets.json`,
`package.json`, and `pages/[owner]/[slug].tsx` present.
- The source data: a local file path or a publicly reachable URL.
- For the R2/Git LFS default route: `git` and `git-lfs` installed, and an Arc account token
(or an OSS Giftless key) to mint a push-scoped LFS credential.
- Node 18+ and npm available in the portal directory.
Instructions
The canonical, full step-by-step workflow is [`.claude/commands/portaljs-add-dataset.md`](https://github.com/datopian/portaljs/blob/main/.claude/commands/portaljs-add-dataset.md) — the single source of truth. Read and follow it when executing. Summary:
1. Gather input from `$ARGUMENTS` — source (file path or URL), portal directory (default `.`), dataset name/slug, description, namespace. If the source is missing, interview the user; never dead-end. 2. Validate the portal directory: confirm `datasets.json`, `package.json`, and `pages/[owner]/[slug].tsx` exist. 3. Detect the format from the file extension, URL extension, or `Content-Type` header (CSV, TSV, JSON array, or GeoJSON); reject anything else and ask for a conversion. 4. Route the data by source: remote URL → passthrough (default) or adopt into R2 (opt-in); local file → R2 via Git LFS (default) or inline into `public/data/` (fenced exception for bundled samples or an OSS-no-R2 fallback). 5. Append one entry to `datasets.json` — `slug`, `namespace`, `name`, `description`, `file` (the routed path/URL), `format` — keeping `(namespace, slug)` unique. 6. Verify the build with `npx next build`; fix errors (commonly malformed JSON) before reporting success. 7. Report the route taken, the manifest change, and the showcase URL.
Output
- **Modified:** `datasets.json` (one entry appended).
- **Created (route-dependent):** `data/<slug>.<ext>` tracked via Git LFS (R2 default), or
`public/data/<slug>.<ext>` (inline exception). Nothing is created for remote passthrough.
- **Verified:** `npx next build` passes.
- **Result:** the dataset appears in `/search` and renders at `/@<namespace>/<slug>`.
Error Handling
| Symptom | Cause | Fix | | --- | --- | --- | | Fetch fails for a URL source | Non-200 status or unreachable host | Report the HTTP status and ask the user to confirm the URL is publicly accessible. | | "Not a portaljs-catalog portal" | `datasets.json` missing | This is an older single-page template; ask the user how to proceed rather than failing silently. | | Unsupported format | Extension/content-type isn't csv/tsv/json/geojson | Ask the user to convert the source before continuing. | | `git lfs push` has nothing to stream | `git lfs install --local` never ran, so raw bytes were committed instead of a pointer | Run `git lfs install --local` before `git lfs track`, re-add and re-commit the file. | | R2 PUT returns 400 | A broad `http.extraHeader` was set and replayed onto the presigned URL | Use the `_jwt` Basic-auth piggyback in `lfs.url` only — never a global `http.extraHeader`. | | `(namespace, slug)` clash | Another entry already uses that pair | Ask the user for a different slug or namespace. | | `next build` fails | Malformed JSON in `datasets.json` | Print the build log, fix the JSON, rebuild before reporting success. |
Examples
Example 1 — Local CSV, default R2 route
/portaljs-add-dataset ./data/co2-emissions.csv namespace=climate
Moves the file into `data/`, tracks it with Git LFS, pushes it to R2, and appends a manifest entry whose `file` is the resulting `https://data.portaljs.com/...` URL.
Example 2 — Remote URL, passthrough (no download)
/portaljs-add-dataset https://example.org/open-data/trade.csv namespace=trade
Detects the format from the response headers and records the URL as-is in `datasets.json` — no bytes are copied.
Example 3 — GeoJSON adopted into R2
/portaljs-add-dataset https://example.org/boundaries.geojson namespace=reference adopt=true
Downloads the file, then routes it as a local file through the Git LFS → R2 path so it is hosted and versioned under the portal (useful when in-browser range queries are needed).
Example 4 — Bundled sample data, inline exception
/portaljs-add-dataset ./samples/demo.csv namespace=reference
When the portal has no R2 credentials (OSS self-host) or the file is bundled sample data, the skill copies it into `public/data/` instead, per the `.gitattributes` inline fence.
Resources
- Full workflow: [`.claude/commands/portaljs-a
Read more
name: portaljs-add-dataset description: 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. allowed-tools: Read, Write, Edit, Bash(npm:*), Bash(npx:*), Bash(git:*), Bash(curl:*), Bash(mkdir:*), Bash(cp:*), WebFetch version: 1.0.0 author: Datopian <hello@datopian.com> license: MIT compatibility: Claude Code with PortalJS portals (Next.js 14, React 18, Node 18+). Runs from any project via the plugin, a personal ~/.claude/commands install, or a portaljs clone. tags: - portaljs - data-portal - dataset - csv - geojson - catalog
PortalJS — Add Dataset
Overview
Register a dataset in a PortalJS (`portaljs-catalog`) portal. The skill appends one entry to `datasets.json` — the single source of truth for the catalog — and routes the underlying bytes by **source first, then size**: a local file defaults to R2 via Git LFS, a remote URL defaults to passthrough (no copy). No per-dataset page is created; the catalog at `/search` lists the new entry and the dynamic showcase route `pages/[owner]/[slug].tsx` renders it automatically at `/@<namespace>/<slug>`. Supported formats for the showcase preview: CSV, TSV, JSON (array), and GeoJSON.
Prerequisites
- A scaffolded PortalJS portal (see `portaljs-new-portal`) with `datasets.json`,
`package.json`, and `pages/[owner]/[slug].tsx` present.
- The source data: a local file path or a publicly reachable URL.
- For the R2/Git LFS default route: `git` and `git-lfs` installed, and an Arc account token
(or an OSS Giftless key) to mint a push-scoped LFS credential.
- Node 18+ and npm available in the portal directory.
Instructions
The canonical, full step-by-step workflow is [`.claude/commands/portaljs-add-dataset.md`](https://github.com/datopian/portaljs/blob/main/.claude/commands/portaljs-add-dataset.md) — the single source of truth. Read and follow it when executing. Summary:
1. Gather input from `$ARGUMENTS` — source (file path or URL), portal directory (default `.`), dataset name/slug, description, namespace. If the source is missing, interview the user; never dead-end. 2. Validate the portal directory: confirm `datasets.json`, `package.json`, and `pages/[owner]/[slug].tsx` exist. 3. Detect the format from the file extension, URL extension, or `Content-Type` header (CSV, TSV, JSON array, or GeoJSON); reject anything else and ask for a conversion. 4. Route the data by source: remote URL → passthrough (default) or adopt into R2 (opt-in); local file → R2 via Git LFS (default) or inline into `public/data/` (fenced exception for bundled samples or an OSS-no-R2 fallback). 5. Append one entry to `datasets.json` — `slug`, `namespace`, `name`, `description`, `file` (the routed path/URL), `format` — keeping `(namespace, slug)` unique. 6. Verify the build with `npx next build`; fix errors (commonly malformed JSON) before reporting success. 7. Report the route taken, the manifest change, and the showcase URL.
Output
- **Modified:** `datasets.json` (one entry appended).
- **Created (route-dependent):** `data/<slug>.<ext>` tracked via Git LFS (R2 default), or
`public/data/<slug>.<ext>` (inline exception). Nothing is created for remote passthrough.
- **Verified:** `npx next build` passes.
- **Result:** the dataset appears in `/search` and renders at `/@<namespace>/<slug>`.
Error Handling
| Symptom | Cause | Fix | | --- | --- | --- | | Fetch fails for a URL source | Non-200 status or unreachable host | Report the HTTP status and ask the user to confirm the URL is publicly accessible. | | "Not a portaljs-catalog portal" | `datasets.json` missing | This is an older single-page template; ask the user how to proceed rather than failing silently. | | Unsupported format | Extension/content-type isn't csv/tsv/json/geojson | Ask the user to convert the source before continuing. | | `git lfs push` has nothing to stream | `git lfs install --local` never ran, so raw bytes were committed instead of a pointer | Run `git lfs install --local` before `git lfs track`, re-add and re-commit the file. | | R2 PUT returns 400 | A broad `http.extraHeader` was set and replayed onto the presigned URL | Use the `_jwt` Basic-auth piggyback in `lfs.url` only — never a global `http.extraHeader`. | | `(namespace, slug)` clash | Another entry already uses that pair | Ask the user for a different slug or namespace. | | `next build` fails | Malformed JSON in `datasets.json` | Print the build log, fix the JSON, rebuild before reporting success. |
Examples
Example 1 — Local CSV, default R2 route
/portaljs-add-dataset ./data/co2-emissions.csv namespace=climate
Moves the file into `data/`, tracks it with Git LFS, pushes it to R2, and appends a manifest entry whose `file` is the resulting `https://data.portaljs.com/...` URL.
Example 2 — Remote URL, passthrough (no download)
/portaljs-add-dataset https://example.org/open-data/trade.csv namespace=trade
Detects the format from the response headers and records the URL as-is in `datasets.json` — no bytes are copied.
Example 3 — GeoJSON adopted into R2
/portaljs-add-dataset https://example.org/boundaries.geojson namespace=reference adopt=true
Downloads the file, then routes it as a local file through the Git LFS → R2 path so it is hosted and versioned under the portal (useful when in-browser range queries are needed).
Example 4 — Bundled sample data, inline exception
/portaljs-add-dataset ./samples/demo.csv namespace=reference
When the portal has no R2 credentials (OSS self-host) or the file is bundled sample data, the skill copies it into `public/data/` instead, per the `.gitattributes` inline fence.
Resources
- Full workflow: [`.claude/commands/portaljs-a
🌀 AI-native framework for building data portals. Scaffold a full portal from a brief and load datasets in minutes with agentic skills — any backend (CKAN, GitHub, Frictionless).
Repo: datopian/portaljs
Other skills on portaljs.
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Open skill - /portaljs-add-chart
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.
Open skill - /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
Open skill - /portaljs-add-geo
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
Open skill - /portaljs-add-map
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Open skill - /portaljs-add-resource
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
Open skill

