Portaljs Add Map

OrganizationPopular

datopian

portaljs-add-map

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.

Overview

Publisher	datopian
Repository	`portaljs`
Skill name	`portaljs-add-map`
Stars	2.4K
Forks	332
Bundled files	1
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.
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 Add Map 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/portaljs-add-map .claude/skills/portaljs-add-map

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

Use it in TypingMind

Enable Portaljs Add Map 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 Add Map 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 Add Map 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 — Add Map

Overview

Add an interactive Leaflet map as a view on a dataset's showcase in a portaljs-catalog portal. The skill installs react-leaflet/leaflet (added directly — never @portaljs/components), writes a reusable Map component split across MapView.tsx (the Leaflet code) and Map.tsx (a dynamic(..., { ssr: false }) wrapper, since Leaflet touches window at module load), and renders <Map /> into the Views section of the showcase route pages/[owner]/[slug].tsx for one chosen GeoJSON dataset. The dataset should already carry format: "geojson" in datasets.json; if it doesn't exist yet, the skill can copy the file and register it first.

Prerequisites

A scaffolded PortalJS portal (see portaljs-new-portal).
The target dataset registered in datasets.json with format: "geojson" (see portaljs-add-dataset), or a GeoJSON source file/URL to register.
Node 18+ and npm available in the portal directory.

Instructions

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

Gather input — dataset slug (or a GeoJSON source to register), portal directory. If any is missing, interview the user; never dead-end on a missing value.
Validate the portal directory (datasets.json, package.json, pages/[owner]/[slug].tsx must exist).
Resolve the dataset from datasets.json, or validate and register a new GeoJSON source (copy to /public/data/, append a manifest entry).
Install map dependencies: npm install react-leaflet@^5 leaflet@^1.9 and npm install -D @types/leaflet (skip if already present).
Write components/MapView.tsx and components/Map.tsx (idempotent — skip if Map.tsx already exists).
Render <Map /> into the Views section, gated on the dataset's (namespace, slug) so other showcases are unaffected. Extend an existing view-dispatch block, do not overwrite it.
Verify with npx tsc --noEmit (never next build against a live dev server).
Report the component, route, and dependency added.

Output

Created: components/MapView.tsx and components/Map.tsx (Leaflet wrapper, if absent); public/data/<slug>.geojson (only when registering a new dataset).
Modified: pages/[owner]/[slug].tsx (import + gated <Map /> in Views); datasets.json (only when registering a new dataset); package.json (react-leaflet, leaflet, @types/leaflet).
Verified: npx tsc --noEmit passes.
Result: the map renders at /@<namespace>/<slug> under a "Views" heading.

Error Handling

Symptom	Cause	Fix
Dataset not found or not GeoJSON	Slug missing from `datasets.json` or `format` is tabular	List GeoJSON datasets and re-prompt; suggest `portaljs-add-chart` for tabular data.
Source fetch/copy fails	URL returns non-200 or local path missing	Report the HTTP status or missing path; ask for a corrected source.
"Not valid GeoJSON"	Parsed JSON `type` isn't a Feature/geometry type	Tell the user and point to `portaljs-add-dataset` for tabular data.
`tsc` failure	Bad import path or gating condition	Fix the first reported error before reporting success.
Map appears on every dataset	View not gated on `(namespace, slug)`	Wrap the `<Map />` render in the dataset check shown in the Instructions.
Features render in the wrong place	Data isn't WGS84 (EPSG:4326) lon/lat	Reproject the source data to WGS84 before adding.
Slow render	Thousands of features in one file (>5MB)	Simplify geometries (e.g. `mapshaper`) before adding.

Examples

Example 1 — Map an already-registered dataset


/portaljs-add-map dataset=park-boundaries

Example 2 — Register a local GeoJSON file and map it


/portaljs-add-map source=./data/bike-routes.geojson slug=bike-routes name="Bike Routes"

Example 3 — Register a remote GeoJSON URL and map it


/portaljs-add-map source=https://example.com/districts.geojson slug=districts namespace=reference

Resources

Full workflow: .claude/commands/portaljs-add-map.md
Map props and troubleshooting reference: references/reference.md
Related skills: portaljs-add-dataset, portaljs-add-chart, portaljs-define-schema
react-leaflet documentation: https://react-leaflet.js.org/

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.md3 KB

Frequently asked questions

What does the Portaljs Add Map AI skill do?

Why use Portaljs Add Map on TypingMind?

Because you install it once and use it with any model. Portaljs Add Map 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 Add Map in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/datopian/portaljs/tree/main/skills/portaljs-add-map. 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 Add Map?

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 Add Map?

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

Is the Portaljs Add Map 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

PortalJS — Add Map

Overview

Prerequisites

Instructions

Output

Error Handling

Examples

Example 1 — Map an already-registered dataset

Example 2 — Register a local GeoJSON file and map it

Example 3 — Register a remote GeoJSON URL and map it

Resources

Bundled files

Frequently asked questions

Related AI Skills

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