Portaljs Connect Ckan

OrganizationPopular

datopian

portaljs-connect-ckan

Wire a scaffolded PortalJS portal to a CKAN backend over its API. Generates a tiny server-side fetch client (no runtime dependency) and feeds the /search catalog and /@namespace/slug showcases from CKAN instead of datasets.json. Use when connecting an existing portal to a live CKAN instance instead of a static manifest.

Overview

Publisher	datopian
Repository	`portaljs`
Skill name	`portaljs-connect-ckan`
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 Connect Ckan 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-connect-ckan .claude/skills/portaljs-connect-ckan

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

Use it in TypingMind

Enable Portaljs Connect Ckan 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 Connect Ckan 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 Connect Ckan 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 — Connect CKAN

Overview

Connect an existing portaljs-catalog portal to a live CKAN backend for the "decoupled / any backend" path. The portal stops reading the static datasets.json manifest (and files in /public/data/) and instead feeds its two data surfaces — the /search catalog and the /@namespace/slug showcases — straight from a CKAN instance's REST API (package_search / package_show) through a generated fetch client. Output is plain, editable Next.js code with no runtime dependency — never @portaljs/ckan, whose bundle wires React UI components to React 18 internals and crashes at import under the template's React 19. Pages fetch CKAN server-side in getStaticProps/getStaticPaths, so the catalog is pre-rendered at build time and the site can still be statically deployed. Run this right after portaljs-new-portal to swap a freshly scaffolded portal's sample data over to CKAN.

Prerequisites

A scaffolded PortalJS portal (see portaljs-new-portal) with package.json, pages/, datasets.json, pages/search.tsx, and pages/[owner]/[slug].tsx present.
A CKAN base URL that is publicly reachable, e.g. https://demo.dev.datopian.com.
Node 18+ and npm available in the portal directory (no new packages are installed).

Instructions

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

Gather input from $ARGUMENTS — CKAN base URL (required), org filter (optional), group filter (optional), portal directory (default .). If the URL is missing, interview the user; never dead-end with a missing-input error.
Validate the target directory is a portaljs-catalog portal; if not, suggest portaljs-new-portal instead of failing silently.
Verify the CKAN backend is reachable via package_search?rows=1, and validate each org filter via organization_show; on failure, explain and re-prompt rather than dead-ending.
Generate lib/ckan.ts — a self-contained server-side fetch client wrapping package_search and package_show, with DMS, ORG_FILTER, GROUP_FILTER, and MAX_DATASETS as editable constants.
Rewire pages/search.tsx to list datasets from package_search, linking each to /@namespace/slug via datasetHref; leave pages/index.tsx untouched.
Overwrite pages/[owner]/[slug].tsx to pre-render one page per dataset via getStaticPaths and fetch details with package_show, previewing tabular resources through the existing Table component.
Verify the build with npx next build; fix any error before reporting success.
Report what changed: client, catalog, showcase, filters, and static page count.

Output

Created: lib/ckan.ts (fetch wrapper client — no dependency added to package.json).
Modified: pages/search.tsx (catalog reads package_search); pages/[owner]/[slug].tsx (showcase reads package_show, overwritten to drop the datasets.json source).
Unchanged: pages/index.tsx (still the static search-first landing page).
Verified: npx next build succeeds and prints the static page count.
Result: /search and /@namespace/slug are served from the CKAN backend; the DMS env var can override the base URL at deploy time without editing code.

Error Handling

Symptom	Cause	Fix
Missing CKAN URL	User invoked the skill with no `$ARGUMENTS`	Ask for the base URL (and optional org/group filter); never error out.
`package_search` request fails or times out	URL isn't a reachable CKAN root	Tell the user, ask them to confirm the URL, and retry.
Org filter not found	`organization_show` returns `success: false`	List valid orgs from `organization_list` and ask which one was meant.
Catalog renders empty after connecting	Wrong org/group filter name in `lib/ckan.ts`	Clear or correct the filter constants and rebuild.
`next build` fails	Typo in substituted `CKAN_URL` or bad TypeScript edit	Print the log, fix the first error, and re-run before reporting success.
`<Table>` fails to load a resource	CKAN resource host blocks CORS	Note that the Download link still works; prefer datastore-backed resources.

Examples

Example 1 — Public CKAN demo, no filters


/portaljs-connect-ckan url=https://demo.dev.datopian.com

Example 2 — Restrict the catalog to one organization


/portaljs-connect-ckan url=https://demo.dev.datopian.com org=my-org

Example 3 — Filter by group and target a specific portal directory


/portaljs-connect-ckan url=https://data.example.gov group=education dir=./my-portal

Resources

Full workflow: .claude/commands/portaljs-connect-ckan.md
Client, filters, and troubleshooting reference: references/reference.md
Related skills: portaljs-new-portal, portaljs-add-dataset, portaljs-deploy
CKAN Action API documentation: https://docs.ckan.org/en/latest/api/

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 Connect Ckan AI skill do?

Why use Portaljs Connect Ckan on TypingMind?

Because you install it once and use it with any model. Portaljs Connect Ckan 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 Connect Ckan in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/datopian/portaljs/tree/main/skills/portaljs-connect-ckan. 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 Connect Ckan?

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 Connect Ckan?

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

Is the Portaljs Connect Ckan 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.

View all

Wizard

mattpocock

CommunityPopular

Generate an interactive bash wizard that walks a human through steps only they can perform. Use when provisioning infrastructure, setting up credentials or CI secrets, walking an unfamiliar…

Deployment Patterns

Flujos de trabajo de despliegue, patrones de pipeline CI/CD, contenedorización Docker, health checks, estrategias de rollback y listas de verificación de preparación para producción de aplicaciones…

Docker Patterns

Patrones de Docker y Docker Compose para desarrollo local, seguridad de contenedores, networking, estrategias de volúmenes y orquestación de múltiples servicios.

Architecture Decision Records

affaan-m

CommunityPopular

コーディングセッション中にアーキテクチャ決定を構造化ADRとして記録し、自動的に決定の瞬間を検出し、コンテキスト、検討された代替案、根拠を記録します。今後の開発者がコードベースの形成理由を理解するためのADRログを維持します。

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

PortalJS — Connect CKAN

Overview

Prerequisites

Instructions

Output

Error Handling

Examples

Example 1 — Public CKAN demo, no filters

Example 2 — Restrict the catalog to one organization

Example 3 — Filter by group and target a specific portal directory

Resources

Bundled files

Frequently asked questions

Related AI Skills

Set up your own AI workspace now