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Museum Art

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huytieu
museum-art

Source authentic, high-res PUBLIC-DOMAIN artwork from museum open-access APIs (Met, Cleveland, SMK, Rijksmuseum, NGA, Art Institute of Chicago, Getty, Smithsonian) instead of AI-generated or generic-stock imagery. The default move whenever a visual needs an aesthetic, credible image (blog heroes, decks, social cards, essay/spec figures). Verified keyless recipes + licensing rules inside.

Overview

Publisherhuytieu
RepositoryCOG-second-brain
Skill namemuseum-art
Stars
1.2K
Forks
138
Bundled files
9
LicenseMIT
Links
  • 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.

  • 9 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by huytieu on GitHub. Read the source before you install it.

Installation

Install the Museum Art AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. 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.
2

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/huytieu/COG-second-brain.git /tmp/COG-second-brain
mkdir -p .claude/skills
cp -r /tmp/COG-second-brain/skills/museum-art .claude/skills/museum-art
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Museum Art 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 Museum Art 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 Museum Art 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.

museum-art: Public-Domain Artwork for Visuals

Standing rule (adopted 2026-07-24, from Eric Li's post on museum open-access): whenever a visual needs a real image with aesthetic weight, source public-domain museum artwork first - over AI-generated imagery and over generic stock. Curated, historically significant art reads as credible and sophisticated; AI-gen reads as slop. This stacks with, and reinforces, the no-ai-slop skill and your house image style. It does NOT replace the generative editorial-illustrations skill (that owns claim-driven diagrams/figures) or your house chart style - use museum art for photographic/hero/decorative/mood imagery, generative figures for data and concept diagrams.

When to reach for this

  • Blog post hero images, section breaks, mood imagery (the blog-publish image step).
  • Deck/slide backgrounds and section dividers, social cards, essay figures, spec cover art.
  • Any time the instinct is "generate an image" for something decorative or evocative. Stop and pull a real painting instead.
  • NOT for: product screenshots, UI mockups, data charts, logos, or claim-driven explanatory diagrams (those are editorial-illustrations / real captures).

Decision: which source

  1. Met -> Cleveland -> SMK first. All keyless, one JSON hop, CC0/PD, broad collections. Fastest path to a hi-res image.
  2. Need Dutch/Flemish masters or decorative arts? Rijksmuseum (keyless, 3 hops).
  3. Need European antiquities/photography and keyword isn't essential? Getty (keyless, SPARQL).
  4. Nothing fits, or you want a cross-museum search? Wikimedia Commons API (keyless aggregator, normalized license metadata) is the best general fallback.
  5. "Historical illustration/engraving/old photo" rather than fine-art painting? Go straight to Internet Archive or Wikimedia Commons.
  6. Science/health/medical essay figure? Wellcome Collection (keyless, CC0/PD).

How to fetch in THIS environment

  • Use WebFetch to hit the JSON search endpoint, then WebFetch/download the returned image URL. These APIs are server-side reachable; no browser needed.
  • Exception - Art Institute of Chicago images: the JSON API (api.artic.edu) is fine, but the image host www.artic.edu/iiif/... 403s scripted/curl fetches via a Cloudflare bot challenge. Use the JSON metadata from AIC, but download the actual image through a real/headless browser (browser-harness) or prefer a different museum for the image bytes.
  • Always filter for public domain in the query AND spot-check the per-image license flag before shipping (see Licensing).

Freshness over caching (mandatory)

Fetch fresh per need. Do NOT build a reusable local pool of downloaded images to draw from. A small cached set gets reused everywhere and becomes the new "same stock photo on every post" - sameness is a form of slop, and the variety of a huge open collection is the entire point. Fetching is keyless and sub-second, so there is no cost reason to cache pixels.

  • Cache recipes/metadata, not images - that is what this skill's references/ already are.
  • Commit an image only into the specific artifact that uses it (a post's assets/, a deck's media) once chosen - for provenance and offline builds. That is an artifact asset, never a shared library other artifacts pull from.
  • Each new visual = a fresh query. Vary the search terms and the source museum so consecutive posts do not converge on the same few crowd-pleasers.

Verified keyless recipes (2026-07-24, all live-tested)

1. The Met - best all-around default

  • Base: https://collectionapi.metmuseum.org/public/collection/v1/ - no key, 80 req/s, CC0 where isPublicDomain:true.
  • Search: GET /search?q=<term>&hasImages=true&isPublicDomain=true -> {total, objectIDs[]}
  • Object: GET /objects/{id} -> read primaryImage (full-res JPEG, static, no IIIF hop) or primaryImageSmall (web-large).
  • Example: https://collectionapi.metmuseum.org/public/collection/v1/search?q=sunflowers&hasImages=true&isPublicDomain=true

2. Cleveland Museum of Art - only one with archival TIFF

  • Base: https://openaccess-api.clevelandart.org/api/artworks/ - no key, CC0.
  • Search: GET /api/artworks/?cc0=1&has_image=1&limit=10 (add &q=monet, &skip=10).
  • Image fields on each result: images.web.url (900px), images.print.url (3400px JPEG), images.full.url (archival TIFF). Directly downloadable from openaccess-cdn.clevelandart.org.
  • Confirm share_license_status == "CC0" per result.

3. SMK (Denmark) - one-hop, broad European/Nordic

  • Base: https://api.smk.dk/api/v1 - no key. License: Public Domain Mark 1.0 (functionally CC0).
  • Search: GET /art/search?keys=*&filters=[public_domain:true]&filters=[has_image:true]
  • Read image_native directly from each result (no chain).
  • Gotcha (verified): pass filters as a repeated query param, one [field:value] bracket each. Concatenating filters=[public_domain:true][has_image:true] returns 200 but silently ignores the second condition.

4. Rijksmuseum - Dutch/Flemish masters (keyless, 3 hops)

  • Base: https://data.rijksmuseum.nl/search/collection (Linked Art, no key).
  • GET /search/collection?type=painting&imageAvailable=true -> walk object -> VisualItem -> DigitalObject -> access_point[0].id is a ready IIIF URL.
  • Mixed license: mostly CC0/PD but some CC BY 4.0 - check the per-object rights block (a CC BY item requires attribution).

5. NGA (Washington) - bulk/offline, no live search

  • CSV: https://raw.githubusercontent.com/NationalGalleryOfArt/opendata/main/data/published_images.csv - filter openaccess=1.
  • Image (IIIF): https://api.nga.gov/iiif/{uuid}/full/full/0/default.jpg
  • Per-image openaccess=0 rows are NOT open (resolution-capped, rights-restricted). Only openaccess=1 is free.

6. Art Institute of Chicago - Impressionism/European (image host caveat)

  • JSON: GET https://api.artic.edu/api/v1/artworks/search?query[term][is_public_domain]=true&fields=id,title,image_id - no key, CC0.
  • Image: build https://www.artic.edu/iiif/2/{image_id}/full/843,/0/default.jpg - but Cloudflare 403s scripted fetches; download via browser or use another museum for bytes.

7. Getty - European painting/photography/antiquities (SPARQL)

  • Base: https://data.getty.edu/museum/collection/ - no key. No keyword search; use SPARQL with ?obj crm:P138i_has_representation ?img which returns a ready IIIF image URL in the same query.
  • Dataset is CC0; per-image rights inconsistently populated - cross-check the object's public getty.edu page (a "Download" button flags true Open Content) before commercial use.

Key-gated + aggregator sources (know these too)

  • Smithsonian (needs free api.data.gov key; DEMO_KEY works at 30 req/hr): GET https://api.si.edu/openaccess/api/v1.0/search?q=<term> AND online_media_type:Images&api_key=KEY; CC0; check media[].usage.access=="CC0" per image. Extremely broad (SAAM, NPG portraits, Freer/Sackler Asian, Cooper Hewitt design).
  • Wikimedia Commons (keyless, best aggregator fallback): https://commons.wikimedia.org/w/api.php?action=query&generator=search&gsrsearch=<term>&gsrnamespace=6&prop=imageinfo&iiprop=url|extmetadata; license per file in extmetadata.LicenseShortName; raw bytes via Special:FilePath/{filename}.
  • Wellcome Collection (keyless): https://api.wellcomecollection.org/catalogue/v2/works?query=<term>; CC0/PD medical/scientific/historical imagery.
  • Internet Archive (keyless): https://archive.org/advancedsearch.php?q=<term>&fl[]=identifier&output=json; PD book illustrations, engravings, historical photos, ephemera.
  • Europeana (free key): https://api.europeana.eu/record/v2/search.json?wskey=<KEY>&query=<term>; 50M+ items across European institutions.
  • Harvard Art Museums (free key): https://api.harvardartmuseums.org/object?apikey=<KEY>&q=<term>.
  • Yale LUX (keyless, Linked Art like Getty): https://lux.collections.yale.edu/api/search/...; strong British art + rare books.
  • Paris Musees (keyless, explicit CC0): parismuseescollections.paris.fr / opendata.paris.fr; French painting/decorative arts.
  • NYPL Digital Collections (free key): https://api.repository.library.nyc/...; PD prints, maps, photos, illustrations.
  • DPLA (free key): https://api.dp.la/v2/items?q=<term>&api_key=<KEY>; federated US collections.

Licensing rules (apply before shipping any image)

  • True CC0 (no attribution required): Met, Cleveland, Art Institute of Chicago, Smithsonian, NGA (dataset-level; image gated by per-image openaccess=1).
  • Public Domain Mark / open-but-not-CC0 (free to use, credit requested not required): SMK, and the PD subset of Rijksmuseum.
  • Verify per-image, do NOT blanket-trust collection-level "open access": Getty, Rijksmuseum (CC BY items require attribution), NGA and Smithsonian per-image flags.
  • Rule: when the API exposes a rights/license field, filter on it in the query AND spot-check it on the chosen image. Never assume "the collection is open access" implies "this specific image is."
  • Good practice everywhere: a one-line credit ("Digital image courtesy of [Museum]") costs nothing and covers mixed-license collections. When masking/compositing per house style, keep the credit.

Relationship to other skills

  • Stacks with no-ai-slop and the house image style: real museum art is the anti-slop default for evocative imagery.
  • Complements editorial-illustrations (generative claim-driven diagrams) and dataviz (charts) - those own explanatory graphics; this owns photographic/artwork/mood imagery.
  • Feeds blog-publish, social-media-kit, weekly-ai-slide, deck and essay work at their image-sourcing step.

References (full per-museum recipes, verified)

references/_synthesis.md (cheat-sheet) + one file per museum (met.md, cleveland.md, smk.md, rijksmuseum.md, nga.md, artic.md, getty.md, smithsonian.md) with live-tested example URLs, field maps, and gotchas.

Bundled files

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

Frequently asked questions

What does the Museum Art AI skill do?

Source authentic, high-res PUBLIC-DOMAIN artwork from museum open-access APIs (Met, Cleveland, SMK, Rijksmuseum, NGA, Art Institute of Chicago, Getty, Smithsonian) instead of AI-generated or generic-stock imagery. The default move whenever a visual needs an aesthetic, credible image (blog heroes, decks, social cards, essay/spec figures). Verified keyless recipes + licensing rules inside.

Why use Museum Art on TypingMind?

Because you install it once and use it with any model. Museum Art 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 Museum Art in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/huytieu/COG-second-brain/tree/main/skills/museum-art. 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 Museum Art?

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 Museum Art?

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

Is the Museum Art AI skill free?

Yes. It is published on GitHub by huytieu 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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