Skip to content
cccskills
FreePublished on GitHub

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.

The English summary is being prepared. Showing the original description.

Works withCloudflare
See how to install

Files included (10)

  • SKILL.md10.2 KB
  • references/_synthesis.md9.2 KB
  • references/artic.md6.2 KB
  • references/cleveland.md5.5 KB
  • references/getty.md9.9 KB
  • references/met.md6.2 KB
  • references/nga.md8.1 KB
  • references/rijksmuseum.md7.7 KB
  • references/smithsonian.md7.4 KB
  • references/smk.md7.5 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

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.

Reviews

No reviews yet. Tell others what you thought.

Comments

No login needed. Share how it worked for you, ask a question, or note where it did not run.

No comments yet. Be the first to write one.

Comments are published right away. Do not include personal information such as email addresses or phone numbers. Up to 2 URLs.

0 / 1,000 characters

This form is protected by reCAPTCHA, and the Google Privacy Policy and Terms of Service apply.

More skills from this repository

Deep strategic research engine — decomposes questions into parallel research threads, spawns multiple agents, and synthesizes into actionable strategic analysis

The English summary is being prepared. Showing the original description.

huytieu/COG-second-brain1.3KUpdated Oct 2, 2026

Quick capture of raw thoughts with intelligent domain classification and competitive intelligence extraction

The English summary is being prepared. Showing the original description.

huytieu/COG-second-brain1.3KUpdated Oct 2, 2026

Run one task through the V-model verification loop: CP-2 plan → CP-3 build → CP-3v component verify → CP-4 integration verify (full lane) → CP-5 acceptance. The worker never grades its own homework; evidence rows trace back to AC-n. Opt-in: invoke with /closed-loop or by asking for the closed loop, proper verification, or an evidence trail. Ordinary work does not run this.

The English summary is being prepared. Showing the original description.

huytieu/COG-second-brain1.3KUpdated Oct 2, 2026

Deep-dive 7-day analysis across all data sources for weekly reviews, board prep, and strategic planning

The English summary is being prepared. Showing the original description.

huytieu/COG-second-brain1.3KUpdated Oct 2, 2026

Autonomous content pipeline - scout announcements in your field, triage by trend momentum and personal angle, produce posts/blogs/videos in your voice with ledger-based dedup, hard volume caps, and screenshot-verified publishing

The English summary is being prepared. Showing the original description.

huytieu/COG-second-brain1.3KUpdated Oct 2, 2026

Create user stories with duplicate checking across any project tracker (Linear, GitHub Issues, Jira)

The English summary is being prepared. Showing the original description.

huytieu/COG-second-brain1.3KUpdated Oct 2, 2026

See all skills by huytieu

Report a problem with this skill