No. SleekRank renders static pages from data. A reading widget — pull three cards, show meanings — would be separate JavaScript on the page that calls the same dataset for card details. SleekRank handles publishing the per-card reference; the reading interaction is a separate frontend layer that can read the same JSON file you point SleekRank at.

Yes. Define one page group per deck — /tarot/rider-waite/{slug}/, /tarot/marseille/{slug}/, /tarot/thoth/{slug}/ — each pointing at its own dataset. The base WordPress page can be shared if the layout's the same, or deck-specific if you want different visual treatments per tradition. Suit naming and meaning style differ across decks; separate datasets keep them clean.

Store them as separate columns in the sheet (upright_meaning, reversed_meaning) and use selector mappings to inject each into a section of the base page. A heading with a divider between them keeps the visual structure consistent across all 78 cards. Some decks don't use reversals — leave the column blank and use a conditional in the template.

Reference image URLs in the data row (image_url column) and use selector mappings to set the img src attribute. SleekRank doesn't host images. Most sites store the deck art in the WordPress media library or a CDN and reference URLs from the sheet. For OG cards, pair with SleekPixel to render dynamic per-card images using the card name and suit.

Yes. Add a love_reading column in the sheet, add a tag or selector mapping pointing to a target element on the base page, flush the cache, and every card page picks up the new section. Conditional rendering means cards without love-reading content yet don't show an empty heading. Same pattern for career, shadow, daily-card, etc.

Yes. SleekRank registers every generated URL with the sitemap and noindexes the base template page so only per-card URLs get crawled. All 78 cards appear in the sitemap once the dataset is loaded — important because tarot queries often hit specific cards ("three of cups meaning") rather than deck-level pages.

Yes. Add a related_cards array column with slugs of related cards (Major Arcana journey progression, suit sequences, elemental affinities) and use a list mapping to render them as linked chips. Slug-based linking means the relationships stay intact even if display names change, and editors only edit slugs once on each side.

Add a journey_position numeric column (0 through 21) and use it in the base template to render previous-and-next navigation. List the full journey on a separate aggregate page that aggregates Major Arcana cards by journey_position from the same source, alongside the per-card URLs. SleekRank can power both views from one dataset.