The International Mineralogical Association recognises around 5,600 mineral species, each one defined by a chemical formula, a crystal system, a hardness range, a luster, a streak colour, a specific gravity, and a type locality. Every species has the same shape of data. Building 5,600 hand-written encyclopedia pages is enormous, slow work; building them from the IMA species list as a sheet is a weekend of template work and a curation track for photographs.

SleekRank reads the species sheet as the schema. Columns for slug, name, formula, crystal_system, hardness, luster, streak, specific_gravity, color_range, type_locality, and image_url feed the base page at /mineral/{slug}/. Selector mappings fill each cell of the property table, list mappings render colour and locality lists, and a meta mapping wires the OG image.

Cluster pages at the bottom of every species page surface other minerals in the same chemical group or crystal system. Both are list mappings against the same sheet, returning six related minerals per page deterministically.

The International Mineralogical Association defines a mineral species by a set of physical and chemical properties that fit perfectly into structured columns. Every species has a chemical formula, a crystal system, a hardness, a luster, a streak, a specific gravity, and a type locality. These are not soft fields.

They are measured values with controlled vocabularies. That makes the corpus an ideal candidate for data-driven generation: the schema is already implicit in mineralogy, and the editorial work concentrates on which rows belong in the sheet (the IMA list answers that) and which photographs are licensed. Doing this by hand across 5,600 species is impossible.

Doing it from a sheet is a weekend of template work and an ongoing curation track for images and locality notes. The structured approach also pays back on cross-linking. Mineralogists browse by group: collectors of sulfides want to see other sulfides, collectors of cubic minerals want to see other cubic minerals.

Both clusters are list mappings against the same sheet, ordered deterministically, and they keep the internal link graph stable across cache refreshes. When a new species is published in Mineralogical Magazine, you add a row, run a cache refresh, and the species enters the corpus and the cluster pages on the same day.