Skills Taxonomy

A skills taxonomy is a structured vocabulary of skills and their relationships — which skills are synonyms, which imply which, and how they group into competencies. Public standards include ESCO (EU) and O*NET (US).

In one paragraph

Raw resumes name the same capability a dozen ways — “JS”, “JavaScript”, “ECMAScript”, “front-end scripting”. A taxonomy collapses the variants into one node with known relationships, which is what makes skills searchable, comparable and matchable at scale. Parsers use taxonomies to normalize extracted skills; matching engines use them to recognize that a Django developer satisfies a Python requirement without either word matching.

Why it matters to builders

Per-role skill extraction — the positions[].skills arrays in the parsed schema — plus taxonomy normalization turns “find me React people with 5+ years” from a keyword grep into a reliable query. SharpAPI's HR suite also exposes a related-skills endpoint for expanding queries taxonomy-style.

Go deeper

Semantic vs keyword matching · how taxonomy-aware scoring shows up in match dimensions.