A continuously updated IT skills taxonomy — readable by recruiters, deep enough for engineers. Every entry grounded in verified sources, never keyword-matched.
Need to assess a candidate? Run the Candidate Package Analyzer against the full taxonomy.
The Recberry Skills Taxonomy is a living knowledge engine of IT skills and technologies built by Recberry, a principal-level talent acquisition firm. It tracks industry demand, historical context, proficiency markers, and how skills relate to each other. Every entry is grounded in verified sources — not flat keyword lists or ATS dumps.
A static list gives you names; the taxonomy gives you context. Each skill card includes demand trends, recruiter-facing notes, proficiency ladders with behavioural markers, prerequisite chains, and related technologies. It also understands skill packages and combinations, so it can flag incoherent CV claims instead of accepting every keyword at face value.
It is built primarily for technical recruiters and talent acquisition teams who need to assess candidate depth without becoming engineers themselves. Hiring managers and engineers use it to cross-check role requirements and skill claims. The Candidate Package Analyzer at /analyse maps a full profile against the taxonomy for grounded fit assessment.
Yes. The skill catalog at taxonomy.recberry.com is public with no account required. You can browse every skill card, read demand notes, and run the Candidate Package Analyzer without a paywall. Recberry built it as hiring infrastructure — not a gated data product.
Built by Barbora Jenšík at Recberry. Seed data attributed to the Tanova skills taxonomy (CC BY 4.0). Try the Candidate Package Analyzer to map a profile against the full catalog.
Recberry Skills Taxonomy — a living IT skills knowledge engine. Every entry grounded in verified sources, never keyword-matched.
