Improve AI matching quality with a structured skill taxonomy
Cleaner skills data = better shortlists, faster submittals, and AI matching you can actually trust.
Unstructured skills in, junk shortlists out
AI matching can only be as good as the vocabulary you feed it.
See what you'll actually get
A hierarchy, a scoring model, and the governance rules that keep it clean.
Category → Family → Skill
- Finance
- Accounting
- AP · AR · GL · Reconciliation
- FP&A
- Forecasting · Modeling
Weighting + proficiency
Keep it from rotting
What you'll get
Everything to stand up a taxonomy your matching engine can use.
Taxonomy structure template
3-level hierarchy (Category → Skill Family → Skill) with 150+ pre-seeded skills across IT, healthcare, finance, industrial.
Scoring logic starter model
Weighting rules (must-have ×3, nice-to-have ×1), a 1–4 proficiency scale, and recency-decay guidance.
Governance checklist
Who can add skills, synonym mapping rules, and the quarterly cleanup routine that keeps it usable.
Get the Skill Taxonomy Starter Pack
Distilled from taxonomy work inside real staffing databases with 100k+ candidate records.
- ✓150+ pre-seeded skills, 4 verticals
- ✓Scoring model with worked example
- ✓Synonym map + governance checklist
- ✓Ships as an import-ready spreadsheet
“Explainability drives adoption. Recruiters trust a list they can interrogate.”
Get the Starter Pack
Free. Excel / Google Sheet + quick-start PDF.
Questions, answered
Pre-seeded for 4 verticals; the structure works for any.
Yes — it ships as a spreadsheet designed for import.
No — search and shortlist quality improve immediately, with or without AI.
Give your matching engine a foundation
Cleaner skills data means better shortlists and faster submittals — starting this week.