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The standards that ground skaills

skaills is built on open occupational and competency standards. We credit every source explicitly, mark every derived output, and never claim official status for our adaptations.

Currently integrated

Sources actively powering the platform today.

ESCO — European Skills, Competences, Qualifications and Occupations

European Commission · v1.2.1 (CSV bundle, en/es/fr/pt)

Mandatory acknowledgement

This service uses the ESCO classification of the European Commission.

License

Reused under Commission Decision 2011/833/EU on the reuse of Commission documents. Free to use including for commercial purposes, subject to acknowledgement and modification disclosure.

How skaills uses it

Occupation descriptors, skill and competence taxonomy, multilingual labels, and as the crosswalk layer between ISCO-08 and skill clusters surfaced in CV evaluation, job profiles, the Career Path Navigator, and the Skills Adjacency Map.

ISCO-08 — International Standard Classification of Occupations

International Labour Organization (ILO).

How skaills uses it

Baseline occupation taxonomy across the platform — profile sectors, role tagging, certificate metadata, and the public job board are all ISCO-08 grounded.

License

© International Labour Organization. Used with attribution.

Planned integrations

Sources scheduled for the 2026 Q3–Q4 external-standards sprint. Each entry will get the same attribution treatment as ESCO and ISCO once ingested.

O*NET

Planned 2026 Q3–Q4

US Department of Labor occupational database. Public domain / CC-BY for most files. Bridge to SOC, and the classification used by the Anthropic Labor Market Impacts research. Unlocks the Skills Adjacency Map.

SFIA

Planned 2026 Q3–Q4

Skills Framework for the Information Age. 7-level capability matrix for IT and digital skills. Reference-only use pending license confirmation.

DigComp 2.2

Planned 2026 Q3–Q4

EU digital competence framework for citizens. Will anchor the digital-readiness dimension of the AI-Readiness Assessment.

GDPval

Planned 2026 Q3–Q4

Benchmark for measuring real-world economic value of AI on professional tasks. Used to calibrate the Mechanical-Layer automation outlook in the Org Transformation Plan.

OSWorld

Planned 2026 Q3–Q4

Benchmark for AI agents performing real computer tasks. Reference dataset for the Manager AI Co-pilot capability boundaries.

Modifications and derived data

Per ESCO obligation #2 (and applied defensively to every source), we mark any modified, translated, or AI-derived output as such. Modifications skaills routinely makes:

  • Translation of source labels into the three platform languages when an upstream language file is not available.
  • AI-generated summaries, descriptors, or explanations that paraphrase or expand on the original source text.
  • Derived crosswalks between standards (e.g. ISCO ↔ ESCO ↔ O*NET) computed by skaills.
  • Recomputed adjacency scores, similarity matrices, or skill-cluster groupings.
  • Annotations layered on top of source taxonomy entries (sector tags, level mapping, internal notes).

About this data

This service uses the ESCO classification of the European Commission.

Content shown here has been modified or derived from the original ESCO data (translation, AI summary, computed crosswalk, etc.).

Reused under Commission Decision 2011/833/EU. Data sources & licensing

No warranty

The European Commission, the International Labour Organization, the US Department of Labor and every other upstream source disclaim accuracy, currency, and completeness of their datasets. skaills cannot and does not claim that its derived outputs are "official" versions of any source. Use of skaills outputs is at your own risk and should be reviewed against the authoritative source before any legally binding decision.

Questions about data sources or licensing?

For licensing questions, attribution requests, or to report a misattribution: