Skillsji

Skillsji is a framework and platform concept intended to standardize the representation of professional skills across industries. It aims to help individuals build structured skill profiles, enable organizations to assess competencies, and connect skills to learning resources and verifiable credentials.

At its core, skillsji proposes a skill ontology consisting of skill names, levels of mastery, prerequisites, relationships to other skills, and evidence of proficiency. Profiles are assembled from user input supplemented by verifiable credentials issued by educational institutions or credential providers, and can be extended with endorsements from trusted peers. The data model is designed for machine readability and interoperability, using open standards and a stable API to integrate with learning management systems, applicant tracking systems, and credential platforms.

Key features include a taxonomy for categorizing skills, a ledger of learning activities, and a trust layer that supports credential verification and reputation signals. The platform emphasizes privacy controls, giving users control over what data is shared and with whom.

Governance is envisioned as community-driven and open-source, with contribution guidelines and a permissive license. It is intended to support career planning, workforce development, and HR decision-making by providing a consistent data surface for skills data. As a concept, skillsji remains in early-stage development with community experiments and public demonstrations.