Skill Data is an open platform connecting institutions, companies, and learners through a shared, framework-agnostic skills language. Institutions map their learning outcomes to skills the learner receives upon completion of course or programme; companies contribute job profiles linked to those same skills; learners build personal skill profiles by uploading CVs or credentials, allowing them to identify gaps, and receive personalised course recommendations. Running across all three layers is the Skill Finder — a semantic search tool that maps any input (courses, occupations) to skills across any loaded framework, acting as the connective tissue of the platform. All data is machine-readable and accessible via open API, enabling learning platforms, student information systems, and other tools to integrate directly. A human-in-the-loop AI principle is applied throughout: automated matching and extraction support every stage, but a human always confirms what is attributed — whether an institution mapping courses, a company inputting job profiles, or a learner building their profile. The Skill Finder is currently live as a standalone tool, while the Skill Profiler is being developed and validated through the EU-funded LCAMP project.