Semantic Substrate

Inquire

The attribution substrate for skills, competencies, and agent capabilities.

Where credit, provenance, and accountability meet the skill layer — a substrate coordinate for tracking who or what conferred, verified, or exercised a capability.

Coordinated sets this position belongs to — the coverage it extends. Counts are the live cluster size in the graph.

Also appears in

Architectural context

Attribution · Cross-Vertical · 2 compound moats. Architectural surface: Attribution.

Layer position: Substrate (L1)

AttributionSkill

Why this is canonical

As AI agents acquire, demonstrate, and delegate skills, the question of attribution — which model produced this output, which training data conferred this capability, which human certified this credential — becomes a foundational infrastructure problem. 'Skill attribution' names that problem precisely on the .ai TLD.

Where it fits

A few directions this coordinate opens —

Human workforce / credentialing
A platform that attributes skill acquisition to specific learning experiences, certifications, or employers — creating verifiable, portable competency records.
HR-tech, edtech, professional-credentialing bodies
AI agent capability provenance
Tracking which training data, fine-tuning, or tool configuration gave an agent a specific capability — a substrate requirement for AI audit and safety.
AI-safety platforms, LLM infrastructure builders, enterprise AI governance

Illustrative, not exhaustive — held as a transferable canonical position, open to the buyer's own use.