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Cross-cultural / cross-industry skill-equivalence (CN121503503A design-around)

Scores how EQUIVALENT a source skill descriptor is to one or more target-market skills — each free text or a precomputed dense EMBEDDING — by COSINE in a shared vector space, returning a continuous Bayesian CONFIDENCE INTERVAL (not a discrete strict/approx tier) plus a POST-HOC region/industry adjuster applied at match time; also ranks a target-market skill set against a source skill. Embedding-provider AGNOSTIC (precomputed embeddings or a deterministic in-repo feature-hashing mock, no API key). Deterministic, stateless, pure compute. IP-clean design-around of IN-FORCE CN121503503A: that patent reads equivalence off a labeled-tier culture KNOWLEDGE GRAPH with pre-built culture labels; this uses a DIFFERENT mechanism on three axes — a DENSE embedding representation (no labeled graph), a continuous Bayesian confidence interval (no discrete tiers), and runtime POST-HOC region adjusters (no pre-baked culture labels). Cross-cultural use case: US "stakeholder management" <-> JP "nemawashi". Complements (does not fork) job-similarity (job<->job) and Principia equivalences (instrument<->instrument).

Cluster
Platform
Type
algo
Status
Building
Used by
Not yet integrated into a consumer product

Maturity evidence

Functioning
core/skill-equivalence.ts (dense cosine -> bayesianConfidence Beta posterior + post-hoc regionFactor) + core/embedder.ts (pluggable Embedder port + deterministic feature-hashing mock, no API key) + REST (POST /api/spokes/skill-equivalence/equivalence + /match, service-key gated; GET /health) + MCP (skill-equivalence.equivalence/match/health) from one contract; 8/8 core tests (node --test) incl. confidence monotonic-in-cosine + tightens-with-concentration, post-hoc region multiplier, precomputed-embedding path, match ranking + topK.
Valuable
Routed from the patent-radar sweep (rank #8). No live consumer yet; default embedder is a deterministic mock (not a calibrated multilingual model), and IN-FORCE patent — pending legal courtesy-check on the non-infringement path before commercial use.
Understood
spoke README (claim-vs-design-around table on all 3 axes, US<->JP nemawashi example, mermaid skill text -> embeddings -> cosine -> Bayesian confidence -> region-adjusted match) + docs/SURFACE.md + CHANGELOG.
Integrated
REST + MCP from one declaration; registered in lib/mcp/register-tools.ts. No live consumer wiring yet; coordinate with job-similarity owner (adjacent, distinct unit).

How to use it

REST
/api/spokes/skill-equivalence/equivalence
MCP
skill-equivalence.equivalence
Data
src/spokes/skill-equivalence/core/skill-equivalence.ts

Other Platform capabilities

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Capability detail sourced from the People Analytics Toolbox capability feed (source of truth), snapshot retrieved 2026-07-23.