Datajunction Semantic Model
| Activate this skill for DataJunction (DJ) semantic modeling decisions — choosing the right node shape (fact, dimension, transform, metric, cube), turning a draft SQL query into well-designed nodes, and the cross-cutting conventions (ownership, naming, namespace organization). Format-agnostic modeling guidance. Keywords: - semantic modeling - decompose query, model query, query to nodes - how should I model this metric, what shape should this node be - design a cube, what belongs in this cube - ratio metric, derived metric, base metric - composable metrics - metric query constraints - node ownership, metric ownership - metric naming, namespace organization - grain, fact vs dimension. …
Works with: Claude Code (native) · Cursor, Codex CLI (manual)
native: this artifact type is that client's own format
Category: AI & Agents — see all ranked ›
Install (Claude Code):
cp -r datajunction-semantic-model ~/.claude/skills/- Adoption: 1 repos
- Upkeep: 97.0
- Freshness: 93.0
- Evidence coverage: 84% of the inputs this score can use — the rest are unknown, and the score is discounted for it
- Health: active
- Contributors: 26
- License: MIT
Security audit
Not scanned yet. We audit npm-published capabilities for known advisories, install-time scripts and permission surface; this one has no npm package we can resolve, or has not reached the queue.
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Measured 2026-09-12 · scorer s5 · how · something wrong here?