AGENT SKILLS ATLASDatajunction 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; for YAML schemas and the repo-backed authoring flow, invoke datajunction-repo; for direct API examples, invoke datajunction-api. For DJ concepts (node types, dim links), invoke datajunction. For querying existing metrics, invoke datajunction-query. Keywords: - semantic modeling - decompose query, model query, query to nodes - create metric, create dimension, create node, create cube, build cube - ratio metric, derived metric, base metric - composable metrics - metric query constraints - node ownership, metric ownership - metric naming, namespace organization - grain, fact vs dimension - dimension link, not JOIN
Skill stats
Skills1CategoryData & analyticsStars0
About this skill
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; for YAML schemas and the repo-backed authoring flow, invoke datajunction-repo; for direct API examples, invoke datajunction-api. For DJ concepts (node types, dim links), invoke datajunction. For querying existing metrics, invoke datajunction-query. Keywords: - semantic modeling - decompose query, model query, query to nodes - create metric, create dimension, create node, create cube, build cube - ratio metric, derived metric, base metric - composable metrics - metric query constraints - node ownership, metric ownership - metric naming, namespace organization - grain, fact vs dimension - dimension link, not JOIN
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Original name
datajunction-semantic-modelOriginal description
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; for YAML schemas and the repo-backed authoring flow, invoke `datajunction-repo`; for direct API examples, invoke `datajunction-api`. For DJ concepts (node types, dim links), invoke `datajunction`. For querying existing metrics, invoke `datajunction-query`. Keywords: - semantic modeling - decompose query, model query, query to nodes - create metric, create dimension, create node, create cube, build cube - ratio metric, derived metric, base metric - composable metrics - metric query constraints - node ownership, metric ownership - metric naming, namespace organization - grain, fact vs dimension - dimension link, not JOIN
About this listing
- Category
- Data & analytics
- Reported license
- MIT
- Listing language (estimated)
- English
- Review status
- Not individually reviewed
- Agent compatibility
- Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.