Datajunction Repo | Agent Skills Atlas

About this skill

Activate this skill when authoring DataJunction (DJ) nodes via YAML files in a git repository — the repo-backed workflow. Covers YAML schemas per node type, branch-based development, temporal partitions on cubes, and the full PR-driven deployment flow. For modeling decisions (how to structure metrics, decomposition workflow), invoke datajunction-semantic-model. For direct API authoring, invoke datajunction-api. For concepts, invoke datajunction. Keywords: - YAML nodes, YAML definitions - repo-backed namespace, repo-backed workflow - git workflow, branch development, feature branch - cube YAML, metric YAML, dimension YAML, transform YAML - create metric, create dimension, create cube, build cube - temporal partition, partition pushdown - pre-commit, push.sh

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0 potential findings · Scanned 11/4/2026 · Scanner 0.2.1

Content SHA-256: d43474858dcbeb23de1da72046a36c546225050e81c7028767f6643dd76cdf8b

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Original listing metadata

Original name

datajunction-repo

Original description

Activate this skill when authoring DataJunction (DJ) nodes via YAML files in a git repository — the repo-backed workflow. Covers YAML schemas per node type, branch-based development, temporal partitions on cubes, and the full PR-driven deployment flow. For modeling decisions (how to structure metrics, decomposition workflow), invoke `datajunction-semantic-model`. For direct API authoring, invoke `datajunction-api`. For concepts, invoke `datajunction`. Keywords: - YAML nodes, YAML definitions - repo-backed namespace, repo-backed workflow - git workflow, branch development, feature branch - cube YAML, metric YAML, dimension YAML, transform YAML - create metric, create dimension, create cube, build cube - temporal partition, partition pushdown - pre-commit, push.sh

About this listing

Category: Developer tools
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.