datajunction-repo
datajunction-repo is a Data warehousing & modelling skill for AI agents, published by DataJunction in the dj repository on GitHub. Skillspace rates datajunction-repo F (52/100) and it passed the safety scan; the rating is based on static analysis only.
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
- Grade
- F
- Quality
- 52 / 100
- Safety
- Passed
- GitHub stars
- 155
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 71 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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