standardize-naming-conventions
standardize-naming-conventions is a Data warehousing & modelling skill for AI agents, published by data-goblin in the power-bi-agentic-development repository on GitHub. Skillspace rates standardize-naming-conventions B (81/100) and it passed the safety scan; the rating is based on static analysis only.
Interactive naming convention standardization for TMDL-based Power BI semantic models. Automatically invoke when the user asks to "standardize naming conventions", "fix naming conventions", "clean up model names", "apply naming standards", "audit naming", "make names human readable", "rename fields", "fix abbreviations in model", or mentions renaming measures, columns, or tables for consistency across a model.
- Grade
- B
- Quality
- 81 / 100
- Safety
- Passed
- GitHub stars
- 791
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 100 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- GPL-3.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
- Scope
- Vendor-specific: built around one product. Naming standards for Power BI TMDL semantic models
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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