nw-der-review-criteria
CommunityStandardize data engineering review scoring.
Data & Analytics#evaluation#governance#standards#scoring#quality-assurance#data-engineering#review-criteria
AuthorStudentCristian
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill provides a standardized rubric for evaluating data engineering artifacts, enabling consistent scoring and defensible judgments across reviews.
Core Features & Use Cases
- Evaluates seven evaluation dimensions including research citation quality, security coverage, trade-off analysis, technical accuracy, completeness, bias detection, and implementability.
- Provides a clear, numeric scoring framework to support traceability and auditability of review decisions.
- Delivers a repeatable review structure that can be applied across projects, teams, and artifact types (pipelines, models, governance docs).
Quick Start
Review a data engineering artifact against the seven evaluation criteria to produce a structured quality score.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: nw-der-review-criteria Download link: https://github.com/StudentCristian/nWave-github/archive/main.zip#nw-der-review-criteria Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
Agent Skills Search Helper
Install a tiny helper to your Agent, search and equip skill from 471,000+ vetted skills library on demand.