WCAG AA accessibility checklist and verification protocols for Somali dialect classifier dashboard. Covers keyboard navigation, screen readers, color contrast, ARIA labels, and accessibility testing procedures.

Reusable React/JavaScript patterns for Somali dialect classifier dashboard. Covers Chart.js integration, data card components, filter patterns, responsive layouts, and dashboard-specific UI patterns. Auto-invokes when building dashboard components, charts, data visualizations, or dashboard UI.

Data quality validation rules, quality metrics, and acceptance criteria for Somali dialect classifier datasets. Covers duplicate detection, language filtering, quality scoring, and validation protocols. Auto-invokes when discussing data quality, validation, cleaning, or quality guardrails for this project.

Low-resource NLP techniques specific to Somali language processing. Covers data scarcity strategies, cross-lingual transfer, morphological analysis, data augmentation for Somali, semi-supervised learning, and evaluation considerations for low-resource contexts. Auto-invokes when working on Somali NLP, low-resource language challenges, dialect classification, or language-specific modeling decisions.

MLOps best practices for model versioning, experiment tracking, deployment, monitoring, and retraining workflows. Covers reproducibility, CI/CD for ML, model registry, and production ML system design.

Model evaluation metrics, testing protocols, and performance assessment for Somali dialect classification. Covers accuracy, F1-score, confusion matrix analysis, per-dialect performance, and evaluation best practices for multi-class classification tasks.