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data-engineering
ML data engineering covering data pipelines, data quality, collection strategies, storage, and versioning for machine learning systems.
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devops data engineering AI Skills
Discover devops data engineering skills, compare source repositories and read the instructions for each workflow.
Categories: devops data engineering
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GitHub
common-workflows
Common patterns and workflows for Azure DevOps and database queries. Use to avoid inefficient searches and tangents.
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GitHub
feature-flag-create-or-remove
When creating or removing a new feature flag from the database
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GitHub
database-migration
Safe patterns for evolving database schemas in production with decision trees and troubleshooting guidance.
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GitHub
drizzle-orm
Drizzle ORM for TypeScript - type-safe SQL queries, schema definitions, migrations, and relations. Use when building database layers in Next.js or Node.js applications.
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GitHub
neon-postgres
Neon PostgreSQL serverless database - connection pooling, branching, serverless driver, and optimization. Use when deploying to Neon or building serverless applications.
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GitHub
golden-dataset-management
Backup, restore, and validate golden datasets for AI/ML systems - ensuring test data integrity and preventing catastrophic data loss
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GitHub
golden-dataset-validation
Validation rules, schema checks, duplicate detection, and coverage analysis for golden dataset integrity
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GitHub
database-schema-designer
Use this skill when designing database schemas for relational (SQL) or document (NoSQL) databases. Provides normalization guidelines, indexing strategies, migration patterns, and performance optimization techni...
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GitHub
pipeline-design
Design ETL/ELT pipeline architectures with proper patterns for reliability and scalability.
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GitHub
dbt-expert
dbt best practices for models, tests, documentation, and project organization.
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GitHub
airflow-workflows
Apache Airflow DAG design, operators, and scheduling best practices.
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GitHub
spark-basics
PySpark fundamentals for distributed data processing.
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GitHub
data-quality
Data quality testing with dbt tests, Great Expectations, and monitoring.
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GitHub
warehouse-optimization
Query optimization, partitioning, clustering, and warehouse tuning.
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GitHub
data-modeling
Dimensional modeling, normalization, and schema design for analytics.
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GitHub
memory-hygiene
Maintains memory cleanliness with deduplication, validation, and expiration
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GitHub
moai-baas-neon-ext
Enterprise Neon Serverless PostgreSQL Platform with AI-powered database architecture, Context7 integration, and intelligent branching orchestration for scalable modern applications
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GitHub
moai-baas-supabase-ext
Enterprise Supabase PostgreSQL Platform with AI-powered open-source BaaS architecture, Context7 integration, and intelligent PostgreSQL orchestration for scalable modern applications
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GitHub
moai-lang-sql
SQL best practices with pgTAP, sqlfluff 3.2, query optimization, and migration management.
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GitHub
moai-essentials-perf
AI-powered enterprise performance optimization orchestrator with Context7 integration, Scalene AI profiling, intelligent bottleneck detection, automated optimization strategies, and predictive performance tunin...
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GitHub
lumen-ai
Master AI-powered natural language data exploration with Lumen AI. Use this skill when building conversational data analysis interfaces, enabling natural language queries to databases, creating custom AI agents...
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GitHub
lumen-dashboards
Master declarative, no-code data dashboards with Lumen YAML specifications. Use this skill when building standard data exploration dashboards, connecting multiple data sources (files, databases, APIs), creating...
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GitHub
fastapi-postgres-repository
Implement PostgreSQL repository with bulk upsert, soft delete filtering, and fastapi-pagination/filter integration
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