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data-engineering
ML data engineering covering data pipelines, data quality, collection strategies, storage, and versioning for machine learning systems.
Skills IA devops data engineering
Découvrez les skills devops data engineering, comparez leurs dépôts et consultez leurs instructions.
Catégories: devops data engineering
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Explorer
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common-workflows
Common patterns and workflows for Azure DevOps and database queries. Use to avoid inefficient searches and tangents.
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feature-flag-create-or-remove
When creating or removing a new feature flag from the database
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database-migration
Safe patterns for evolving database schemas in production with decision trees and troubleshooting guidance.
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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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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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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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golden-dataset-validation
Validation rules, schema checks, duplicate detection, and coverage analysis for golden dataset integrity
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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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pipeline-design
Design ETL/ELT pipeline architectures with proper patterns for reliability and scalability.
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dbt-expert
dbt best practices for models, tests, documentation, and project organization.
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airflow-workflows
Apache Airflow DAG design, operators, and scheduling best practices.
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spark-basics
PySpark fundamentals for distributed data processing.
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data-quality
Data quality testing with dbt tests, Great Expectations, and monitoring.
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warehouse-optimization
Query optimization, partitioning, clustering, and warehouse tuning.
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data-modeling
Dimensional modeling, normalization, and schema design for analytics.
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memory-hygiene
Maintains memory cleanliness with deduplication, validation, and expiration
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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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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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moai-lang-sql
SQL best practices with pgTAP, sqlfluff 3.2, query optimization, and migration management.
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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...
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...
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...
GitHub
fastapi-postgres-repository
Implement PostgreSQL repository with bulk upsert, soft delete filtering, and fastapi-pagination/filter integration
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.