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Skills IA tools data engineering

Découvrez les skills tools data engineering, comparez leurs dépôts et consultez leurs instructions.

Catégories: tools data engineering

337–360 sur 1,853

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Explorer

GitHub

projection-patterns

aiskillstore

Build read models and projections from event streams. Use when implementing CQRS read sides, building materialized views, or optimizing query performance in event-sourced systems.

GitHub

dbt-transformation-patterns

aiskillstore

Master dbt (data build tool) for analytics engineering with model organization, testing, documentation, and incremental strategies. Use when building data transformations, creating data models, or implementing...

GitHub

database-schema-designer

aiskillstore

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...

GitHub

postgres-patterns

aiskillstore

PostgreSQL patterns for reviewing migrations and writing efficient queries. Use when reviewing Alembic migrations, optimizing queries, or debugging database issues.

GitHub

data-quality-frameworks

aiskillstore

Implement data quality validation with Great Expectations, dbt tests, and data contracts. Use when building data quality pipelines, implementing validation rules, or establishing data contracts.

GitHub

understanding-db-schema

aiskillstore

Deep expertise in Logseq's Datascript database schema. Auto-invokes when users ask about Logseq DB schema, Datascript attributes, built-in classes, property types, entity relationships, schema validation, or th...

GitHub

bigquery

aiskillstore

Comprehensive guide for using BigQuery CLI (bq) to query and inspect tables in Monzo's BigQuery projects, with emphasis on data sensitivity and INFORMATION_SCHEMA queries.

GitHub

prisma-v7

aiskillstore

Expert guidance for Prisma ORM v7 (7.0+). Use when working with Prisma schema files, migrations, Prisma Client queries, database setup, or when the user mentions Prisma, schema.prisma, @prisma/client, database...

GitHub

data-storytelling

aiskillstore

Transform data into compelling narratives using visualization, context, and persuasive structure. Use when presenting analytics to stakeholders, creating data reports, or building executive presentations.

GitHub

schema-alignment

aiskillstore

Detect and report drift between database schema and code data models. Works with SQLAlchemy, Django ORM, Prisma, TypeORM, and other ORMs. Generic across any project.

GitHub

db-migration

hiromaily

Database schema and migration workflow. Use when modifying database schemas in tools/atlas/ or SQLC queries in tools/sqlc/.

GitHub

postgres-performance

aiskillstore

High-performance PostgreSQL patterns. Use when optimizing queries, designing for scale, or debugging performance issues.

GitHub

drizzle-orm-patterns

aiskillstore

This skill provides comprehensive Drizzle ORM patterns for PostgreSQL with Vercel Edge Runtime support. Drizzle is Quetrex's chosen ORM because it's edge-first, type-safe, and supports all deployme...

GitHub

data-orchestrator

aiskillstore

Coordinates data pipeline tasks (ETL, analytics, feature engineering). Use when implementing data ingestion, transformations, quality checks, or analytics. Applies data-quality-standard.md (95% minimum).

GitHub

sql-expert

aiskillstore

Expert SQL query writing, optimization, and database schema design with support for PostgreSQL, MySQL, SQLite, and SQL Server. Use when working with databases for: (1) Writing complex SQL queries with joins, su...

GitHub

building-with-kafka-strimzi

panaversity

Use when building event-driven systems with Apache Kafka on Kubernetes. Triggers include EDA patterns, Kafka producers/consumers, Strimzi operator deployment, Schema Registry, transactions, exactly-once semanti...

GitHub

oracle

jMerta

Use the @steipete/oracle CLI to bundle a prompt plus the right files and get a second-model review (API or browser) for debugging, refactors, design checks, or cross-validation.

GitHub

performance

Piebald-AI

Performance optimization guidelines for Splitrail. Use when optimizing parsing, reducing memory usage, or improving throughput.

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.

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