发现 devops data engineering 相关 Skills，比较来源仓库和用途，查看适合你工作流的技能说明。
Write secure, optimized database queries using parameterized statements, eager loading, proper indexing, and transaction management. Use this skill when writing database queries, implementing data fetching logi...
Creates bauplan data pipeline projects with SQL and Python models. Use when starting a new pipeline, defining DAG transformations, writing models, or setting up bauplan project structure from scratch.
Manage database schema changes with version control. Use when modifying DB schema, adding tables/columns, or setting up new projects. Covers Prisma, Drizzle, and migration best practices.
Create and manage database schema migrations with reversibility, zero-downtime deployment support, and proper version control. Use this skill when creating database migration files, modifying schema, adding or...
Generic Supabase best practices for Row Level Security, realtime subscriptions, storage, and edge functions. Framework-agnostic.
The MapReduce skill enables parallel task execution across multiple AI providers or agent instances, followed by intelligent consolidation of results. This produces higher-quality outputs by levera...
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.
Analyze and optimize SQL queries for better performance and efficiency.
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...
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...
PostgreSQL patterns for reviewing migrations and writing efficient queries. Use when reviewing Alembic migrations, optimizing queries, or debugging database issues.
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.
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...
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.
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...
Transform, manipulate, and analyze JSON data structures with advanced operations.
Generate database schema diagrams, ERDs, and documentation from database schemas.
Transform data into compelling narratives using visualization, context, and persuasive structure. Use when presenting analytics to stakeholders, creating data reports, or building executive presentations.
Interactive database query builder for generating optimized SQL and NoSQL queries.
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.
Database schema and migration workflow. Use when modifying database schemas in tools/atlas/ or SQLC queries in tools/sqlc/.
High-performance PostgreSQL patterns. Use when optimizing queries, designing for scale, or debugging performance issues.
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...
Parse, transform, and analyze CSV files with advanced data manipulation capabilities.
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库，同一仓库的多个技能可能共享相同数值；它反映仓库关注度，不代表单个技能的安装量或质量评分。