Découvrez les skills devops data engineering, comparez leurs dépôts et consultez leurs instructions.
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).
Chain agent outputs as inputs in sequential or parallel pipelines for data flow orchestration
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...
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...
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.
Performance optimization guidelines for Splitrail. Use when optimizing parsing, reducing memory usage, or improving throughput.
Build data visualization and analytics dashboards. Use when creating charts, KPI displays, metrics dashboards, or data visualization components. Triggers on analytics, dashboard, charts, metrics, KPI, data visu...
Amazon DynamoDB patterns using AWS SDK for Java 2.x. Use when creating, querying, scanning, or performing CRUD operations on DynamoDB tables, working with indexes, batch operations, transactions, or integrating...
Orchestrates parallel API instances, delegated sub-tasks, and multi-agent workflows with streaming and tool-enabled delegation patterns. Use for parallel analysis, multi-perspective reviews, or complex task dec...
Exploratory data analysis using ydata-profiling. Use when users upload .csv/.xlsx/.json/.parquet files or request "explore data", "analyze dataset", "EDA", "profile data". Generates interactive HTML or JSON rep...
Use Neon serverless Postgres with branching, connection pooling, and instant scalability for modern applications with Prisma or Drizzle ORM integration. Use when setting up serverless Postgres databases, implem...
Process error logs from database - fetch new errors, analyze, fix, and mark resolved. Automates bug fixing workflow.
Robust deployment patterns for Elastic Beanstalk with GitHub Actions, Pulumi, and edge case handling
Operating model for defining, enforcing, and auditing BI data contracts.
Use when interpreting company-level enrichment data to segment accounts, spot buying triggers, and tailor outreach.
Tagging schema for classifying community signals by persona, journey, and business impact.
Use to run structured opportunity inspections that align pipeline data with buyer reality.
Use to define schemas, topic tags, and lineage metadata for enriched signals.
Use to assemble rate tables, accelerator logic, and plan governance templates.
Migrates mock data from Drizzle ORM schemas to C# MockData classes
This skill should be used when the user wants to add a database (Postgres, Redis, MySQL, MongoDB), says "add postgres", "add redis", "add database", "connect to database", or "wire up the database". For other t...
Analyze CSV and tabular data, create summaries, and generate insights
myfy DataModule for database access with async SQLAlchemy. Use when working with DataModule, AsyncSession, database connections, connection pooling, migrations, or SQLAlchemy models.
Query Studio deployment PostgreSQL databases for transaction debugging and analytics
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.