Découvrez les skills tools data engineering, comparez leurs dépôts et consultez leurs instructions.
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
Build robust processes for data cleaning, missing value imputation, outlier handling, and data transformation for data preprocessing, data quality, and data pipeline automation
Implement event sourcing and CQRS patterns using event stores, aggregates, and projections. Use when building audit trails, temporal queries, or systems requiring full history.
Analyze and optimize SQL queries for performance. Use when improving slow queries, reducing execution time, or analyzing query performance in PostgreSQL and MySQL.
Implement efficient pagination strategies for large datasets using offset/limit, cursor-based, and keyset pagination. Use when returning collections, managing large result sets, or optimizing query performance.
Deploy and manage relational databases using RDS with Multi-AZ, read replicas, backups, and encryption. Use for PostgreSQL, MySQL, MariaDB, and Oracle.
Design NoSQL database schemas for MongoDB and DynamoDB. Use when modeling document structures, designing collections, or planning NoSQL data architectures.
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.