Dados e Análise
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cc-skill-clickhouse-io
Padrões de banco de dados ClickHouse, otimização de consultas, análise e melhores práticas de engenharia de dados para cargas de trabalho analíticas de alto desempenho.
hugging-face-paper-publisher
Publish and manage research papers on Hugging Face Hub. Supports creating paper pages, linking papers to models/datasets, claiming authorship, and generating professional markdown-based research articles.
sql-optimization-patterns
Transform slow database queries into lightning-fast operations through systematic optimization, proper indexing, and query plan analysis.
analytics-tracking
Design, audit, and improve analytics tracking systems that produce reliable, decision-ready data.
hugging-face-dataset-viewer
Query Hugging Face datasets through the Dataset Viewer API for splits, rows, search, filters, and parquet links.
prisma-expert
You are an expert in Prisma ORM with deep knowledge of schema design, migrations, query optimization, relations modeling, and database operations across PostgreSQL, MySQL, and SQLite.
azure-resource-manager-postgresql-dotnet
Azure PostgreSQL Flexible Server SDK for .NET. Database management for PostgreSQL Flexible Server deployments.
data-scientist
Expert data scientist for advanced analytics, machine learning, and statistical modeling. Handles complex data analysis, predictive modeling, and business intelligence.
azure-resource-manager-mysql-dotnet
Azure MySQL Flexible Server SDK for .NET. Database management for MySQL Flexible Server deployments.
hugging-face-dataset-viewer
Query Hugging Face datasets through the Dataset Viewer API for splits, rows, search, filters, and parquet links.
azure-resource-manager-mysql-dotnet
Azure MySQL Flexible Server SDK for .NET. Database management for MySQL Flexible Server deployments.
polars
Fast in-memory DataFrame library for datasets that fit in RAM. Use when pandas is too slow but data still fits in memory. Lazy evaluation, parallel execution, Apache Arrow backend. Best for 1-100GB datasets, ETL pipelines, faster pandas replacement. For larger-than-RAM data use dask or vaex.