Explore skills

5,086 skills found

Category alert

Get new Dados e Análise skills every Monday

hugging-face-cli

39.2k

Use the Hugging Face Hub CLI (`hf`) to download, upload, and manage models, datasets, and Spaces.

Dados e Análise#github#gitby sickn33

hugging-face-paper-publisher

39.2k

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.

Dados e Análise#github#gitby sickn33

hugging-face-dataset-viewer

39.2k

Query Hugging Face datasets through the Dataset Viewer API for splits, rows, search, filters, and parquet links.

Dados e Análise#github#gitby sickn33

hugging-face-datasets

39.2k

Create and manage datasets on Hugging Face Hub. Supports initializing repos, defining configs/system prompts, streaming row updates, and SQL-based dataset querying/transformation. Designed to work alongside HF MCP server for comprehensive dataset workflows.

Dados e Análise#sql#githubby sickn33

junta-leiloeiros

39.2k

Coleta e consulta dados de leiloeiros oficiais de todas as 27 Juntas Comerciais do Brasil. Scraper multi-UF, banco SQLite, API FastAPI e exportacao CSV/JSON.

Dados e Análise#sql#githubby sickn33

monte-carlo-prevent

39.2k

Surfaces Monte Carlo data observability context (table health, alerts, lineage, blast radius) before SQL/dbt edits.

Dados e Análise#sql#githubby sickn33

nosql-expert

39.2k

Expert guidance for distributed NoSQL databases (Cassandra, DynamoDB). Focuses on mental models, query-first modeling, single-table design, and avoiding hot partitions in high-scale systems.

Dados e Análise#sql#githubby sickn33

plotly

39.2k

Interactive visualization library. Use when you need hover info, zoom, pan, or web-embeddable charts. Best for dashboards, exploratory analysis, and presentations. For static publication figures use matplotlib or scientific-visualization.

Dados e Análise#github#gitby sickn33

polars

39.2k

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.

Dados e Análise#github#gitby sickn33

postgresql-optimization

39.2k

PostgreSQL database optimization workflow for query tuning, indexing strategies, performance analysis, and production database management.

Dados e Análise#sql#githubby sickn33

postgresql

39.2k

Design a PostgreSQL-specific schema. Covers best-practices, data types, indexing, constraints, performance patterns, and advanced features

Dados e Análise#sql#githubby sickn33

prisma-expert

39.2k

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.

Dados e Análise#sql#githubby sickn33