Receber por email

Dados e Análise

5.357 skills encontradas

Alerta por categoria

Receba novas skills de Dados e Análise toda segunda

Você confirma o email no primeiro envio. Sem spam. Cancela com 1 clique.

dask

367

Distributed computing for larger-than-RAM pandas/NumPy workflows. Use when you need to scale existing pandas/NumPy code beyond memory or across clusters. Best for parallel file processing, distributed ML, integration with existing pandas code. For out-of-core analytics on single machine use vaex; for in-memory speed use polars.

Dados e Análise por aiskillstore

smc-chart-analysis

367

Smart Money Concepts (SMC) and ICT-style chart analysis skill. Analyzes any market with one command - fetches real data, runs multi-timeframe analysis, identifies trade setups with entry/stop/targets. Use when user asks to "analyze [SYMBOL]", wants SMC/ICT analysis, asks about liquidity sweeps, order blocks, fair value gaps, or market structure, or wants trade setup recommendations.

Dados e Análise #ai por aiskillstore

sql-expert

367

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, subqueries, and window functions, (2) Optimizing slow queries and analyzing execution plans, (3) Designing database schemas with proper normalization, (4) Creating indexes and improving query

Dados e Análise #sql por aiskillstore

xlsx

367

Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for: (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing data, (3) Modify existing spreadsheets while preserving formulas, (4) Data analysis and visualization i

Dados e Análise #xlsx por aiskillstore

database

367

Database development and operations workflow covering SQL, NoSQL, database design, migrations, optimization, and data engineering.

Dados e Análise #sql por aiskillstore

azure-cosmos-db-py

367

Build Azure Cosmos DB NoSQL services with Python/FastAPI following production-grade patterns. Use when implementing database client setup with dual auth (DefaultAzureCredential + emulator), service layer classes with CRUD operations, partition key strategies, parameterized queries, or TDD patterns for Cosmos. Triggers on phrases like "Cosmos DB", "NoSQL database", "document store", "add persistenc

Dados e Análise #api #python por aiskillstore

geo-database

367

Access NCBI GEO for gene expression/genomics data. Search/download microarray and RNA-seq datasets (GSE, GSM, GPL), retrieve SOFT/Matrix files, for transcriptomics and expression analysis.

Dados e Análise por aiskillstore

datacommons-client

367

Work with Data Commons, a platform providing programmatic access to public statistical data from global sources. Use this skill when working with demographic data, economic indicators, health statistics, environmental data, or any public datasets available through Data Commons. Applicable for querying population statistics, GDP figures, unemployment rates, disease prevalence, geographic entity res

Dados e Análise #ai por aiskillstore

azure-ai-projects-ts

367

Build AI applications using Azure AI Projects SDK for JavaScript (@azure/ai-projects). Use when working with Foundry project clients, agents, connections, deployments, datasets, indexes, evaluations, or getting OpenAI clients.

Dados e Análise #ai #deploy por aiskillstore

clickhouse-io

367

ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.

Dados e Análise por aiskillstore

fiftyone-dataset-inference

367

Create a FiftyOne dataset from a directory of media files (images, videos, point clouds), optionally import labels in common formats (COCO, YOLO, VOC), run model inference, and store predictions. Use when users want to load local files into FiftyOne, apply ML models for detection, classification, or segmentation, or build end-to-end inference pipelines.

Dados e Análise por aiskillstore

hypothesis-generation

367

Structured hypothesis formulation from observations. Use when you have experimental observations or data and need to formulate testable hypotheses with predictions, propose mechanisms, and design experiments to test them. Follows scientific method framework. For open-ended ideation use scientific-brainstorming; for automated LLM-driven hypothesis testing on datasets use hypogenic.

Dados e Análise #ai #llm por aiskillstore