Dados e Análise

Oracle APEX 24.2 foca no desenvolvimento e em um dicionário de metadados, ativável em Dynamic Actions, Interactive Report, Interactive Grid, Classic Report, Page Process, AJAX Callback, Validations, Authorization Schemes, paginação, LOV, APEX_APPLICATION_*, APEX_APPLICATION_PAGE_*, APEX_WORKSPACE_*, APEX_APPL_*, Workflows, Tasks, configurações de IA, ACL, JSON Sources e APEX_ACTIVITY_LOG.

Database audit for Drizzle ORM + PostgreSQL with state persistence. Use when: "db-audit", "database audit", "drizzle check", "db check", "schema audit", "migration check", "postgresql audit".

Esta skill aborda o modelo de segurança e permissões do Fabric, detalhando suas três camadas: funções de workspace (Admin, Member, Contributor, Viewer), permissões em nível de item (Read, ReadData, ReadAll) e SQL GRANT/DENY/REVOKE. Também explica como as funções Admin, Member e Contributor podem ignorar RLS/CLS/DDM.

Query NCBI Gene via E-utilities/Datasets API. Search by symbol/ID, retrieve gene info (RefSeqs, GO, locations, phenotypes), batch lookups, for gene annotation and functional analysis.

Use when the user asks to write SQL queries, optimize database performance, generate migrations, explore database schemas, or work with ORMs like Prisma, Drizzle, TypeORM, or SQLAlchemy.

Use esta skill quando o usuário fornecer um conjunto de dados (CSV, Excel, JSON, SQL ou texto bruto) e solicitar análise, insights, um relatório, um dashboard ou qualquer visualização de dados.

140+ scientific skills for data analysis, bioinformatics, chemistry, physics, and more. Includes tools for databases (PubMed, UniProt, ChEMBL), visualization (matplotlib, plotly, seaborn), ML (scikit-learn, PyTorch), and document generation.

Multiagent AI system for scientific research assistance that automates research workflows from data analysis to publication. This skill should be used when generating research ideas from datasets, developing research methodologies, executing computational experiments, performing literature searches, or generating publication-ready papers in LaTeX format. Supports end-to-end research pipelines with

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.

PyTorch-native graph neural networks for molecules and proteins. Use when building custom GNN architectures for drug discovery, protein modeling, or knowledge graph reasoning. Best for custom model development, protein property prediction, retrosynthesis. For pre-trained models and diverse featurizers use deepchem; for benchmark datasets use pytdc.

Gere explicações HTML densas e visualmente focadas com uma estética escura característica, onde os diagramas conduzem o design e a prosa serve apenas como legendas. Cada seção apresenta visualizações SVG inline personalizadas, como DAGs, grades e linhas do tempo, tudo em um tema escuro com detalhes em menta, violeta, âmbar, ciano e coral.

Export Twitter/X data to CSV for analysis using Xpoz. Search by keywords, author, date range, and download complete datasets (up to 500K rows). Use when asked to "export tweets", "download Twitter data", "get tweets as CSV", "Twitter dataset", or "bulk tweet download".