Dados e Análise

Explains machine learning predictions on omics data using SHAP values and LIME for feature attribution. Identifies which genes or features drive classifier decisions. Use when interpreting biomarker classifiers or understanding model predictions.

Configura, otimiza e migra PostgreSQL, MongoDB, MySQL/MariaDB e MSSQL, com gatilhos como 'database', 'postgres', 'mysql', 'mongodb', 'schema', 'migration', 'pgbouncer' e 'EXPLAIN'. Não é para APIs HTTP (use backend-api).

Use this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .csv, or .tsv file (e.g., adding columns, computing formulas, formatting, charting, cleaning messy data); create a new spreadsheet from scratch or from other data sources; or convert between tabular file formats. Trigger especial

Os Serviços de Armazenamento do Azure oferecem armazenamento de objetos, compartilhamentos de arquivos SMB, mensagens assíncronas, chave-valor NoSQL e recursos de análise de big data. Incluem Blob, Arquivo, Fila, Tabela e Data Lake Storage, com camadas de acesso e gerenciamento de ciclo de vida.

Transform, clean, reshape, and preprocess data using pandas and numpy. Works with ANY LLM provider (GPT, Gemini, Claude, etc.).

Visualize differential expression results using DESeq2/edgeR built-in functions. Covers plotMA, plotDispEsts, plotCounts, plotBCV, sample distance heatmaps, and p-value histograms. Use when visualizing differential expression results.

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.

T-SQL, stored procedures, and MS SQL Server DBA practices. Use when writing SQL queries, designing schemas, tuning SQL Server performance, managing backups, configuring security, or using SQL Server 2025+ features.

Achieve end-to-end type safety with Zod runtime validation, tRPC type-safe APIs, Prisma ORM, and TypeScript 5.7+ features. Build fully type-safe applications from database to UI for 2025+ development.

End-to-end single-cell RNA-seq workflow from 10X Genomics data to annotated cell types. Covers QC, normalization, clustering, marker detection, and cell type annotation. Use when analyzing single-cell RNA-seq data.

Extract, analyze, and visualize simulation output data. Use for field extraction, time series analysis, line profiles, statistical summaries, derived quantity computation, result comparison to references, and automated report generation from simulation results.

Statistical visualization with pandas integration. Use for quick exploration of distributions, relationships, and categorical comparisons with attractive defaults. Best for box plots, violin plots, pair plots, heatmaps. Built on matplotlib. For interactive plots use plotly; for publication styling use scientific-visualization.