Dados e Análise

MATLAB and GNU Octave numerical computing for matrix operations, data analysis, visualization, and scientific computing. Use when writing MATLAB/Octave scripts for linear algebra, signal processing, image processing, differential equations, optimization, statistics, or creating scientific visualizations. Also use when the user needs help with MATLAB syntax, functions, or wants to convert between M

Fast CLI/Python queries to 20+ bioinformatics databases. Use for quick lookups: gene info, BLAST searches, AlphaFold structures, enrichment analysis. Best for interactive exploration, simple queries. For batch processing or advanced BLAST use biopython; for multi-database Python workflows use bioservices.

UMAP dimensionality reduction. Fast nonlinear manifold learning for 2D/3D visualization, clustering preprocessing (HDBSCAN), supervised/parametric UMAP, for high-dimensional data.

End-to-end Hi-C analysis workflow from contact pairs to compartments, TADs, and loops. Covers cooler matrices, cooltools analysis, and visualization. Use when processing Hi-C data to compartments and TADs.

Configura monitoramento, registro de logs e observabilidade para aplicações e infraestrutura. Lida com verificações de saúde, coleta de métricas, agregação de logs e sistemas de alerta, suportando ferramentas como Prometheus, Grafana, ELK Stack e Datadog.

Searches players and surfaces season stats, per-game rates, multi-season comparisons, roster snapshots, and prospect NHLe translations. Use when user asks how a player is performing, wants to compare two skaters, needs a team's top scorers, is evaluating a prospect from another league, or needs stats for fantasy or DFS. Do not use for goalie stats -- see goalie-analysis. Do not use for team-level

SDK do Azure Data Lake Storage Gen2 para Python. Utilize-o para sistemas de arquivos hierárquicos, análise de big data e operações de arquivo/diretório.

Extract methylation calls from Bismark BAM files using bismark_methylation_extractor. Generates per-cytosine reports for CpG, CHG, and CHH contexts. Use when extracting methylation levels from aligned bisulfite sequencing data for downstream analysis.

Postgres performance optimization and best practices from Supabase. Use this skill when writing, reviewing, or optimizing Postgres queries, schema designs, or database configurations.

Post-translational modification analysis including phosphorylation, acetylation, and ubiquitination. Covers site localization, motif analysis, and quantitative PTM analysis. Use when analyzing phosphoproteomic data or other modification-enriched samples.

Detect chromatin loops and point interactions from Hi-C data using cooltools, chromosight, and HiCCUPS-like methods. Identify CTCF-mediated loops and enhancer-promoter contacts. Use when detecting chromatin loops from Hi-C data.

Drizzle ORM patterns for PostgreSQL.