Data & Analytics

Comprehensive urban data analysis platform for community engagement, social metrics tracking, and stakeholder collaboration.

Update the dashboard with the latest status and outcomes of processed tasks. Use this skill to maintain an accurate record of completed actions and system status.

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.

Guide Claude through ingesting TCGA sample sheets, expression archives, and clinical carts into omicverse, initialising survival metadata, and exporting annotated AnnData files.

Advanced toolkit for generating synthetic training datasets, data augmentation, and privacy-preserving dataset synthesis for ML research

奇异植物 - Stella深入研究盖亚星球的植物生态,发现既美丽又危险的外星植被,并尝试找到可利用的资源

Statistical modeling toolkit. OLS, GLM, logistic, ARIMA, time series, hypothesis tests, diagnostics, AIC/BIC, for rigorous statistical inference and econometric analysis.

Master modern SQL with cloud-native databases, OLTP/OLAP

Master modern SQL with cloud-native databases, OLTP/OLAP

Master modern SQL with cloud-native databases, OLTP/OLAP

Process split datasets into training, validation, and testing sets for ML model development. Use when requesting "split dataset", "train-test split", or "data partitioning". Trigger with relevant phrases based on skill purpose.

Analyzes audio recordings and speech streams for quality metrics including clarity, noise levels, distortion, and intelligibility scoring. Supports batch processing and real-time evaluation workflows.

Calibrate and preprocess spectroscopic datasets (NMR, MS, IR). Baseline correction, peak alignment, normalization, batch effect removal for analytical chemistry workflows.

Map scRNA-seq atlases onto spatial transcriptomics slides using omicverse's Single2Spatial workflow for deep-forest training, spot-level assessment, and marker visualisation.

Quick-reference sheet for OmicVerse tutorials spanning MOFA, GLUE pairing, SIMBA integration, TOSICA transfer, and StaVIA cartography.

Quick-reference sheet for OmicVerse tutorials spanning MOFA, GLUE pairing, SIMBA integration, TOSICA transfer, and StaVIA cartography.

Run omicverse's CellPhoneDB v5 wrapper on annotated single-cell data to infer ligand-receptor networks and produce CellChat-style visualisations.

Advanced gameplay session analysis for competitive balance insights, player behavior patterns, and match outcome prediction.

Advanced sentiment analysis and opinion mining for text data with contextual interpretation frameworks

This skill should be used when working with single-cell omics data analysis using scvi-tools, including scRNA-seq, scATAC-seq, CITE-seq, spatial transcriptomics, and other single-cell modalities. Use this skill for probabilistic modeling, batch correction, dimensionality reduction, differential expression, cell type annotation, multimodal integration, and spatial analysis tasks.

name: scikit-learn description: Machine learning in Python with scikit-learn. Use when working with supervised learning (classification, regression), unsupervised learning (clustering, dimensionality reduction), model evaluation, hyperparameter tuning, preprocessing, or building ML pipelines. Provides comprehensive reference documentation for algorithms, preprocessing techniques, pipelines, and best practices. ---

Biological data toolkit. Sequence analysis, alignments, phylogenetic trees, diversity metrics (alpha/beta, UniFrac), ordination (PCoA), PERMANOVA, FASTA/Newick I/O, for microbiome analysis.

Biological data toolkit. Sequence analysis, alignments, phylogenetic trees, diversity metrics (alpha/beta, UniFrac), ordination (PCoA), PERMANOVA, FASTA/Newick I/O, for microbiome analysis.

Create publication figures with matplotlib/seaborn/plotly. Multi-panel layouts, error bars, significance markers, colorblind-safe, export PDF/EPS/TIFF, for journal-ready scientific plots.