Analytics
Data analysis and visualization
geospatial-visualization
by uw-ssec
Master geographic and mapping visualizations with GeoViews. Use this skill when creating interactive maps, visualizing point/polygon/line geographic data, building choropleth maps, performing spatial analysis (joins, buffers, proximity), working with coordinate reference systems, or integrating tile providers and basemaps.
plotting-fundamentals
by uw-ssec
Master quick plotting and interactive visualization with hvPlot. Use this skill when creating basic plots (line, scatter, bar, histogram, box), visualizing pandas DataFrames with minimal code, adding interactivity and hover tools, composing multiple plots in layouts, or generating publication-quality visualizations rapidly.
panel-dashboards
by uw-ssec
Master interactive dashboard and application development with Panel and Param. Use this skill when building custom web applications with Python, creating reactive component-based UIs, handling file uploads and real-time data streaming, implementing multi-page applications, or developing enterprise dashboards with templates and theming.
advanced-rendering
by uw-ssec
Master high-performance rendering for large datasets with Datashader. Use this skill when working with datasets exceeding 100M+ points, optimizing visualization performance, or implementing efficient rendering strategies with rasterization and colormapping techniques.
data-visualization
by uw-ssec
Master advanced declarative visualization with HoloViews. Use this skill when creating complex multi-dimensional visualizations, composing overlays and layouts, implementing interactive streams and selection, building network or hierarchical visualizations, or exploring data with dynamic maps and faceted displays.
lumen-dashboards
by uw-ssec
Master declarative, no-code data dashboards with Lumen YAML specifications. Use this skill when building standard data exploration dashboards, connecting multiple data sources (files, databases, APIs), creating interactive filters and cross-filtering, designing responsive layouts with indicators and charts, or enabling rapid dashboard prototyping without writing code.
clinical-decision-support
by ynulihao
"Generate professional clinical decision support (CDS) documents for pharmaceutical and clinical research settings, including patient cohort analyses (biomarker-stratified with outcomes) and treatment recommendation reports (evidence-based guidelines with decision algorithms). Supports GRADE evidence grading, statistical analysis (hazard ratios, survival curves, waterfall plots), biomarker integration, and regulatory compliance. Outputs publication-ready LaTeX/PDF format optimized for drug development, clinical research, and evidence synthesis."
seuratsubclustering
by pwwang
Performs fine-grained re-clustering on specific subsets of cells (e.g., individual clusters, cell types, or custom subsets). Unlike Seurat::FindSubCluster which only finds subclusters within a single cluster, this process performs the complete clustering workflow (PCA, UMAP, FindNeighbors, FindClusters) on any subset of cells defined by metadata filters or cell barcode lists.
sampleinfo
by pwwang
The SampleInfo process is the pipeline entry point that reads sample metadata files, performs statistical analyses, and generates visualization reports.
cellcellcommunicationplots
by pwwang
Visualize cell-cell communication inference results from CellCellCommunication process. Creates publication-ready network diagrams, heatmaps, and interaction plots to help interpret ligand-receptor interactions between cell types.
seuratclusterstats
by pwwang
Generates comprehensive cluster statistics and visualizations for Seurat objects, including dimension reduction plots, gene expression visualizations, cluster quality metrics, and clustree diagrams. This process is essential for exploring and validating clustering results.
topexpressinggenes
by pwwang
Identifies and visualizes the top expressing genes per cluster in T/B cells, followed by pathway enrichment analysis. Provides quick cluster characterization by highlighting the most highly expressed genes and their biological functions.
seuratclustering
by pwwang
Performs unsupervised clustering on single-cell RNA-seq data using Seurat. This process finds nearest neighbors, computes UMAP for visualization, and applies Louvain/Leiden algorithms to identify cell clusters. Clusters can be explored at multiple resolutions to balance granularity and biological relevance.
positioning-basics
by BrianRWagner
Help founders and marketers nail their positioning. Use when someone mentions "positioning," "value proposition," "who is this for," "how do I describe my product," "messaging," "ICP," "ideal customer," or is struggling to articulate what makes their product different.
acsets-algebraic-databases
by plurigrid
"ACSets (Attributed C-Sets): Algebraic databases with Specter-style bidirectional"
acsets-algebraic-databases
by plurigrid
"ACSets (Attributed C-Sets): Algebraic databases with Specter-style bidirectional navigation. Category-theoretic formalism for relational databases."
helm-chart-scaffolding
by HermeticOrmus
Design, organize, and manage Helm charts for templating and packaging Kubernetes applications with reusable configurations. Use when creating Helm charts, packaging Kubernetes applications, or implementing templated deployments.
field-agent-visualization
by treasure-data
Professional Plotly visualization best practices for Field Agents including chart specifications, color palettes, formatting standards, and JSON structure requirements for executive-ready data visualizations
gh-activity-summary
by ericmjl
Generate a plain-language activity report of your GitHub work for a given date range, including commits, pull requests, reviews, issues, and comments. Use this when you need to summarize what you've accomplished on GitHub for status updates, retrospectives, or tracking your work.
heat-1d-schrodingerization
by unitarylab
A quantum-compatible solver for the 1D Heat Equation using Schrödingerization to transform the non-unitary diffusion equation into a unitary evolution problem. Supports Dirichlet and periodic boundary conditions, source terms, and both classical and Trotter-based quantum evolution with automatic circuit generation and solution visualization.
qaoa
by unitarylab
Skill for understanding, using, and implementing the Quantum Approximate Optimization Algorithm (QAOA) for Max-Cut problems via the QAOAAlgorithm class.
qiskit
by unitarylab
A collection of quantum algorithms implemented using Qiskit, covering a wide range of topics including quantum search, quantum phase estimation, amplitude amplification, and more. Provides efficient implementations and examples for various quantum computing applications.
vqe
by unitarylab
Skill for understanding, using, and implementing the Variational Quantum Eigensolver (VQE) for finding the ground state energy of the 2-qubit Ising Hamiltonian via the VQEAlgorithm class.
fiftyone-embeddings-visualization
by voxel51
Visualizes datasets in 2D using embeddings with UMAP or t-SNE dimensionality reduction. Use when exploring dataset structure, finding clusters, identifying outliers, or understanding data distribution.