heatmaps AI Agent Skills

Browse 36 skills related to heatmaps

seaborn

Statistical visualization. Scatter, box, violin, heatmaps, pair plots, regression, correlation matrices, KDE, faceted plots, for exploratory analysis and publication figures.

plotly

Interactive scientific and statistical data visualization library for Python. Use when creating charts, plots, or visualizations including scatter plots, line charts, bar charts, heatmaps, 3D plots, geographic maps, statistical distributions, financial charts, and dashboards. Supports both quick visualizations (Plotly Express) and fine-grained customization (graph objects). Outputs interactive HTML or static images (PNG, PDF, SVG).

matplotlib

Foundational plotting library. Create line plots, scatter, bar, histograms, heatmaps, 3D, subplots, export PNG/PDF/SVG, for scientific visualization and publication figures.

deeptools

NGS analysis toolkit. BAM to bigWig conversion, QC (correlation, PCA, fingerprints), heatmaps/profiles (TSS, peaks), for ChIP-seq, RNA-seq, ATAC-seq visualization.

seaborn

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.

deeptools

NGS analysis toolkit. BAM to bigWig conversion, QC (correlation, PCA, fingerprints), heatmaps/profiles (TSS, peaks), for ChIP-seq, RNA-seq, ATAC-seq visualization.

antv-l7

Comprehensive guide for AntV L7 geospatial visualization library. Use when users need to: (1) Create interactive maps with WebGL rendering (2) Visualize geographic data (points, lines, polygons, heatmaps) (3) Build location-based data dashboards (4) Add map layers, interactions, or animations (5) Process and display GeoJSON, CSV, or other spatial data (6) Integrate maps with AMap (GaodeMap), Mapbox, Maplibre, or standalone L7 Map (7) Optimize performance for large-scale geographic datasets

hotjar

Access Hotjar recordings and heatmaps via API. Understand user behavior on your site.

heatmap-analysis

Analyze user interaction heatmaps for attention patterns and click behavior

bio-data-visualization-ggplot2-fundamentals

Create publication-quality scientific figures with ggplot2 including scatter plots, boxplots, heatmaps, and multi-panel layouts. Use when creating static figures for papers, presentations, or reports in R.

bio-data-visualization-heatmaps-clustering

Create clustered heatmaps with row/column annotations using ComplexHeatmap, pheatmap, and seaborn for gene expression and omics data visualization. Use when visualizing expression patterns across samples or identifying co-expressed gene clusters.

bio-metagenomics-visualization

Visualize metagenomic profiles using R (phyloseq, microbiome) and Python (matplotlib, seaborn). Create stacked bar plots, heatmaps, PCA plots, and diversity analyses. Use when creating publication-quality figures from MetaPhlAn, Bracken, or other taxonomic profiling output.

bio-de-visualization

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.

bio-copy-number-cnv-visualization

Visualize copy number profiles, segments, and compare across samples. Create publication-quality plots of CNV data from CNVkit, GATK, or other callers. Use when creating genome-wide CNV plots, sample heatmaps, or chromosome-level visualizations.

elasticsearch-esql

Generate and execute ES|QL (Elasticsearch Query Language) queries from natural language and visualize results with Vega-Lite charts. Translates user intent into valid ES|QL queries, executes them against Elasticsearch, and can render professional data visualizations (bar, line, scatter, heatmaps, small multiples, etc.). Use when the user wants to query Elasticsearch data, analyze logs, aggregate metrics, explore data, or create charts and dashboards from ES|QL results.

heatmap-visualization

Use this skill when asked to create heatmaps, visualize patterns over time, show activity grids, or display aggregated data in a matrix format. Triggers on keywords like "heatmap", "show heatmap", "visualize patterns", "activity grid", "time-based visualization", or when analyzing attack patterns, sign-in activity, or event distributions by time period.

data-visualization

datadrivenconstruction

Create visualizations for construction data. Generate charts, graphs, heatmaps, and interactive dashboards using Matplotlib, Seaborn, and Plotly for project analysis and reporting.

deeptools

NGS analysis toolkit. BAM to bigWig conversion, QC (correlation, PCA, fingerprints), heatmaps/profiles (TSS, peaks), for ChIP-seq, RNA-seq, ATAC-seq visualization.

cellcellcommunicationplots

Visualize cell–cell communication inference results from the CellCellCommunication process. Creates publication-ready network diagrams, heatmaps, and interaction plots to help interpret ligand–receptor interactions between cell types.

clustermarkers

Finds differentially expressed genes (markers) for clusters of T/B cells using Seurat's FindMarkers function. Performs statistical testing between clusters, identifies cluster-defining genes, and automatically runs pathway enrichment analysis (via Enrichr) on significant markers. Generates publication-ready visualizations including volcano plots, dot plots, heatmaps, and enrichment plots.

metabolicpathwayactivity

Calculates pathway activity scores for metabolic pathways across different cell groups and subsets. This process quantifies the metabolic activity of each pathway per group, generating visualizations (heatmaps and violin plots) to compare metabolic states between clusters or conditions. Based on the methodology from Xiao et al.

Geo Visualizer

Create interactive maps with markers, heatmaps, routes, and choropleth layers. Use when visualizing geographic data, plotting locations, or creating map-based reports.

deeptools

NGS analysis toolkit. BAM to bigWig conversion, QC (correlation, PCA, fingerprints), heatmaps/profiles (TSS, peaks), for ChIP-seq, RNA-seq, ATAC-seq visualization.

seaborn

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.

maps-geolocation

Build location-based features with mapping APIs. Use when a user asks to integrate Google Maps, Mapbox, or Leaflet, implement geocoding and reverse geocoding, calculate routes and distances, build store locators, add interactive maps to web apps, implement geofencing, work with GeoJSON, build delivery tracking systems, optimize routes for fleets, display heatmaps, implement address autocomplete, or build any location-aware application. Covers Google Maps Platform, Mapbox, Leaflet, and OpenStreetMap/Nominatim.

hotjar

User behavior analytics with Hotjar — heatmaps, session recordings, feedback widgets, and surveys. Covers script installation, JavaScript API for custom events and user attributes, survey API, integration with analytics platforms like Google Analytics and Mixpanel, and privacy controls. Use when tasks involve understanding how users interact with a page visually, debugging UX issues with session recordings, or collecting user feedback with surveys.

hotjarheatmapssession-recording+3

matplotlib

Matplotlib API patterns for creating publication-quality visualizations. Use when /ds:eda needs distribution plots, correlation heatmaps, or relationship visualizations, or when /ds:experiment needs result plots (learning curves, confusion matrices, forecast visualizations). For standard ML diagnostic plots use scikit-learn display utilities; for statsmodels diagnostic plots use statsmodels built-in plotting; for quick statistical plots prefer seaborn.

analyzing-apt-group-with-mitre-navigator

Analyze advanced persistent threat (APT) group techniques using MITRE ATT&CK Navigator to create layered heatmaps of adversary TTPs for detection gap analysis and threat-informed defense.

mitre-attacknavigatorapt+5

seaborn

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.

deeptools

NGS analysis toolkit. BAM to bigWig conversion, QC (correlation, PCA, fingerprints), heatmaps/profiles (TSS, peaks), for ChIP-seq, RNA-seq, ATAC-seq visualization.

habit-tracker

Track daily habits with streaks, heatmaps, and completion reports using SQLite storage.

data-visualization

Create visualizations for construction data. Generate charts, graphs, heatmaps, and interactive dashboards using Matplotlib, Seaborn, and Plotly for project analysis and reporting.

Microsoft Clarity Automation

Automate Microsoft Clarity tasks via Rube MCP (Composio): session recordings, heatmaps, and user behavior analytics. Always search tools first for current schemas.

seaborn

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.

microsoft_clarity-automation

Automate Microsoft Clarity tasks via Rube MCP (Composio): session recordings, heatmaps, and user behavior analytics. Always search tools first for current schemas.

deeptools

NGS analysis toolkit. BAM to bigWig conversion, QC (correlation, PCA, fingerprints), heatmaps/profiles (TSS, peaks), for ChIP-seq, RNA-seq, ATAC-seq visualization.

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