visualization▌

Create publication-ready scientific figures with matplotlib, seaborn, and plotly. \n \n Supports multi-panel layouts, error bars, significance markers, and journal-specific styling for Nature, Science, Cell, and PLOS \n Includes colorblind-safe palettes (Okabe-Ito, viridis) and grayscale compatibility testing to ensure accessibility \n Provides pre-configured style presets and export utilities for PDF, EPS, TIFF at correct DPI (300–1200 depending on figure type) \n Covers typography, resolution,

Builds real-time incident response dashboards in Splunk, Elastic, or Grafana to provide SOC analysts and leadership with situational awareness during active incidents, tracking affected systems, containment status, IOC spread, and response timeline. Use when IR teams need unified visibility during incident coordination and post-incident reporting.

Comprehensive toolkit for creating, analyzing, and visualizing complex networks and graphs in Python.

Low-level plotting library for full customization, ideal for scientific workflows and publication-quality visualizations.

MATLAB and GNU Octave numerical computing for matrix operations, data analysis, visualization, and scientific computing.

Create professional research posters in LaTeX using beamerposter, tikzposter, or baposter.

Create professional infographics using Nano Banana Pro AI with smart iterative refinement and quality review.

A toolkit for phylogenetic tree manipulation, analysis, and visualization, integrating with biological databases for phylogenomics.

deepTools is a comprehensive suite of Python command-line tools for processing and analyzing high-throughput sequencing data.

This skill provides a workflow for transforming data into structured narrative text visualizations using T8 Syntax - a declarative Markdown-like language for creating data narratives with semantic entity annotations.