Make data visualizations accessible and inclusive. Use when the user needs chart or diagram accessibility guidance, text alternatives for complex visuals, color and contrast review, keyboard support, reduced-motion behavior for animation or parallax, or an accessibility QA workflow for exported figures, UML-like diagrams, and dashboards.
npx skills add https://github.com/openai/plugins --skill accessibility-and-inclusive-visualization
Use this skill when a visualization must be understandable by more people, in more contexts, with more assistive needs. Accessibility is not a post-processing step. It shapes chart selection, color, labeling, interaction, fallback text, and export strategy.
Default assumption: every important visualization should have a non-visual path to the key insight, whether through surrounding text, direct labels, data tables, or formal text alternatives.
../../references/foundations/meaning-preserving-visual-design-workflow.md exists: the accessible path must preserve the same claim, caveat, source context, evidence hierarchy, locked layout elements, mobile continuation, and interaction meaning as the visual design.../uml-and-software-architecture-visualization/SKILL.md for diagram-specific semantics.../../references/foundations/mobile-first-responsive-visualization.md to verify touch targets, drag alternatives, keyboard-open visual viewport behavior, main-visualization visibility, spotty-connection states, and fallbacks for AR, camera, motion, vibration, notifications, and geolocation.../../references/foundations/perception-color-and-encoding.md../../references/foundations/storytelling-annotation-and-critique.md../../references/foundations/meaning-preserving-visual-design-workflow.md../../references/foundations/mobile-first-responsive-visualization.md./references/text-alternatives-and-complex-images.md./references/color-contrast-and-redundant-encoding.md./references/keyboard-screen-reader-and-export.md./references/testing-and-review-workflow.md../uml-and-software-architecture-visualization/SKILL.md../scrollytelling-and-parallax-data-visualization/references/accessibility-testing-and-review.mdStatistical 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.
Populates investment banking pitch deck templates with data from source files. Use when: user provides a PowerPoint template to fill in, user has source data (Excel/CSV) to populate into slides, user mentions populating or filling a pitch deck template, or user needs to transfer data into existing slide layouts. Not for creating presentations from scratch.
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.
Meta-skill for publication-ready figures. Use when creating journal submission figures requiring multi-panel layouts, significance annotations, error bars, colorblind-safe palettes, and specific journal formatting (Nature, Science, Cell). Orchestrates matplotlib/seaborn/plotly with publication styles. For quick exploration use seaborn or plotly directly.
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.
Transform text-heavy slides into visual storytelling. Suggest layout improvements, icon usage, and data visualization.
Aggregate and rank signals from multiple edge-finding skills (edge-candidate-agent, theme-detector, sector-analyst, institutional-flow-tracker) into a prioritized conviction dashboard with weighted scoring, deduplication, and contradiction detection.
Optimize Core Web Vitals (LCP, INP, CLS) for better page experience and search ranking. Use when asked to "improve Core Web Vitals", "fix LCP", "reduce CLS", "optimize INP", "page experience optimization", or "fix layout shifts". Focuses specifically on the three Core Web Vitals metrics. Do NOT use for general web performance (use perf-web-optimization), Lighthouse audits (use perf-lighthouse), or Astro-specific optimization (use perf-astro).
Take openai/accessibility-and-inclusive-visualization from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.