Design and implement parallax scrolling and scrollytelling data visualizations. Use when the user asks for parallax scrolling, scrollytelling, scroll-driven timelines, sticky graphics, Scrollama, ScrollTrigger, ScrollTimeline, view timelines, rich-media timelines, moviescrollers, scroll-scrubbed charts, staged narrative reveals, or interactive visual stories where scrolling changes a data visualization or media scene.
npx skills add https://github.com/openai/plugins --skill scrollytelling-and-parallax-data-visualization
Use this skill when scrolling is part of the explanation, not just navigation. Scrollytelling is an author-led narrative structure in which text, data marks, imagery, video, maps, or camera states change as the reader scrolls. Parallax is one possible scrollytelling technique: layers move at different rates to create depth, reveal scale, or connect foreground evidence to background context.
Default assumption: preserve native scrolling and make every scene meaningful as a still. Do not use parallax or scroll-scrubbed motion as decoration. Use it only when staged reveal, state change, elapsed time, spatial movement, or rich-media synchronization materially reduces interpretation cost.
useScroll, CSS ScrollTimeline, ViewTimeline, IntersectionObserver, position: sticky, parallax layers, moviescroller, or scroll-driven animation.Avoid scrollytelling when the story is clearer as a static chart, direct-label small multiples, a conventional article with inline figures, or an explicit stepper. Prefer a stepper when the states are discrete and the reader needs direct access, known length, replay, or controlled comparison more than continuous scroll.
../../references/foundations/fictional-data-story-simulation.md to define entity, temporal, spatial or physical, event, outcome, and derived comparison layers.../../references/foundations/meaning-preserving-visual-design-workflow.md and ../../references/foundations/mobile-first-responsive-visualization.md. Apply those shared references for Codex concept generation, large-screen/mobile variants, approval or iteration, scene contracts, and implementation deferral.../../references/foundations/embedded-visualization-self-use.md to name the primary specialist owner and mini-brief the layer's job, data shape, encoding, interaction, fallback, accessibility, QA check, and delegated or local fresh-pass status before scene composition.position: sticky for pinning10. Build accessibility and fallbacks before polish:
prefers-reduced-motion11. Test performance and interpretation:
../visualization-strategy-and-critique/SKILL.md first when deciding whether the story should be scrollytelling, a stepper, small multiples, or a static editorial chart.../react-and-nextjs-data-visualization/SKILL.md when the implementation is a React or Next.js story surface, especially with hydration, client-only libraries, dynamic imports, or route-level asset loading.../d3-data-visualization/SKILL.md when SVG data marks, labels, annotations, and scene-state transitions are the core work.../canvas2d-data-visualization/SKILL.md when dense flat marks or custom hit testing make SVG too heavy.../threejs-data-visualization/SKILL.md when WebGL, GPU layers, particles, flow, or camera-led 3D are necessary.../geospatial-and-cartographic-visualization/SKILL.md for map scrollytelling, fly-to sequences, route stories, or pan/zoom geography.../accessibility-and-inclusive-visualization/SKILL.md when motion sensitivity, keyboard path, screen-reader alternatives, or static fallbacks are central.../testing-data-visualizations/SKILL.md when validating scroll states, visual regression, render readiness, media loading, or reduced-motion behavior.../../references/foundations/fictional-data-story-simulation.md when sparse invented data would otherwise force the scroll story to rely on walls of text, decorative parallax, or generic chart tiles../references/story-patterns-and-scene-contracts.md./references/implementation-and-performance.md./references/accessibility-testing-and-review.md../../references/foundations/meaning-preserving-visual-design-workflow.md../../references/foundations/embedded-visualization-self-use.md../../references/foundations/mobile-first-responsive-visualization.mdComprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for: (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing data, (3) Modify existing spreadsheets while preserving formulas, (4) Data analysis and visualization in spreadsheets, or (5) Recalculating formulas
Use this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .csv, or .tsv file (e.g., adding columns, computing formulas, formatting, charting, cleaning messy data); create a new spreadsheet from scratch or from other data sources; or convert between tabular file formats. Trigger especially when the user references a spreadsheet file by name or path — even casually (like \"the xlsx in my downloads\") — and wants something done to it or produced from it. Also trigger for cleaning or restructuring messy tabular data files (malformed rows, misplaced headers, junk data) into proper spreadsheets. The deliverable must be a spreadsheet file. Do NOT trigger when the primary deliverable is a Word document, HTML report, standalone Python script, database pipeline, or Google Sheets API integration, even if tabular data is involved.
Picks random winners from lists, spreadsheets, or Google Sheets for giveaways, raffles, and contests. Ensures fair, unbiased selection with transparency.
Query openFDA API for drugs, devices, adverse events, recalls, regulatory submissions (510k, PMA), substance identification (UNII), for FDA regulatory data analysis and safety research.
MATLAB and GNU Octave numerical computing for matrix operations, data analysis, visualization, and scientific computing. Use when writing MATLAB/Octave scripts for linear algebra, signal processing, image processing, differential equations, optimization, statistics, or creating scientific visualizations. Also use when the user needs help with MATLAB syntax, functions, or wants to convert between MATLAB and Python code. Scripts can be executed with MATLAB or the open-source GNU Octave interpreter.
UMAP dimensionality reduction. Fast nonlinear manifold learning for 2D/3D visualization, clustering preprocessing (HDBSCAN), supervised/parametric UMAP, for high-dimensional data.
Creating interactive data visualisations using d3.js. This skill should be used when creating custom charts, graphs, network diagrams, geographic visualisations, or any complex SVG-based data visualisation that requires fine-grained control over visual elements, transitions, or interactions. Use this for bespoke visualisations beyond standard charting libraries, whether in React, Vue, Svelte, vanilla JavaScript, or any other environment.
Access AlphaFold 200M+ AI-predicted protein structures. Retrieve structures by UniProt ID, download PDB/mmCIF files, analyze confidence metrics (pLDDT, PAE), for drug discovery and structural biology.
Take openai/scrollytelling-and-parallax-data-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.