“data visualization”

Toolkit for comprehensive Spreadsheet reading, creation, editing, and analysis with visual quality control.

Generate self-contained HTML visual explanations for systems, code changes, plans, data, and technical concepts.

Generate interactive charts, data explorers, diagrams, simulations, or UI previews as executable HTML fragments embedded directly in the conversation.

Opens a live visual dashboard of your Claude Code configuration and usage analytics.

CSV/JSON/Excel data analysis, statistics, visualization

Run the CDF Video Data Augmentation Airflow workflow on Kubernetes or OSMO to create Cosmos video-to-video variants and auto-label both source and generated…

Production pipeline for interactive and generative visual art using p5.js.

Production pipeline for interactive and generative visual art using p5.js.

A skill to query Tableau data sources, the "last mile" of analytics in an organization.

Draws ASCII diagrams, screen mockups and HTML previews, in a message or inside a document.

Python visual creation and matplotlib/seaborn patterns for PBIR reports.

Amap (Gaode) Maps comprehensive service for POI search, route planning, travel planning, nearby search, heatmap visualization, and geocoding.

Generate publication-quality PNG chart images from data, supporting line, bar, area, candlestick, pie, and heatmap charts.

Maintain a visual "dialog tree" — a data file plus a self-contained HTML viewer in the project repo that map the branches of a long conversation (user…

Generates a single-page interactive HTML visualization for branch recaps, architecture plans, or codebase dependency maps.

Decide and render a chart battery for any tabular dataset.

Use when calling these MolClaw MCP tools: `mcp__molclaw-scp__interaction_visualizer`.

This skill should be used when the user asks to "plan a workflow", "diagram an agent system", "visualize an architecture", "map out a pipeline", "create a…

Digitize an image of an XRD plot into a numeric .xy data file by extracting visual peaks.

Extract, analyze, and visualize simulation output data.

When structured data needs visual presentation → use json-render templates (flowchart, form, dashboard, cards, gallery, table, kanban, diagram).

Spreadsheet toolkit (.xlsx/.csv).

Guides the full visualization lifecycle: story → inspect → select → build → review.

Explain a freshly cloned repo visually in a landscape PDF on the Desktop (overview, dictionary, technologies, data models, abstract architecture map…