visualize

Create interactive visualizations from structured data inside Aurevoy's conversation canvas.

10|2|Updated Jun 7, 2026
One-click install
npx skills add https://github.com/nullskymc/Aurevoy --skill visualize-nullskymc
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: visualize
Source: https://github.com/nullskymc/Aurevoy/tree/main/apps/agent/skills/builtin/visualize
Command: npx skills add https://github.com/nullskymc/Aurevoy --skill visualize-nullskymc

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps you explore structured data visually when you need to compare values, spot patterns, drill into details, or understand how changes in parameters affect outcomes without building a separate app or report.

Core Features & Use Cases

  • Interactive exploration: Present charts, comparison views, or simulators directly inside the Aurevoy conversation for fast analysis.
  • Data-aware visualization: Reads local CSV, TSV, JSON, Excel, or workspace data, inspects samples and fields, and chooses an appropriate visualization for the data shape.
  • Focused use cases: Useful for trend analysis, category comparisons, distribution inspection, and parameter-driven what-if exploration.
  • Aurevoy-native UI: Uses the present_ui canvas so the visualization stays inside the chat experience and works with the app’s theme and interaction model.

Quick Start

Ask Aurevoy to visualize the attached data file and show the most relevant interactive chart for exploring it.

Frequently Asked Questions about visualize

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I visualize CSV or JSON data interactively inside a chat conversation?

To visualize structured data interactively, attach your CSV, TSV, JSON, or Excel file into the conversation. The Skill inspects the local data fields and renders an interactive chart directly on the canvas.

What types of interactive charts can I generate for trend analysis and category comparison?

For trend analysis and category comparison, the Skill generates interactive charts that allow parameter adjustments and what-if exploration. It automatically selects an appropriate visualization based on your data's shape.

Does the visualization tool work with local Excel files without building a separate app?

Yes, the visualization tool works with local Excel files without building a separate app. It reads workspace data and renders comparison views, simulators, and charts natively inside the chat canvas.

Can I adjust parameters to explore how data relationships change in real time?

Yes, you can adjust parameters to explore data relationships in real time. The Skill creates what-if exploration views that let you inspect distributions and understand outcomes dynamically within the canvas.

What is the best way to inspect distributions and spot patterns in structured data?

The best way to inspect distributions and spot patterns is to load structured data into the chat canvas. The Skill reads field samples, selects relevant axes, and applies an interactive visualization for immediate data exploration.

Are there limitations to canvas-based data exploration for complex datasets?

Canvas-based data exploration requires minimal field selection and local data inspection to function properly. It is designed for focused use cases like trend analysis rather than handling highly complex multi-source datasets.