Does this skill support Plotly subplots?

No, the skill enforces a 'single chart only' rule for analysis to ensure maximum clarity and impact in executive-ready presentations.

How does this skill prevent JSON parsing errors in Plotly?

It strictly mandates the use of native JSON objects and arrays for data properties, explicitly forbidding stringified JSON which frequently causes frontend rendering failures.

Are data labels mandatory for all charts?

Yes, for bar charts and heatmaps, the skill requires including text and textposition properties so that raw numbers or percentages are always visible to the viewer.

What color palette does this skill use?

It uses the Treasure Data primary palette, featuring a signature Teal (#44BAB8) and Navy Blue (#2E41A6), with specific logic for multi-series color cycling.

Field Agent Visualization

Name: Field Agent Visualization
Author: treasure-data

bytreasure-data

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Ciencia de Datos y ML

Generates professional, executive-ready Plotly visualizations using Treasure Data's standardized branding and strict formatting requirements.

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This skill empowers Claude to create high-quality, consistent data visualizations specifically tailored for Field Agent outputs and executive reporting. It enforces critical best practices, such as the exclusive use of the Treasure Data color palette, mandatory axis labeling, and precise JSON structure for Plotly to prevent rendering errors. By standardizing chart elements like legends, margins, and data labels, it ensures that every generated visualization is readable, impactful, and ready for professional presentation without further manual adjustment.

Características Principales

2 GitHub stars
Includes helper functions for hex-to-rgba color conversions and transparency
Optimizes legend positioning and chart margins for executive-ready layouts
Enforces Treasure Data's professional color palette for consistent brand identity
Standardizes JSON structure to ensure native array/object compatibility with Plotly
Mandates data labeling on bars and heatmaps for immediate readability

Casos de Uso

Creating brand-consistent performance dashboards and KPI reports
Standardizing Plotly chart outputs across automated reporting workflows
Generating interactive data visualizations for field agent analytics

Acerca de

Características Principales

2 GitHub stars
Includes helper functions for hex-to-rgba color conversions and transparency
Optimizes legend positioning and chart margins for executive-ready layouts
Enforces Treasure Data's professional color palette for consistent brand identity
Standardizes JSON structure to ensure native array/object compatibility with Plotly
Mandates data labeling on bars and heatmaps for immediate readability

Casos de Uso

Creating brand-consistent performance dashboards and KPI reports
Standardizing Plotly chart outputs across automated reporting workflows
Generating interactive data visualizations for field agent analytics