Audit charts, dashboards, and infographics for statistical honesty and accessibility.
npx skills add https://github.com/zivtech/joyus-desktop --skill dataviz-critic
Please help me install this Agent Skill. Skill: dataviz-critic Source: https://github.com/zivtech/joyus-desktop/tree/main/.claude/skills/dataviz-critic Command: npx skills add https://github.com/zivtech/joyus-desktop --skill dataviz-critic
This skill prevents the publication of misleading or inaccessible data visualizations by auditing design decisions that standard data validation tools miss.
Use the dataviz-critic skill to review the chart image provided in the current context for design defects and accessibility gaps.
High-intent search queries and answers about installing and using this skill.
A data visualization design audit evaluates charts for statistical honesty, accessibility, and cognitive load. This review identifies defects like misleading axes or inaccessible color palettes prior to dashboard publication.
An equity assessment for charts identifies if visualizations obscure disparities or marginalize specific populations. It ensures graphical representations communicate demographic findings fairly without hiding disparities.
Yes, you can review infographics for colorblind accessibility before publication. The analysis checks if color choices are accessible to colorblind users and evaluates overall cognitive load for the target audience.
To check if dashboard axes are scaled honestly, perform a multi-perspective design audit evaluating statistical honesty. This analysis detects misleading scaling decisions and communication gaps prior to stakeholder presentation.
You need a multi-perspective analysis for a data visualization when preparing charts, dashboards, or infographics for publication. It ensures design decisions meet statistical, accessibility, and audience-centric standards simultaneously.
aimentor606Guide chart selection and provide Python code patterns for matplotlib, seaborn, and Plotly.
jkitchinSelect and apply Matplotlib, Seaborn, or Plotly for Python visualizations.
CapatainaMaintain repository context memory documenting architecture, subsystem interfaces, and risks.
jamditisProvide WCAG-based accessibility patterns and checklists for web publishing workflows.
