Automate publication-quality charts from tabular data using Python libraries.
npx skills add https://github.com/openyak/desktop --skill create-viz-openyak
Please help me install this Agent Skill. Skill: create-viz Source: https://github.com/openyak/desktop/tree/main/backend/app/data/plugins/data/skills/create-viz Command: npx skills add https://github.com/openyak/desktop --skill create-viz-openyak
Automates the creation of publication-quality charts from data, saving time and ensuring consistent visuals.
Provide a dataset or DataFrame and a chart type, and I will generate a publication-quality visualization.
High-intent search queries and answers about installing and using this skill.
To create publication-quality charts from a pandas DataFrame, provide your dataset and desired chart type to automatically generate visuals using best-practice defaults via matplotlib and seaborn.
Yes, you can generate interactive plots for dashboards using Plotly. The process renders high-quality interactive visuals directly from your tabular data alongside static publication-ready outputs.
Automatically selecting suitable chart types for data analysis requires providing your dataset. The system then determines the best visual format for trends, comparisons, and distributions.
Yes, this visualization tool works with query results for reporting. It turns query outputs into ready-to-use charts, ensuring consistent visuals for presentations and data storytelling.
The best way to turn tabular data into presentation-ready visualizations is to apply automated chart generation with best-practice defaults, producing high-quality charts suitable for reports and dashboards.
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