Run Vizdantic visualization workflows in this repo: load user datasets (CSV/Parquet/JSON/Excel), draft and validate Vizdantic specs, and render Plotly charts. Use when the user asks to visualize data, generate charts from a file/DataFrame, or execute Python to validate/render Vizdantic schema outputs.
How to install vizdantic-runner?
ivogarais/vizdantic/vizdantic-runner
$npx -y skills add ivogarais/vizdantic --skill vizdantic-runnerInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/ivogarais/vizdantic" --skill "ivogarais/vizdantic/vizdantic-runner"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/ivogarais/vizdantic" that are relevant to the current task. Run `npx skills add "https://github.com/ivogarais/vizdantic"` and select the relevant skills, then follow their instructions.
Related
6 picksType
- azure-kustoQuery and analyze data in Azure Data Explorer (Kusto/ADX) using KQL for log analytics, telemetry, and time series analysis.Jul 2026
- analyticsWhen the user wants to set up, improve, or audit analytics tracking and measurement.Jul 2026
- firecrawl-dashboard-reportingPull metrics from analytics dashboards and internal web tools with Firecrawl browser.Jun 2026
- data-storytellingTransform data into compelling narratives using visualization, context, and persuasive structure.Jul 2026
- data-visualizationCreate effective data visualizations with Python (matplotlib, seaborn, plotly).Jul 2026
- extension-oqlMake a canister's data queryable by the Caffeine Data Intelligence agent.Jul 2026
