Build and repair focused Julia data workflows that consume Tables.jl sources, transform tabular data with DataFrames.jl, read or write delimited files with CSV.jl, handle TOML or YAML configuration, and render ordinary reports with PrettyTables.jl. Use for CSV/TSV ingestion, table transformations, configuration serialization, schema validation, and terminal/Markdown/HTML table output; do not use as a general statistics, database, plotting, or machine-learning guide.
How to install handle-julia-data?
krastanov/juliallmagentskills/handle-julia-data
$npx -y skills add krastanov/juliallmagentskills --skill handle-julia-dataInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/krastanov/juliallmagentskills" --skill "krastanov/juliallmagentskills/handle-julia-data"` 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/krastanov/juliallmagentskills" that are relevant to the current task. Run `npx skills add "https://github.com/krastanov/juliallmagentskills"` and select the relevant skills, then follow their instructions.
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