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…/portaljs/portaljs-check-data-quality
home/skills/datopian/portaljs/portaljs-check-data-quality
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portaljs-check-data-quality

bydatopian· 14 skills

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Forks

333

Category

Data Science & Analytics

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TL;DR

Audit a local or remote tabular file (CSV/TSV) for common data quality issues — schema, nulls, types, duplicates. Read-only. Use when a dataset needs a quality check before publishing, or a showcase renders wrong (blank cells, garbled numbers, an unsortable date column) and the cause needs isolating.

How to install portaljs-check-data-quality?

datopian/portaljs/portaljs-check-data-quality
$npx -y skills add datopian/portaljs --skill portaljs-check-data-quality

Installs into the current project.

›Prefer a prompt? Paste this to your agent

Use this skill

Run `npx skills use "https://github.com/datopian/portaljs" --skill "datopian/portaljs/portaljs-check-data-quality"` 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 whole pack

Use the skills in "https://github.com/datopian/portaljs" that are relevant to the current task. Run `npx skills add "https://github.com/datopian/portaljs"` and select the relevant skills, then follow their instructions.

Preview

datopian/portaljsdatopian/portaljs

$ npx -y skills add datopian/portaljs --skill portaljs-check-data-quality

▸ installing to .claude/skills…

✓ portaljs-check-data-quality ready

Repodatopian/portaljs
TypeSkills
CategoryData Science & Analytics
ForAnalystDeveloper
UpdatedJul 2026
License—
First seenJul 27, 2026

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