PortalJS — Add Chart

SkillDatabases & data

Lets your agent add a line, bar, area, pie, or scatter chart to a dataset's showcase page in a PortalJS portal.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the PortalJS — Add Chart skill

About this capability

Add a chart (line, bar, area, pie, or scatter) to a dataset's showcase in a PortalJS portal. Installs recharts, writes a reusable Chart component, and renders it in the showcase Views section. Use when visualizing a dataset already registered in datasets.json.

What this skill tells your AI

The instructions your AI receives, as published by datopian/portaljs in skills/portaljs-add-chart/SKILL.md and read by ahel’s review.

Overview

Add a visualization to a dataset's showcase in a PortalJS portal. The skill installs recharts (added directly — never @portaljs/components), writes a reusable client-side Chart component into components/, and renders a <Chart /> into the Views section of the showcase route pages/[owner]/[slug].tsx for one chosen dataset. The chart reads the same /public/data/<file> the showcase <Table /> already uses, so no data is duplicated. Five chart types are supported: line, bar, area, pie, and scatter.

Prerequisites

  • A scaffolded PortalJS portal (see portaljs-new-portal).
  • The target dataset already registered in datasets.json (see portaljs-add-dataset).
  • components/ui/parseCsv.ts present (ships with the template).
  • Node 18+ and npm available in the portal directory.

Instructions

The canonical, full step-by-step workflow is .claude/commands/portaljs-add-chart.md — the single source of truth. Read and follow it when executing. Summary:

  1. Gather input — dataset slug, X column, Y column(s), chart type (default line), portal directory. If any is missing, interview the user; never dead-end on a missing value.
  2. Resolve the dataset from datasets.json (namespace, file, format).
  3. Validate that the X and every Y column exist in the data file's header; warn on non-numeric Y columns (values are coerced with Number()).
  4. Install the chart library: npm install recharts@^2.15.0.
  5. Write components/Chart.tsx (idempotent — do not overwrite a customized component).
  6. Render <Chart /> into the Views section, gated on the dataset's (namespace, slug) so other showcases are unaffected. Extend an existing view-dispatch block, do not overwrite.
  7. Verify with npx tsc --noEmit.
  8. Report the component, route, and dependency added.

Output

  • Created: components/Chart.tsx (recharts wrapper, if absent).
  • Modified: pages/[owner]/[slug].tsx (import + gated <Chart /> in Views); package.json (recharts@^2.15.0).
  • Verified: npx tsc --noEmit passes.
  • Result: the chart renders at /@<namespace>/<slug> under a "Views" heading.

Error Handling

SymptomCauseFix
Missing dataset/columnsSlug or column not in manifest/headerList available slugs/headers and re-prompt; do not error out.
Gaps in the chartNon-numeric cells coerced to NaNClean the source data or pick a numeric Y column.
tsc failureBad column prop or import pathFix the first reported error before reporting success.
Sluggish renderOver ~2,000 SVG pointsPre-aggregate the series (e.g. yearly buckets).

Examples

Example 1 — Single line series

/portaljs-add-chart co2-emissions x=year y=emissions type=line

Example 2 — Multi-series bar chart

/portaljs-add-chart trade x=year y=imports,exports type=bar

Example 3 — Pie chart of a categorical breakdown

/portaljs-add-chart budget x=department y=amount type=pie

Resources

Signals

GitHub stars
2k
Forks
332
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
portaljs-add-chart
Source
github.com/datopian/portaljs