PortalJS — Add Chart
SkillDatabases & dataLets 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.
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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(seeportaljs-add-dataset). components/ui/parseCsv.tspresent (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:
- 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. - Resolve the dataset from
datasets.json(namespace,file,format). - 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()). - Install the chart library:
npm install recharts@^2.15.0. - Write
components/Chart.tsx(idempotent — do not overwrite a customized component). - 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. - Verify with
npx tsc --noEmit. - 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 --noEmitpasses. - Result: the chart renders at
/@<namespace>/<slug>under a "Views" heading.
Error Handling
| Symptom | Cause | Fix |
|---|---|---|
| Missing dataset/columns | Slug or column not in manifest/header | List available slugs/headers and re-prompt; do not error out. |
| Gaps in the chart | Non-numeric cells coerced to NaN | Clean the source data or pick a numeric Y column. |
tsc failure | Bad column prop or import path | Fix the first reported error before reporting success. |
| Sluggish render | Over ~2,000 SVG points | Pre-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
- Full workflow:
.claude/commands/portaljs-add-chart.md - Chart-type and prop reference:
references/reference.md - Related skills:
portaljs-add-dataset,portaljs-add-map,portaljs-define-schema - recharts documentation: https://recharts.org/
Signals
- GitHub stars
- 2k
- Forks
- 332
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
portaljs-add-chart- Source
- github.com/datopian/portaljs