artifact-dashboard
Create a dashboard artifact - KPI tiles, a chart, and a breakdown table for reading quantitative data at a glance.
Skill by FrauH0lle
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/frauh0lle-artifact-dashboard
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: frontend, data
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md and code. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
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- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/artifact-dashboard
What's inside
- Skill name
artifact-dashboard- Description
- Create a dashboard artifact - KPI tiles, a chart, and a breakdown table for reading quantitative data at a glance. Use when the user asks for a dashboard, metrics view, KPI summary, monitoring page, or analytics overview. Only for CREATING a new dashboard; edits to an existing one modify its HTML directly.
- License
- GPL-3.0
- Instructions
- 146 lines in SKILL.md · view on GitHub
Files (2)
- SKILL.md
- template.html
SKILL.md (first lines)
$ARGUMENTS
!$artifact
!$artifact-design
# Dashboard artifacts
A dashboard is scanned and operated, not read top to bottom: the summary comes
before the detail, and what needs attention reads at a glance. The template
gives you a KPI row, one primary chart, and a breakdown table - a sensible
default arrangement, not a fixed structure.
## How to use
1. Read the template:
```
${MEVEDEL_SKILL_DIR}template.html
```
2. Copy it as your starting point and replace each `<!-- SLOT: ... -->` marker
with real content; the comment inside each slot says what goes there. Each
slot also carries placeholder values - replace those too, or delete the
section they belong to.
3. Then make the dashboard fit the data and the ask: add charts, reorder or
drop sections, extend the layout. The slots are where you start, not where
you stop; the card, chart, and table styles are components to build with.
Keep the base styling so the result reads as one coherent design.
4. Self-check before writing the file: no `SLOT` markers left, no placeholder
or invented values, and every custom color routed through a token declared
in every scope (light, both dark blocks, print) so it survives both themes.
5. Write the file into the project artifact store with ApplyPatch, per the
artifact rules above.
**Creation only.** When updating an existing dashboard, work with its current
HTML directly - don't re-read or re-apply this template.
## Slots
| Slot | What to fill in |
| --- | --- |
| `TITLE` | The dashboard's name. Appears twice - the `<title>` element and the visible `<h1>`. Fill both. |
| `SUBTITLE` | The scope and period this covers. |
| `KPI_TILES` | 2-5 `.card.kpi` blocks, one headline number each, with an optional delta. |
| `CHART_TITLE` / `CHART_NOTE` | A meaningful chart heading and description: measure, units, categories, and any axis caveat. They label the accessible chart region. |
| `BREAKDOWN_TITLE` / `BREAKDOWN_ROWS` | The table heading, its `<th>` cells, and one `<tr>` per row. Put `class="num"` on both the `th` and the `td` of numeric columns. |
| `FOOTER_NOTE` | Data source and as-of date. |
The chart takes a JSON spec in the `chart-spec` script block, not markup: you
supply the data and a few knobs, and the bundled renderer owns the pixels. It
runs entirely offline without libraries or a publish-time runtime.
## The chart spec
```json
{
"type": "line",
"x": { "label": "Month" },
"y": { "label": "USD", "min": null, "max": null },
"series": [{ "name": "Revenue", "points": [{ "x": "Jan", "y": 1200 }] }]
}
```
- `"line"` (default when omitted) for a trend, `"bar"` for compared magnitudes,
`"donut"` for parts of a whole. Unknown types are invalid, not line fallbacks.
A donut reads `"slices": [{"name": "Product", "value": 1200}]` instead of
`series`. Names must be nonempty strings; numbers must be finite JSON numbers,
not numeric strings or booleans. Donut values must be nonnegative and their
total finite. Zero-valued slices remain in the exact-values table and legend;
an all-zero donut has a visible no-data state and retains its table.
- Every line/bar series needs a nonempty `name` and a `points` array. Every
`x` is a unique, nonempty categorical string; all series must have exactly
the same ordered categories. Categories are evenly spaced, **not a continuous
time scale**. Do not imply proportional elapsed time for irregular samples.
Explicit `y: null` in a line means missing data: it breaks the line, and
isolated observations remain visible. Missing `y` or null bar values are
invalid; never silently convert missing observations to zero.
- `x.label` / `y.label` are optional text captions. Put units in `y.label`:
it also labels tooltip values and the exact table, including for donuts.
The y ticks adapt precision to the scale; exact values retain the complete
JavaScript number string without rounding, grouping, or abbreviation.
- `y.min` / `y.max` are optional finite numbers (`null` also means automatic).
They must be increasing and contain every observation. Automatic domains
include zero and cover both signs; bar bounds must always include zero.
**Narrow line ranges far from zero** - uptime between 97% and 99% - flatten
against a zero baseline: set bounds and disclose the truncation in
`CHART_NOTE`. Bars are category-centered and never silently clipped.
- A malformed spec shows **Invalid chart data**, while empty arrays, all-null
line data, and zero-total donuts show **No data to chart**. Numerically
unrepresentable ranges or slice proportions are rejected visibly instead of
generating broken geometry. It is strict JSON: no trailing commas or comments.
- Bars and donut slices use solid fills. Multiple series and donut slices use
eight distinct categorical colors (`--chart-1` through `--chart-8`), independent
of the page accent and semantic delta colors. All colors follow the live theme
and have print values. Keep the numbered keys and matching legend; lines also
use four repeating dash styles so identification does not depend on color
alone. A single line/bar series uses `--accent` consistently and names itself
in the chart title. Beyond eight series or slices, colors repeat: prefer
separate charts or a table when comparisons become difficult to distinguish.
Do not add hatching as a default substitute for distinct colors and labels.
- A shared text-only tooltip works on pointer hover and keyboard focus, and
Escape dismisses it. Up to 40 marks are individually tabbable; denser charts
use the exact table for keyboard navigation rather than hundreds of tab stops.
The native **Exact chart values** disclosure is generated from the same
validated data, works on touch without hover, and expands during printing
(then restores its prior state). Do not remove it or hand-maintain a duplicate.
Do not give the SVG `role="img"`, which would hide interactive descendants.
- Charts and tables scroll locally on narrow screens. Crowded x ticks are
omitted and long labels abbreviated visually; complete categories remain in
accessible labels, tooltips, and the exact table. Check the final content at
narrow width and in both themes, including keyboard focus and print preview.
- Want a shape the spec doesn't cover? Hand-draw the SVG instead, reusing the
card chrome and tokens; `artifact-diagramming` covers the mechanics.
## Rules that keep a dashboard honest
- **Replace every placeholder, and never invent one.** KPI numbers, table rows,
the zeroed `REPLACE ME` series, the footer's source and date - each comes
from the conversation or its section is removed. A dashboard of plausibleFrom FrauH0lle/mevedel, GPL-3.0.
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Signals
- Stars
- 16
- Forks
- 1
- Open issues
- 0
- Last commit (this folder)
- Oct 9, 2026 (20 days ago)
- Last release
- Oct 22, 2026 (7 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- GPL-3.0
- Repository
- github.com/FrauH0lle/mevedel
- Website
- frauh0lle.github.io/mevedel/
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
artifact-dashboard skill. Agent Mart. https://agentmart.dev/skills/frauh0lle-artifact-dashboard (last updated 2026-10-24)