dashboard-beautify SKILL.md skillA

dashboard-beautify from marielynneblock/arcanum-artifex is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add marielynneblock/arcanum-artifex/dashboard-beautify@v0.0.4

Pins v0.0.4 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
marielynneblock/arcanum-artifex
Path
skills/data-science/dashboard-beautify/SKILL.md
Versions recorded
4
Latest version
v0.0.4, committed Sep 19, 2026
First version recorded
Apr 11, 2026
Size
12,261 bytes
Repository stars
4
License
none declared

Design and build production-grade dashboards and infographics with Dash and Plotly Python: layout strategy, colour semantics, accessibility, and pre-ship validation. Use when creating or beautifying a dashboard, KPI panel, or data infographic. For callback wiring, data-sharing strategy, or Dash app architecture rather than visual design, see the `dash` skill instead.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Data Atelier

Production-grade dashboards and infographics with Dash and Plotly Python.

**Philosophy**: form follows function, colour communicates, every design decision earns its place.
A dashboard is a curated argument made from data — not a chart dump.

**Default target**: production delivery. Optimise for correctness, maintainability, and accessibility
from the start — not as an afterthought.

---

## Before writing any code — establish the brief

1. **What is the primary question this dashboard answers?** The answer must be visible in < 3 seconds.
2. **Who is the audience?** Executive / analyst / operational — determines density, annotation level, interactivity depth.
3. **Single infographic or multi-panel dashboard?** Different layout and scope strategies apply.
4. **What is the data shape?** Time series / categories / relationships / distributions / compositions.
5. **What is the data source and refresh cadence?** Determines caching strategy and performance approach.

If any of these are unanswered, ask before writing code.

---

## Step 1 — Data quality gate

Run this before any design work. A beautiful dashboard built on bad data is worse than no dashboard.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add marielynneblock/arcanum-artifex/dashboard-beautify@sha256:8cc5c40795ddf100

The line at the top of this page pins the label v0.0.4, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_bk3vy2r5ucxmselx.svg)](https://markdownregistry.com/a/art_bk3vy2r5ucxmselx)

4 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 4 versions of this file, between Apr 11, 2026 and Sep 19, 2026, about one every 54 days.

versioncommittedcommitsizeaudit
v0.0.4 latest2026-09-19 5053fb8 12,261 BA view · diff
v0.0.42026-07-10 ffb3400 12,133 BA view · diff
v0.0.42026-05-15 b861afb 11,919 BB view · diff
v0.0.42026-04-11 060c294 12,619 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (12261 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

marielynneblock/arcanum-artifex · 4 stars · license none declared · pushed 2026-09-19 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_bk3vy2r5ucxmselx
GET https://markdownregistry.com/api/v1/resolve?ref=marielynneblock/arcanum-artifex/dashboard-beautify
GET https://markdownregistry.com/api/v1/blob/8cc5c40795ddf100924f40e9cbfa6742319eb567090716e4e592908e7ca6920f

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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