dataviz SKILL.md skillA

dataviz from xobotyi/cc-foundry is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add xobotyi/cc-foundry/dataviz@git:20260521.aae5685

Pins git:20260521.aae5685 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
xobotyi/cc-foundry
Path
plugins/grafana/skills/dataviz/SKILL.md
Versions recorded
1
Latest version
git:20260521.aae5685, committed May 21, 2026
Size
11,912 bytes
Repository stars
23
License
MIT

Data visualization discipline for monitoring and observability dashboards: chart-type selection by data shape, encoding accuracy hierarchy (position > length > angle > area > color), pre-attentive attributes, Tufte data-ink, color theory (semantic conventions, Viridis, colorblind safety), dashboard layout and information hierarchy (F/Z-pattern, tiering), time-series conventions (baseline, interpolation, dual axes, stacking), observability frameworks (RED, USE, Four Golden Signals, SLO/SLI).…

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 Visualization for Dashboards

A dashboard is a tool for fast, accurate judgement under operational stress. Every visual choice supports that judgement
or undermines it.

## Scope

- **In scope:** chart selection, encoding accuracy, color, layout and hierarchy, time-series conventions, observability
  frameworks (RED, USE, Four Golden Signals, SLO/SLI), anti-patterns, review criteria.
- **Out of scope:**
  - **Grafana JSON, panel options, transformations, variables, library panels** — `dashboards` sibling owns mechanics.
  - **Alert rule definitions** — `alerting` sibling. This skill covers SLO/SLI dashboard structure, not rule firing.
  - **Query syntax** — `promql` / `metricsql` / `logsql` siblings.

## References

- **Perception and encoding** — [`${CLAUDE_SKILL_DIR}/references/perception.md`] Cleveland & McGill hierarchy,
  pre-attentive attributes, Tufte data-ink and chart junk, Stephen Few counterpoint.
- **Color** — [`${CLAUDE_SKILL_DIR}/references/color.md`] Semantic conventions, sequential/diverging/categorical
  palettes, Viridis, colorblind safety, WCAG contrast, dark/light themes, Grafana scheme mapping.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add xobotyi/cc-foundry/dataviz@sha256:50c09d71aeb18cd5

The line at the top of this page pins the label git:20260521.aae5685, 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_acvsf4nb4dvpu6vp.svg)](https://markdownregistry.com/a/art_acvsf4nb4dvpu6vp)

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

Versions

The registry has recorded 1 version of this file, committed on May 21, 2026.

versioncommittedcommitsizeaudit
git:20260521.aae5685 latest2026-05-21 aae5685 11,912 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 (11912 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

xobotyi/cc-foundry · 23 stars · license MIT · pushed 2026-10-31 · branch master

API

GET https://markdownregistry.com/api/v1/artifacts/art_acvsf4nb4dvpu6vp
GET https://markdownregistry.com/api/v1/resolve?ref=xobotyi/cc-foundry/dataviz
GET https://markdownregistry.com/api/v1/blob/50c09d71aeb18cd528191b7a2fd9755ad966743f53eb0a4c419d769c934dde7d

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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Every file in xobotyi/cc-foundry

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