data-visualization

data-visualization is a skill for Claude Code, Codex from dylantarre/animation-principles. It costs 24 tokens per session (961 once invoked), scanned A, original, MIT.

A guide for animating charts, graphs, dashboards, and other data visualizations. It applies twelve established animation principles while keeping data relationships and values clear.

In plain words
What is it for?
It is for planning loading reveals, value transitions, chart updates, labels, bars, pie slices, bubbles, and other animated data displays.
Why use it?
It helps data changes and chart elements draw attention without making the information difficult to interpret.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/dylantarre/animation-principles/data-visualization
Any agent
npx skills add dylantarre/animation-principles --skill data-visualization
Clone the repo
git clone --depth 1 https://github.com/dylantarre/animation-principles

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for data-visualization

README.md
[![agentmods](https://agentmods.dev/badge/skills/dylantarre/animation-principles/data-visualization.svg)](https://agentmods.dev/skills/dylantarre/animation-principles/data-visualization)
Your own site
<a href="https://agentmods.dev/skills/dylantarre/animation-principles/data-visualization"><img src="https://agentmods.dev/badge/skills/dylantarre/animation-principles/data-visualization.svg" alt="Measured on agentmods" height="20"></a>
Per session 24 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 961 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00024 $0.00961
Opus 5 $0.00012 $0.00481
Sonnet 5 $0.00005 $0.00192
Haiku 4.5 $0.00002 $0.00096

Measured 4d ago against content hash 0b51ecfeeaf8, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

data-visualization scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/01-by-domain/data-visualization/SKILL.md · 97 lines

How it starts

The opening of the file, as written. The whole thing — 97 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Data Visualization Animation

Apply Disney's 12 animation principles to charts, graphs, dashboards, and information displays.

Quick Reference

Principle Data Viz Implementation
Squash & Stretch Bar overshoot, elastic settling
Anticipation Brief pause before data loads
Staging Sequential reveal, focus hierarchy
Straight Ahead / Pose to Pose Streaming vs snapshot data
Follow Through / Overlapping Staggered element entry
Slow In / Slow Out Smooth value interpolation
Arc Pie chart sweeps, flow diagrams
Secondary Action Labels following data points
Timing Entry 300-500ms, updates 200-300ms
Exaggeration Emphasize significant changes
Solid Drawing Consistent scales, clear relationships
Appeal Satisfying reveals, professional polish

Principle Applications

Squash & Stretch: Bars can overshoot target height then settle. Pie slices expand slightly on hover. Bubbles compress on collision. Keep total values accurate—animation is transitional.

Anticipation: Brief loading state before data appears. Slight shrink before expansion. Counter briefly pauses before rapid counting. Prepares user for incoming information.

Staging: Reveal data in meaningful sequence—most important first. Highlight active data series. Dim unrelated elements during focus. Guide the data story with motion.

Straight Ahead vs Pose to Pose: Real-time streaming data animates continuously (straight ahead). Dashboard snapshots transition between states (pose to pose). Match approach to data nature.

Follow Through & Overlapping: Data points enter with staggered timing. Labels settle after their data elements. Grid lines appear before data. Legends animate with slight delay.

Slow In / Slow Out: Value changes ease smoothly—no jarring jumps. Use d3.easeCubicInOut or equivalent. Counter animations accelerate then decelerate. Progress bars ease to completion.

Arc: Pie charts sweep clockwise from 12 o'clock. Sankey diagram flows follow curved paths. Network graphs use force-directed arcs. Radial charts expand from center.

Read the full file on GitHub · 97 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 4d ago First seen · 97 lines · 24 tokens per session scan A 0b51ecfeeaf8

Subscribe to this mod's changes

data-visualization is a skill published in the GitHub repository dylantarre/animation-principles (79 stars, last pushed 8mo ago), licensed MIT. It adds 24 tokens to every session and 961 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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