What is dataviz-craft?

A reference library for designing clear, publication-quality data visualizations. It focuses on choosing suitable chart types and building charts with Vega-Lite, with D3 available for cases Vega-Lite cannot express.

Use it to select charts for rankings, trends, distributions, correlations, flows, and other messages, then implement and review them.

It helps turn a data point into an honest, readable chart instead of choosing a chart type or color scheme by guesswork.

dataviz-craft — Skill for Claude Code by QinghongLin/data2story-skill

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.

Any agent

npx skills add QinghongLin/data2story-skill --skill dataviz-craft

Clone the repo

git clone --depth 1 https://github.com/QinghongLin/data2story-skill

Made for: Claude Code.

Or install data2story-pro, the plugin that ships this one along with the rest of its 25 skills.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/qinghonglin/data2story-skill/dataviz-craft/github.svg)](https://agentmods.dev/skills/qinghonglin/data2story-skill/dataviz-craft)

Your own site

<a href="https://agentmods.dev/skills/qinghonglin/data2story-skill/dataviz-craft"><img src="https://agentmods.dev/badge/skills/qinghonglin/data2story-skill/dataviz-craft/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/skills/qinghonglin/data2story-skill/dataviz-craft"><img src="https://agentmods.dev/badge/skills/qinghonglin/data2story-skill/dataviz-craft.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 135 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,743 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

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.

Model	Per session	Once invoked
Fable 5.1	$0.00135	$0.01743
Opus 5.5	$0.00054	$0.00697
Sonnet 5.5	$0.00027	$0.00349
Haiku 4.5	$0.00014	$0.00174

Measured 2mo ago against content hash ceef4ba5c304, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

dataviz-craft 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 2mo 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/dataviz-craft/SKILL.md · 41 lines

How it starts

The opening of the file, as written. The whole thing — 41 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Dataviz Craft

A shared library for choosing and building charts that carry one idea cleanly. This is not a pipeline stage; it is a reference the Designer reads to pick the right chart type for the message, the Programmer reads to build it as an editorial Vega-Lite spec, and the Auditor/Critic reads to judge whether a chart is honest and legible.

It is the chart-craft counterpart to frontend-design (page/visual identity). For color scales it does not redefine anything — it cross-references frontend-design/references/design_tokens.json data_color_scales. For Vega-Lite mechanics (mount/centering/width:container/scale.zero/labelExpr) it extends data2story-pro/programmer/references/component_implementations.json, it does not duplicate it.

When to use

Designer: before writing a chart_spec per section, name the message's intent (deviation / correlation / ranking / distribution / change-over-time / part-to-whole / magnitude / spatial / flow) and pick a ranked candidate from references/chart_chooser.json. Record the chart type + intent + what to highlight in designer.json. If the chosen type is tagged vega_lite_native: false, flag it for the D3 fallback.
Programmer: implement the chosen type from references/vega_recipes.json (editorial Vega-Lite skeleton), add reference/threshold/label layers from references/annotation_layers.json, apply the de-clutter config from references/axis_label_polish.json, and obey references/encoding_craft.json (area-not-radius, sort-by-value, no dual-axis, colorblind-safe). For a native:false type use references/d3_fallback_recipes.json.
Auditor / Critic: review a chart against the same files — is the chart type right for the stated intent (chart_chooser), does the baseline lie (axis_label_polish zero-baseline rule), is the key datum annotated (annotation_layers), is the encoding accurate and colorblind-safe (encoding_craft, Cleveland–McGill ordering)?

Read the full file on GitHub · 41 lines

Files

What ships with it

6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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.

2mo ago First seen · 41 lines · 135 tokens per session scan A ceef4ba5c304

Subscribe to this mod's changes

dataviz-craft is a skill published in the GitHub repository QinghongLin/data2story-skill (161 stars, last pushed 4mo ago), licensed MIT. It adds 135 tokens to every session and 1,743 once invoked, about $0.0005 per session on Opus 5.5. 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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dataviz-craft next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
dataviz-craftQinghongLin/data2story-skill	Skill	161	4mo ago	MIT	A	135	Claude Code
LDAvisLeoLin990405/r-analytics-skill	Skill	5	2d ago	MIT	A	24	Claude Code, Codex
r-network-vizLeoLin990405/r-analytics-skill	Skill	5	2d ago	MIT	A	23	Claude Code, Codex
ggraphLeoLin990405/r-analytics-skill	Skill	5	2d ago	MIT	A	20	Claude Code, Codex
r-spatial-mappingLeoLin990405/r-analytics-skill	Skill	5	2d ago	MIT	A	24	Claude Code, Codex
cartographyLeoLin990405/r-analytics-skill	Skill	5	2d ago	MIT	A	19	Claude Code, Codex
ggmapLeoLin990405/r-analytics-skill	Skill	5	2d ago	MIT	A	27	Claude Code, Codex