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Agent skill

Dataviz

by codewhale-hq in codewhale-hq/Codewhale

Choose and produce an appropriate chart/dashboard/visual explanation from data, with legible encodings and source/assumption notes.

MITAuto-check passedData & Analytics

Install Dataviz

skills CLI
$ npx skills add codewhale-hq/Codewhale --skill dataviz -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install codewhale-hq/Codewhale dataviz --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/codewhale-hq/Codewhale.git skills-src && mkdir -p .claude/skills && cp -r skills-src/crates/tui/assets/skills/dataviz .claude/skills/dataviz && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
dataviz
GitHub stars
41k
Token cost
~144 tokens
SKILL.md length
59 words
Files
1
Skills in repo
63
Repo updated
First seen
Licence
MIT

At a glance

Choose and produce an appropriate chart/dashboard/visual explanation from data, with legible encodings and source/assumption notes.

  • Works in 4 steps: Inspect the data and questions. → Choose encodings for the comparison at… → Produce the visual with… → …
  • Tasks that involve Data visualization
  • SKILL.md covers When to use, Non-goals and Workflow
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Dataviz is an agent skill from codewhale-hq/Codewhale. Choose and produce an appropriate chart/dashboard/visual explanation from data, with legible encodings and source/assumption notes.

Its SKILL.md is about 140 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Data & Analytics, covering Data visualization. The repository describes itself as: Open-source coding agent for your terminal, built in Rust and on a journey of continuous community improvement. Issues and PRs welcome. The licence is MIT.

When your agent uses it

  • Tasks that involve Data visualization

Example prompts

  • “/dataviz”

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Inspect the data and questions.
  2. Choose encodings for the comparison at hand.
  3. Produce the visual with source/assumption notes.
  4. Sanity-check axes, units, and missing values.

What it can do on your machine

Read from SKILL.md and the folder at commit fead51e. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Dataviz loads about 144 tokens when it runs. Until then it costs about 35 tokens; SKILL.md has 59 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~35
When it runs · the whole SKILL.md, loaded when a task matches
~144

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from codewhale-hq/Codewhale at commit fead51e, republished under its MIT licence (© codewhale-hq). 59 words, ~144 tokens.

Download SKILL.mdSave it as .claude/skills/dataviz/SKILL.md (or your agent's skills folder).
name
dataviz
description
Choose and produce an appropriate chart/dashboard/visual explanation from data, with legible encodings and source/assumption notes.
invocation
model+user

Dataviz

When to use

Use when the user needs a chart, dashboard, or visual explanation of data.

Non-goals

  • Do not choose chart types that hide uncertainty.
  • Do not invent data.

Workflow

  1. Inspect the data and questions.
  2. Choose encodings for the comparison at hand.
  3. Produce the visual with source/assumption notes.
  4. Sanity-check axes, units, and missing values.

© codewhale-hq, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in crates/tui/assets/skills/dataviz of codewhale-hq/Codewhale.

Open the folder on GitHubat commit fead51e

Compare with similar skills

Dataviz next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Dataviz compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Dataviz this skillcodewhale-hq/Codewhale41k—~144Automated safety check: PassMIT
MatplotlibzLanqing/codex-claude-academic-skills4.6k18 repos~2.9kAutomated safety check: PassMIT
Chart Visualizationbytedance/deer-flow83k2 repos~840Automated safety check: PassMIT
Scientific Visualizationmims-harvard/OptimusKG14619 repos~6.3kAutomated safety check: PassMIT
SeabornzLanqing/codex-claude-academic-skills4.6k16 repos~4.9kAutomated safety check: PassBSD-3-Clause
Plot From DataTrae1ounG/paper-plot-skills8661 repos~583Automated safety check: PassNone

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Categories

Questions about Dataviz

What does Dataviz do?

Choose and produce an appropriate chart/dashboard/visual explanation from data, with legible encodings and source/assumption notes. Dataviz is an agent skill from codewhale-hq/Codewhale. Choose and produce an appropriate chart/dashboard/visual explanation from data, with legible encodings and source/assumption notes.

When should I use Dataviz?

Dataviz fits situations like: tasks that involve Data visualization.

How do I install Dataviz in Claude Code?

Run `npx skills add codewhale-hq/Codewhale --skill dataviz -a claude-code`. Or copy the skill folder (crates/tui/assets/skills/dataviz in codewhale-hq/Codewhale) into .claude/skills/dataviz in your project. Claude Code loads it when a task matches its description.

How do I install Dataviz in Codex?

Run `npx skills add codewhale-hq/Codewhale --skill dataviz -a codex`. Or copy the skill folder (crates/tui/assets/skills/dataviz in codewhale-hq/Codewhale) into .agents/skills/dataviz in your project. Codex loads it when a task matches its description.

Can I use Dataviz in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add codewhale-hq/Codewhale --skill dataviz -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/dataviz, .gemini/skills/dataviz, .github/skills/dataviz and .opencode/skills/dataviz in your project.

What does Dataviz need to run?

SKILL.md names no scripts, command-line tools or credentials: Dataviz is instructions for the agent only.

Does Dataviz access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Dataviz safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Dataviz use?

Dataviz is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Dataviz use?

About 144 tokens (SKILL.md is roughly 576 characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Dataviz?

Skills that share tags, products or a category with Dataviz: Matplotlib (zLanqing/codex-claude-academic-skills, 4.6k stars), Chart Visualization (bytedance/deer-flow, 83k stars), Scientific Visualization (mims-harvard/OptimusKG, 146 stars) and Seaborn (zLanqing/codex-claude-academic-skills, 4.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Dataviz?

codewhale-hq (a GitHub organization) maintains it in codewhale-hq/Codewhale, which has 41,079 GitHub stars. The repository holds 63 skills in this directory. The repository was last updated on October 8, 2026.

Source: codewhale-hq/Codewhale on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.