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Localized reading guide

create-vizPurpose, usage and source

Create publication-quality visualizations with Python. Use when turning query results or a DataFrame into a chart, selecting the right chart type for a trend or comparison, generating a plot for a report or presentation, or needing an interactive chart with hover and zoom.

Source retrieved:

Source repository
anthropics/knowledge-work-plugins
SKILL.md
data/skills/create-viz/SKILL.md
Repository stars
34,049
Repository updated
2026-10-30
Categories
Data
Last collected

License: License file needs review

Workflow excerpts are reading aids, not executable instructions from Codez. No third-party Skill was run to produce this page.

The purpose and workflow passages below are upstream material, organized and translated for reading. They are distinct from the separately labeled Codez editorial analysis.

What this Skill does

Create publication-quality visualizations with Python. Use when turning query results or a DataFrame into a chart, selecting the right chart type for a trend or comparison, generating a plot for a report or presentation, or needing an interactive chart with hover and zoom.

How the upstream workflow works

/create-viz - Create Visualizations

> If you see unfamiliar placeholders or need to check which tools are connected, see CONNECTORS.md. Create publication-quality data visualizations using Python. Generates charts from data with best practices for clarity, accuracy, and design.

Upstream passage · L7 ↗

1. Understand the Request

Data source: Query results, pasted data, CSV/Excel file, or data to be queried Chart type: Explicitly requested or needs to be recommended

Upstream passage · L21 ↗

2. Get the Data

If data warehouse is connected and data needs querying: Write and execute the query

Upstream passage · L30 ↗
Upstream passage · ↗
/create-viz <data source> [chart type] [additional instructions]

Requirements and setup

No short requirements passage was selected from this file. This does not mean the Skill has no dependencies. Check the repository setup instructions and referenced files.

Limits and quality checks

No separate limits passage was selected from this file. This does not mean the Skill is safe for every input or environment. Review the complete source and validate your own result.

Start with a safe trial

  1. Check the supported host and the repository installation instructions. Keep the Skill directory and its referenced scripts, assets and documentation together; SKILL.md alone may omit dependencies.
  2. Give the agent your real input, desired output and acceptance criteria. Invocation syntax and available tools depend on the host; this site does not assume a universal install command.
  3. Try the source workflow in a disposable project or on a copy. Review operations that change files, remote services or billable resources before allowing them.
  4. Validate the output against the source quality checks and your own requirements. A successful trigger or a high repository Star count does not establish a correct result.

Skill format and directory specification ↗

Read further in the source

Translation and scope

This reading guide selects passages from the pinned upstream SKILL.md. Translation is assisted. It is not a complete manual or a claim of tested compatibility. Read the original and its referenced files before use.

This introduction refers to the pinned version below; current repository activity and collection time are shown separately.

Source retrieved
Source commit
2574e29377c7173d0cecffef29a6ecbd7f8ccb5d
Source SHA-256
3b13a9c2c9d2b1d36f9c323d952d93f578216f2094bc80d4be6fd4ccbfe9b77d
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