Create Viz
Turns data into publication-ready charts using matplotlib, seaborn, or plotly. Give it query results, a CSV, or pasted data and it picks the right chart type (line for trends, bars for comparisons, heatmaps for matrices) or uses what you specify. The workflow handles the full cycle: querying if needed, cleaning data into DataFrames, generating the visualization with proper formatting, and saving as PNG. What's nice is the opinionated design layer. It applies actual best practices like starting bar chart axes at zero, formatting large numbers as "1.2M" instead of "1200000", and sorting categories by value instead of alphabetically. The code it produces is readable Python you can modify yourself.
- skills.sh installs
- 5.3K
- GitHub stars
- 35.3K
- last updated
- Aug 21, 2026
Install
$ npx -y skills add anthropics/knowledge-work-plugins --skill create-viz --agent claude-codeInstalls into .claude/skills of the current project.
Files
/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.
Usage
/create-viz <data source> [chart type] [additional instructions]
Workflow
1. Understand the Request
Determine:
- Data source: Query results, pasted data, CSV/Excel file, or data to be queried
- Chart type: Explicitly requested or needs to be recommended
- Purpose: Exploration, presentation, report, dashboard component
- Audience: Technical team, executives, external stakeholders
2. Get the Data
If data warehouse is connected and data needs querying:
- Write and execute the query
- Load results into a pandas DataFrame
If data is pasted or uploaded:
- Parse the data into a pandas DataFrame
- Clean and prepare as needed (type conversions, null handling)
If data is from a previous analysis in the conversation:
- Reference the existing data
3. Select Chart Type
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- Repository
- github.com/anthropics/knowledge-work-plugins
- Categories
- Code Review & Quality, Python, Office & Documents
- First seen
- Apr 16, 2026
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- Update5K
- Ux Copy5K
- Start5K
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- Slack Messaging4K
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- Validate Data3.9K
- Seo Audit3.8K
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- Write Spec3.7K
- Reconciliation3.7K
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