Chart Type Recommender
ListedThis skill recommends optimal chart types based on your data and visualization goals, saving you time and ensuring impactful insights.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill chart-type-recommender -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
jeremylongshore
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
We could not read this skill's source, so none of the checks below were run.
About this skill
What it does
The Chart Type Recommender skill analyzes data descriptions and suggests appropriate chart types for visualization. It can recommend charts like bar, line, pie, scatter plots, or others based on the provided data characteristics. The goal is to help users quickly determine the best way to visually represent their datasets effectively.
When to use it
- You have a dataset but aren't sure which chart type would be most effective for communicating its insights.
- You’re creating a dashboard and need suggestions for visualizing different data points.
- You want to explore various visualization options before committing to a specific chart design.
- You are preparing a presentation and need help selecting the right charts to support your narrative.
Key capabilities
- Recommends appropriate chart types based on data descriptions.
- Supports a variety of chart types (bar, line, pie, scatter plots, etc.).
- Analyzes dataset characteristics to inform recommendations.
Example prompts
- "I have sales data over time; what chart type should I use?"
- "Suggest a chart for comparing market share between different companies."
- “My data shows the relationship between advertising spend and website traffic – what’s a good visualization?”
Tips & gotchas
The quality of recommendations depends on the clarity and detail provided in the data description. Vague descriptions may lead to less accurate suggestions.