Data Gouv France
Accesses, downloads, and analyzes French public open data from data.gouv.fr using a specialized Python library and integrated documentation.
The source repository doesn't declare a license. Check its terms before reusing the code.
Key features
- Automated search and retrieval of datasets from the official data.gouv.fr API.
- Built-in local caching system to optimize bandwidth and enable offline data processing.
- Detailed documentation and ready-to-use code examples for high-demand public datasets.
- Smart parsing of French-specific data formats including custom delimiters and decimal separators.
- Seamless integration with pandas for direct loading of datasets into DataFrames.
Use cases
- Building automated data pipelines that require consistent access to updated French administrative datasets.
- Analyzing public health trends or environmental quality reports across French regions and departments.
- Prototyping data science projects using verified public sources without manual cleaning steps.
FAQ
How does it handle specific French data formats?
The skill includes smart parsing logic specifically for French conventions, such as semicolon (;) delimiters, DD/MM/YYYY date formats, and comma (,) decimal separators common in French public datasets.
Is this an interactive plugin with slash commands?
No, this is a library and documentation-based skill. It enables Claude to write and execute Python code using a pre-configured library for data processing, rather than providing interactive chat-based slash commands.
How does this improve my data science workflow?
It eliminates the manual work of searching for datasets, handling encoding issues, and configuring API calls. Claude can use the library to load French public data directly into Pandas DataFrames for immediate analysis.
What does the Data Gouv France skill do?
It provides a specialized Python library and documentation for Claude Code to search, download, and process French public open data from the official data.gouv.fr portal directly within your development environment.
Can I use this skill for offline data processing?
Yes. It features a built-in local caching system that stores downloaded datasets. This optimizes bandwidth and allows Claude to perform data analysis on previously retrieved files even without an active connection.