cva-setup-interop
Python interoperability setup using libpython-clj for Clojure agent development. Includes Python environment configuration, module importing strategies, data type conversion between Python and Clojure, NumPy/Pandas/HuggingFace integration, virtual environment setup, and performance optimization. Use when integrating Python ML libraries, setting up data science workflows, troubleshooting Python interop issues, working with NumPy arrays or Pandas DataFrames, or calling HuggingFace transformers from Clojure.
Installation
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
View source ↗GuidesSkill instructions
Features and purpose
Python interoperability setup using libpython-clj for Clojure agent development. Includes Python environment configuration, module importing strategies, data type conversion between Python and Clojure, NumPy/Pandas/HuggingFace integration, virtual environment setup, and performance optimization. Use when integrating Python ML libraries, setting up data science workflows, troubleshooting Python interop issues, working with NumPy arrays or Pandas DataFrames, or calling HuggingFace transformers from Clojure.
Quick start
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
Guides ↗Examples
Read the usage examples in the source repository.
View source ↗Source history
- Indexed on
- 2026-01-21
- Index updated
- 2026-01-26
- Branch
- main
Index and sync dates describe this directory. View the source repository for code history.
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