What layout does this skill use for Python packages?

It enforces the src-layout convention, which places source code in a src/ directory to ensure tests run against the installed package rather than local files.

Why is __all__ management prioritized in this skill?

Defining __all__ in __init__.py is critical for controlling the public API, ensuring that only intended symbols are visible to users and IDE auto-completion.

How does the skill handle optional dependencies?

It uses a guarded import pattern with try-except blocks, allowing features to fail gracefully with helpful installation instructions if the user hasn't installed the required extra.

What Python versions are supported by the CI template?

The standard CI matrix included in this skill supports Python 3.11, 3.12, and 3.13, aligned with modern BayesFlow requirements.

BayesFlow Packaging Specialist

Name: BayesFlow Packaging Specialist
Author: matthiaskloft

bymatthiaskloft

0•

데이터 과학 및 ML

Standardizes the creation and management of BayesFlow extension packages using best practices for Python structure and API exposure.

This skill provides comprehensive guidance for developing and maintaining BayesFlow extension packages, ensuring they adhere to the modern src-layout convention. It automates the configuration of pyproject.toml, manages public API exports via __all__ in __init__.py, and implements robust versioning patterns using importlib.metadata. By enforcing consistent CI/CD pipelines and handling optional dependencies with guarded imports, it helps developers build professional, stable extensions that integrate seamlessly with the BayesFlow machine learning ecosystem.

주요 기능

01Automated src-layout package structure enforcement

02Strict __all__ management for consistent API visibility

03Standardized pyproject.toml configuration for Python 3.11+

04Guarded import patterns for optional dependency extras

05Pre-configured GitHub Actions CI matrix for multi-version testing

060 GitHub stars

사용 사례

01Initializing a new BayesFlow extension with standard library structure

02Managing public API exports to ensure IDE discoverability and clean imports

03Setting up automated testing and linting workflows via GitHub Actions

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add matthiaskloft/claude-skills bayesflow-packaging

For use in Claude.ai and ChatGPT

주요 기능

01Automated src-layout package structure enforcement

02Strict __all__ management for consistent API visibility

03Standardized pyproject.toml configuration for Python 3.11+

04Guarded import patterns for optional dependency extras

05Pre-configured GitHub Actions CI matrix for multi-version testing

060 GitHub stars

사용 사례

01Initializing a new BayesFlow extension with standard library structure

02Managing public API exports to ensure IDE discoverability and clean imports

03Setting up automated testing and linting workflows via GitHub Actions

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add matthiaskloft/claude-skills bayesflow-packaging

For use in Claude.ai and ChatGPT