How are optional dependencies managed?

The skill provides templates for [project.optional-dependencies] in pyproject.toml and shows how to use guarded imports in your code to handle missing extras gracefully.

Does it support different Keras backends?

Yes, the standard CI matrix provided by the skill is pre-configured with the torch backend for Keras, which is common in BayesFlow environments.

How does this skill handle API visibility?

It enforces that every public symbol is included in both the import and the __all__ list within __init__.py, ensuring they are visible to IDE auto-completion and 'from package import *' statements.

What is the benefit of the src-layout used by this skill?

The src-layout prevents the package from being imported from the root directory, which ensures that tests run against the actually installed package and avoids common import errors.

BayesFlow Package Manager

Name: BayesFlow Package Manager
Author: matthiaskloft

bymatthiaskloft

0•

Data Science & ML

Streamlines the creation and maintenance of BayesFlow extension packages with standardized structures and API export management.

The bayesflow-packaging skill provides specialized guidance for developers building extensions within the BayesFlow ecosystem. It enforces a professional src-layout convention, automates the management of __all__ exports for consistent public APIs, and provides production-ready templates for pyproject.toml and GitHub Actions. This skill is essential for ensuring that new BayesFlow modules are correctly versioned, dependencies are properly handled via optional extras, and CI/CD pipelines are configured for the specific requirements of Bayesian modeling and Keras-based workflows.

Key Features

010 GitHub stars

02Provides pyproject.toml templates for ML dependencies

03Configures GitHub Actions CI matrices for Keras/Torch

04Automates public API exports via __all__ management

05Enforces standardized src-layout for Python packages

06Implements dynamic version detection with editable-install fallbacks

Use Cases

01Configuring optional dependency groups for specialized calibration or notebook features

02Bootstrapping a new BayesFlow extension package with correct directory structures

03Adding new public functions or classes while ensuring visibility in IDEs and imports

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

Key Features

010 GitHub stars

02Provides pyproject.toml templates for ML dependencies

03Configures GitHub Actions CI matrices for Keras/Torch

04Automates public API exports via __all__ management

05Enforces standardized src-layout for Python packages

06Implements dynamic version detection with editable-install fallbacks

Use Cases

01Configuring optional dependency groups for specialized calibration or notebook features

02Bootstrapping a new BayesFlow extension package with correct directory structures

03Adding new public functions or classes while ensuring visibility in IDEs and imports

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