Individual skill
architecture-design
Use only when creating new registrable ML components that require Factory or Registry patterns.
skills/architecture-design/SKILL.md
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- academic-research Repository topic
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SKILL.mdcore · 9,177 bytesSKILL.mdcore · 9,177 bytesSKILL.mdcore · 9,177 bytesSKILL.mdcore · 9,177 bytesSKILL.mdcore · 9,177 bytesSKILL.mdcore · 9,177 bytesexamples/augmentation_example.pyruns · 3,167 bytesexamples/config_example.yamlasset · 2,391 bytesexamples/custom_dataset.pyruns · 1,508 bytesexamples/custom_model.pyruns · 6,269 bytesexamples/pipeline_example.shruns · 5,140 bytesreferences/auto_import.mddoc · 3,437 bytesreferences/code_style.mddoc · 5,357 bytesreferences/factory_pattern.mddoc · 1,481 bytesreferences/registry_pattern.mddoc · 2,576 bytesreferences/structure.mddoc · 4,926 bytes
Read excerpt
# Architecture Design - ML Project Template
This skill defines the standard code architecture for machine learning projects based on the template structure. When modifying or extending code, follow these patterns to maintain consistency.
## Overview
The project follows a modular, extensible architecture with clear separation of concerns. Each module (data, model, trainer, analysis) is independently organized using factory and registry patterns for maximum flexibility.
## When to Use
Use this skill when:
- Creating a new Dataset class that needs `@register_dataset`
- Creating a new Model class that needs `@register_model`
- Creating a new module directory with `__init__.py` factory wiring