litestar-dataclasses

The skill content is coherently aligned with its stated purpose: it documents using Python dataclasses as Litestar transport models with explicit typing and DTO interplay, while advocating separation from persistence concerns. There are no risky data flows, download/execution patterns, or credential/secret handling observed. Overall, the footprint is benign and proportionate to a developer tooling/documentation helper for Litestar dataclasses.