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🧹 [Automated Documentation Framework] Implement Recursive Localized README Generation#31

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beginwebdev2002 wants to merge 1 commit intomainfrom
feat/generate-readmes-7327004716096360151
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🧹 [Automated Documentation Framework] Implement Recursive Localized README Generation#31
beginwebdev2002 wants to merge 1 commit intomainfrom
feat/generate-readmes-7327004716096360151

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@beginwebdev2002
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🎯 What

This PR introduces a Python automation script (generate_readmes.py) that generates a localized README.md file for every single directory in the repository, and includes the initial generated documentation files.

💡 Why

To ensure 100% architectural transparency and improve code navigability. It adheres strictly to the Mavluda Beauty Brand Style ("Luxury Professional" tone) and includes advanced features such as Mermaid.js architecture diagrams, contextual emojis, breadcrumb navigation, dynamic file registry extraction, and auto-detection of Feature Sliced Design (FSD) layers.

✅ Verification

Tested the python script manually; verified that correct READMEs are built throughout FSD layers without overwriting previously configured markdown entries (e.g., FSD boundaries are correctly labeled Entity, Feature, etc). Tests were skipped in the sandbox environment as it was lacking standard local Node binaries but Git diff shows exactly the targeted files.

✨ Result

The Mavluda Beauty codebase is now fully self-documenting at a directory level, greatly improving the DX (Developer Experience) and maintainability for the architecture team.


PR created automatically by Jules for task 7327004716096360151 started by @beginwebdev2002

- Added `generate_readmes.py` utility script to recursively analyze directories.
- Automatically generated localized `README.md` files for all non-ignored directories.
- Ensured "Luxury Professional" tone (Mavluda Beauty Brand Style).
- Included structured Mermaid.js diagrams, Markdown tables for file registries, and breadcrumb navigation.
- Preserved existing hand-written metadata and integrated FSD layer detection.

Co-authored-by: beginwebdev2002 <102213457+beginwebdev2002@users.noreply.github.com>
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