Developed a YAML-based asset data management workflow for the tonkeeper/ton-assets repository, focusing on parsing, validating, and regenerating asset metadata to ensure consistency and alignment with contributor updates. Leveraged Python scripting and YAML configuration to automate the data pipeline, reducing manual intervention and minimizing the risk of data drift. Integrated GitHub Actions to streamline continuous integration and automate governance processes for asset metadata. This work established a structured approach to managing TON asset data, improving data integrity and maintainability. The solution laid the foundation for future automation and contributed to a more reliable and contributor-friendly asset management process.