Developed a feature for the tqec/tqec repository enabling user-defined quantum circuits through plaquette generation from RPNG strings. Focused on robust input validation and implemented a dedicated function to convert RPNG strings into circuit plaquettes, laying the foundation for extensible circuit definitions. Introduced new classes and comprehensive tests for both RPNG and RAPNG descriptions, supporting future enhancements and ensuring code reliability. The work emphasized circuit generation, data structures, and error handling, leveraging Python and Jupyter Notebook for development and testing. No major bugs were addressed during this period, as efforts centered on feature delivery, test coverage, and code quality.