Developed and delivered SLNG integration as a new service within the pipecat-ai/docs repository, enabling speech-to-text and text-to-speech capabilities for community workflows. The work involved backend API integration, updating Markdown-based documentation, and ensuring seamless addition of SLNG to the service catalog. This integration enhanced accessibility and automation options for users, supporting voice-enabled interactions and laying the foundation for broader SLNG adoption. The process included version-controlled changes, cross-repository collaboration, and validation of end-to-end readiness without any major bugs reported. The focus on clear documentation and community management ensured the feature was ready for rollout and easy for users to adopt.