Developed the Markdown Text Chunker Plugin for the langgenius/dify-plugins repository, focusing on intelligent markdown processing with preserved heading hierarchies and hybrid chunking strategies. The solution incorporated configurable heading levels, metadata injection, and atomic unit protection for complex elements such as tables and formulas, all implemented using Markdown and plugin development skills. Optional LLM-based enhancements were integrated to support advanced text processing needs. Addressed build stability by updating custom icons and resolving CI errors, resulting in a more reliable deployment pipeline. Comprehensive documentation and packaging preparations established a robust foundation for scalable content segmentation and future markdown tooling enhancements.