Technical Subtitle Refiner
Corrects speech-to-text errors in technical subtitle files while strictly preserving original timestamps and sequence structure.
This skill specializes in cleaning up AI-generated .srt files, particularly for technical domains such as programming, machine learning, and software development. It employs an interactive workflow that requests domain-specific terminology from the user to ensure high-accuracy phonetic corrections (e.g., fixing 'LangChain' when recognized as 'Luncheon'). By strictly enforcing timeline preservation and sequence integrity, it ensures that corrected subtitles remain perfectly synchronized with the original video content. It is particularly effective for bilingual (English/Chinese) technical courses and includes automated validation tools and HTML diff reports for easy review.