What problem does it solve? Long raw transcripts from lectures, meetings, and interviews are hard to read and reuse, especially when they contain encoding issues and speech-to-text misrecognitions. This Skill turns hours of raw recording text into a detailed, structured Markdown document with quotes, sections, and action items. ## Core Features & Use Cases - Automatic encoding handling: Detects UTF-16 and EUC-KR files and converts them to UTF-8 before processing. - Context-based STT correction: Identifies and fixes speech-to-text misrecognitions using topic context, with a transparent correction table in the output. - Type-specific templates: Applies dedicated structures for lectures, meetings, and interviews, enforcing minimum length and at least 10 direct quotes. - Use Case: You have a 3-hour workshop recording exported as a UTF-16 text file. Ask the Skill to organize it, answer four short questions, and receive a 700+ line structured document saved to your project folder, then enriched into your knowledge wiki. ## Quick Start Organize this recording transcript file into a structured meeting document and save it to my inbox.