Transcribe audio lectures into structured markdown notes with PDF slide context.
npx skills add https://github.com/lidge-jun/cli-jaw-skills --skill lecture-stt
Please help me install this Agent Skill. Skill: lecture-stt Source: https://github.com/lidge-jun/cli-jaw-skills/tree/main/lecture-stt Command: npx skills add https://github.com/lidge-jun/cli-jaw-skills --skill lecture-stt
This Skill automates the transcription of audio lectures into structured markdown notes, making it easier to review and study complex material.
Use the lecture-stt skill to transcribe the audio file 'lecture.m4a' with the provided PDF slides 'slides.pdf'.
High-intent search queries and answers about installing and using this skill.
This Skill transcribes lecture audio into structured markdown notes using LLM-based Speech-to-Text with contextual prompting. It processes audio recordings to output organized, page-by-page text by leveraging provided context.
Yes, you can provide PDF slide guides and domain-specific terms to improve transcription accuracy. The LLM uses this contextual prompting to correctly format mathematical formulas and structure the generated lecture notes.
Yes, the tool supports local Whisper as a fallback engine for speech-to-text transcription. It primarily leverages Gemini and OpenAI models but switches to local processing to maintain flexibility and accurate output.
The best way to convert a 2-hour university lecture recording into detailed notes is using an LLM-based transcription tool. It transforms long audio files into structured markdown content with correctly formatted mathematical formulas.
An internet connection is required for LLM-based transcription using Gemini or OpenAI. However, you can transcribe audio offline by falling back to the local Whisper engine for generating your markdown lecture notes.
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