Create a JupyterBook knowledge base from live audio and transcripts.
npx skills add https://github.com/nasqret/live-workshop-skill --skill live-workshop
Please help me install this Agent Skill. Skill: live-workshop Source: https://github.com/nasqret/live-workshop-skill/tree/main Command: npx skills add https://github.com/nasqret/live-workshop-skill --skill live-workshop
The Live Workshop Skill automates turning informal lectures into a structured, searchable knowledge base by creating a JupyterBook scaffold and capturing real-time transcripts with keyword context.
Create a new live-workshop journal for the current session with the given title.
High-intent search queries and answers about installing and using this skill.
To turn lecture transcripts into a JupyterBook knowledge base, the system captures live audio, applies real-time transcription, extracts keywords, and auto-classifies notes into modules with Git-based versioning.
You can automate note-taking during live workshops by capturing real-time audio, generating live transcriptions, and updating a daily journal with auto-classified theory, tools, and exercises modules.
The live transcription workflow requires no external dependencies, running entirely within the current environment to scaffold projects, capture audio, and build the knowledge base.
The best way to organize workshop notes into modules automatically is by using keyword extraction to classify content into theory, tools, and exercises, which updates a living table of contents.
To generate a publishable journal from real-time audio capture, the system scaffolds a project, transcribes the audio, extracts context, and outputs a structured JupyterBook with cross-references.
You should use automated transcription for lectures when immediate note-taking, module classification, and automatic journal updates are valuable for creating a searchable, structured knowledge base.
rollratCapture YouTube live stream audio, transcribe with faster-whisper, and save summaries to Obsidian.
gooseworks-aiCluster support tickets and generate publish-ready help center articles with screenshots placeholders and cross-links.
citadelgradRefactor duplicate Python code into shared utilities and base patterns.
liutao96Transcribe audio files locally using the Whisper CLI with model selection.
