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How to let Claude Code run the whole lecture pipeline with Lecture to Notes

Install the repo as a Claude Code skill so the agent drives every stage and writes the final notes.

  • Research
  • Advanced
  • 2 hours
  • From the README
  • Claude Code

Who it is forA researcher who wants polished notes from conference talks without babysitting scripts.

The problemRunning a dozen pipeline stages by hand is tedious.

The outcomeAgent-driven notes where every claim links to a transcript moment and slide.

What you need first

  • Python with the requirements files
  • A GPU for local Whisper transcription
  • Ollama with minicpm-v:8b for optional slide semantics
  • An LLM for the final synthesis stage

Steps

  1. Copy the repo tree into ~/.claude/skills/lecture-to-notes/
  2. Set up requirements and config.yaml
  3. Ask Claude Code to process a material folder
  4. Review the audit output for unsupported claims

Prompt for your agent

Using the lecture-to-notes skill, process <folder> into notes and the HTML viewer. Report any claims audit_note.py flagged and confirm each summary point cites a timestamp.

Caveat. Stages 0 to E run standalone, but the final prose synthesis needs an LLM.

Use this in your AI agent

Ask your agent

Using the Deduped MCP, get the setup steps for drpwchen/lecture-to-notes and "Let Claude Code run the whole lecture pipeline"

Add Deduped to Claude Code once

claude mcp add --transport http deduped https://dedupedai.com/mcp

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