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What you can do with Claudemy

Claudemy is a free, open-source Claude Code skill that researches a topic on the web and builds a course of about 12 two-minute audio lessons with cited sources.

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assafkip/claudemy on GitHub

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What do you want to do?

3 use cases

  • Build a 12-lesson audio course on any topic

    Turn a topic you name into about 12 two-minute audio lessons with cards and cited sources.

    View prompt
    Using the Claudemy skill in the assafkip/claudemy repo, ask Claude Code to teach <topic>. Expected output: about 12 two-minute MP3 lessons, a card per lesson, and a playbook file in the local workspace. Verify that each lesson card links to the pages the research actually read.

  • Build a course from one expert's blog or Substack

    Name a specific expert and get a course built from their own published writing.

    View prompt
    Using the assafkip/claudemy skill, ask Claude Code to teach <topic> from <expert>'s writing. Expected output: a lesson series, cards, and a playbook based on that expert's blog or Substack. Verify that every cited link points to a page the expert published.

  • Map where experts disagree on a topic, as cards

    Get a cited lesson plan and cards that show where practitioners split on a topic.

    View prompt
    Using the Claudemy skill from assafkip/claudemy, ask Claude Code to research <topic> and output the lesson plan and cards. Expected output: a decision-based lesson plan with source agreement counts and cited links. Verify that the cited pages match the claims on each card.

How to use Claudemy

  1. Check you have what it needs: Claude Code with web search; Python 3 with beautifulsoup4 and ffmpeg installed; Optional: an ElevenLabs API key for two-voice audio, otherwise macOS built-in voices are used.
  2. Open assafkip/claudemy on GitHub and read the README and license.
  3. Run /plugin marketplace add assafkip/claudemy in Claude Code.
  4. Run /plugin install claudemy@claudemy in Claude Code.
  5. Install dependencies with pip install beautifulsoup4 and make sure ffmpeg is available.
  6. Optional: set ELEVENLABS_API_KEY for natural two-voice lessons, or skip it to use macOS voices.

These steps come from our top use case, Build a 12-lesson audio course on any topic, which also has a copy-paste agent prompt.

Claudemy alternatives · Best AI repos for Research

About this repo

  • Who it is forSelf-learners and professionals who want a finishable course on a skill or topic they name, built from current web sources and using Claude Code.
  • Why it is hot
  • LanguagePython
  • Sourcegithub.com/assafkip/claudemy · Back to Hot repos

Requirements

  • Claude Code with web search
  • Python 3 with beautifulsoup4 and ffmpeg installed
  • Optional: an ElevenLabs API key for two-voice audio, otherwise macOS built-in voices are used
  • Optional: pandoc if you want a Word copy of the cards
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Questions about Claudemy

What is Claudemy?

Claudemy is a free, open-source Claude Code skill that researches a topic on the web and builds a course of about 12 two-minute audio lessons with cited sources. It is an open-source project on GitHub: https://github.com/assafkip/claudemy.

Who is Claudemy for?

Self-learners and professionals who want a finishable course on a skill or topic they name, built from current web sources and using Claude Code.

What can I do with Claudemy?

3 use cases so far, for example: Build a 12-lesson audio course on any topic; Build a course from one expert's blog or Substack; Map where experts disagree on a topic, as cards. Each has steps and a copy-paste agent prompt.

What do I need to run Claudemy?

Claude Code with web search; Python 3 with beautifulsoup4 and ffmpeg installed; Optional: an ElevenLabs API key for two-voice audio, otherwise macOS built-in voices are used; Optional: pandoc if you want a Word copy of the cards.

What are alternatives to Claudemy?

Other hot AI repos in Research: Scientific Agent Skills, Speaker Mem R1, DSH Council, Evo Bot, AI Engineering Course.

Is Claudemy safe to run?

Deduped does not own, audit or vouch for it. Read the README and license, run it on your own systems first and review every command before you run it.