There's a neat little experiment doing the rounds right now: a free Claude skill that takes one sentence — whatever you want to learn — and turns it into a two-minute audio lesson built from what real experts have already written on the subject.
If you've ever stared at a doorstop of a book or a marathon video course and quietly closed the tab, this is aimed squarely at you. You type a topic. You get a short listen. That's the deal.
What happened
A Reddit user posting as u/ColdPlankton9273 wanted to learn about consulting — but from actual experts, not from random threads. The problem: they don't learn by reading. They learn by listening to short audio lessons.
So they built the thing they wanted. It's a Claude skill, assembled with Claude Code, and it runs the whole research-and-teach loop for you. You give it a topic. It hunts down people who genuinely blog, publish and research in that field. It scrapes their open writing — blogs, books, research. Then it pulls everything into a manual aimed at the exact thing you asked about.
From there, two more tools take over: NotebookLM shapes the material into podcast-style lessons, and ElevenLabs voices a two-minute podcast conversation, plus a slide you can read along with. The whole kit is shared free on GitHub, with the link posted in the first comment of the original thread.
How the pipeline works, in plain English
Three tools, three jobs — think of it as a tiny production studio:
• Claude (the researcher and writer). Claude is Anthropic's AI assistant. A "skill" is just a saved set of instructions that tells it how to behave — like a recipe card you hand a very fast cook. This skill's recipe says: find experts, read their public work, write me a manual on my topic.
• NotebookLM (the lesson builder). Google's NotebookLM takes a pile of documents and turns them into a podcast-style audio overview. Here, it's what makes the lesson sound like a conversation instead of a robot reading a list.
• ElevenLabs (the voice). ElevenLabs generates realistic speech. In this setup it produces the two-minute podcast conversation and the companion slide.
The clever part isn't any single tool. It's the chain. Each one picks up where the last one stopped, and you never have to touch the raw material yourself.
What it means for you
The headline change is simple: research stops being a chore you avoid and becomes something you can do with your ears while doing something else. Here's how that plays out in real life.
At home
Say you're renovating a kitchen and keep hearing conflicting advice about moisture barriers. Instead of doom-scrolling forums for an hour, you feed the topic in and get a two-minute primer drawn from people who actually write about building science. You listen while you're making dinner, then decide what's worth digging into next.
At work
New industry, new jargon, a manager who says "we're going agile" and assumes everyone knows what that means. You can build a short audio briefing before a Monday meeting and walk in with real context instead of nodding along. It's a confidence tool as much as a study tool.
Running a business
Small business owners wear ten hats. You don't need a semester on pricing psychology — you need the practical core, the part that actually shifts customer behavior within a few weeks. This format is built for that: narrow topic, expert sources, two minutes, on repeat for a week.
Studying
Students already live inside their headphones. Turning a lecture topic into a short audio recap means revision happens on the bus, at the gym, in line for coffee. It won't replace your textbook, but it makes the first pass through unfamiliar material far less painful — and the second pass easier to start.
If you want more free AI tools to pair with this — summarizers, image generators, writing helpers — there's a solid free collection at MyKreatool worth bookmarking.
Creative projects
Writers and filmmakers need texture: how a real hostage negotiator talks, what a commercial kitchen actually sounds like at 7 p.m. on a Saturday. Two-minute expert lessons are a fast way to load up on specifics you'd otherwise fake badly.
Earning from it
Anyone who teaches — coaches, consultants, course creators — can flip this around. Learn a niche fast, then teach it. Or hand a client a short custom audio briefing as part of onboarding. It costs nothing beyond the setup, and it makes you look like the person who's read everything.
How to try it right now
Free option first, because that's how it was released.
1. Grab the free skill from GitHub. The project was shared at no cost, and the link sits in the first comment of the original Reddit post by u/ColdPlankton9273. No paywall, no signup funnel.
2. Make sure you have Claude Code. The skill was built with it, so that's its natural home. Claude Code is Anthropic's developer-oriented tool — you'll need access to it, and Anthropic's own plans apply.
3. Add the skill to your Claude setup. The repo's instructions tell you exactly where the file goes. It's a copy-paste job, not an engineering project.
4. Type your topic in one plain sentence. "I want to learn consulting." "Teach me the basics of commercial lease negotiation." Specific beats broad — the skill works better when your ask has edges.
5. Let Claude find the experts and write the manual. This is the slowest step. It's searching, reading and compiling, so give it a few minutes.
6. Hand the output to NotebookLM for the podcast-style lesson. If you already use NotebookLM, this will feel familiar — same idea, new material.
7. Let ElevenLabs cut the two-minute podcast conversation. You also get a slide to read from, so you can listen first and skim after.
8. Listen, then ask follow-up questions. The real payoff is the second question. The first lesson just tells you what you don't know yet.
If you'd rather not set up a whole pipeline
Open NotebookLM on its own, upload a handful of good articles on your topic, and generate the audio overview. It's free, it takes a few minutes, and it gets you most of the way there. Come back to the full Claude skill when you want the automatic expert-hunting and the two-minute cut.
Upsides and what changes
The biggest shift is friction. Right now, most learning journeys go: interesting question → open 14 tabs → get distracted → close 14 tabs. This collapses that into one sentence and one listen.
Second, it's source-first. Because the skill goes looking for people who actually publish in a field, you're not getting a generic AI summary of everything ever written — you're getting a summary pointed at named expertise.
Third, two minutes is a feature, not a bug. Long content gets postponed. Short content gets finished. Stack ten of these over a week and you're genuinely oriented in a subject, which is usually what you needed anyway.
And because the skill is free and open on GitHub, it's a starting point. Swap NotebookLM for a different tool, change the lesson length, point it at a narrower set of experts — it's yours to bend.
Limitations
Be clear-eyed about this one: it's a clever community project, not a polished product. It leans on scraping openly published material, which raises genuine questions about copyright and credit — experts who write for a living may not love being repackaged, and attribution isn't guaranteed in the output. Two minutes is also shallow by design; complex fields still need the original sources, and you should read them before making big decisions. Quality depends entirely on who the skill finds, so a thin niche produces thin lessons. And it's a chain of three separate services — Claude Code, NotebookLM and ElevenLabs — each with its own accounts and limits, so one hiccup breaks the run. Treat it as a fast first pass, not a finished education.
Conclusion
What's interesting here isn't the technology — every piece of it already existed. It's that someone with a specific learning style got tired of waiting for a product and assembled one themselves. Free on GitHub, built with Claude Code, powered by NotebookLM and ElevenLabs, producing two-minute expert audio lessons from a single sentence.
Your one action today: open the original Reddit thread, find the GitHub link in the first comment, and type one topic you've been meaning to learn into Claude. That's it. The pipeline handles the rest — and even if you only ever listen to the first two-minute lesson, you'll know within a day whether this fits how you learn.
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