GitHub Trending · Oct 27: Agent Skills Framework Takes the Top Spot

There are some new faces on GitHub Trending today. And the number one — the star count is scary.

You mean obra/superpowers, right? Over 244,000 stars, and it gained 800-plus just today.

Yeah, I didn't even see it yesterday. It's like a mountain just popped up out of nowhere.

Well, it's been building up for a while. The point isn't the star count — it's the problem it's trying to solve.

What problem? Isn't it just a skills framework? We've talked about plenty of those in the past few days.

This one's different. It's not just packaging a bunch of skills — it's a whole software development methodology.

Think of it as setting a work discipline for agents. What to do at each stage, who signs off on what.

Wait, so you're saying it's about process, not the tools themselves?

Exactly. Those earlier skill projects solved whether an agent can do the job. This one solves whether it does it reliably.

Now that's interesting. When our team uses agents to write code, the biggest headache is it goes full speed ahead and ends up completely off track.

That's why it blew up today. Plenty of people at big companies have been burned by exactly that.

And it's written in Shell, so the barrier to entry is ridiculously low. Copy a couple of scripts and you're up and running.

No wonder. Over 20,000 forks — that means people aren't just watching, they're actually modifying it.

Right, lots of forks means the community is building on it. That's the real push behind today's ranking.

So who's it for? Small and mid-sized teams, or big companies?

Either works. But I think it's sweetest for teams that want to standardize how agents collaborate.

To sum up, superpowers going viral shows one thing. The agent space has moved from 'can it do the job' to 'does it do it by the book.'

Nice — that line could be the headline.

Okay, number two — HKU has come out with something called DeepTutor. New on the list today at number eight.

From HKUDS. Over 26,000 stars, up 700-plus today. Steady growth.

Lifelong Personalized Tutoring. That phrase alone sounds ambitious.

What it wants to do is simple. Let the AI remember where you are in your learning, then pick up from there.

Isn't that the dream every online education company has been selling for ten years?

Yeah, but it wasn't doable before. Now with long-term memory and agents, it's feasible for the first time.

Look at the 'lifelong' in the name — it's not a gimmick. It models learning as a long-term journey.

So how is it different from those quiz-style AI products?

Quiz apps are one-off Q&A. This one is stateful, across sessions. What you learn today, it remembers tomorrow.

That's huge for students and self-learners. Otherwise you have to reintroduce yourself every time.

And the HKU brand carries a lot of weight in education. That's part of why it made the list today.

I bet they'll be talking to a bunch of education institutions about deployments soon.

Very likely. But one caveat: good memory is a moat; bad memory is a privacy minefield.

That's worth writing down. To sum up, DeepTutor represents AI moving from a tool to a long-term companion.

And there's another one that's a bit wild. A repo called jailbreaks gained 890 stars today.

Let me be clear first. It's just a collection of jailbreak prompts. Don't overthink it.

So why do you think it spiked so hard today?

I think it's emotion-driven. People want to see where the safety boundaries of large models really are.

But is it dangerous for something like this to trend?

Its discussion value outweighs its practical value. People actually working in security treat it as an attack sample library.

Regular users should probably not take it all at face value. Many of those prompts have long been patched by model vendors.

Got it. To sum up, its popularity shows exactly that model safety is still a thorn in everyone's side.

So, Li Bo, do you see any common thread among these three new faces today?

Yeah. Two are extensions of agents, and one is the opposite of agents.

The opposite one is jailbreaks?

Right. superpowers and DeepTutor teach agents to be more reliable. jailbreaks probes how far agents can be pushed.

One builds walls, one tears them down. Put side by side, today's list is pretty dramatic.

So my take is, agent adoption has entered deep waters. Standards and attack-defense will heat up at the same time.

Okay, my must-see picks today are two. If you want to see how to engineer agents, go dig into superpowers.

I'll add DeepTutor. For personal learning, it's worth running yourself. jailbreaks — just watch the show.

Alright, that's it for today. I'm going to dig into superpowers. See you.