Free CapCut, marketing tools, and all of github’s top 10 repos

0:00I've got a free version of Cap Cut that you can install yourself and have work beautifully. If you're installing Skills, you've got to see the antivirus that Nvidia created. It will save your computer. Everyone's trying to figure out how to watch soccer for free. Well, guess what? There are television channels all over the world for free on the internet. But how are you going to find them? Well, I've got a repo that will put them on your computer like

0:18that. And is there a leak of Fable 5? Tune in. I've got the top 10 repos of the week and so much more. Chapter links below and a full download of everything I'm showing you in the description. presented by Zapier, the AI automation company. All right, Adam, you're back. We got a whole bunch of repos this week, but this week I want to start off with something different. I want to start with three hidden gems that I think everyone needs to know about. And the

0:43first one is this marketing skills repo. I think it's freaking phenomenal. It is built by Corey Haynes. He is someone who's been a marketer for years who basically took all the things that he does to grow a business and he put them into the set of skills. I tested it with him in an interview. They work so simply and they're so freaking effective and he keeps improving them and I really want to draw attention to them because I think that too many people who are looking at GitHub are also not thinking about marketing and they're missing this

1:12and that's why I wanted to highlight it. Man, I I couldn't agree more. I think a lot of these uh like soloreneurs like they're building awesome products and they're very product growth centered and oh, I could change this, I could build this. And what they're missing often if if you're one person in a business is you don't know how to run ads. You don't know how to improve your SEO. You don't know how to do cold emails to your clients. And the reason that you could be this like soloreneur now is with a set of skills like this, you could do probably an eight out of 10 job on all

1:44of those other things that you need to make the business successful with really not a lot of effort and basically no money. And it it turns marketing into an engineering exercise that just works. You can tell it build me SEO sites. Build me uh onboarding flows. And I tested it with him. It works beautifully. And here you can see this is just from Thursday. He says I uploaded SLSocial. So he also has social marketing. Instead of post more, it asks which 10 posts should you comment on today? You it maintains a list of sources. Really effective. Let's look at the next one. This is from a past uh

2:17past person who had his skills repo be one of the top 10. We've talked about him in the past. We blew past one of his skills called uh teach. Let me show you this in his repo. You can see here, this is a collection of skills that he uses to make himself into a better engineer. And so you see the engineering skills here to make himself into a better person. So he's got his personal ones and also to increase productivity. And there's one here called teach that he tweeted about that I want I want to just highlight here. And I have a note for myself um to go to 3 minutes and 40

2:49seconds where you can see this is what it looks like. And this is really the core of what makes this such a good learning experience. And here is my first lesson anatomy notation. And and it creates HTML docs with each lesson as he just showed and this is him using it to learn how to

3:06use a Rubik's cube. Basically teaches you just what you need to know at that moment. It gives you diagrams. It gives you very simple explainers. gives you call outs and it gives you quizzes, too. One thing I find really important whenever you're teaching anything is to develop a feedback loop. And quizzes are okay at this. They're basically good if you

3:25can't find any richer feedback loop. Again, if we zoom down this, we've got notations, we've got traps, we've got Okay. And he's just showing how he learned the Rubik's Cube. And one of the reasons why he has this here is to show that there's some skills that he has that will remember what you've done. Stateful versus stateless. And this is an example of that. Any thoughts on

3:45this? I I love the learning especially because it creates multiple modules there. So you can actually go through one of the modules, you know, one of those HTML files and then you could go back to the agent and say, "Hey, I learned this. I think this. I have these questions." And the rest of the modules could actually change them as a result. You can update this stuff as it's going. It's like, oh, I've learned this or I I'm this is cool, but I'd like to learn about this use case instead. And the learning is like really dynamic then compared to, you know, you could find a course on how to

4:19solve a Rubik's cube online, but it's not going to be tailored to what you already know and it's not going to keep up with you as you learn. It's pretty formulaic. So, I I love this sort of thing. Uh, and I think you should be using it if you are vibe coding out there. You know, I don't I don't think people put enough focus on, well, why

4:36did my agent choose these technologies? Why did it choose this architecture? What are the options? I would be using this slasheach skill on my own repositories and on my own apps that I'm deploying to say, hey, tell me about how these work, how they're created, and like wow, when I come back to it to work on it again, like I'm going to know exactly how the things work. I'm going to make better decisions the next time around because I'm learning from my own successes and failures as as I build out

5:02apps. The more I get to know his work, the more I like him and I like his work and it's available for everyone there. Last hidden gem. This is an open uh a Cap Cut alternative. I like Cap Cut a lot because it simplifies video editing and it makes it powerful. The problem with Cap Cut, not a huge issue for me, but it is a pain in the neck. They charge you for stuff or they try to promote their own things in it. I say not a big issue for me because I live in video. But if you're doing video editing for like family videos, if you're doing video

5:36editing for yourself in a way that you may not want to pay cap cut or maybe you just don't want their software on your computer, which actually is a huge issue for me, this is an open source alternative. It has the features that you need. You can build onto it. You can put it on your device, feel good about it, and it's I'm glad to see it here as one of the hidden gems. And it's actually it's it's not yet at a level where it could reach a top 10. It's got 57 uh thousand stars though, so it is popular. 6.2,000 uh forks, which you've told me to watch out for to get a sense

6:06of real indication and utility. Yeah, these are cool. I mean, I grew up learning Premiere and After Effects and all those, and oh my god, I almost no one is going to learn those like wildly in-depth tools. And you don't need to for almost any content that people are creating today, unless it's a featurelength film, you really don't need the tools like that. So I I love this. I love the competition. I love open source because all those forks, Andrew, each one of those are an opportunity for someone to say, "Oo, I like this tool, but I want it a little different." And we've already talked

6:37about this. You can use agents to customize open source tools. So if you're using Open Cut, you're like, "Ah, I wish it did this instead." That's great. Fork it. put that repository on your own computer and ask Claude to make the changes that you want so that it works in the way you like. That's it's I

6:53mean I love this ecosystem. Okay, let's look now at the number one repo of the week. This is from Apple. Docker Desktop has always felt heavy on a Mac. Apple's own tool runs Linux containers and lightweight VMs built for Apple silicon. This is the GitHub repo. I'll show it in a moment. But first, this is for one of the people at Apple talking about it. One of my personal favorite features announced that WWDC

7:16will I suspect be a sleeper hit. Container machines allowing your Mac to run a lightweight persistent Linux environment. And then someone came in and said, "This existed for a while. It's helpful, but it's nowhere near as flexible as something like Docker." To which he came back in and replied, "Um, container machines are brand new capability this year. They build on the containers. Uh, container support we shipped last year." here goes, "Wait, I didn't read your bio." That's cool,

7:45though. Developer tools and frameworks at Apple. It's Yeah. And then he did start to explain it. Um, at WWDC25, we introduced generalized container support with an open and I'd like for you to explain what this means. Uh, with an open- source containerization framework and container CLI. container machines. Introduce a WWDC26. Extend that enabling a seamless high

8:10integrity Linux environment on a Mac. I'll leave this for people in uh the doc which we'll have a link to in the description. But why are you excited about this? I mean, I have Docker Desktop running on my machine. It crashes a lot. It's slow. It uses a lot of memory. Uh I would love to get out of it. I count me in and the group of people that didn't know about this tool until you introduced it to me here for this show. I was like, "Oh man,

8:35like I think I'm going to love this." Because, you know, we use these machines all the time. If you're building apps, each app probably has its own little container where it gets to run in its environment. It has its own database. And that's the thing that you deploy out to the cloud when you want to share it with with actual customers. And man, Docker is kind of heavy for that. you're running a bunch of copies of Linux. The tool itself is kind of buggy. Uh, so I'm very excited to uh to try this out and see if man if this can't just take

9:05Docker off my machine. All right, I love when you get excited about discovering a new thing. All right, Nvidia Skill Spectre. I've heard this called basically antivirus for skills. We see a skill, we install it, we don't know if there's a problem on it, we just go for it and yolo it. That's the version of uh that's the vision behind this. And you can see here I I can even show how it gets installed on a computer. You can see here a Nvidia skill spectre assessment on Angular where it found a problem that's critical. This is the report it got. And

9:42what do you think of this report here? First of all, I love it. I I think everybody should be a little bit more skeptical of the skills that they're installing because they don't feel like code, but they're code. They can download things on your computer. They can run code. They could copy all your emails if they wanted to if that's what you've given your agent. And so, you should be a little careful when you're downloading all these skills. And you

10:07know, you're not going to read them all. I'm not going to read them all. Having something like this installed where you can run it against all of the skills you've installed on your computer. Like honestly, I think everyone should pause the video for a moment, download this, run it, install it, see what it what it calls out as issues. Now, I think the complaint that's coming up here is that the, you know, this repository maintainer is saying, "Hey, it's calling some things out that that maybe aren't real." But there are places to be skeptical. You know, if it's I almost guarantee you're going to find something

10:39on your computer that this tool says, "Hey, you should look at this." and at the at least look at it. Let's take a look quickly at how it works here. Start using skillspector. Inside the GitHub repo, there's this test folder and inside that they've got some dangerous skills you can actually run it on to confirm the tool works. So, we ran it on these skills. And with every one

10:59of them, it tells you not to install. The higher the score, the more dangerous the skill. And with each test, it doesn't just give you a number. It shows you the exact line number, the exact location, and the file. Okay. Now, this is something that you pointed out to me before. You said, "Well, it's not enough information. The line number is kind of a pain. I wish that they would say what's there and then the remediation is not helpful

11:22because it's it's cut off." Yeah, I don't understand that. That does seem to be how it how it works. My guess here, Andrew, is that there is an interface that you could run this with as well. Or clearly if you had this output and you fed it back into your agent, the agent could build you a beautiful HTML report of exactly what's wrong. The agent has enough information here to run with it. There is a class of person that I think needs to install

11:47this now. And there's a lot of people out there building these marketplaces for skills. I'm going to build a marketplace for marketing skills or sales skills or engineering skills or whatever. and all those people. If you're hosting a marketplace, please install something like this. When a user uploads a skill to share with others, pass it through a system like this that's going to rank it. And if it ranks it as potentially dangerous, you should flag that for review before you encourage other people to download it. I know this is a pretty popular trend now. Uh please like take a little bit of responsibility and and you

12:22know, scan these before you host them. I wonder if I should do this even with our team. You know, if we're starting to share skills, we should be a little bit more careful about what people are sharing. Okay. Next, agent skills. Most AI coding output is sloppy. What this is going to do is it's going to turn your AI output or at least your AI coder from just an intern into a senior disciplined engineer. Um I I don't know, you've taken kind of a skeptical view of these, but also talked about the utility of them. What do you

12:54think of agent skills? Yeah, I you know, kind of like the marketing one we looked at a little bit ago. I think this is a great option to fill in a gap. If you're sitting here and you're vibe coding and you're trying to sell this, maybe you're even making some money now, but you don't have an engineering background. Going to a set of skills like this and almost just using it blindly and trusting the process. He's got a very specific

13:19timeline that he says you move through. You go through define and plan and build and verify and review and ship. And you know what? If you don't have the background, you might not think to move through all those steps. So just installing a skill pack like this and trusting the process is going to make you a better vibe coder, a better builder. And then you know what, Andrew, how about you couple this with that teach skill that we looked at before and you're like, "Oh, why do I do this? And what should I learn from this?" Because a regular engineer mostly is isn't going to need skills like this. They're just

13:48going to do these things by default. Well, you can learn how to do that, too. Go and use the teach skill. All right. I call this a report, but I actually built full-blown websites um to to help guide this extract. Before any non-trivial, the biggest skill in the repo. Before any non-trivial decision stands, your agent spawns a second agent with a clean context to attack it. Claim, extract, doubt, reconcile, stop. Three rounds maximum. The clever part, the reviewer never sees the original conclusion because handing it your answer biases it toward agreement. And my favorite line in the file, if you can't write the claim compactly, you have a vibe, not a

14:33decision. But does any of this fix why agents actually fail? Because they mostly fail from wrong context, not low intelligence. That's what the context engineering skill targets. Okay. And so it's a collection of skills. This video explains some of them. I'll go on to the next. Oh, the next one is Zapier. One of the things that I love about creating things for myself is getting to try lots of different tools. My headache is constantly that I have to bring all my connections from one tool to the next and from literally lately it's been from one computer to the next. The thing I love about uh Zapier MCP is I connect

15:10everything into this one place at Zapier. I give it whatever control I want over all the tools that I have and then I have one connection, one toolbox essentially that I give Hermes agent that I give Claude code on this computer that I give what do I have on that computer? Whatever it is, uh I get to give it to it and it just works beautifully and it's from Zapier, a company you know, you can trust and that um can become kind of the middleman between your most valuable data. Think about all the things we're giving AI access to between your most valuable data and the tools that you're

15:41experimenting with. Go try it for free right now at zapier.com/mcp. Next. Oh, I have something good to show about this one. This is PM skills. Generic AI gives product managers text. This gives them rigor. Let's take a look. Actually, you know what? You and I were saying I couldn't find enough to test this on. So, we tested it on our stuff. But before we do, let's just look at the GitHub repo. Is there anything you want to say about it before I show

16:08what what we did with this? It's the same category. If you're a project man or a product manager and you need engineering support or marketing support, go use those other skill packs that we looked at. If you're an engineer and you're vibe coding, you need that marketing one and you need this one. Like these are here to fill in the gaps that you have naturally. It's not it's not a failure. You know, we're all only going to know so many things. These help fill in the gaps. And honestly, I think this one specifically is a is a pretty good I I like the results out of this

16:37package. All right, here's what we did. We basically one of the things that it does is it helps you think through the way you explain things in a more um like more benefit-based. So, I gave it this whole uh website that I created to guide our conversation today and I said, "How would you change the headlines? What would you do?" And it said, "Well,

16:57look, you've got this Apple container. Before you explained it as a swift tool that runs Linux containers as VMs on Mac OS or this is the way you might have after I would I would say using this skill say it sorry say Docker desktop but free native and built by Apple. So for the

17:15Andrew that's so much better. Yeah it's like we went from a five out of 10 title to a 10 out of 10 title and we didn't have to learn anything about like how do we do the the marketing of this? How do we do the explanations of this? Like the skill did 100% of that. I mean, I watched you prompt this. It was like one short prompt and this is what

17:33it came up with. I'm actually going to give my skill that creates these websites for our weekly talks. I'm going to give this to it. This I I don't think this is the way that I exactly explained it. A security scanner for AI agent skills. That's the NVIDIA skill spectre. But I do like how it said it. Scan any agent skill for

17:50hidden malware before you install it. All right. So, all of it really helpful. It does give us a taste of how this works. Let's move on to the next one. Oh, this one's been so hot because of uh because of soccer being so big right now. We know that there are ways for us to watch television online somewhere if not in our city, not in our state, not in our country, somewhere around the world. But how do you even find it? What this does is it it's basically a collection of all those little channels bundled up in a way that you can give your video player so that it just

18:24freaking works in the video player. And so I just really like it. I like it today. I like it forever. I I think it's really a beautiful repo. What do you think? I I love any of these collections of open- source things that just like make life easier that are finding something free, finding some like gem on the internet. Now, because it's not a full package, it's like you got to install, you know, one of these uh IPv players or VC or whatever, you know, they've got a whole list of different things you can play from here. I would if if you want it just to be easy, just download VLC,

18:59right? There's one for Windows, there's one for Mac. Download VLC and it's very easy then to just paste in the the the playlist that they have here because it looks pretty overwhelming, but I'm I'm telling you, this is easy to use and uh it's not overly technical. It's so great. I had no idea this existed until I saw it just really take off in trend this week. Um, and they're saying, "Look, before you pay for another streaming subscription, here's a trick. Just go and get it. Put it in VC." I've got a video here of how to install it and how to use it. But I

19:30don't think it makes sense for us to show it now. I'll have it on the site if anyone wants it. Next, agent reach. Uh, this is a problem that you and I come across a lot. You ask an agent to read a tweet or a YouTube video, and that's where it goes blind. I know there are other situations, but that's especially the one that hits me every single week. And so what agent reach does is it gets past their blocks. It makes it easier for you

19:53to access it and and use those sites. And whether you're using a personal use or you're building something, this has been really interesting and helpful. What do you think about about this one? I mean, yeah, there's this battle on the internet of bot detection and bot prevention and hey, sometimes I want a bot. I want to scrape this site. Even if it's my own site, I want to be able to scrape it. I want to get my data out of

20:17a site where I have to log in to see it. So platforms like this, you know, there's a bunch of different tools you could use. Some of these tools are meant to control your browser. They're kind of slow, but they give you a lot of control. Some of these tools are meant to be built into scripts and applications. Some, like this, are meant to be used by agents. So this one is great because you can just plug it directly into whatever agent you want and immediately give it the tools to start pulling content from protected sites. Uh, yeah, I love it. I don't I don't have much more to say. it. It's

20:48kind of everything you need in one package. I'm glad it exists. I wish it didn't have to. I'd like my agents to just have clear access. All right. This is by a Netflix engineer who decided that he wanted to pay less per token or for token use. And this really took off after Fable came out because Fable was very token hungry and people used it, discovered it. Uh Fable of course was pulled back, but now people still have it. They still like

21:15this. Um it's still talked about. out. I'm going to show you an example. Actually, this is uh this is the repo here. I'm going to show you an example of how one of the co-founders of uh Hermes, my favorite agent, tried it. And the first thing they said was um key conclusions. Most of what it would do for Hermes actually is a net greater token cost. But there was one aspect it discovered that would save 60% of tokens used on search file tool, which we will be integrating. and this took off on Twitter and I'm glad to hear that. Why why is it that sometimes it's more,

21:49sometimes it's less? Yeah, AI is so frustrating, right? It like sometimes it's backwards. You know, the the tool calls that are made. A tool call sounds weird and technical, but it's really just, oh, if you connected your email, connected your calendar, your notion, or whatever, in order for Claude to reach notion, it uses a tool

22:09and it says, notion, give me some data. Well, often the tools that are built by notion or Gmail or whoever, they give back too much data. You know, the agent has requested emails for the last week, but the tool also will return a bunch of metadata or the content of the emails. Maybe you only wanted the subject. So, a layer like this in between the two says, "Oh, I see what that tool was trying to give me from notion, but I can tell that the agent didn't want all of that information. So, let me cut out the things that are irrelevant so that they don't have to make it all the way to the

22:42agent." Well, hold on a minute, though. What happens if your agent decides, "No, I did want that data." Well, now it needs to make another tool call. So, it's not that it's using more tokens per call. It's that if some data that the agent was expecting got filtered before it made it, now it's going to have to ask again and it's going to have to ask more explicitly. And I bet what they found was a lot of repeated calls looking for nuance data in different ways. And there's some cost to every single call uh that goes up if if you you know get rid of it. So, I like to

23:16give my agent as much context as possible because they're so intelligent that when you give them that context now, I can ask great questions. I can generate great outputs. But, of course, yeah, man, Fable is expensive. These new models, they're getting more expensive. They're generating more tokens for the same messages. So, if you can cut cost, I I would try it. I would try and plug something like this uh into your into your toolkits. Uh, but don't, you know, don't forget to check and see if you're

23:43actually saving or not. By the way, if you are getting this website after, and there's a link in the description, I have all these links that I used to show in the past, but I found that it slowed down the conversation. But when you're ready to go deep into one of these repos, the links will help you because they're other people's guided experiences and more uh nuanced evaluations. And I spent a lot of time putting that together for you. It's not just AI, it's me, which means you'll sometimes find mistakes in it. I don't

24:08think I have many, but sometimes you do. I do also have this video of uh Better Stack doing a test before and after. I don't think it makes sense to show it here again, not to slow it down, but I think it is interesting to see him specifically try one thing with it and one thing without. One prompt with, one prompt without and look at the results and uh it saved him tokens. All right,

24:28last 30 days skill. This is coming back. This was number one last week. It is now number eight this week. It is insanely popular on Twitter because Matt Van Horn is so popular on Twitter and because it is so helpful. Um, what I like about this is that it it understands that when you want to learn something, you don't want to go and get not always get everything that's on the internet. You want a few curated sites that you trust. GitHub being one, YouTube being one, Hacker News uh X, but only most recent uh responses. And so the example that he gave on one podcast recently was, I want to send out cold

25:10email that gets me responses. What's working today? Go find the people who are showing off on Reddit and give me that. Another example that I seen him use somewhere was um legal questions. help me understand what legal questions people have today that are not solved for this area and he'll get that. Or openclaw vers Hermes vers Paperclip is a really good one because these just came out. Don't give me what happened even two months ago because two months ago OpenClaw was number one. Hermes was

25:37weird. Now tell me what they are. I think this is great. You know, Andrew, you know this. I'm I'm the CTO of a venture studio. We own a bunch of companies and one of the questions I get the most often from anybody at these companies is how do I stay up todate on AI? And honestly, I don't have a good answer because there's so much content. You got to follow this blog and subscribe to this newsletter and pretty soon you're just spending all your time reading and watching YouTube and you're not doing your job. I think this is a pretty I want to test this out as a way where I

26:13can give people a very customized tool and even stream of, hey, you're interested in marketing tools for SEO and GEO. Well, great. Run this every Monday and and get a custom report that just has what's interesting and useful to you because because until I saw this, I don't I don't feel like I've had a good answer to that. There's not one newsletter I'd recommend. There's not one YouTube channel I'd recommend. Uh, you've got to be immersed in it and maybe this is a good way to get

26:41immersed. Will somebody please introduce me to Matt? I want him to come on here. I'd like Matt to come on here with me and Adam. I'd like him to just do a session just on on the repos that he has. He's been doing incredible work. I don't know why, but I'm glad that he is. Oh, I also like that he uses Poly Market because that's actually becoming a really insightful source for us. Okay. All right. Let's go on to the penultimate one. This is music assistant server. I didn't know what this was. You and I

27:07talked about it. Let's go on GitHub. Tell me what this is and I'll show the the pages that you that you were referencing. Yeah, this is this is a niche cut. There's this platform called Home Assistant that people use to build their own smart assistants in their home. So, you could already get Alexa or use, you know, the Siri version and control your devices. You could talk to it. A bunch of people have have used this open platform called Home Assistant that can connect all smart devices from pretty much every platform. The problem is it's difficult to couple those with tools like Spotify or with Apple Music. Those

27:44are very closed ecosystems. And Home Assistant being an open platform, it's been around a long time. They try and stay pretty neutral on this. And so this music assistant, I mean, look at how many different sources of music you can couple with this. I don't know about you, Andrew, like I have Alexa at home and I ask it about the weather and I ask it to play music. And if I had Home Assistant, I'd struggle to get it to play music. Well, with a thing like this, you can pair all these different sources of music with it. And even like coupling in YouTube music and saying,

28:18"Oh, I want to play this song. Which platform do I have rights to listen to this song on this package kind of takes care of all of that. So, it's a wonderful companion for Home Assistant." This actually is very compelling because of music. It drives me crazy that my a word, I won't say it, I won't trigger

28:33it. my my office here. Sorry, you'll have to bleep me, but it won't play YouTube Music. And you know what? That's the only thing that's keeping me from using YouTube Music um as my main music player because YouTube Music has all the music versus Spotify, which doesn't. Yep. Okay. All right. I got a video here for people who are interested. We're going to look at the very last one. System prompt leaks. I'm going to show you the tweet that is indicative of the kind of thing that people got really psyched about with this. Someone leaked the entire Claude Fable 5 system prompt and Anthropic cannot stop it. They cannot

29:09stop it, Adam. 120,000 characters. What What do we do? Meanwhile, Adam, you say this is this is not that. What What is this then? It's not It's not some secret that we've uncovered. First of all, Anthropic releases their system prompts. So, we could talk about what a system prompt is, but the but the

29:31hype around Oh, no, they've released it. Anthropic releases all these. You can go find it on their website. Oh, yeah. There you go. You've pulled it up. Here's the here's the prompt. So, I don't know that it's the the concern, but but I am actually curious, Andrew. I'm not sure that everyone in the audience would know what a system prompt is or why it's so important. Do you know like how would you define a system

29:54prompt? The only thing so only because I've read this I I have an understanding. It seems like it's the hidden prompts that go to the model before my prompt. Like as I was reading it on an anthropic site, I think I saw something like oh here child safety like before it says uh before it sends anything in it says Claude can never create romantic or sexual content involving direct minors etc. So it's like the prompt before my prompt. Am I

30:25understanding that right? Yeah, that's that's exactly right. And it's actually important to read these. If you're out there, you're vibe coding, you're building agents, you really should go to this site, look at the system prompts for the models that you're often using and and learn from them. These are all templates. When you're building your own custom agent that's talking to GPT55 or whatever, you don't have this system prompt. But if you go to chatgpt.com or if you go to cloud.com, this prompt is running before your very first message. And it's the opportunity that we have as application developers to inform the model on here's who I want you to show up as. Your name

31:08is Claude and you're the Fable 5 model and here are the things that you do. Here are the things that you don't do. It's all these hidden instructions. And if you haven't built a custom set of system instructions for your app, you really need to because the agent is expecting it. The model is expecting this set of instructions in order to tailor all of the output. So when we build these, we tell the agent about the tools it has. We tell it what role we want it to play. We tell it how we want it to do the work. And these are literally system prompt examples from

31:44the like top tier model providers on the planet. So you should be reading these. You should come back here and run that teach skill against them and say, "Teach me how do I write a great system prompt based on this like huge repository of system prompts." So I come to these all the time, Andrew. I'll go to the cursor one and I'll say, "How are they doing it? What tactics are they using? What formatting are they using? Oh, they've got all these like weird little like brackets and names. Why are they doing that?" These are all things that if you're not incorporating into your system prompts, you should be. Who would

32:18you rather listen to about how to write this, me or Claude? This is a great way to go and learn how the Claude team writes prompts. I see. I thought this I thought you were going to tell me to understand the restrictions behind the model. Like here, legal and financial advice, the formatting, the structure, how are they include in here? What do they not include in here? All of those things you should be learning. And if again if you're building an agent for other people, learn from the best of the best and I want to see a system prompt in your app that looks just like these

32:49because these guys know how to do it. I see. Okay. So it is a collection of how they're telling their agent to talk to me. Like for example, Claude uses warm tone, treating people with kindness and without making negative assumptions about their judgment or abilities. But it's also here is how we like to prompt. This is the structure. It's kind of

33:06interesting because is is Grock in here? No, Grock is not under miscellaneous. No, there are not. The reason I ask is because people have been showing the videos that they're creating using the new Grock video creation model and my videos just suck. And one thing I noticed having watched people's YouTube videos is they are going deeper longer with their prompts than I am. I'm giving it one or two sentences. So, I could see that that's one issue, but maybe there's something else to the nuance that's helpful. All right, that is the last one. And in fact, speaking of that, I've got a list of things that launched in

33:41the last week here that are not on GitHub that you wouldn't have paid attention to, hidden gems. And one of them is Grock with an understanding of how the video works. And go watch that next. See you there.