7 Free GitHub Repos That Make Claude So Good It Feels Illegal — Transcript
Full transcript
- 0:00I feel like I've been using Claude wrong
- 0:01for the last six months. How did I not
- 0:03find out about these GitHub repos
- 0:05sooner? Because ever since I started
- 0:06using these, I feel like my Claude has
- 0:09become orders of magnitude more
- 0:10powerful. I went through all the major
- 0:12topics on GitHub. Claude Code, agent
- 0:14skills, Claude skills, MCP servers,
- 0:16Claude AI, AI agents, and I found the
- 0:18best GitHub repos to inject into your
- 0:21Claude. These are repositories that you
- 0:23can simply download, connect to your
- 0:24Claude, and turn Claude into a monster.
- 0:26One of these repos can help you scale up
- 0:28your Claude into an entire 30 agent team
- 0:31that can run your business for you.
- 0:32Another one of these repos is the exact
- 0:35same system that the CEO of Y Combinator
- 0:38uses to run their multi-billion dollar
- 0:40business. Another one was just launched
- 0:41and was created by Jack Dorsey and is
- 0:44the future of Agentic Work. And another
- 0:46one is a repo that I've been using for
- 0:48the last week to scale and optimize my
- 0:51ads. So, I've been putting these to the
- 0:52test across my real workflows. I'm going
- 0:54to show you the top seven which have
- 0:55almost a million stars on GitHub between
- 0:57them. So, they're very highly rated and
- 0:59I'm going to show you how to turn Claude
- 1:00into an absolute beast. All of the repos
- 1:03that I select today are going to be
- 1:05available for free in the description
- 1:06below. If you join my free school
- 1:08community under the resource section,
- 1:09just like every video, I'm going to have
- 1:11the full guide from this video. It's
- 1:12going to contain the seven repos and
- 1:14installation guide so you can just chuck
- 1:15them straight into Claude Code and
- 1:17they're going to start working pretty
- 1:19much straight away. The install was
- 1:20actually really, really easy. So the
- 1:22first one is last 30 days. This is very
- 1:25cool because when most people are
- 1:26researching, they just use Claude and
- 1:28Claude just researches the internet. So
- 1:29when they're researching a topic, they
- 1:31basically just get an aggregation of
- 1:33news articles. But what last 30 days
- 1:34does is it also scans the social side.
- 1:37So it'll scan Reddit X, YouTube, Hacker
- 1:39News, Poly Market, and the web all at
- 1:41once to give you real opinions, not just
- 1:43from news articles, but also from real
- 1:45people. So you can basically ask it
- 1:46about any topic and it's going to come
- 1:48back to you with what's rising in
- 1:49popularity, what's overrated, what
- 1:51people are saying with examples. And
- 1:53this becomes very valuable in many ways.
- 1:55I'll give you some example prompts. If
- 1:56you run a business, for example, you can
- 1:58stress test the market's opinions about
- 2:00a particular app you want to onboard or
- 2:02a particular funnel that you're thinking
- 2:03of running. If you are wanting to use a
- 2:05product, you can stress test whether the
- 2:06product is good or not. If I'm
- 2:08researching for a YouTube video, I can
- 2:09get real research based on what people
- 2:11are saying. So, I don't just need to ask
- 2:13Claude and rely on Claude for
- 2:15researching because I know I'm covering
- 2:16all of the major platforms and social
- 2:18opinion. So, if you do anything research
- 2:20related, which in reality is all of us
- 2:22because if you run a business, you're
- 2:23constantly researching. If you make
- 2:24content, you're constantly researching.
- 2:26And just in general, if you want to
- 2:27learn anything, you're probably
- 2:28researching. Last 30 days is an amazing
- 2:31tool. So, let me show you. I just asked
- 2:33I'm running a prop in the background to
- 2:34get the public sentiment and the
- 2:36opinions and the current vibe check on
- 2:39Claude versus Chad versus Gemini. what
- 2:41people are using and what people are
- 2:42switching to and a complaint nobody at
- 2:44the AI companies wants to hear. Last 30
- 2:47days basically describes themselves as
- 2:48an AIEL search engine scored by up
- 2:50votes, likes, and real money, not
- 2:52editors. So, you can see what's actually
- 2:54moving the needle in terms of social
- 2:55interest and engagement, which is very
- 2:57important. It's great for me because in
- 2:58content creation, that's all you really
- 3:00care about. You care about social
- 3:01sentiment more than news rankings cuz at
- 3:03the end of the day, you want real people
- 3:05to watch your videos. So, you can see
- 3:06here the engine has done the research.
- 3:09It's broken down the community
- 3:10sentiment. Polarized on Claude. Loyal on
- 3:13output quality. Furious on limits.
- 3:15Strength sticks your existing code base
- 3:17better than Astra. Highest ambition
- 3:19ceiling. Co-workers landing with the
- 3:21non-coders. Weaknesses. September 14th.
- 3:24Limit cut. Public cancellations and
- 3:25lawsuit with Chad GPT. Enthusiastic on
- 3:28GPT Astra. Uneasy on privacy and ads.
- 3:31Strengths what people love. Weaknesses
- 3:32common complaints. Gemini love price
- 3:35reliability and volume not for being the
- 3:37smartest. And then it summarizes all of
- 3:39the information here with what the
- 3:41agents have reported back. So that's
- 3:42just an example of a broader prompt. And
- 3:44you can see that the research outputs
- 3:45here in my opinion are stronger than
- 3:46just asking Claude, especially for
- 3:48social stuff. But here's where it gets
- 3:49interesting. If you run a business and
- 3:51you want data about a potential product
- 3:54or how to launch a product, for example,
- 3:55I have a school community and I might
- 3:56want to know what are people saying
- 3:58about the current school communities.
- 3:59What do people complain about? What
- 4:01would make one potentially worth money
- 4:02if I were to do a paid offering? Mine's
- 4:04free, but if I were, what would make it
- 4:06worth it? So you can ask questions like
- 4:08this. You could ask questions about what
- 4:09ads people are responding to, what
- 4:10products people are responding to, and
- 4:11use a tool like this to do feasibility
- 4:13studies on a product or an offer because
- 4:15you're getting opinions from real
- 4:16people. So let's say you were running a
- 4:18consulting business like a, you know,
- 4:20white glove AI concierge type business,
- 4:22you could ask what the average person is
- 4:24looking for. And because it's crawling
- 4:26through X, Reddit, YouTube, getting real
- 4:27people's thoughts, it's going to
- 4:29aggregate that information much better.
- 4:30So I'm sure you guys, you know, could
- 4:32start to brainstorm and think of the
- 4:33power of a tool like this. And because
- 4:35it has the agents preset and pre-trained
- 4:38to sweep in a certain way and scan in a
- 4:40certain way, the output's going to be
- 4:41better than just asking Claude, "Hey,
- 4:43get a social score from XR Reddit or
- 4:45YouTube." So, based on this prompt, I'm
- 4:46already starting to get some insights.
- 4:47Premium buyers aren't paying for more
- 4:49information. They're paying you to help
- 4:51them get something done 100%. Low ticket
- 4:53trap is a math problem, not a marketing
- 4:55problem. When you're charging, what
- 4:56separates the ones people stay in is
- 4:58call frequency and feedback on real
- 5:00work, key patterns from the research.
- 5:02And then you've got the source material
- 5:03down below. So the next MCP that I've
- 5:05been finding very very useful in my
- 5:07workflow especially for content creation
- 5:09is Playright MCP. So this essentially
- 5:12gives Claude browser automation
- 5:14capability. So it enables an LLM like
- 5:16Claude or GPT to interact with web pages
- 5:19through structured accessibility
- 5:20snapshots which bypasses the need for
- 5:23screenshots or visually tuned models
- 5:25which means that it can be a lot faster
- 5:26to interact with the browser and do
- 5:28research than computer use. I don't know
- 5:29if any of you have been using Grockbot
- 5:31recently. Although it's very capable, a
- 5:33lot of the time it's extremely slow.
- 5:34Whereas this bypasses everything. This
- 5:36is literally Microsoft's official MCP
- 5:38server for Playright. So it's the tool
- 5:40that real developers use to automate
- 5:42their agentic workflows in their
- 5:44browser. So it means that Claude can
- 5:45essentially interact with a real
- 5:46browser. So clicking, typing,
- 5:48researching, scanning, filling forms,
- 5:50reading pages, and coming back with
- 5:52information, which essentially gives
- 5:53Claude hands, right? So Claude on its
- 5:55own can't do anything on the browser. It
- 5:57can just read it. If you put claude in a
- 5:59Chrome extension or you use computer use
- 6:00or if you use its own browser
- 6:02technically it can take a screenshot it
- 6:03guesses where to click and then it can
- 6:05click on pixels but it's very slow and
- 6:07it lives in the browser whereas
- 6:08playright MCP opens its own browser
- 6:10reads the page structure clicks the
- 6:12exact button needed to interact and it
- 6:14can run without you. So it's essentially
- 6:16headless so it can stay logged in which
- 6:18means you can chain it onto other
- 6:19workflows more efficiently. Let me give
- 6:21you an example of something it can do.
- 6:22So, I'm going to ask it to open a
- 6:24browser and go to my channel, AI Edge.
- 6:26And then I want it to open the videos
- 6:28tab, read my most 10 recent uploads, log
- 6:31all of the data, then do the same for
- 6:32one of my competitors. I'm going to use
- 6:34Nate Herk as one of the biggest AI
- 6:36channels for this example. Put all 20 in
- 6:38one table sorted by views per day since
- 6:40upload. Tell me in three lines what
- 6:41their titles are doing that mine aren't.
- 6:44Now, I can see here that it's actually
- 6:46loaded up a browser. You can see it's
- 6:48going on to both of our channels. It's
- 6:49taking the data. You can see here it's
- 6:51already taken the titles, it's loaded
- 6:54them, it's looked at the competitor
- 6:55page. So, it's basically just
- 6:56interacting with the browser. This is a
- 6:58tool that many professional developers
- 7:01use. So, it's Microsoft's browser
- 7:03automation framework. So, it's become
- 7:05the standard for endto-end testing and
- 7:07web development. So, if you're a
- 7:08front-end team, if you're building
- 7:09landing pages, UIs, it's very common to
- 7:11use Playright MCP for tweaks. So if an
- 7:14agent writes a UI change, it can open
- 7:16the page in playright, check that it
- 7:18rendered instead of the developer like
- 7:20alt tabbing to look and essentially you
- 7:22end up with a scenario where the agent
- 7:23can now see the result of its own code.
- 7:25So it can use it for autonomous checking
- 7:27of its own work. The key distinction to
- 7:29understand is that it actuallyes the
- 7:31real browser as opposed to cla or gbt
- 7:34which takes screenshots. It slows the
- 7:36whole process down and it misses
- 7:37information and it's less accurate and
- 7:39it's less autonomous. So you can see
- 7:40here it's given me the output. It's
- 7:42given me the views, the titles, the day
- 7:44since upload, and it gives me some of
- 7:46the reasons why he's getting more views
- 7:47than me. This is a very quick test, but
- 7:49it's something that's very useful when
- 7:50it comes to YouTube research. Like for
- 7:52example, I could say research all videos
- 7:53on GitHub repos. You know, pull all of
- 7:55those videos, go in, pull the
- 7:57transcripts, come back to me with the
- 7:58transcripts, and summarize the reason
- 8:00why the most viral videos went viral. Or
- 8:02I could say, search Claude, pick the
- 8:03most viral outlier topics and help me
- 8:06ideate 10 content ideas based on that.
- 8:07So there are many ways that you can use
- 8:09Playright. It's just a bit more seamless
- 8:11than you know using the clawed browser.
- 8:13So if you've ever run into issues with
- 8:14the browser, if you do a lot of browser
- 8:15work, I think this is a great MCP for
- 8:17you. All right, so for the next two
- 8:19repos, repos three and four, we're going
- 8:21to focus specifically on jobs. So we're
- 8:23going to focus on ads. This is something
- 8:25that I do a lot in my business. If you
- 8:26run a marketing company as well, this is
- 8:28going to be super useful and something
- 8:30that I think all of you can use as
- 8:32number four, which is a skill that
- 8:33enables you to build diagrams and
- 8:36workflows from scratch. So you can
- 8:37literally describe a system, a workflow,
- 8:39and it's going to make an amazing visual
- 8:41demonstration of that workflow, which
- 8:42you can then give to an agent. It's
- 8:44super cool. Then we're going to move on
- 8:45to company use cases in repo 5 and six.
- 8:48I'm going to show you how you can run a
- 8:4930 employee company with Claude. All
- 8:51thanks to a repo from Gary Tan, the CEO
- 8:53of Y Combinator, which literally makes
- 8:56Claude work like a Y Combinator company.
- 8:58And then number six and seven is just
- 9:00going to take any startup idea, any
- 9:02company, pretty much if you're running
- 9:03any business on AI to the next level.
- 9:05All right, so the next repo is Claude
- 9:07Ads. This is so sick if you're running
- 9:09paid ads. Now, although a lot of
- 9:11creators or agencies or companies, they
- 9:13focus on organic content, one thing that
- 9:16is really effective, especially right
- 9:17now, is meta ads. And this is a way that
- 9:20you can track all of your ads from Meta,
- 9:22from YouTube, pretty much any platform,
- 9:23as you can see here, all in one place.
- 9:25So, you can optimize your ads. You can
- 9:27find out why they're working, why they
- 9:28aren't working. You can track versus
- 9:30competitors. This is pretty much a way
- 9:31to have an entire ads agency within
- 9:33Claude. And I really wanted to speak
- 9:35about it today because no matter if you
- 9:36are working in the agency model, if
- 9:38you're working for clients, if you're
- 9:39doing AI concentric consulting, if
- 9:40you're running your own business, you
- 9:41probably need a repo like this. So, it
- 9:44has 9.3K stars. I honestly think it's
- 9:46underrated cuz I think it's great. So,
- 9:48this is essentially a claude first
- 9:49portable paid media operations for
- 9:51agencies, consultants, and in-house
- 9:52performance teams. Don't you think it's
- 9:54just crazy now? And especially as we get
- 9:55to the last repost, I think it'll become
- 9:57obvious that we have software tools that
- 9:59can literally put a professional
- 10:01marketing team in your pocket. I was
- 10:02testing out some of the hedge fund stuff
- 10:03before and I find it mind-blowing
- 10:05because you can literally have an in
- 10:06professional hedge fund using proquant
- 10:08strategies in your pocket now on your
- 10:10claude account. Like it's just crazy
- 10:11what you can do these days. But
- 10:13essentially the way claude ads works is
- 10:14you run one command, the agents fan out.
- 10:16So they have 11 specialist agents which
- 10:18audit every platform in parallel. It
- 10:19will give you a health score of all your
- 10:21ads and then it will give you an action
- 10:22plan. So it will rank the potential
- 10:24fixes by impact and what you can ship
- 10:26right now. So you can audit all of your
- 10:29ads at once. Not only does it do audits,
- 10:31it can also plan campaigns, budget, you
- 10:33can strategize, it can tell you when you
- 10:34should up ad spend in a certain area,
- 10:36when you should lower ad spend in a
- 10:37certain area, what your ROI is if you're
- 10:39missing something. And if you combine it
- 10:41with the first repo, last 30 days that I
- 10:43shared with you as well, where you can
- 10:44get new ad creative ideas based on what
- 10:46people are talking about, it's just
- 10:47going to put rocket fuel on top of this.
- 10:49And that is the real power of these
- 10:50repos and MCPs. It's really stacking.
- 10:52For example, you could do the research
- 10:54on last 30 days. You could use this ads
- 10:57agent to do the grunt work. You could
- 10:59use the Higsfield MCP to generate the
- 11:01media cuz it has access to the latest
- 11:03video and photo models. You could use
- 11:05Playright MCP to actually go into a
- 11:07browser and and do something like you
- 11:09can stack all of these on top of each
- 11:10other. And the last ones I'm going to
- 11:11talk about, you can actually sync all of
- 11:13this with your other AI agent employees.
- 11:15So that is how you have to think of AI.
- 11:17Now it's tool stacking, using each tool
- 11:19for what it's good at and building a
- 11:20genuine company. You know, you want to
- 11:21have your ads manager, you want to have
- 11:23your financial officer, you want to have
- 11:24every agent with a specific trained
- 11:27role. And that's why these repos are
- 11:29good because you don't need to go
- 11:30through the effort of training it.
- 11:31Someone has already done it and not just
- 11:32someone. You have in this case four
- 11:34contributors and these are top
- 11:35contributors you know literally Claude
- 11:36and Codex. Sometimes you have crazy
- 11:38amounts of contributors. Like let's go
- 11:40on to like last 30 days for example has
- 11:42140 contributors. So there are a lot of
- 11:44amazing developers who are putting you
- 11:45know time behind this. So as you can see
- 11:47in the demo here you have a bunch of
- 11:49commands. You can choose what command
- 11:50you want to run. For example the audit
- 11:51command. Then it will spin up an
- 11:53orchestrator. It will run parallel audit
- 11:54agents and then it will provide an
- 11:56output. And you can see the example
- 11:57output here. So that's an absolute
- 11:58banger one. Let's get into Archify,
- 12:01which is a skill to create beautiful
- 12:03verifiable architecture, workflow,
- 12:05sequence, data flow, and lifestyle
- 12:07diagrams, which are their own HTMLs,
- 12:09which you can put into notion. You can
- 12:10export them. I'll show you exactly how
- 12:12to do it. And this one has 64.4K stars.
- 12:15So essentially, it's a way to take plain
- 12:17English and build it into architecture.
- 12:19So this is especially amazing if you're
- 12:21doing client work because you can just
- 12:23describe the client's problem. Let's say
- 12:24you get on a discovery call with a
- 12:26client. They tell you their problems.
- 12:27You can then determine a workflow in
- 12:29plain English with Claude and then you
- 12:31can use it to create an amazing diagram
- 12:33which then you can automate or you can
- 12:35give to an agent to automate. And I find
- 12:38being able to graph engineer and
- 12:39visualize processes not only helps your
- 12:42agents but helps you understand
- 12:43processes better which in turn helps you
- 12:45get the results that you need out of AI.
- 12:47And this was actually one of the top
- 12:49trending repositories. People have been
- 12:51loving it. As you can see it creates
- 12:52these diagrams. You can switch between
- 12:53dark mode and light mode for different
- 12:55flows that you would like to create. And
- 12:57what I actually recommend people do is
- 12:59they build out SOPs for their real
- 13:01business. Like you've really just got to
- 13:02be writing everything down in your
- 13:04business. Have a database like notion
- 13:06for example. Have every single SOP. So
- 13:08how you go about creating a video, how
- 13:10you go about planning for an ad
- 13:13campaign, how you go about onboarding a
- 13:15client, how you go about doing your
- 13:16financials, whatever you do, if you're
- 13:18working a 9 to5, how you do your
- 13:19specific task. Write down each
- 13:21component. draw it up into an
- 13:23architecture and a workflow using
- 13:25Archify and then from there go and find
- 13:29each bit that you can automate because
- 13:30once you've mapped it out and you've
- 13:32graph engineered and you have a visual
- 13:33exemplification of what you do, you can
- 13:35actually go and start picking individual
- 13:36components that you want to outsource.
- 13:38And this is really important because
- 13:40before you set an agent to do something,
- 13:42you really want to understand exactly
- 13:44what it's doing. And I feel like this
- 13:45also helps you get a much better
- 13:47understanding of AI. It genuinely makes
- 13:49you better at using AI because you
- 13:52understand why things are happening and
- 13:53how things are happening. And you're
- 13:54going to get much more consistent
- 13:56outputs with this because it's already
- 13:57been trained. It's already been stress
- 13:59tested and it already has top developers
- 14:02versus trying to graph engineer
- 14:03yourself, which to be honest, I was
- 14:04doing for a long time. And as I said in
- 14:06the beginning of the video before
- 14:07finding some of these repositories, I
- 14:08genuinely think I was using Claude and
- 14:10AI wrong in many ways. Not wrong, but I
- 14:12was just putting too much work into
- 14:14things when people have already done the
- 14:16grunt work for me. Like the reality is
- 14:18developers all around the world are
- 14:20having the same issues that you have in
- 14:21terms of memory in terms of AI not
- 14:23sounding human enough in terms of it
- 14:25being too inconsistent or too hard to
- 14:27graph engineer in terms of the web or
- 14:29browser capabilities not being correct
- 14:31and that's why developers have made
- 14:32workarounds and that's why these highly
- 14:34rated GitHubs exist because genuinely
- 14:36they're better for many of these things
- 14:37than just using the stock and you know
- 14:39plugandplay chatgbt or claude. Now we're
- 14:42moving on to number five and number six.
- 14:44These are use cases for your company or
- 14:47to create a company. And this is one of
- 14:49the heavy hitters of this video. This is
- 14:50Gary Tan, the CEO of Y Combinator's
- 14:53exact Claude Code setup. If you don't
- 14:55know what Y Combinator is, they're
- 14:56basically venture capital. So they
- 14:57invest in startups. They incubate a lot
- 14:59of startups. They manage an estimated
- 15:01$12.2 billion in assets and they are at
- 15:04the front foot of AI. They're investing
- 15:06and backing in a lot of the up and
- 15:08cominging exciting tech. So you best
- 15:10believe these guys are ahead of the
- 15:12curve when it comes to AI. And Gary Tan
- 15:14released his claude code setup with 23
- 15:16opinionated tools that serve. This is
- 15:18crazy. As a CEO, a designer, an
- 15:20engineer, a manager, a release manager.
- 15:22You literally have an entire company in
- 15:24your pocket. This has 133,000
- 15:27stars, but I still don't hear many
- 15:30people talking about it. And even I was
- 15:31onto this a little bit late to be
- 15:33honest. When I started testing this, I
- 15:34realized how crazy it actually is. So to
- 15:36install it, you need to follow these
- 15:37steps. If you are in the school, I'm
- 15:39going to link all of these anyway with a
- 15:41direct link to each GitHub and have a
- 15:43oneshot prompt so you can install all of
- 15:45these at once. Cuz if you go into claude
- 15:46code and you just drop that MD file and
- 15:49install everything at once, then you can
- 15:50just open any chat and you can just
- 15:52start using this stuff cuz it's already
- 15:53installed on your device or you can just
- 15:55go through and install manually.
- 15:56Completely up to you if you just want to
- 15:57install this one specifically, for
- 15:58example. But my school community is
- 16:00free. So you can see that GStack has a
- 16:02collection of skills. So each skill
- 16:05feeds into the next. For example, office
- 16:07hours writes a design document that the
- 16:09plan CO review skill the CEO needs to
- 16:12actually think about the problem. Then
- 16:14it can hand off to the engineering
- 16:15manager who revites a test that the QA
- 16:18picks up. Review catches bugs which
- 16:20means that nothing falls through the
- 16:22cracks because every step knows what
- 16:24came before it. So what I recommend is
- 16:26using for/off hours to kick off a chain.
- 16:29For example, you know, let's say you
- 16:30want to build a daily briefing app for
- 16:32your calendar. you go forward/off hours.
- 16:34Then claude because it's tapped into
- 16:36GStack would start asking questions. You
- 16:38give it a response. It's going to
- 16:40challenge it. It's going to give you a
- 16:41recommendation. Then you can kick off
- 16:43the next skill and then it's going to go
- 16:45through the system until you've
- 16:47actually, you know, shipped the product.
- 16:49So this is a real flow that is created
- 16:51by a real venture capital and incubation
- 16:54company. But it doesn't just stop there
- 16:56because they also have power tools. So
- 16:57you can use for/codeex for a second
- 16:59opinion. So an independent code review
- 17:01from OpenAI. So let's say you're using
- 17:04Claude to code. You can get a second
- 17:06opinion from Codeex. Claude code the
- 17:08other way around if you are using
- 17:09Codeex. You've got careful which states
- 17:12the safety guard rails. You've got a few
- 17:14really cool ones like iOS QA as well to
- 17:16connect to your iPhone. So basically
- 17:18every time you use it, you want to start
- 17:19with plan CO review to kick off a
- 17:21process. And you can also spin up
- 17:23multiple sub agents and really run this
- 17:25as its own autonomous team using the
- 17:27training from GStack. The way to really
- 17:29understand GStack is from the lens of
- 17:31Gary Tan because this is essentially the
- 17:34same skill stack that he runs in Claude.
- 17:36This is how he at YC would interrogate
- 17:38an idea. So if you are trying to ship
- 17:40something new for the company, if you
- 17:42are trying to launch a new product, if
- 17:44you are trying to make a tweak or a
- 17:46change, you can just run it through a co
- 17:48review. For example, if I want to launch
- 17:50a new product, which is the prompt I use
- 17:51here, I'm going to run it through CO
- 17:52review as long as it's tapped into my
- 17:54memory. So if my folder has a MG file
- 17:56and a instructions file with my actual
- 17:58memory and data or it's connected to my
- 18:00notion, for example, which has all the
- 18:01information on my company, it'll be able
- 18:03to extract off that information as well,
- 18:05which I think is really important for
- 18:06this to, you know, actually give
- 18:07applicable advice to my business. It's
- 18:10essentially like you've hired YC to work
- 18:12in your company and it's constantly
- 18:14updated. I think there was literally an
- 18:15update today. So they're always adding
- 18:17new stuff, which is good because some
- 18:19repos get stale and aren't that active,
- 18:21but this one's super active. All right,
- 18:22while that's running the analysis, let's
- 18:24get into the onetwo punch here, which is
- 18:26so powerful if you want to start a fully
- 18:28AI business. Like, if you are hellbent
- 18:29on starting a one person AI business, or
- 18:31even if you have a few employees and you
- 18:33just want to scale up your business with
- 18:35agents, but you don't want to have to
- 18:36code agents yourself from scratch, this
- 18:39is a plug-and-play solution. Probably
- 18:40the best plug-and-play solution I've
- 18:42found, and not just me, it's literally
- 18:44got 152,000 stars and 124 contributors,
- 18:47so the market seems to think so as well.
- 18:48that is going to basically give you an
- 18:51entire AI agency or AI company from
- 18:53scratch. So the Y cominator Gary Tan
- 18:56stack that I just showed you is going to
- 18:58interrogate a product launch and it's
- 19:00going to run through start to finish.
- 19:02This is going to be the operations side
- 19:04that runs your company on a day-to-day
- 19:06basis. So you've got entire divisions to
- 19:08tap into here. And remember each agent
- 19:10is actually trained on a specialtity. So
- 19:12you've got an engineering division with
- 19:14a front-end developer, backend
- 19:15architect, mobile app builder, AI
- 19:17engineer. You can plug this into any
- 19:18model you want. Code reviewer. The list
- 19:20goes on and on and on. I won't read them
- 19:22all out or you'll probably get bored.
- 19:23You've got a design division, a UI
- 19:24designer, a UX researcher, a UX
- 19:26architect, a brand guardian, a visual
- 19:28storyteller. You've got a paid media
- 19:30division. And once again, you can
- 19:32combine this with some of the other
- 19:33tools that I spoke about earlier. And
- 19:35you can train the agents to orchestrate
- 19:37and delegate work to those other MCPS as
- 19:40well. You've got an ad creative
- 19:41strategist. You got a paid social
- 19:42strategist. You've got a sales division,
- 19:44an outbound strategist, a discovery
- 19:45coach, a deal strategist. You've got a
- 19:47marketing division, a growth hacker, a
- 19:48content creator. And these are trained
- 19:50by real people. You got to remember this
- 19:51isn't just slop that someone's just spun
- 19:53up in 5 seconds. This is contributed by
- 19:55124 people that have built all of these
- 19:58skills to act and behave and, you know,
- 20:01work like these employees really would
- 20:03in the real world. You've got a product
- 20:04division. It just goes on and on. I
- 20:06literally can't even scroll fast enough.
- 20:08I'll go through quickly. security
- 20:09division, support division, special
- 20:10computing division, specialized
- 20:12division. Look, depends what company you
- 20:13have. But what they've done is they've
- 20:14gone out and essentially built something
- 20:16for every single company. So, you can
- 20:18literally install this, and I'll show
- 20:20you how to do that in a second. And
- 20:21based on whatever business you're
- 20:22starting, you can just pick the agents
- 20:24that you want. Oh, by the way, the Gary
- 20:26Tan skill is doing an amazing breakdown
- 20:28in the background of how I should
- 20:30actually structure my launch. So, you
- 20:32can see much better than a normal cord
- 20:33output. Just the way that the skill has
- 20:35been refined to critically think. That
- 20:36makes sense cuz it's literally Gary's
- 20:38workflow. So, let me just think of a
- 20:39prompt off the top of my head for agency
- 20:41agents. I want to utilize agency agents
- 20:44to start a company. I am a marketing
- 20:47company focused on marketing AI
- 20:50products. I need a design specialist for
- 20:52my ad creatives. I need a marketing
- 20:54manager and I need an accountant because
- 20:56I'm always losing track of my finances.
- 20:58I want to start with a small team to
- 21:00begin with. By the way, I use Whisper
- 21:01Flow for all of my voice transcriptions.
- 21:03Highly, highly recommend. All right. So,
- 21:04it's saying it has what it needs from
- 21:06the roster. It's going to set up the
- 21:08company's own workspace with a three
- 21:09agent team. Remember, there's literally
- 21:11hundreds of agents to select from. So,
- 21:13you can just scale it up. It has 279
- 21:15agents installed. Like, this is crazy.
- 21:18We just installed this for free. I have
- 21:20almost 300 agents just sitting in Claude
- 21:22now that have already been trained.
- 21:24These are actual Claude skills, right?
- 21:25So, it's not like me just asking around
- 21:26Claude chat, oh, be a design strategist.
- 21:28It's like this has already been trained.
- 21:30Now, maybe it's not perfectly trained to
- 21:31how you want it. That's where you still
- 21:32need to make tweaks, but it's going to
- 21:34be a hell of a lot better than just
- 21:35doing it completely from scratch because
- 21:37there's real people, real contributors,
- 21:39real developers, as I showed you, 124
- 21:41people that have contributed towards
- 21:42this. And you can actually just scroll
- 21:43through if you want because it's, you
- 21:45know, a repository at the end of the day
- 21:46and just look at the individual agents
- 21:49or skills under each single category.
- 21:51Here's finance, here's healthcare,
- 21:53here's spatial computing, here is
- 21:55scripts. There's so much here. So, you
- 21:57can see that I'm now speaking to the
- 21:59designer. I'm about to launch a new
- 22:01product. What tools are you going to use
- 22:03to design my web page for something
- 22:05super professional? You can see that
- 22:07it's routing to the agent and then the
- 22:09agent is going to respond to me now. So
- 22:11I'm speaking to So this is really smart.
- 22:14It wants to use claw design canvas. Then
- 22:15it's going to use G stack design
- 22:18consultation. Then it's going to use
- 22:19Higsfield and then it's going to use
- 22:21Versal plugin for hosting playright and
- 22:23the inapp browser for screenshots and QA
- 22:25on the live page which we installed
- 22:27before. This is really smart. This is
- 22:28crazy. I can literally have a whole
- 22:30company running here. However, something
- 22:31that's obvious is that running a company
- 22:33like this is not very efficient. I mean,
- 22:35you're literally in a claw terminal.
- 22:36It's going to get messy. It's just not
- 22:37the right UI for things. So, what is the
- 22:39right UI for things? Well, this is where
- 22:41number seven comes in. It's called Buzz.
- 22:43It's by Jack Dorsey. This is very recent
- 22:45on GitHub, but obviously they recently
- 22:47launched their desktop application. And
- 22:48this is the place like Slack, but for
- 22:51agents to have all of your agents
- 22:53conversing with each other. So all of
- 22:56those agents, the ad specialist, the
- 22:58designer, the finance accountant, the
- 23:01CEO, all of those skills we went
- 23:03through, they can now all be in Slack
- 23:05channels. So I can set up the company
- 23:06like a real company. So I can create a
- 23:08new channel. I can make the channel
- 23:09YouTube strategy. And then I can click
- 23:12create channel. And then I can drop my
- 23:14YouTube strategist in here. And I can
- 23:16connect it to Claude Code through the
- 23:17CLI. So I can actually tap into the
- 23:19agent capabilities from the agency
- 23:21agents repo that I just showed you. So,
- 23:24this is how you can actually set up a
- 23:26functional agentic company where you can
- 23:28properly visualize things but still tap
- 23:30into all of their skills through Claude.
- 23:32I'm going to probably have to do a
- 23:33separate video on this. It deserves its
- 23:35own video. So, if you want that, let me
- 23:37know in the comments below. But number
- 23:39seven is Buzz. This is how you tie
- 23:40everything together and all you need to
- 23:42do is install it from the GitHub. Once
- 23:43again, I'll leave my free school
- 23:45community below. But you could start
- 23:46developing a whole army of agents
- 23:49working for you as you can see here. And
- 23:51you can have employees working with
- 23:52agents. I think that's the big diff.
- 23:54Obviously, you could do it on Slack,
- 23:55too. Don't get me wrong. But Buzz,
- 23:56because of the CLI integration, is very
- 23:58AI forward, and that was why Jack Dorsey
- 24:00decided to do it cuz he wanted an AI
- 24:02forward solution. So, you can have real
- 24:03employees in Buzz working alongside
- 24:06agents and agents completing work when
- 24:08employees aren't working. So, this is
- 24:09the future of work in my opinion. It's
- 24:11not just human employees. It's not just
- 24:13agent employees. It's agents and humans
- 24:16working together. So, let me do a video
- 24:18to show you how to stack number six and
- 24:19seven on top of each other cuz I think
- 24:20it'll be crazy. But that's all I have
- 24:22for today. Make sure to subscribe to the
- 24:24channel for more content like this so I
- 24:26can help you get the edge in AI and my
- 24:28free school communities below if you
- 24:29want all of the GitHubs that I spoke
- 24:31about today. And you can just drag and
- 24:33drop that MD file that I'm going to give
- 24:34you into claude and it will install
- 24:36everything. So you can go ahead and use
- 24:38this stuff yourself. This is how you 10,
- 24:4220, 30, 40, 50x the capabilities of the
- 24:45stock standard claude. I'll see you in
- 24:47the next one. Have a lovely rest of your
- 24:48day. Peace out.
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