Use These 17 Claude Plugins, It Will Make You 10x Better.
CChase AI
Computing/SoftwareSmall Business/StartupsInternet Technology
Transcript
00:00:00While ClaudeCode out of the box is one of the strongest AI tools on the planet, we can make it
00:00:04way better by simply adding plugins, skills, and CLIs to our stack. The problem is there are
00:00:11hundreds of plugins and skills and things you can add to ClaudeCode. So how do you know what is
00:00:15actually worth your time, especially if you're just getting started? Well, in this video, I'm
00:00:20going to help you out by going over 17 different plugins that I actually use and think are worth
00:00:24your time. We're going to break it down into three different buckets, data, design, and
00:00:28productivity. And for each one of these, I'm going to go over what it is, how it works, and why you
00:00:33should care. We got a lot to cover, so let's hop in. One of the things you hear over and over again
00:00:39when it comes to design is the idea that AI lacks taste. Well, what if we had a skill that gave it
00:00:45taste? And that's exactly what the taste skill does. This is an open source GitHub repo that's all about
00:00:51defeating the AI slot monster. Now, the taste skill GitHub actually includes a number of sub-skills,
00:00:56things like image to code skill, the redesign skill, the output skill. And all of this is meant
00:01:01to give you better front end design, make your websites look better. This works with every single
00:01:05agent out there, not just ClaudeCode. So if you're using AI to create landing pages or anything that
00:01:10is design oriented, you're going to want to check out the skill. Here's an example of one of their
00:01:14websites. We can see we have some sort of like scrolling animations. And in general, this is definitely a
00:01:19different vibe than what you normally see from something ClaudeCode would produce. Here's another one
00:01:23that's a bit more on the traditional SaaS side. But again, if ClaudeCode essentially one shot
00:01:28something like this for you, I think most of us would be happy. So if you're looking to go beyond
00:01:32the default Anthropik front end design skill, this is something I would take a look at. Now,
00:01:36number two on the list is impeccable. And this is another open source front end design skill that is
00:01:41meant to get rid of AI slot and improve on what Anthropik already gives us. Now you're going to hear a
00:01:46lot more about impeccable because just a couple of days ago, they became a built in layer for everybody
00:01:51who uses the GitHub Copilot app. So GitHub themselves saw this, thought they did such a good job and was like,
00:01:56Hey, let's actually make this native to our AI tool. Now, just like the taste skill, there are layers to this
00:02:01impeccable skill. It is one single skill, but it includes 23 different commands, everything from
00:02:07documenting what it's done to critiquing what you've already created, polishing it, making it bolder, quieter, et cetera,
00:02:13et cetera. There's honestly so many commands that it's hard to know what this actually does. Now, the easiest way to see all
00:02:17these commands in action is on the impeccable website, which is impeccable.style. So if I scroll down, I can
00:02:22see all the commands here on the left. I get a quick explanation of what it does. And here on the right, I can
00:02:28actually see a difference between what cloud code would create and what impeccable would give us. So this is
00:02:33the distill command where we have this sort of mini dashboard and we want to just kind of strip it down to
00:02:38its bare parts. Well, distill would give us all that same information, but in a cleaner profile. Another cool thing
00:02:43about impeccable is the browser editor. So you can actually bring up your website on your computer. This
00:02:49is in beta. And instead of having to edit these things inside the terminal, you can actually go onto
00:02:53the website, select different things and say, Hey, I want to do X, Y, and Z with impeccable to change
00:02:57this. And you can see the changes live instead of having to do everything through code gives you sort of a
00:03:01visual element to all this. And I think this live editor is what really separates from something like the
00:03:06pace skill. So if you really want to get hands-on with your design work, I highly suggest you give it a shot.
00:03:11Now, moving on to our third tool on the list, we have awesome design.md. This is all about taking
00:03:17websites that already exist and using them as templates for what we are going to build. This
00:03:22is based on the design.md principle from Google stitch. Now, if you've never used Google stitch
00:03:27before, I highly suggest you check it out. Totally free tool for front end design work. But what we're
00:03:31talking about here is this design.markdown file. So it's over here on the right. And this is what
00:03:37Google came up with in terms of creating the perfect prompt to have AI create strong front end design.
00:03:42So awesome design.md uses this as a template and applies it to websites that already exist. Now,
00:03:50what do I mean by that? Well, you see right here a collection of a bunch of different websites. So
00:03:54let's say we like how Airtable does their website. If I click on Airtable,
00:03:59I then get a breakdown of their entire site structure, colors, surfaces, text, typography,
00:04:06spacing, buttons, everything that I need to use their website as a building block for my own. So
00:04:12we're not cloning their website, but we're sort of cloning their design language and applying it to
00:04:18our own. And they have this for a ton of websites and they have it broken down by use case. So fintech
00:04:23and crypto, designing creative tools, productivity, SaaS, on and on and on and on. So this is perfect
00:04:29if you're someone who is really just looking to take what's already working and apply it to your
00:04:34website. Now, before we jump into the next tool, a quick word from today's sponsor, me. So I just
00:04:40came out with a Cloud Code Masterclass and it is the number one way to go from zero to AI dev,
00:04:44especially if you don't come from a technical background. I focus on real use cases. It's
00:04:48updated every single week. So if you're a little confused and you don't know where to begin with all
00:04:53this Cloud Code stuff, this is the best place to start. You can find a link to it in the pinned
00:04:58comment. It's inside of Chase AI+. I hope to see you there. Now, our first tool in the productivity
00:05:04bucket is going to be Ponytail. This is one of the fastest growing AI repos in the world right now,
00:05:09and for good reason, because it allows Cloud Code to be way more efficient. It makes it faster,
00:05:14it makes it cheaper, and it allows it to write less code while maintaining the same outputs.
00:05:19So they're claiming Cloud Code will be just as good, but faster and cheaper. Now, we can look at some of
00:05:24the numbers right here. And so with Ponytail versus the baseline, we're looking at 50% less code written,
00:05:3022% less tokens used, 20% cheaper cost, and then time-wise, it's 27% faster. Well, how does this
00:05:37actually work? Well, it essentially asks Cloud Code a few questions before it actually writes any code.
00:05:42First, it asks, does this need to exist? Then, is this already in the code base? Does a standard
00:05:47library do this? Does a native platform feature actually have this? Is it an installed dependency?
00:05:52Is it one line? And only then, after it goes to those questions, does it write any code? And it says
00:05:57it's going to write the minimum that works. The whole idea here is that Cloud Code tends to be rather
00:06:01verbose, and it likes to build things from scratch, even if they've already exists. So it's pretty much
00:06:06asking, hey, does this feature that you want to build on your own, is it already out there? Is it
00:06:11already in the code base? Is there already a library for that? If so, just use that. Now,
00:06:15a note on these numbers, these are all with Haiku. In the video I did, we did the same test,
00:06:19the same benchmarks using Opus, and the numbers were even more drastic. So I highly suggest you check
00:06:24this out if you're someone who's looking for a quick, easy way to save on tokens. Now, this next one
00:06:29is one of my favorites, and that is notebooklm-pi. This allows us to connect Cloud Code to
00:06:34notebooklm. Now, if you've never used notebooklm before, it's one of Google's best products. It's
00:06:39completely free. You essentially throw any sort of resources you want at it, whether that's PDFs,
00:06:44documents, YouTube videos, anything, or have it go find these documents, and then you can chat with
00:06:49AI about those things. On top of that, you can ask it to create deliverables for you. I'm talking like
00:06:54slide decks, images, infographics, videos, whatever you want. Again, completely free.
00:06:58Now, there's not an API for notebooklm, but this CLI essentially gets around that and allows us
00:07:04to do everything you would normally do inside of notebooklm, but through the terminal, which is
00:07:08great if you're trying to create some sort of workflow that brings in notebooklm. And again,
00:07:12you're sort of offloading all this work to the Google servers for free. On top of that,
00:07:16the CLI actually gives you more tools than the web app itself. We can do batch downloads,
00:07:21quiz and flashcard export. We can save chat to nodes, on and on and on. So this is,
00:07:25you know, actually more powerful than being here as you normally would.
00:07:30Now, the GitHub gives you a bunch of use cases, but I tend to use it the most
00:07:33in combination with YouTube. So it's able to get links to YouTube videos. It gets the transcript
00:07:37and it answers any questions about it. And again, doing that through the terminal
00:07:40is awesome. Next up, we have Playwright CLI. I think this is one of the most powerful ones
00:07:44we're going to go over today. This is all about browser automation. So if you've ever done something
00:07:48or you want to create an automation where you're like, ah, there's not an API that exists,
00:07:51but I want Cloud Code to almost act like a human and go on the website and click on things
00:07:55and fill out certain forms. Well, the Playwright CLI can do that. And beyond browser automations,
00:08:00this is also great for front end design. I actually thought about putting it in the design
00:08:04bucket. So imagine you're creating some sort of website and you have some sort of form people
00:08:08need to fill out. Well, instead of going through all the edge cases yourself manually, you can spin
00:08:12up Playwright CLI. It will open up a ton of browsers, test it all for you in just a couple
00:08:17minutes, and you're completely hands off. Now, don't confuse this with the Playwright MCP.
00:08:21The Playwright CLI is much more effective than the MCP and it uses way less tokens.
00:08:26Next up, we got the Codex plugin for Cloud Code. This is an official plugin from OpenAI,
00:08:30and this allows you to connect Codex and the GPT models to Cloud Code. Now, this is perfect for
00:08:36things like code review or adversarial review, because we all know that Cloud Code loves the
00:08:41code it writes itself. And sometimes we want a second set of eyes to take a look at what it did.
00:08:45Well, this plugin allows you to do that. It even has commands like Codex Rescue, where you can offload
00:08:50entire features to Codex. So you can have Cloud Code work on one aspect of your application and then
00:08:57have Codex work on another simultaneously, and you can sort of get the best of both worlds.
00:09:01Next on the list is GWS, the Google Workspace CLI. This is not an official Google product,
00:09:06but it was created by a Google developer and it got so popular that it actually got the guy fired.
00:09:11Now, this is great if you're inside the Google Workspace all the time and you want more functionality
00:09:15than what the Google Connector gives you. Because if you've used the Google Connector, you know that
00:09:19you can't do things like send emails. But what if you want to offload that ability to AI? Well,
00:09:24this allows you to do that. And not only gives you that functionality, it includes 40 plus skills to
00:09:29do all sorts of things. So if you're doing things like weekly digest, you want a standup report,
00:09:34a meeting prep, an email to task. There's a bunch of like preloaded workflows all ready to go
00:09:39inside of here. Now, the installation and setup for this tool can be a little more complicated.
00:09:44But if you really want to add power to your Google stack with Cloud Code, you can't go wrong with
00:09:49this. Now, here's one everyone should already have at this point. And if not, it should be like the
00:09:53first thing you install. And that is the GitHub CLI. If you are creating anything with Cloud Code,
00:09:58at some point, you are going to want to push it to GitHub. And the CLI makes it extremely easy to do so.
00:10:04Now, the last one in the productivity bucket is the skill creator skill. And this is an
00:10:07official anthropic skill. And this does more than just create new skills. It allows us to modify and improve
00:10:12existing skills and measure skill performance. Skills are awesome. But sometimes we don't even know if
00:10:19this skill is something that needs to exist, or if we're trying to improve a skill that already exists,
00:10:24how do you know it's actually making it better? Well, the skill creator skill allows us to
00:10:28automatically do A-B tests with the first iteration of our skill and the so-called improved version,
00:10:33and also test things like how does this work with the skill versus without the skill. So you can get
00:10:38some sort of objective proof if the skill you're trying to work on actually makes sense. And since
00:10:45skills are one of the most powerful things we have inside of Cloud Code, I would argue that the skill
00:10:49creator skill is the most important skill out there. Now, to install this is really simple. Once you're
00:10:54inside of Cloud Code, just do forward slash plugin. And then go ahead and search for the skill creator
00:11:00skill. Once you do that, go ahead and install it. And if you shift over to installed, you'll see it
00:11:06right here, skill creator. So now let's talk about data, whether that's databases, research, anything
00:11:12about grabbing information and storing it and things like memory. And the first one I want to talk about
00:11:17is last 30 days. At one point, this was the number one repo on GitHub. And this is all about doing
00:11:23research with Cloud Code and research that goes well beyond a simple web search. And instead of a simple
00:11:28web search, this goes really deep on a number of specific sources. We're talking Reddit, Twitter,
00:11:34YouTube, TikTok, Reels, Hacker News, Polymarket, on and on and on and on and on. So you get a really deep
00:11:40look at a particular subject and what people are talking about when it comes to that subject on these
00:11:45different platforms. This is perfect for anybody who's doing any sort of like daily briefing type things
00:11:51inside of Cloud Code or creating any sort of deliverables that rely on getting legit data. And this is also
00:11:58a great alternative to just throwing slash deep research at everything and burning a bunch of tokens with
00:12:03dynamic workflows. And speaking of research, let's talk about the Firecrawl CLI. Now Firecrawl is one of the best
00:12:08tools out there for scraping the web, especially when we're trying to scrape web pages that have a lot of bot
00:12:13protections. Now Firecrawl has a paid version and an open source version. The paid version gives you the most power in
00:12:21terms of being able to get on websites that have these sort of like bot protections due to their own
00:12:26proprietary model. But we can get a lot of the same functionality with their open source version. So there is an open
00:12:32source version of Firecrawl. This is their GitHub. And so this is perfect if you just want one tool to do specific web
00:12:39scraping, you don't need last 30 days, you're not trying to hit a billion sources at once. I just want one tool for the job.
00:12:44And Firecrawl is awesome for that and definitely a step above the standard Cloud Code web search. And that's because it can do a
00:12:49little more than just scrape, it can actually interact with pages, it can discover all the URLs on a website, it can crawl all the URLs on the
00:12:57website. So you have a lot of settings you can essentially tweak if you're very specific about what you want to grab. Next up, we have auto research. And this comes from
00:13:06Karpathy. This is essentially machine learning in a box. What this allows us to do is take some sort of application that we are
00:13:14trying to improve, we throw auto research at it, and then it's going to automatically run loop after loop after loop, trying to
00:13:21improve whatever we've decided we want to improve. For example, let's say we had some sort of Python application that we wanted to
00:13:27run faster. That's a specific success criteria that's related to time, right? It took one second, it took 0.99 seconds. So we
00:13:36would throw that into auto research, and it's going to run experiment after experiment until it gets that
00:13:41runtime as low as possible. And you can see an example of something like that. In this case, it ran 83
00:13:46experiments. After every experiment, it tried something new and it has a log showing here's what we tried,
00:13:52here's what worked, here's what didn't. And after 83 experiments, it had 15 improvements. And this was all
00:13:58done automatically. Again, this is sort of like a machine learning type thing in a box that we can add the
00:14:03cloud code. The cool thing about this project is it's also pretty lightweight. But remember, we can't use
00:14:08this for everything. We need to be working on some sort of application or some sort of task that has
00:14:13very specific success criteria that is objective. Again, think of time and numbers. Next up, we have
00:14:19the Supabase CLI. And I love Supabase because it has a generous free tier. And it covers a lot of our
00:14:25bases when it comes to creating applications. So imagine you're creating a website that has a form
00:14:29submission that includes somebody's emails. You're trying to grab emails. Well, where are those emails
00:14:33going to live? Well, they need to be in a database. Supabase can handle that. It can create the databases
00:14:38from cloud code. I just say, hey, use a Supabase CLI, create a database that makes sense. And it will do
00:14:43all of it automatically with natural language. It also handles things like authentication. So do you need
00:14:49some sort of login for your website? Well, Supabase can do that as well. So it allows us to do a lot
00:14:53from one place. And again, some of this stuff can get complicated if you've never done it before. But
00:14:58using cloud code and giving it this sort of Supabase tool to use allows it to be very simple. You just
00:15:05use natural language and it will guide you through the whole process. And Supabase is also something
00:15:09you can run locally if you want to do that as well. Next up, we have Obsidian. And Obsidian is one of
00:15:13the easiest ways to improve cloud code's memory. Obsidian allows us to designate folders on our computer
00:15:19as vaults. And these vaults essentially become a treasure trove of information that we put inside
00:15:23of there. And when we open up cloud code inside these vaults, it now essentially becomes connected
00:15:29through this knowledge graph of different documents that we've added. And if we set it up correctly,
00:15:35and I have tons of content on how to do so, this gives cloud code a map of all of our documentation,
00:15:41which means it can answer questions about it, but answer questions about it very effectively and
00:15:45efficiently. Now, there are also skills that we can add to cloud code that help it use Obsidian in the
00:15:50best way. If you just go to GitHub and you search up Obsidian skills, this simple GitHub repo was created
00:15:56by the founder of Obsidian and essentially teaches cloud code the best practices for how to integrate
00:16:01itself into your Obsidian stack. Now, speaking of memory, let's talk about RAG or retrieval augmented
00:16:07generation. This is definitely a step up from something like Obsidian because this isn't like a
00:16:12quote unquote fake knowledge graph. This is the real deal when we're talking about knowledge graphs and
00:16:16embeddings. And light rag is one of my favorite tools for creating these sort of knowledge graph
00:16:21RAG systems. It's lightweight, it's fast, and it's a great introduction to more complicated RAG systems.
00:16:27And again, you can essentially run everything through cloud code. You can do all your queries through
00:16:32cloud code, and it's very easy to connect these two things together. And again, I have content
00:16:36on this exact setup. And once you get comfortable with things like light RAG, you can move into even
00:16:41more advanced stuff like RAG anything, which moves us away from simple PDF and text documents and allows
00:16:46us to include things like images and graphs and charts, things that are usually harder for traditional RAG
00:16:53systems to handle or even systems like Obsidian. And last but not least, we have the Stripe CLI. This is
00:16:58great if you're creating any sort of applications that you want to actually make money from. If you're doing
00:17:02any sort of transactions, you're going to want the Stripe CLI because it makes handling Stripe way
00:17:08easier. The Stripe UI can be kind of a pain in the butt to go through. And again, anything that
00:17:13allows us to control our application and edit it through the terminal and through natural language
00:17:17and cloud code is a huge benefit to you. So that's where I'm going to end this for today. As always,
00:17:23let me know in the comments what you thought. Make sure to check out Chase AI Plus if you want
00:17:26to get your hands on my cloud code masterclass, and I'll see you around.