Shadowing Practice: Claude Code: The Advanced Guide (99% of Devs Skip These Features) - Learn English Speaking with Video

In this video, I'm going to show you nine advanced cloud code features that most people don't even know exist.

We're going to go through custom subagents, skills, hooks, MCP servers, parallel sessions with things like Git Work Trees, Headless Mode, and much more.

Now, every single one of these is going to come with a real demo, so you can see how you would actually use it.

And by the end of this video, you'll be able to set it all up in your own project.

Now, if you want the references in this video, I'll leave a link below.

You can join my school community.

It is completely free and I'll have everything here so you can follow along with a text-based guide.

With that said, let's get into it and look at the first feature.

So the first feature on my list here is custom subagents.

Now, most people know that Claude is capable of creating its own subagents.

That means you can give it a prompt, and automatically it can delegate to other agents or do things in parallel, right?

So it can have multiple agents running at the exact same time.

Now, Claude will do this automatically, and it can make its own agents without you doing anything.

However, you can also create your own custom sub-agents that Claude can then invoke.

Now the way you do that is you create a .claud folder, you then create a nested agents folder, and inside of there you create some markdown files that specify what the agents are.

So you can see I have two here, I have a debugger agent and a reviewer agent, and the format and syntax looks like this.

Now you don't need to manually write all of this yourself, you can tell Claude to create the agent spec for you,

but when you have this it will specify a list of agents that Claude can then invoke.

So you'll notice we have a reviewer and a debugger and for these we have a name, description, the tools that they're allowed to use, as well as optionally the model that we want them to run.

This can be helpful especially if you're running a lot of subagents to reduce the cost.

So once we have those set up what we can do is run Claude inside of our project

so inside of the subagents folder here and

if we want to make sure that these subagents are appearing we can run slash context.

When we do that it should show us here that we have two custom subagents.

You can see they're specified right here.

And then if we ask Claude to do something that would involve invoking the subagents, you should see it spin that up automatically.

So for example, I may say something like, please review this PR before I merge it.

Tell me if there's any issues.

Okay, let's go ahead and press on enter.

And we should see that it pulls up our reviewing subagent here and does that automatically.

Boom, so you can see I'll have the reviewer agent examine.

And then you can see that it is calling the reviewer subagent and running that in its own thread.

Okay, so we can see the review agent is done and then we get back the overall response.

And effectively what Claw does here is it will invoke the sub-agent

and then it will only take the response from that sub-agent

and bring that into context for the main thread that we're currently chatting inside.

The reason this is important is it means

that our main thread stays a little bit leaner

so we can have separate context windows for each of the individual sub-agents

that only need to know what it is that they're specifically working on, which typically will give us better accuracy than doing everything in one massive thread where

when we start getting near the context window limit, as you guys probably see the agents start to get a lot dumber.

So that's custom subagents.

I would only create them when you want to delegate things out of the main thread, when you want specific rules to be set up in terms of tools, read-only models to be used,

et cetera, but they are super useful and you can create them in the way that I showed you.

Moving on, we talk about skills, but I'm going to show you some advanced features that you haven't seen before related to them.

If you're unfamiliar, a skill is just a markdown file

that outlines a set of procedures or a set of steps that are kind of like a reusable workflow.

Rather than constantly telling the model to do the same thing over and over again, you create a skill, so it's kind of a reusable workflow, and then you can trigger.

Now, the model can automatically call the skill, and it will discover it when it needs to use it, or you can manually invoke the skill yourself and force the model to go through the process.

Now, that's actually the first feature of skills that I want to talk about here.

first skills sit inside of .clawed slash skills, similar to how we have this agents folder for the subagents.

You can make them manually by writing them yourself.

You can ask the agent to create them for you, or you can import them from something like a GitHub repo or someone else's skill that's already been written.

Now, when you create the skill, you'll see that you can have a name and a description, and this is the only thing the model will see before it decides to invoke the skill.

Now, inside the skill, you then have all of the steps.

Now, another interesting thing you can do is add this flag called disable model invocation to your skill, which most people don't know about.

Now, what this will do is actually tell the model whether

or not it can call this skill itself or whether you have to invoke it manually.

So when you set this to true, essentially that will prevent the agent from automatically loading this skill.

So it won't sit inside of the context.

And this will only be used when you invoke the skill yourself.

So I'm going to show you what I mean by that.

But if I go into my terminal here and I invoke Claude from this folder, First, we can type slash skills and see all of the ones available.

So you can see that we have this deploy skill and this rollback skill.

These are project based skills.

So they're just available in this specific folder.

And you'll see that one of them is locked because I have that disable model invocation.

Now, if I want to actually run that skill, I can invoke it manually by just typing slash rollback, and then it should go through the process of actually invoking the skill.

Now, I'm just gonna cancel it for right now because I don't wanna do that.

Alternatively, if I wanna run a different skill, so let's say maybe the deploying skill, I can actually add an argument to this when I run it, so slash deploy and then staging,

so you don't just have to do the slash command, You can say afterwards what you want to be done.

Then again, Claude should find the skill, discover it, figure out what needs to be done, and then go ahead and actually run the entire process.

I'm not going to walk you through the full thing.

I'm sure you guys understand what skills are.

I also could tell Claude to do something

that would involve invoking the skill and then it would just figure it out and call the correct one.

Point is that they have a few more features and wanted to show you that kind of locking feature, which is quite useful when you want to have to manually invoke it

and not accidentally have the model do it on your behalf.

So the next feature to talk about is called hooks.

Now this is a much more advanced feature, it really deserves its own video, but I'll quickly cover it here so you can look into it more if it seems useful.

Now Claude has a bunch of different events that will happen throughout its agentic loop.

The events look something like this and while they look a little bit confusing, you can at least get an idea of kind of the flow.

For example, we have session start, user prompt submit, pre-tool use, right?

You get the idea and all of these things will occur throughout some kind of process while you're using Cloud Code.

Now, what you can actually do is you can hook into these events

and you can trigger a bash command to run whenever these events occur.

So for example, if we scroll down, you can see all the events like session, start, setup, user prompts, submit, whatever.

So you can do something like, hey, whenever it's set up, I want to automatically create a markdown file, or I want to automatically test my application.

Or hey, after we use a tool or before we use a tool, I want to make sure that tool is permitted.

You get the idea, okay?

So there's a lot of interesting stuff you can hook into here to customize how Claude works.

And the way you do that is by writing a config file that looks something like this.

So let me show you an actual example here on Windows.

You can see that this is an example of a config file

that you can create right inside of a hooks folder inside of Claude.

So what you'll do if you want to create hooks is you'll create a Claude folder, you'll create a hooks folder, you'll create a settings.json, and then the hooks can include different files

that you want to actually run or different scripts that you want to run when an event occurs.

So for example, what we have here is post-tool use and pre-tool use.

And what will happen here is that we're going to match against edit and write.

100

And whenever there's a tool that has edit or write, we're going to run this Python, Claude, Hooks, Format, Hook.py, Python script.

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So that's going to automatically format all of the code for us before any tool is ran.

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Or sorry, after any tool is ran.

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Then we have pre-tool use.

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And what this is going to do is run the block dangerous.

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So what that's going to do is it's going to block any dangerous commands

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or whatever from being ran before it allows those to run.

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So if we have an exit code two, that means block the tool call so that it cannot work in Claude.

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I'm not going to go through exactly how you set it up, but the point is we can have these hooks and I'm going to show you now how they actually work.

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So let me get out of Claude.

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Let's change into the other directory, which is 03 hooks and let's run Claude and give it some prompts.

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You can see how they trigger.

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Okay.

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So we're just going to say something like add a function called get average age to messy.js

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that returns the average age of all of the users.

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Okay.

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And let's see what we get here.

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So you can see we're reading a file, messy.js, searching for a pattern.

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Okay.

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So we're going to go, yes, we do want to allow this.

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So let's proceed.

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Okay.

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Keep going, read file.

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And we should see that the hook will actually trigger now because it's gone with that process.

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Perfect.

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So you can see the post tool use hook then ran prettier on the file automatically.

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So the whole file got reformatted after my edit.

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So you can see this ran, right?

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Both our hooks went through and essentially it just worked, right?

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So we didn't need to do anything.

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It just automatically formatted the file.

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And if we go back here, maybe we can have a look at, let's see here, message.js and you can see that it was formatted.

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So the next feature I want to show you is related to MCPs or model context protocol.

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Now, these are servers that you can add inside of Claude that allow you to connect to external tools.

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Of course, there's tons of different MCPs that are worth adding and I'll make an entire video on that.

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But one that I want to highlight here that I've been using a lot recently is Granola.

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Now they've kindly sponsored this video and been a long-term partner of the channel, but this is an AI note-taking app

137

that I use pretty much every single day that automatically transcribes your meetings without joining your call.

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So rather than having that little annoying note-taker that joins in, it just sits on your computer, it reads your computer audio, and it keeps track of all of your notes,

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keeps track of your calendar and sends you reminders and then saves everything in a nicely formatted way.

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So you can view it and also pull it into AI to have additional context.

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So earlier this year, they actually released an official MCP server.

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You can see I'm connected to it right here.

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It allows us to query all of the different meetings

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and I want to show you just in live time how it works.

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Using the Granola MCP server, tell me what I learned in my most recent Indonesian lesson.

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And that's because using Granola, I actually automatically transcribe all of my lessons with my teacher.

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So it should tell me some words that I actually learned here.

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Let's see.

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Cool.

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So we can see it pulled the most recent transcript and gave me all of the information.

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Now we'll just open up the UI so you can see what it looks like.

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Notice that we have the Indonesian language lesson, a bunch of other stuff that I was going through, and you get the point.

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Granola is great.

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Download it from the link in the description.

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And now let's move to the next feature.

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So the next feature to discuss here is work trees.

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Now this is super useful whenever you're going to run Claude in parallel

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and you want to make sure that agents aren't changing things that other agents are working on.

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It's effectively essential if you want to have multiple agents that are working on the same pieces of projects.

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Now work tree is really an isolated copy of your project that's on your own computer.

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It's similar to something like a git branch but it differs just slightly and works better with agents.

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Now you don't really need to understand the mechanics of the work tree, but what you need to know is how to invoke one and create one.

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Now, Claude will sometimes do this automatically for you, but you can do it manually and it's best practice to create it on your own.

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So for example, I'm inside of a folder, you know, work trees, right, where I have a quick demo setup.

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What I can do is run Claude, but rather than just running Claude, I can add this work tree flag.

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Now for the work tree flag, after this, I can do something like fix delete bug.

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Now what I'm doing is giving this work tree a name, And when I go ahead and press on enter here, Claude is now going to be running inside of my folder,

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but inside of this work tree.

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So it's on its own isolated version, which is essentially a copy of whatever was inside of my project.

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And from here, I can give this a prompt.

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So let me just copy this in, read bug.md, reproduce the bug, right, find the root cause and fix it.

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And then at the same time, I can create a new work tree and another terminal.

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So Claude work tree, and let's go maybe feature dark mode or something, because we want to add a dark mode feature.

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And again, I'm just going to copy in another prompt from here.

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Let's put it in this, I don't know, auto mode and same thing here.

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Okay.

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So let's go.

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Yes.

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And just put it in auto mode and you'll see

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that both of these are now going to work in their own repo or own copy of the repo.

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So they're not accidentally going to mess something up.

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All right.

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So we can see that both of the agents have finished.

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So now let's just open up another cloud code session here.

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This one I didn't put in a work tree and I'm going to say, can you find all of the changes

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that have been made across the different work trees for this repo

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or for this project and tell me which ones are there and just ensure that they are actually in isolation.

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And then I want to combine them together.

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Okay.

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So let's press enter here.

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And by the way, if you guys are wondering what I'm using to dictate, I'm using a really cool tool called whisper flow.

192

You can see I have almost 300,000 words at this point.

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I use it literally every single day.

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I do have a partnership with them.

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It's free to try out.

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So I'll leave a link to it in the description, but it's just the fastest way to work with AI, as you guys can see from my own usage.

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So anyways, I would highly recommend from here.

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Let's go.

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Yes.

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I'm just going to put this in auto mode so it can run and let's see what it tells us.

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So you can see right away that it found both the work trees

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and now it's inspecting them

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and then what we'll be able to do is actually combine these changes together without losing anything

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or messing up either one of these branches right that we're running in isolation.

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Okay we can see it was able to kind of reconcile all of this together

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and now it told us what was in both work trees

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and then it combined them or merged them so that now everything is in this one repo.

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Anyways that's work trees definitely use them especially when you have multiple agents.

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So the next feature I want to show you here is headless mode.

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And this allows you to run Claude without actually being in the interactive terminal, which is super useful

211

when you want to use this as a part of something like a bash script or kind of a one step process.

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So I'm just going to show you a few really quick examples.

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And of course, if it's going to be useful to you, you'll know.

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So you can see that I'm inside of the headless folder.

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And what I'm going to do is actually, let's make sure we get the full thing.

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I'm going to run the cat command.

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So this is just going to log out whatever's in this build log dot TXT.

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And then it's going to pipe that into this where we have clod-p, which essentially is prompt, and then we place a prompt right here.

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So what's going to happen when I run this is clod is going to run, but it runs in headless mode where it's not opening up the interactive window for us, and it just gives us the response.

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So I was able to take the result of the build log, I was able to include that as part of the context in this clod prompt, and then just tell it, hey, why did this fail?

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And then it gave me the response right here directly in my terminal, which means you can then use this as a part of other scripts.

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Now I'm going to show you even how we could use this with something like JSON.

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So for example, now I said, hey, I want the output format to be in JSON and I want to use JQ to actually parse out the result.

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And now we're going to have this in a format where I could use it more kind of reliably in a script.

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So here you can see build failed, gives us the errors, you get the idea.

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Now let's have a look at maybe some of the metadata here.

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So same thing, I'm going to do this again, summarize this build failure in one sentence, output format JSON, and notice this is what the result looks like we get the result, we get the total cost,

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the number of turns and the duration in milliseconds.

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And of course, the cost doesn't really make sense in this context because I have the subscription, but you get the idea.

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Let's do one more.

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So maybe I want to run this, but I only want to allow it to read something.

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So I don't want it to actually have access to a bunch of tools.

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I can add allowed tools read.

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The reason I'm showing this to you is that you don't need to use Claude from the interactive terminal.

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You can trigger it from scripts.

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You can run it on one-off prompts using this command, which I always thought was really useful.

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So to kind of prove what I mean here, notice that I wrote this triage script and you can see

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that what we actually do here is we run this Claude headless mode automatically

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and then get the result and print it out.

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Now I'm not going to run this script, but the point is I can do something like this where I'm actually triggering it inside of a script.

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All right.

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So the next feature that I want to show you here is checkpoints and rewinding.

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Now in order to do this, I'm just going to do a prompt in a new example

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that I have here where I tell it to rewrite app.js from scratch as a single tip calculator class.

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We have like, you know, a quick kind of react example or whatever, and we'll just give this a second here to rewrite it.

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I want to show you how I can roll back

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so we can actually go back to different checkpoints in case Claude makes a mistake.

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So this is effectively the app I had super simple, right?

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Where we can just calculate the tip based on the bill amount splitting between a certain number of people.

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You get the idea.

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Now let's do one more prompt here where I'm just going to tell it to rename every function and its ID, not to touch index.html.

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And hopefully I'm going to have this actually break the app

253

so I can show you how we can roll back to a working version.

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So now you're going to see that actually the app is completely broken.

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And if I try to do anything, it just doesn't work because I intentionally broke it.

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So let's say you were to do that, but obviously unintentionally, and you want it to go back to a previous point.

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Well, Claude will actually checkpoint different builds for you.

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So what you can do here is you can use the command slash rewind.

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Now when you do that, it's going to show you whatever was in the current conversation and you can go back at any point.

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So we have current, we have rename every function, we have rewrite every app, whatever.

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So I'm going to go to rewrite and I'm going to go restore code and conversation.

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Now it brings me back to this stage where if I go back to my application here and I refresh, okay, let's put in a hundred and you can see now the app is working.

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So basically just understand that you have that slash rewind feature

264

so you can always roll back in case you make a mistake.

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Now this next feature is super useful

266

when you want to go back into an old conversation that you had in a particular project.

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So let's say I go into, I don't know, three hooks, right?

268

And I want to go back into the previous conversation that we had at that point.

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Well, in order to do that, I can actually just type claw dash dash continue.

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Now this is going to bring me back into whatever

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that conversation was because the session is stored and saved on our machine.

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There's actually multiple ways to get into different sessions, which I'm going to show you in a second.

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But the point is that you can do this, right?

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So you don't need to always restart a new session.

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You can resume different sessions.

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You'll even notice here that it has various IDs for each session, which you can manually invoke to get back into regardless of what directory you're in.

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So now that you understand continue, let's talk about being a little bit more proactive with our sessions.

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So you saw that random ID we had for sessions previously.

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That's great, but you can actually name your sessions as well.

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So for example, when I run clod, I can do dash n and then call this something like auth refactor.

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Now I've just named the session auth refactor, so it's always going to be saved as that.

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And again, I can give this a long prompt, so let's paste something in like this.

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And notice in the bottom right of my screen that it shows us what session we're in.

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We'll just put this in auto mode so it can go.

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So I'm going to say, look at source, you know, auth.js, make a change, whatever.

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And then we can get out of this session and come back into it any point that we want.

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Okay.

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So let's get out of this.

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And I'm going to show you again, if I want to resume this one, I can do claw dash dash resume and then auth refactor.

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And it's going to bring me right back into where I was before.

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And there's some other interesting stuff we can do in here.

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For example, we can use slash branch.

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Now when we do that, it's going to create a branch of the current conversation, but not override this session.

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So when I do that, notice that I'm now in a branch.

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Okay, and then I can ask it to do something

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that may be risky that I want to potentially have to get back to the main conversation for.

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So let's say actually scrap incremental changes, rewrite the entire module as a class with static methods and see how that looks.

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Okay, and you can see that we're now working inside of this branch of the main conversation.

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Okay, so this is finished.

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And now what I can do if I want to go back to the original branch, so not the one that I just branched off on, I can type slash resume and I can go back into this before the branch.

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So we no longer have those changes that were applied.

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And then same thing, I can go slash resume here

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and you can see we have the branch and I can go back into that.

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The point of me showing this to you is that you can be really clever how you manage sessions inside of Claude.

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There's actually a lot more that you can do

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that I haven't shown you in this video because it's meant just to be kind of a quick run through, but you can name them, you can branch them, you can resume them, you can go in and out of them

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and you can be really clever and have a lot of parallel work going on that's also going to be safe.

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So anyways, guys, with that said, that's going to wrap up this video.

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If you enjoyed, leave a like, subscribe, and I will see you in the next one.

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Bu dersin kelimeleri ve konuşma notları

Bu videoda gölgeleme çalışması için 309 cümle ve 4744 kelime var. Konuşma bölümü 19:30 sürüyor. Konuşmacı hızlı konuşuyor, dakikada yaklaşık 243 kelime; bu yüzden birbirine bağlanan ve zayıflayan sesler duyacaksınız. Kelimelerin %85’i İngilizcede en sık kullanılan 3.000 kelime arasında; geri kalanına başlamadan önce bakmakta fayda var.

Bu videodaki önemli kelimeler

Videodan öğrenmeye değer 15 kelime, telaffuzu ve anlamıyla:

Kelime	Telaffuz	Anlam
skill isim	/skɪl/	beceri, maharet
hook isim	/hʊk/	kanca, çengel
folder isim	/ˈfoʊldɚ/	klasör
script isim	/skɹɪpt/	hat
thread isim	/ˈθɹɛd/	iplik
custom isim	/ˈkʌstəm/	adet, görenek
terminal isim	/ˈtɚmɪnəl/	terminal
trigger isim	/ˈtɹɪɡɚ/	[4, 5] tetikleme, tetik
dash isim	/ˈdæʃ/	çizgi
server isim	/ˈsɝvɚ/	sunucu, server
parallel sıfat	/ˈpæ.ɹəˌlɛl/	paralel
automobile isim	/ˈɔː.tə.məˌbil/	otomobil, araba
authorization isim	/ˌɔːθəɹaɪˈzeɪʃən/	izin, otorizasyon
claw isim	/klɔ/	pençe
lesson isim	/ˈlɛs.ən/	ders, çimke

Duyacağınız deyimsel fiiller

Kelime	Anlam
figure out fiil	açığa çıkarmak
log out fiil	çıkış yapmak
wrap up fiil	paketlemek, (bir şeyi) sarmak

Dikkat edilecek telaffuzlar

Konuşmacı I'm, don't, we're gibi kısaltılmış biçimleri 102 kez kullanıyor. Bunları duyduğunuz gibi kısa söyleyin.

“th” sesleri: thread /ˈθɹɛd/, authorization /ˌɔːθəɹaɪˈzeɪʃən/
“sh” ve “zh” sesleri: dash /ˈdæʃ/, essentially /ɪˈsɛnʃəli/, authorization /ˌɔːθəɹaɪˈzeɪʃən/, isolation /ˌaɪsəˈleɪʃən/, bash /bæʃ/
Uzun kelimeler — vurguyu doğru yere koyun: manually /ˈmænj(u)əliː/, essentially /ɪˈsɛnʃəli/, automobile /ˈɔː.tə.məˌbil/, authorization /ˌɔːθəɹaɪˈzeɪʃən/, interactive /ˌɪn.tɚˈæk.tɪv/

Bu videoyla nasıl çalışılır

Videonun tamamını konuşmadan bir kez dinleyin ve bilmediğiniz kelimeleri not edin.
0,75× hızla başlayın, cümle cümle tekrar edin ve kolaylaşınca normal hıza dönün.
Kendinizi kaydedin ve orijinaliyle karşılaştırın; skill, hook, folder gibi kelimelere özellikle dikkat edin.

Bu videodaki dil bilgisi

Konuşmacının en çok kullandığı yapılar, videodaki sözcüklerin aynısıyla:

Yapı	Videoda
Edilgen yapı be + fiilin üçüncü hâli — kimin yaptığı değil, ne olduğu önemli	is run · is done · be set
Present perfect have/has + fiilin üçüncü hâli — geçmişte olan ama şimdi de önemli olan bir eylem	haven't seen · that's already been written · have finished
İlgi cümlecikleri who / which + cümle — bir kişi ya da şey hakkında ek bilgi	feature, which is · directory, which is · version, which is

Gölgeleme Tekniği Nedir?

Gölgeleme, başlangıçta profesyonel tercüman eğitimi için geliştirilen ve çok dilli Dr. Alexander Arguelles tarafından popüler hale getirilen, bilim destekli bir dil öğrenme tekniğidir. Yöntem basit ama güçlüdür: ana dili İngilizce olan bir sesi dinler ve hemen yüksek sesle tekrar edersiniz — konuşmacıyı 1-2 saniye gecikmeyle takip eden bir gölge gibi. Pasif dinleme veya dilbilgisi alıştırmalarının aksine, gölgeleme beyninizi ve ağız kaslarınızı gerçek konuşma kalıplarını eşzamanlı olarak işlemeye ve yeniden üretmeye zorlar. Araştırmalar, telaffuz doğruluğu, tonlama, ritim, bağlı konuşma, dinleme anlama ve konuşma akıcılığını önemli ölçüde geliştirdiğini göstermektedir — bu da onu IELTS Konuşma hazırlığı ve gerçek dünya İngilizce iletişimi için en etkili yöntemlerden biri yapar.

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Bu dersin kelimeleri ve konuşma notları

Bu videodaki önemli kelimeler

Duyacağınız deyimsel fiiller

Dikkat edilecek telaffuzlar

Bu videoyla nasıl çalışılır

Bu videodaki dil bilgisi

Gölgeleme Tekniği Nedir?