Chapter 1: What is the main topic discussed in this episode?
In this episode, Amir takes us through how to use Claude skills to build digital employees.
Chapter 2: What are Claude Projects and how do they function?
We go through AB testing idea agent, marketing insight agent, and then we build one live together.
Chapter 3: What are sub-agents in Claude Code and why are they important?
You're going to learn about what Claude skills is, why it's the biggest thing that happened since sub agents, and how to actually build them yourself.
Chapter 4: What are Claude Skills and how do they differ from sub-agents?
Amir, what are we learning today? Today we're going to talk about cloud skills.
Chapter 5: How do Claude Skills address the context rot problem?
I'm going to tell you what they actually are, how they're different from projects and sub-agents in cloud, and why this matters and how you can actually apply for work.
Okay, and by the end of this episode, are we going to be able to apply cloud skills?
A hundred percent. I'm going to show you, first I want to talk about what it actually is and why it matters, but I'll show you how to use existing skills in cloud that they just came out with and how to create your own and how to apply it for your work. So whether you're in marketing, in data analysis or any sort of document creation, you can actually use skills to do that. Cool.
Chapter 6: What is the process for building a UTM link generator using Claude Skills?
Let's do it. And it has relevant context, memories and tools. So say, for example, you're part of a broader marketing team and you want to create a project that will have a set of instructions to analyze marketing data, for example, or generate a newsletter. And you want it to connect to specific tools, have relevant context and files. So this could be.
a glossary of terms you use within your organization, your brand guidelines, depending on the task it is that you wanted to do.
Chapter 7: How can Claude Skills enhance marketing analytics insights?
And then also have memories generated from the chats that you have within that project. So it's really great for collaboration with other team members. Now you can also use it yourself as well, but really the ability for you to create repeatable tasks and do a certain set of instructions with external tools and data.
So if I'm in a marketing team, this is something that I want to look at and essentially youth and cloud share with my team members and create projects around it. All right. So the only thing with projects, I would say that it's important to one, work with your team members to actually refine the system instructions and then always have relevant context files.
Chapter 8: What are the steps to create a tweet-to-newsletter converter skill?
As your business changes, the data changes, you need to update it and you have to go back and constantly update these context files. And I'll talk about why context is important in this specific session and kind of how it ranks up against skills. Now, the next part of it is sub-agents. With sub-agents, this is more relevant in Cloud Code specifically.
And I actually use sub-agents in Cloud Code to spin up multiple agents. And multiple agents are really great at breaking down complex multi-workflow tasks into individual tasks with specialized agents. So what does that mean? Say, for example, you're building a very complex feature and you want to delegate the front end to one agent and the back end to another.
So within the chat, you can actually spin up these agents to say, hey, Claude, create an agent that will work on the front end using this set of rules and then create another agent to spin up to do the back end for it. And what's interesting is the context is isolated to that conversation window. And so whatever context is provided or gathered in that conversation is actually used as an input.
But those agents have a set of system instructions as well. Now, where things get interesting is skills. And I want to talk about kind of why this actually matters. Skills are automated workflows and tasks that you can apply globally at a project or individual level.
So whether you're an existing project, you have a set of system instructions, you can use skills, which is an add-on or augmented skill set. within that project or individual chat. And it can do a set of tasks, create documents, create PDFs, analyze documents. It can actually help build MCPs for you. You can use skills to create other skills or create visual art as well.
Now, when do you actually use this? It's for very specialized tasks based on the constraints and guidelines and steps built by you, the expert. I think it was Kaparthi a couple of days ago, he had an excellent analogy where it's like AI is essentially your coworker or someone that like reports to you. You want to train it, you want to build the guidelines.
you know, this is not verbatim, but like basically what he was trying to say was, yeah, it's someone that you work with and you can kind of build the constraints around it and guidelines on how you want it to respond to you. And this is kind of similar in some nature.
You can create, for example, let's say you are a paid media expert and you run campaigns for your clients and you want a very detailed analysis on your visit to booked appointments and what the conversion rates look like and how that attributes to the different channels you have and what's performing better than the other in terms of campaigns.
You can create a skill that can follow a set of custom instructions, but also scripts that you can build out yourself to analyze that data. And I want to circle back later on why that actually is important. But what's also interesting is that it actually only loads context when it's relevant to the task.
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