WEBVTT

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If you spend any real time working with AI, you

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probably know the feeling, that frustration,

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explaining the brand voice, pacing the same template

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again, reminding the tool about some rule. Over

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and over. Teaching the AI the same things every

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single chat. It's just so inefficient. Yeah,

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and that leads straight to what people call prompt

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fatigue. You're just duplicating effort. And

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honestly, the results, they're never perfectly

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consistent that way. Right. So today, we're going

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to do a deep dive into Claude skills. This is

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Anthropic's big update aimed at fixing that repetition.

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It's about unlocking really complex automated

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workflows, finally. OK, so our mission here is

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to figure out how these skills shift -clawed

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from a simple chatbot to something more like

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a personalized reusable AI toolkit. We'll define

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what they are, look at the problems they solve,

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portability, combination, and walk you through

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maybe four levels from beginner stuff to building

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your own custom automations. Sounds good. Let's

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start simple. What is a skill? The best analogy

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I've heard is it's like a reusable notebook of

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instructions that Claude keeps handy. A notebook

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of instructions. OK, that sounds like it builds

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in consistency. But how is that really different

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from just adding long custom instructions to

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a single project? It's about memory and separation.

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Think about training a new employee, maybe a

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specialist. You train them once on the rules,

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the process, the tools. They don't need a sticky

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note every single day reminding them how to do

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their core job or what the the company voices.

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They just know. The old way, you had to say,

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write this email in the brand voice, use this

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template every single time. And you'd get slightly

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different results each time. Exactly. Variance

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creeps in. Now you just say, use the marketing

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email skill. Done. So the consistency isn't just

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for one task and one chat. It's system wide because

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the instructions aren't tied to that specific

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conversation anymore. That's it. The big win

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is you stop repeating yourself. Period. And that

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separation, that detachment, it solves two really

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big, really frustrating problems that power users

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have been grappling with. Okay, what's the first

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one? Instructions weren't portable. Meaning,

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if you built this amazing set of rules inside

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a Claude project, like super detailed instructions

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for how to draft legal summaries, those rules

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were stuck, trapped in that project. So if you

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wanted to do a legal summary in a different context,

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maybe inside a project about client emails. You'd

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have to copy and paste the whole block of instructions.

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Right. Tens, maybe hundreds of lines of text.

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Copying, pasting. Ugh. That sounds... Brittle.

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Yeah. And annoying. It really is. And that's

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where prompt drisht happens. You copy it. Maybe

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you misalign or you tweak it slightly because

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it's messy. And suddenly your standard process

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isn't standard anymore. Honestly, I still wrestle

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with managing those huge kind of unreadable blocks

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of instructions myself sometimes trying to make

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sure they're aligned across different places.

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It's a headache. OK, so portability is one. What

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was the second big issue? You could really combine

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complex processes. Like you might have one project

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for writing blog posts and a totally separate

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one for analyzing market data. Right. They live

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in their own little world. You couldn't easily

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merge them. You couldn't just tell Claude, OK,

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analyze this complex sales data and then write

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a blog post about the key findings using the

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blog post rules from that other project. Skills

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fix that. They package instructions up as these

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reusable things available everywhere, web, API,

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desktop, so you can actually combine them. Got

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it. So skills become these modular building blocks.

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Specialized processes you can stack together

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for jobs that need multiple steps. Precisely.

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It lets you mix and match specialized processes

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for those harder jobs, like stacking Lego blocks,

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you know? Right. One block for data handling,

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another for writing style. This is where the

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architecture starts to make more sense. The source

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material had this great kitchen analogy. Can

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we unpack that? Yeah, it really helps make the

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technical stuff clearer. So Claude itself, that's

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the chef. The main intelligence, the brain doing

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the thinking. Okay, the chef. Skills are the

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recipe cards. The reusable standardized instructions.

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Need sourdough bread. The recipe card tells the

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chef exactly how to make it. Same way every time.

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OK, Chef. Recipe cards. What are the tools? I

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mentioned the Model Context Protocol or MCP.

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Right, the MCP. Those are the actual kitchen

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tools, the mixer, the oven, the knives. Technically,

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the MCP is the layer that lets Claude call out

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to external tools and APIs. So it connects the

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AI brain to the real world. Exactly. Things like

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search the web, run code. Create a file. It gives

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Claude the ability to do things beyond just talking.

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Got it. And the last piece was projects. Those

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are the kitchen stations. Yep. Your organized

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workspace, the baking station, the sauce station.

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It's where you bring together the recipe card

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skills and the tools, MCPs, that you need for

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a specific kind of work. It all works together

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in that space. So let's talk about the types

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of skills then. There are three. starting with

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official skills from Anthropic. Yeah, those are

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the ready -made ones. Pre -built, you usually

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turn them on in your settings, often by enabling

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things like code execution or file creation.

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But here's a key warning. Don't just turn them

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all on. If you activate, like, 20 different skills

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for summarizing text, Claude might get confused

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about which recipe card to use. Ah, OK. So be

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selective. Definitely. Less is often more. Then

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you have custom skills. These are the ones you

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build for your specific needs. And there's a

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skill creator tool mentioned that helps people

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do this. without needing to be like hardcore

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coders. Right. That's the personalization engine.

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That sounds powerful. It really is. And the third

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type is community -created skills shared by other

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users. You can grab these, get ideas, but we

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need a big flashing warning sign here. Security.

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OK. If I download a skill someone else made,

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what's the actual risk? Could it just like burn

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through my credits or leak my data? that's exactly

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the danger. Because skills use those MCP tools,

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they can run code, search the web, a badly made

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or worse malicious skill could potentially perform

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token poisoning. Meaning it could run really

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long expensive tasks in the background without

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you realizing burning your usage. Or if it's

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poorly designed, it could potentially send sensitive

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data from your chat to some external place. The

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rule has to be... Only use community skills from

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sources you absolutely trust, like really trust.

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Okay, that's critical. You're essentially giving

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it a script to use your account's abilities.

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Trust is paramount. All right, before we get

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into the practical levels, there was that one

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crucial tip. Just turning on a skill doesn't

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mean Claude always remembers to use it. Yes,

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this is super important. You need to go into

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your main account settings, into the custom instructions,

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and add this line. Always consider relevant skills

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when responding to my requests. Like a sticky

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note for the chef. Exactly. It's a necessary

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little nudge to remind Claude, hey, check the

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recipe cards before you start cooking. Okay.

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Essential tip noted. Let's get practical. Level

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one. Beginner. Just using a ready -made skill.

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No changes. Right. Simple example. The built

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-in theme factory skill. Say you need a landing

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page for a new product, maybe Creative Coffee.

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You just give Claude the content, maybe some

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visual ideas, and ask it to create a landing

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page based on this. You don't even have to name

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the skill. And Claude just figures out, ah, Theme

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Factory is the right tool, applies formatting,

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and gives you the page. Yep. No manual template

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stuff needed. Another easy one is the document

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creation skill. Ask for an internal FAQ for a

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new feature. Boom. Claude uses the skill to format

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it nicely, headings, bolding, structural, because

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the skill defines what a good document looks

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like. OK, that's straightforward. Moving up to

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level two, intermediate. This is about tweaking

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an official skill to make your own branded version.

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Let's use that email template example. Yeah,

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this is where you start saving serious time.

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You take a sample email, one that's perfectly

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on brand for your company, attach it. Then you

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tell Claude, essentially, read the official email

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writer skill, but create a new one called my

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brand email. And you reference the original one.

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Yes. That's key. You reference the parent skill,

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so you don't have to rewrite all the basic email

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logic. But then you add your specific rules,

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use these exact fonts, these brand color hex

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codes, and always end with best. the ABC team.

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So you've customized a core function without

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building it from the ground up. You upload that

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new skill file, and now anytime you ask for an

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email. Write an email about our summer sale.

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Cod automatically uses your closing, your formatting,

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every time. It's like having an assistant who's

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actually read and memorized the brand style guide.

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Intermedia is realizing the official skills are

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just starting points you can build on. All right.

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Leading us to the big one, level four, advanced

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combination. automating a whole workflow by chaining

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skills together. The full content creation engine

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idea. Okay, this is where the magic happens.

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We need two custom skills first. Step one, build

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an SEO keyword research skill. This one uses

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the web search MCP tool. The instructions tell

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it. Find five good keywords, three related questions

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people ask online, and format it all as a clean

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markdown table. Okay, skill one, research. Step

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two. Step two, a blog writer skill. This defines

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the output. It must have a TLDR summary at the

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top. It must use those research questions as

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each two headings, and it needs to use a specific

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voice, say, friendly and simple. Got it. Research

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skill, writing skill. Step three. Step three.

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Create a dedicated project, maybe call it Anne's

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Kitchen Content Studio. Inside that project's

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custom instructions, you put the directive. For

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all blog posts and SEO content, always use the

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SEO keyword research and blog writer skills.

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You're telling the chef at the station which

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specific recipe cards are mandatory. Okay, the

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setup is complete. Now the test. You give Claude

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a really simple prompt. Like, create a blog post

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about making great chicken foe at home. And what

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happens? You watch the chain reaction. The blog

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writer skill gets the prompt, knows it needs

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SEO data, so it triggers the SEO keyword research

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skill. Which uses the web search tool. Right.

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The MCP tool fires, gathers the keywords and

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questions. That data flows back into the blog

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writer skill, which then constructs the entire

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post TLDR headings from questions, simple voice,

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fully formatted, totally optimized, following

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every single rule we set. Whoa. Okay. Yeah. Imagine

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scaling that consistency across like an entire

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content calendar or for multiple clients. That

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is workflow magic. The consistency is absolutely

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the core value here. And you know, workflow is

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a good candidate for becoming a skill if it meets

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certain criteria. Is it repeated often? Does

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it need training? Does it need a consistent format?

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Right, those checks from the source. Do you do

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this task three plus times a month? Would you

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need to train a new person on it? Does the output

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have to be consistent every time? If you're hitting

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yes on two or more of those, yeah, probably worth

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building a skill. Now, a few hard -won tips from

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using these for a while. First, usage limits.

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Especially on Pro plans, skill -changing tools

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can eat tokens. So focus on skilling up your

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most repeated, highest -value workflows first.

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Good practical advice. And there was that creative

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hack, maybe using another AI, like ChatGPT, just

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to draft the skills code structure based on your

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instructions to save your clawed tokens for actually

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running the skill. Clever, yeah. Also remember,

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skills are static text files. They don't update

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themselves. If they rely on an external tool,

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like an API, that changes. Your skill might break.

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So build in a fallback. Like what? Like in the

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instructions. If the fancy keyword tool API fails,

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just do a standard web search for keywords instead.

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Plan B. Smart. And the simplicity rule. One skill,

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one job. Don't make a monster skill that tries

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to do 10 things. Please don't. It'll likely get

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confused or fail. And naming. Use clear names.

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SEO, blog writer skill. Not my skill too final.

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You'll thank yourself later when you have a dozen

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of these. OK, let's try and pull this all together.

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The big idea seems to be that Claude skills really

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shift Claude from just being a chat interface

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into being this personalized, reusable, portable

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AI toolkit that's actually built for real work

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for production. Yeah, that's it. The key thing

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is that ability to mix and match these predefined

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quality controlled processes. You set the standard

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once, then reuse it everywhere. It lets you,

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the user, step back and focus on the bigger picture

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of the strategy instead of getting bogged down

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in the same repetitive tactile steps again and

00:12:21.690 --> 00:12:24.090
again. You know, the future of how we work with

00:12:24.090 --> 00:12:26.730
these incredibly powerful AI models, it isn't

00:12:26.730 --> 00:12:28.370
just going to be about asking clever questions

00:12:28.370 --> 00:12:30.350
in a chat box. It's really about teaching the

00:12:30.350 --> 00:12:32.750
AI to work exactly the way you work, building

00:12:32.750 --> 00:12:35.509
that automated, consistent toolkit piece by piece,

00:12:35.809 --> 00:12:38.889
one solid process at a time. Start simple, build

00:12:38.889 --> 00:12:39.330
slowly.
