WEBVTT

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Imagine constantly rewriting, say, a 500 word

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instruction manual over and over just to get

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one consistent result from your AI. Right. The

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real headache in a lot of modern AI work isn't

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about being creative, you know. Yeah. It's the

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repetition. It's just exhausting. Yeah. We're

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talking about serious prompt fatigue, that burnout

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feeling. But there's a fix now from a major platform.

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And the key thing is it's actually portable.

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Welcome to the deep dive. Today we're digging

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into the source material on this new AI feature

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they're calling Skills. And this isn't just like

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a minor shortcut. It feels more like a fundamental

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shift, moving away from writing those endless

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prompts towards building reusable, detailed rule

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books for your AI. So we're going to unpack what

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these skills really are, how they stack up against

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older methods like custom instructions, and importantly,

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how you can actually build them and then use

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them across different platforms. Think Claude,

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ChatGPT, maybe others down the line. Yeah, our

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goal today is pretty straightforward. Give you

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a clear map, a way to create these powerful portable

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abilities that could genuinely save you hours.

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Okay, let's unpack that starting point. Before

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this skills idea, pretty much everything relied

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on you crafting that perfect prompt, right? The

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big instruction you feed the AI. Totally. Need

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a financial analysis. Yeah. Okay, write a huge

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detailed prompt. Need a presentation draft. Another

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one. Complex job search plan. Yep, you guessed

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it. Another massive prompt. And doing this day

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in, day out. Yeah. It's mentally draining. You're

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basically tweaking similar instructions constantly.

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And that friction, it just makes hard work feel

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tiring and inefficient. The source used a good

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analogy. It's like having this incredibly smart

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assistant, but you still have to explain exactly

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how to make coffee, exactly how to organize files

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every single morning, that constant reset. It's

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taxing, even with a template. Precisely. But

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why is that constant re -explaining so mentally

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tough when the AI is so powerful? Well, it boils

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down to the mental load, right? Switching context

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and having to double check that every single

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instruction is perfect every single time. So

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what's really interesting is how a skill is defined

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here. It's basically a detailed rule book. It

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holds all the instructions, all the preferences,

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for one specific task. And you only build it

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once. And the key part, I think, is that the

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AI uses the right skill automatically when the

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topic comes up. You don't have to, like, tag

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it or remember to say use skill X. That auto

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detection feels like the real game changer. Oh,

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absolutely. I mean, I still wrestle with prompt

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drift myself sometimes, you know, where the AI

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kind of forgets the complex rules you gave it

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way back at the start of a long chat. This auto

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detection thing, that could be a huge step away

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from that whole problem. OK, so let's try to

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dist - The older methods, like custom instructions

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in ChatGPT, they're sort of like one general

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sticky note the AI always reads, right? Which

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can cause issues. Exactly. That's how you end

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up with your super formal business expert AI

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trying to write a love poem using corporate jargon.

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It doesn't know when not to apply the instruction.

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Skills, though, are different. They're like having

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a whole shelf of specialized books. The AI only

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grabs the Excel data analysis skill book when

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you actually start talking about spreadsheets

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and data. Which makes the output cleaner, more

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accurate. And you can have, what, maybe 20 of

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these specialized rule books ready to go. But

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these complex rules, they need a simple container,

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right? How are they packaged so they can be shared

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easily? Yeah, it's surprisingly simple. They're

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just plain text files, usually marked down, all

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bundled up together in a standard zip file. And

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the nice thing is, you don't need to be some

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kind of prompt engineering guru to get started.

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The AI actually guides you through making one.

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Yeah, the process starts pretty easily in the

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Claude settings. You just find skills or maybe

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capabilities, turn on custom skills, and you're

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good to go. Then you start a chat. Say you want

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to create a new skill. And this seems important.

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You ask Claude to act like an expert in building

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these things. Then it starts asking you the key

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questions. That's right. The AI will ask about

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the primary goal for the skill, the specific

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brand tone of voice you need and who your target

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audience is. It kind of forces you to get clear

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on the basics. The source material gave some

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good examples, like the brand voice was defined

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as a friendly, knowledgeable friend and there

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were ban words, never used cheap or by now or

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shocking sale. The main goal was engagement,

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explicitly not direct selling. And then Claude

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digs deeper. It asks platform -specific stuff,

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like what's the ideal length for a Facebook post

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using this skill? What's the hashtag strategy

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for Instagram? The right tone for TikTok. That

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back and forth really refines it. OK, but hold

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on. If I'm, say, a freelancer juggling maybe

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five or six different recurring tasks, is it

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really worth investing the time to spell out,

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like, 15 super detailed rules for every single

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platform within one skill? Well, that's kind

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of the point of asking the AI to act as the expert

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builder. It asks better, more targeted questions

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upfront. It helps you build that solid foundation

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correctly the first time, instead of you having

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to patch up mistakes later. Saves time in the

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long run. Okay, this is where it gets really

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practical. Let's look at the actual rules from

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the example skill and the storage material, the

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social media content plan skill. Yeah, this was

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cool. For Facebook, the rules were super specific,

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really sticky, length, strictly 150 to 200 words,

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title. always IN, all CPPS, and I have to include

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a main keyword, you must use bullet points. And

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the post absolutely has to end with one open

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-ended question to get comments going. Then for

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Instagram, totally different vibe. Focus on feelings,

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keep it short, under 50 words, period. And crucially,

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the rulebook demanded three specific brand hashtags,

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like hard -coded ones, plus five relevant trending

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hashtags. No deviation. And TikTok was fascinating.

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It broke it down into a ready -made 15 -second

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video script structure. Three scenes. Scene 1,

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seconds 0 to 3, that's your hook. Scene 2, seconds

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4 to 10, present the solution. Scene 3, 11 to

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15 seconds, call to action. It even asked for

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a suggested style of audio. Wow. So, okay, instead

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of writing this monster prompt explaining all

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those platform nuances every single time, you

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just say something simple like, topic, benefits

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of drinking enough water, use my social media

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skill, and boom, the skill handles all those

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detailed platform -specific rules automatically.

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That's the power of systemizing it, right? So,

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when you give that simple instruction, what's

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the key rule that stops the AI from accidentally

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using that short, punchy Instagram caption on

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Facebook? It's that strict length requirement.

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Under 50 words for Insta versus the mandatory

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150 to 200 for Facebook, the rule book kind of

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polices itself based on those constraints. Mid

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-roll sponsor, red placeholder. Now, the part

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that makes this whole concept potentially revolutionary,

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I think, is the portability. Because these skills

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are just structured text files inside a zip folder,

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you can build your rulebook in Claude and then

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just use it in ChatGPT. Exactly. You just upload

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that zip file to a version of ChatGPT that can

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read files, GPT -4 for instance, and then give

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it one critical instruction. Something like,

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act like an AI that follows 100 % of the rules

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inside the uploaded file. So you're essentially

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giving ChatGPT the exact same detailed training

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manual that your Claude skill uses. That means

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you can get consistent on -brand output across

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different AI platforms. You're not locked into

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one vendor. That's huge. Yeah, and there was

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another clever trick mentioned. You could actually

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use a different AI to sort of proofread or upgrade

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your skills rulebook. Use chat GPT to look for

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potential logic flaws in your clog -built skill.

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For example, it might spot that asking for a

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trending background sound for TikTok is maybe

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too vague. You know, what's trending changes

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constantly. And the fix was straightforward.

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Just update the rule. Instead of asking for the

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trending sound, tell it to suggest a type of

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music, maybe lo -fi or happy pop music, something

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the AI can actually deliver consistently. So

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this ability to just take the rulebook itself

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and move it around. How does that fundamentally

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change things for us as users? How does it loosen

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the grip of being tied to just one AI tool? Well,

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skills create these abilities that are truly

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portable and reusable. It shifts the intelligence

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or at least the specific operational rules away

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from the underlying AI model and puts it into

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your hands in a format you can share and control.

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Reduces that platform dependency. So the big

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question then is, when should you actually invest

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the time to build one of these skills? The source

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gave a pretty good rule of thumb. If a task is

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important enough that you'd normally write up

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a detailed training guide for a human, then yeah,

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make it a skill. Makes sense. So that covers

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things like recurring jobs, weekly reports, maybe.

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Yeah. Complex projects like putting together

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a strategic plan. And definitely anything with

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really specific rules you have to follow. Brand

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voice. legal disclaimers, data formatting, that

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kind of stuff. We saw some great specific examples,

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like a PowerPoint outline skill. It could be

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built to always use the five by five rule, you

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know, max five lines per slide, max five words

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per line, and maybe enforce a standard 10 slide

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structure every time, flawlessly. Or imagine

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a basic Excel data analysis skill. It could be

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trained to always follow a set process. First,

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understand the data columns. Second, suggest

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data cleaning steps. Third, run basic analysis

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averages, medians, counts. And fourth, only present

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the results using clear, formatted bullet points.

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No rambling. Whoa. Okay, when you start thinking

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about scaling that, the potential is pretty wild.

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The source hints at a future where maybe there's

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a marketplace. You could just download an expert

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created financial analysis skill and instantly

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plug that sophisticated system into whatever

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AI tool you prefer. Right. So let's say you build

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two foundational skills yourself. One for basic

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SEO analysis, maybe, and another for generating

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meeting summaries. What's the crucial difference

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in the outcome you're demanding from each of

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those skills? Ah, good question. The SEO skill

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would be laser focused on output format, structure,

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hitting keyword targets. Whereas the meeting

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summary skill is all about accurately capturing

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the final decisions made and critically the specific

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action items, who needs to do what and by when.

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Different goals, different rules. So wrapping

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this up. What's the big takeaway here? This deep

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dive really highlights a shift, doesn't it? Moving

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from constantly being in prompt writing mode

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to more of a proactive ability building mindset.

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Yeah, exactly. Skills let you offload that heavy

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lifting of explaining the context and the rules

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every single time, which means your actual prompts

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can become much shorter, much clearer. They just

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trigger the detailed rule book you already built.

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You're essentially building this library of reusable

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systems based intelligence, making complex, often

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repetitive professional to work feel simpler

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and way more efficient. But it's not about stopping

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prompting altogether, right? That's important.

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You still need to tell the AI what the specific

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job is for today. You provide the topic, the

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raw input. But the how is already baked into

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this skill. So if you start building this library

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now, maybe just focus on creating one simple

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skill this week for a task you repeat. Often

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you'll likely be way ahead of the curve. ahead

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of others still grinding out those long, complex

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prompts from scratch every time. Yeah, absolutely.

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So maybe the final thought to leave you with

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is this. Think about one core part of your job

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right now, something that relies heavily on repetition

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and following specific rules. How quickly could

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you automate the compliance part of that task,

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perfectly, every time, with a single portable

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skill?
