Prompts vs AI Skills: Why Going Back and Forth With ChatGPT Isn't a System

I closed the tab and everything I'd built disappeared.

Fifty messages deep into a conversation with Claude, I'd finally gotten a LinkedIn post to sound right. The tone was there. The structure was there. It felt like me. And then I opened a new chat the next morning and started the whole thing over. From zero. Explaining my voice again, my preferences again, saying "shorter" and "more like how I actually talk" again. I think that's the moment I realized I wasn't using AI. I was just having a really long conversation with something that forgot me the moment I closed the window.

And the thing is, I did this for months. I'd sit there going back and forth, 10, 15, sometimes 50 prompts deep, adjusting and re-adjusting until the output was passable. It worked. Eventually. But the process was broken and I couldn't see it because the results kept being good enough.

TLDR

• Most people are prompting AI the way they'd explain something to a stranger every single morning. There's a reason that feels exhausting.
• AI skills are structured files that hold your rules, your voice, your judgment. You write them once. But what goes into that file is harder than it sounds.
• The bottleneck isn't technical ability. So what is it?
• If you've ever spent 50 messages getting one piece of content right, you already know the problem. You just haven't named it yet.

What Prompting AI Actually Looks Like (And Why It Stops Working)

Here's what AI looks like for most people right now. Open ChatGPT, type a question, get an answer. Maybe paste in some text and say "make this better." Maybe ask a follow-up. That's prompting. And it works. I'm not going to pretend it doesn't.

But it's the equivalent of calling a really smart friend every single time you need help, explaining the full context from scratch, and hoping they remember what you like. They won't. You'll spend 15 minutes getting them up to speed before you even get to the thing you actually need.

I did this with everything. Blog posts, email sequences, client onboarding docs. Every single time, starting from nothing. And I'd gotten fast at it, honestly. I could get a decent output in 20 minutes of back and forth. But "decent in 20 minutes" repeated 5 times a day is almost two hours of just... re-explaining myself.

It's like typing your home address into Google Maps every morning for a commute you've been driving for three years.

AI Skills Are Cheat Codes, Not Conversations

So here's where it shifted. You know how in GTA San Andreas you could type "LEAVEMEALONE" and all your wanted stars just vanished? One input. Massive system response. No negotiation.

That's what a skill does.

A skill is a structured document, usually a Markdown file, that contains all the rules, references, tone guidelines, formatting preferences, and quality checks that you'd normally communicate across 50 separate prompts. You write it once. Then every time you need that task done, you point your AI to the file and say "use this."

The first thing the AI does is read the whole document. It understands the rules before it writes a single word. It's operating in planning mode, not guessing mode.

Here's what a skill file might include for something like writing a LinkedIn post for a coach or creator:

• Voice rules: first person, casual register, contractions everywhere
• Structure rules: max 2 sentences per paragraph, hook line stands alone, no chunky blocks
• Content rules: include one real example, end with a low-pressure CTA
• Quality gates: no AI-tell words like "delve" or "in today's fast-paced world," read it out loud before delivering
• Reference files: examples of posts that actually hit the right tone

All of that gets loaded in one shot. No back and forth. No "can you make it sound more like me." The AI already knows what "like me" means.

The Part That Actually Trips People Up

Here's where I didn't expect to get stuck. Building skills isn't really a coding problem. You don't need to be a developer. You don't even need to know what Markdown is. You can build skills right inside Claude's interface now just by chatting.

The hard part is articulation. Being able to clearly say what you want, how you want it, and what "good" looks like for your specific situation.

I've worked with business owners who know their business cold. They can walk into a room and sell. But when I ask them to describe what a good email sounds like for their brand, they go blank. Not because they don't know. Because they've never had to put it into words. The knowledge is there. The vocabulary for externalizing it isn't.

And that's the weird gap. Someone who's extremely technical but can't articulate what they want will build a mediocre skill. And someone who speaks beautifully but doesn't understand the structure will build something that sounds great on paper and breaks the moment AI tries to follow it.

I think the people who are going to be really good at this, and I mean over the next few years not just right now, are the ones who can sit with a business owner for 30 minutes, extract the patterns they don't even realize they're repeating, and translate that into a set of rules an AI can actually follow. That's a different thing than prompting. That's kind of a new skill entirely.

Why Skill Building Itself Is a Skill (And It's Not Fast)

I've built over 50 of these skills now. The first ones took me a week. Now I can build one in a day, sometimes less. But that speed came from breaking a lot of them first. I've written about how experimentation velocity matters more than expertise depth in this new world.

You build, you test, you watch it fail in a weird way you didn't expect, you tighten the rules, you test again. It's not glamorous. It's 11pm and you've had three cups of chai and you've been staring at the same output for two hours trying to figure out why the tone keeps drifting even though every rule looks right. And then you realize one instruction is contradicting another one buried 40 lines down and the AI is just quietly picking whichever one it hits first.

So it does take time. The tools are also changing fast enough that something I built last month might need a rewrite next month. I keep seeing people on Instagram talking about hitting their Claude session limits and just sitting idle until they reset, and I kind of get it. I'm on the same boat. The pull to keep building, keep iterating, keep going one more round is real.

But here's what I keep coming back to. A prompt gives you one output. A skill gives you a system that runs the same way every time, builds on itself, and gets better as you feed it more reference material. The difference in how those two things compound over 6 months isn't even close.

The Part I Haven't Figured Out

I'm not going to pretend I've got this whole thing solved. There's this constant low-grade question I carry around about whether the systems I'm building will eventually make someone like me unnecessary. I think about that probably more than I should.

But the thing I keep landing on is that the prompts aren't the value. The rules aren't even the value. The value is in knowing what to build, why it matters for this specific business, and what "good" looks like when the output hits the screen. That's judgment. And I don't know how to put judgment in a Markdown file. It's the same reason AI consultants fail and operators succeed — the value is in the doing, not the knowing.

So if you're still going back and forth with ChatGPT 50 times to get one piece of content right, I don't think you have an AI problem. I think you have a systems problem. And I think it's fixable. I've written about why coordination beats specialization as your AI upskilling strategy. I'm just not sure anyone's being honest enough about how much work the fixing actually takes.

If any of this sounds like your situation, it's probably worth a conversation.

Book a free call. 30 minutes. I'll tell you honestly if I can help.