Welcome to the deep dive beat. I am really looking
forward to this one. Oh me too because Well,
let's set the stage here. You think you're a
Claude power user, right? You have a notion folder.
It is packed with 30 amazing prompts But here
is the harsh truth copy pasting them is costing
you time It's costing you money and it wastes
computing power. It is wildly inefficient. So
today we are exploring Claude skills It's a totally
new paradigm. The mission today is simple. We
want to stop teaching the AI our preferences
from zero. Every single time. Right. We will
walk through eight practical skills today. They
transform repetitive tasks into automated, reusable
workflows. It completely changes how you interact
with AI. But, you know, before we build specific
skills, we need to understand the core concept.
We have to look at what a skill actually is.
Yeah. And the meta tool used to build them. Exactly.
Let's explain the problem first. Long -pasted
prompts eat up your tokens. Right. And tokens
are basically the tiny pieces of words an AI
reads and processes. That's right. Heavy usage
limits vanish incredibly fast when you do this.
The AI has to read your entire setup every single
time. It's exhausting. It really is. It wastes
so much computing power just establishing a baseline.
So a Claude skill is different. It is a packaged
workflow. Think of it like teaching a chef your
favorite recipe once. Oh, I like that analogy.
Yeah, instead of explaining what a kitchen is
every time you want a sandwich. Right. And behind
the scenes, these are stored as skill .md files,
basically a hidden text file saving your exact
workflow steps. Exactly. They don't clog up your
context window. They only load when you need
them. You just call them using a slash command
and the skill name. You know, I have to make
a vulnerable admission here. Beat, I still wrestle
with this myself. I literally just copy paste
my favorite massive prompts from Notion every
morning. Oh, we all do it. It's a hard habit
to break. It is. And that is exactly why we are
starting with skill number one, the skill creator.
The tool that builds the tools. Right. With the
skill creator, you don't input a short prompt.
You describe your full workflow, start to finish.
Let's look at the YouTube brand scout example.
That was a fascinating use case from our sources.
Yeah. Finding brand sponsors on YouTube channels
right now. You tell the skill creator your exact
step -by -step process. You want Claude to scan
a transcript. You want it to identify brands.
Then you want it to format them into a table.
And you need specific recommendations, like strong
fit or skip. Wait, so if my description is vague,
how does Claude know what I actually want the
skill to do? That is the genius part. Claude
proactively asks follow -up questions to lock
down the exact workflow criteria before saving.
It forces you to clarify. Then you test it with
real inputs. So Claude asks follow -up questions
to nail down the exact workflow steps. Exactly.
It interviews you. That makes sense. Now that
we know how to build skills, let's pivot. Let's
apply this to a very common daily task, creating
and refining written content. Yeah, writing is
where most people spend their limits. This brings
us to skill number two. Hook Forge. People spend
hours agonizing over opening lines for articles,
for social media. Oh, just staring at a blinking
cursor. It's painful. Hook Forge automates that
friction. You just provide the topic, the audience,
and the content summary. The skill then generates
multiple hook variations, and it doesn't just
give you the text. It provides the angle and
explains why it works. It teaches you the psychology.
Right. But once you have that draft, you hit
another wall. The draft sounds robotic. Yes.
Which brings us to skill number three, the humanizer.
AI content has a very stiff flavor. It relies
on statistical averages. Exactly. It picks predictable
words. The humanizer edits AI -generated content
to improve flow. It increases sentence variety.
It removes those predictable AI transitions.
Like Delvin. Furthermore. Yes, it hunts those
down, but it's careful. With Humanizer, it preserves
the author's voice instead of overwriting it.
With Humanizer, is there a risk that it completely
erases my personal writing style to make it sound
human? You would think so, but the specific instruction
in this skill is guarded. It preserves your original
meaning. It acts like a polish, not a rewrite.
Got it. It preserves your unique voice while
removing those robotic AI clichés. Yeah. It makes
the AI invisible. Sometimes the words are perfectly
human, though, but the format is wrong. Or the
complexity is entirely wrong for your audience.
Beat. Let's explore reshaping information. See,
this is a huge bottleneck. You have the research,
but you need visual structure. Enter skill number
four, the infographic builder. Right. Imagine
a dense 20 -page report. This skill extracts
the key ideas. It removes the fluff. It creates
a scannable outline. With a title and headings.
Yes. And even visual suggestions. It is totally
ready for design. It bridges the gap between
text and design. But sometimes format isn't the
issue. Sometimes it's the sheer complexity of
the language. Claude loves to over -explain.
It really does. It gives you every nuance. That
is why we have skill number five, Caveman. I
absolutely love that name. It's perfect. This
workflow forces Claude to use simple language.
Fewer words. Absolutely zero jargon. It is amazing
for token reduction. And for explaining complex
things to beginners. But let me ask you this.
If the caveman skill cuts out so much text, aren't
we losing the actual factual value of the original
content? It seems risky, but no. Caveman targets
jargon and filler words. It targets those long
introductions. The core information remains totally
intact. Right. It cuts the fluff and jargon,
but keeps the core message entirely intact. Exactly.
It just removes the cognitive friction. We've
completely stripped the fluff. Before we talk
about scaling this exactness, let's take a quick
pause. Sponsor. And we are back? We have reshaped
text. But what if we need to scale content across
platforms or apply this precision to software
engineering? Scaling and coding require extreme
precision. Let's look at skill number six. Expand
and contract. This is a style -neutral skill.
Completely neutral. You can tell it to expand
a short thought with context and examples. Or
you can contract a massive report into a tight
summary. Without losing the original tone. Right.
It's like an accordion. You turn one idea into
a tweet, then a newsletter, then an essay. The
tone stays locked. That is incredibly useful.
But... Let's transition to pure logic. Let's
talk about code. Still, number seven, the Carpathy
guidelines. This is vital for developers. Yeah,
inspired by Andrei's Carpathy. This workflow
forces Claude to understand existing code before
making edits. That is a massive shift. Normally,
an AI just overwrites things. Exactly. It acts
like a careless junior dev. This skill forces
it to prefer small, focused changes. It has to
explain decisions. And highlight side effects
and risks. Beat. Whoa. Two secs silence. Imagine
an AI instantly understanding the context of
an entire massive code base just to safely inject
one tiny perfect line of code. It is mind -blowing
to watch. It stops you from breaking production.
Is the Carpathy skill mostly for writing brand
new apps from scratch, or does it have another
purpose? It can start from scratch, but it is
actually most valuable for reviewing, fixing,
and modifying existing complex project code bases.
Ah, it actually shines when reviewing and safely
modifying existing complex project code bases.
Yeah, it's a critical safety net. So, if we can
trust Claude to evaluate code base risks. We
can use it to evaluate real -world risks. That
sets up our final workflow, skill number eight.
decision framer. Moving way beyond a simple pros
and cons list. Right. It evaluates complex choices.
Let's use the sources example. You are choosing
between launching a paid newsletter, an online
course, or a membership community. Those are
tough, compounding choices. Very tough. Instead
of recommending just one, the skill surfaces
your assumptions. It highlights risks. It maps
out the consequences of each trade -off. Exactly.
A community needs daily moderation. A course
is heavy up front. The framer provides a structured
framework when intuition isn't enough. So I plug
in my problem with decision framer, just make
the final choice for me. Not at all. The AI's
job isn't to choose for you. It highlights the
consequences of each path, so your human judgment
is better informed. No, it highlights trade -offs
and consequences, so you make a highly informed
choice yourself. Precisely. It sharpens your
strategic thinking. We have covered a lot today.
Let's synthesize the big idea here. The overarching
critical insight is that a usable Claude skill
starts from a repeated workflow. Yeah. Not from
a clever prompt. Right. It is not about generating
more prompts. It's about building a library of
reusable systems, systems that perfectly match
how you work. You are creating automated habits.
It frees you from the tedious setup phase entirely.
I want to leave you with a provocative thought.
Beat. If AI can now standardize and automate
all of our repetitive workflows and frameworks,
What uniquely human, messy, creative skills should
you be focusing your newly freed up time on?
That is the question of the decade. I highly
encourage you to take action on this. Pick just
one repeated task you do every week. Turn it
into a skill today. Test it out. See how it changes
your workflow. Start building your library. Thanks
for joining us in this deep dive by UTRO Music.