On-screen text
Agent skills
for beginners
Part One
@aiwithleila
The Prompt Stuffing
Problem
People stuff every instruction into one giant prompt. Brand guidelines, product specs, workflow steps, formatting rules - all loaded every single session.
Your AI has a context budget. It's not infinite. The more you force in, the less attention it gives to each piece. That's why it starts ignoring things.
You don't memorize your entire company wiki before starting a task. You pull up the specific doc you need. Your AI agent should work the same way.
@aiwithleila
What Are Skills?
A skill is a set of instructions that your AI can discover and load only when the task actually needs it.
Here's how it works: the agent reads a short description of every skill available to it. But it doesn't load the full instructions unless the current task is relevant.
You can think of it as giving your agent a bookshelf instead of a textbook. It scans the titles and only pulls down the book it actually needs.
So your context window stays clean. And clean context = better output. Every time.
@aiwithleila
I've been building AI agents
for a while now, and this is
the thing most people get
wrong.
More context does not mean better output. In fact, more words
often just create more noise. The AI spreads its attention thinner
across everything you gave it, and the important stuff gets buried.
Skills fix this because:
• They're not always on. The agent only loads them when they're relevant.
• They keep the main prompt small. Less noise, more focus.
• They're modular. You can add 20 skills without slowing anything down, because only 1 or 2 load per task.
At the end of the day, skills don't make your AI smarter. They
just make the right information easier to find at the right time.
@aiwithleila
THE CONTEXT BUDGET
WITHOUT SKILLS
NOISE
NOISE
NOISE
CONTEXT
WINDOW
WITH SKILLS
CONTEXT
WINDOW
SKILL
CLEAN CONTEXT = BETTER OUTPUT
OFF NOT
ALWAYS ON
SMALL
PROMPT
MODULAR
What Makes a Great Skill
• The description is everything. If your agent can't find
the skill based on the task, the instructions don't
matter. Write the description like a label, not a paragraph.
Short, specific, packed with the words your tasks actually
use.
• Keep the main instructions minimal. Think quick-
start guide, not data dump. If you have heavy reference
material, link to it separately so the agent only pulls it
when needed.
• Define "done" clearly. A great skill removes ambiguity.
It tells the agent exactly what success looks like. If your
skill adds more confusion, it's not helping.
• One skill = one job. If a skill applies to every single task,
it's not a skill. It's a rule you haven't admitted to yet.
@aiwithleila
6 Skills to Start With
• Brand voice: How you sound. Tone, vocabulary, what you
never say.
• Content types: One skill per format. "How to write a case
study" is different from "how to write a social post".
• Product knowledge: What your product does, how it works,
key specs. Loaded only when the task touches product.
• Audience profiles: Who you're talking to. Pain points, goals,
language they use.
• Review checklist: How to verify the output is actually good
before you ship it.
• Research process: Where to look, what sources to trust,
how to summarize findings.
These don't need to be long. The win isn't word count - it's that
the agent stops guessing and starts following your standards.
@aiwithleila
4 Mistakes Everyone Makes
• The Encyclopedia: Your skill reads like a wiki page. It's too
long and the agent skims past the important parts. Split it
into smaller pieces.
• The Everything Bagel: Your skill applies to every task.
That's not a skill. That's a permanent instruction pretending
to be optional.
• The Secret Handshake: The agent never loads your skill
because the description is too vague or abstract. Rewrite it
using the words you actually say when you describe the
task.
• The Fragile One: It breaks every time something changes
because you hard-coded too many specifics. Keep the logic
general and put the details in separate reference files.
@aiwithleila
The 6-Question Checklist
1. "When should the agent load this? (That's your
description.)"
2. "What info does it need before starting?"
3. "What's the step-by-step procedure?"
4. "How do you prove it worked?"
5. "When should it stop and ask a human?"
6. "What happens if something fails?"
If your skill can't answer all 6, it's not ready yet.
@aiwithleila
Skills are the most
underrated part of any AI
agent setup right now.
Most people are still cramming everything into one
prompt and hoping the AI figures it out. Skills give you a
system that actually scales - more expertise available
without more noise.
I've been using this approach for months and the
difference in output quality is pretty clear. The agent stops
hallucinating random stuff and starts following your actual
standards.
Start with skills. Start small. Build the library as you go.
@aiwithleila
I use Gumloop to build and manage my skill library. It
lets you create, organize, and attach skills to your agent
workflows without touching code. If you're looking for a
place to actually start building this system, it's worth
checking out.
Gumloop
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