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Welcome to another episode of Microsoft Knowledge Nuggets.

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I'm Merco Peters.

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Today's topic is one you've probably heard

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but might not fully understand.

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Copilot skills, you've heard the term.

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Maybe you've seen a button labeled skills

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or creator skill in some menu and you thought,

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what does that actually mean?

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Is it a chatbot?

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A template, some kind of automation thing.

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Here's the problem.

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Microsoft uses different names for the same idea

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depending on which product you're in.

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In Copilot chat, they call them agents.

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In co-work, they call them skills.

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And in Copilot Studio, they also call them skills,

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but with a slightly different meaning.

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It's confusing and honestly, it shouldn't be.

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By the end of this episode,

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you'll understand exactly what a copilot skill is,

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where it lives and how to create your first one,

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all in plain English.

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What a copilot skill actually is.

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Let's break it down with the simplest definition possible.

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A copilot skill is a reusable instruction set for AI.

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Think of it like writing a job description

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for a temporary worker.

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You wouldn't just say, do some work.

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You tell them the job, the schedule, the expected output

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and the rules to follow, same thing here.

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When you create a skill, you give Copilot three things.

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First, the skills name.

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Second, a description that tells Copilot

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when to trigger it, like, this task matches this skill.

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Third, the instructions themselves.

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The step-by-step process for the AI to follow.

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Here's the important part.

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A skill is not a chatbot that you sit and talk to.

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It's a specialist that only activates when needed.

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You don't have to turn it on or off.

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Copilot looks at what you're asking,

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checks for a matching skill

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and runs it automatically if there's a match.

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The best analogy I've found is a recipe card.

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You have the same ingredients and the same steps every time

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and you get the same result.

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That's a skill.

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Write the instructions once

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and every time Copilot runs that skill,

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you get the same structured output,

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consistent and repeatable with no guessing.

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Now here's where the confusion starts.

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Microsoft has placed skills in three different homes.

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Where skills live?

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So where do skills actually live?

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That's an important question because the home you pick

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determines how much control you get

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and how easy the setup is.

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Copilot gives you three different homes

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to create and manage skills

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and each one serves a different purpose.

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The first home is Copilot chat,

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specifically the agent builder inside it.

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This is your easiest path.

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You just describe what you want in plain English,

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name, description, instructions, everything

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and Copilot builds the skill for you with zero code

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and zero markdown.

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You don't write, you don't touch, you just talk

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and it builds.

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The second home is Copilot Studio.

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The builder's platform for when you need more hands

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on control.

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Skills here live as MD files,

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which are just text files with simple formatting,

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store the long side instructions and workflows.

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You can open them up, edit them directly,

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even add Python scripts if that's your thing.

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It's more powerful, but it's also more involved.

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Now the third home is Copilot Core Work

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and this one works a bit differently.

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Core Work skills are also MD files,

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but they live in your one drive

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under a specific folder structure,

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documents then Core Work then Skills.

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You can write a skill in plain text and upload it

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or use Core Work's built in tools to create one.

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Core Work even runs a quality check after creation

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to test whether your instructions are clear enough.

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Here's the thing, all three homes follow the same core concept.

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Instructions are trigger and an output format.

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The packaging changes, but the idea stays the same.

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Let me give you the quick comparison.

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Copilot chat is described and go.

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Simple, fast, no setup.

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Copilot Studio is built in control, more features, more complexity

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and Copilot Core Work is like training a coworker

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to handle a task for you.

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You describe the process once

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and it executes repeatedly behind the scenes.

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Let's start with the easiest one.

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Creating a skill right inside Copilot chat.

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Creating your first skill, agent builder.

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So you're in Copilot chat.

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First thing to find is the agent builder.

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Depending on your interface,

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it might be under a tab called agents

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or a button that says create.

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Microsoft moves things around sometimes,

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but look for the option that lets you describe what you want.

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That's your entry point.

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Let me walk you through a real example.

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Say you take meeting notes all day,

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you know the drill, messy bullet points,

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half finished sentences, action items buried inside paragraphs.

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You want Copilot to turn those into clean structured summaries.

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So you type something like this.

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Create a meeting notes skill that takes messy transcripts

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and turns them into structured summaries

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with action items and decisions.

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That's it, one sentence, no instructions to write,

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no output format to define.

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You just describe the job.

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Copilot takes that description and builds the skill for you.

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It writes the name, the description that tells itself

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when to use this skill and the step-by-step instructions.

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Then it presents everything for your review.

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You read through, make tweaks if you want and test it.

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Here's the process in four steps.

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You describe what you want.

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Copilot generates the skill, you review and adjust,

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then you test with real input.

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When you test, you'll see the output.

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A structured summary with sections for meeting title,

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date, attendees, key decisions, action items,

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discussion topics, and open questions.

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Everything organized exactly how you asked,

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with no formatting, no markdown and no code on your part.

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And here's the knowledge nugget.

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You do not need to write a single line of code or markdown.

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You don't even need to know what a markdown file is.

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You just describe the job and copilot handles the rest.

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It's the fastest way to create a skill.

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And for most beginners, it's all you'll ever need.

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Now, if you need more control, maybe you want to add a Python

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script or a custom workflow, that's when you move

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to copilot studio.

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Creating skills in copilot studio.

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Copilot studio is a different animal.

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It's built for people who want to get under the hood

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and it has three layers to know about.

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Instructions are always active.

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They shape how your agent thinks and responds,

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tone, role, default behavior.

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They run behind every conversation.

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Skills are called on demand.

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They're expert knowledge for specific, repeatable tasks

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and only activate when the trigger matches.

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Workflows are step-by-step processes

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with approvals and conditions.

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If you need a guaranteed outcome

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like routing something to a manager for approval

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before sending, that's a workflow.

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Skills in studio are packaged as MD files or markdown files,

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but they're more than just text.

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A skill can include scripts, templates, and examples

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all bundled together.

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You can attach a Python script for calculations,

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a word template for output, and reference documents,

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all inside one package.

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Here's the anatomy of a skill, MD file.

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At the top is the name, something clear

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and specific like expense calculator.

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Then a description that says when this skill should trigger.

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Use this when a user needs to calculate total expenses

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from receipt data.

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Then a section for when to use it and another for when not to use it.

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This prevents the skill from activating in the wrong context.

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Then the step-by-step instructions.

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Here's a real example.

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Say you want a skill that runs a Python script

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to calculate expenses from uploaded receipts.

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In co-pilot studio, you create the skill.

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MD file and package the Python script right alongside it.

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When the skill triggers, it runs the script,

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processes the data, and returns the result.

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The skill and code travel together.

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Use skills for repeatable expertise, tasks where the AI needs

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to think and adapt.

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Use workflows for strict order and approvals.

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Tasks where you can't afford variation.

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Skills are flexible.

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Workflows are rigid.

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Pick the right tool.

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And there's one more place, skills live,

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inside co-pilot co-work, and it feels different.

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Creating skills in co-pilot co-work.

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Co-work skills live in a different place than you might expect.

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They're stored as MD files in your one drive,

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under documents, then a folder called co-work.

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And inside that, a folder called Skills.

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That's where all your custom skills live.

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And you can open that folder to see every skill sitting there as plain text.

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There are two ways to create a skill in co-work.

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You can write it in plain text and upload it directly to that skills folder.

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Or you can use co-work's built in skill management tool inside the chat interface.

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You describe what you want, co-work creates the MD file

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and saves it to that folder automatically.

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After you create a skill, co-work runs a quality check.

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It tests trigger coverage, whether your skill activates when it should.

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It tests instruction clarity, whether your steps are specific enough.

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And it tests robustness.

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Whether the skill can handle edge cases, you get a report back with results.

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If something's weak, you know where to improve.

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Here's a real example.

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Say you're a real estate agent.

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After every scoping call with a buyer,

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you need to turn your notes into a structured one-pager.

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Budget range, must-haves, deal breakers, next steps.

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You do this every single time.

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So you create a skill called buyer profile assistant.

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You give it trigger phrases like create a buyer profile or summarize client call.

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You tell it to read the transcript, extract key information and fill a template.

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You attach your actual one-pager template

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so the output matches exactly what you need.

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Then you test it, you upload a call transcript and say, run the buyer profile assistant.

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Co-work activates the skill, reads the transcript and produces a summary in chat.

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Then you ask it to prepare the word doc.

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It pulls your template, populates every section, budget, must-have, deal breakers, next steps,

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and hands you a finished document.

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Same format every time, with no manual formatting or copy pasting.

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Co-work skills are built for background delegation.

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You're not sitting there chatting with the AI.

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You describe the process once, attach the templates, define the rules,

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and then co-work executes it repeatedly.

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You just drop in the inputs and get the outputs.

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Those same rules apply, whether you're in studio or co-work.

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What makes a good skill?

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We start with the very name of your skill.

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It needs to be readable to two completely different audiences, humans and AI.

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Humans need to see what the skill does at a glance.

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AI needs to find the right skill when a task matches.

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So go with precise descriptive names.

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Meeting notes summarizer beats note-taker every time.

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Buyer profile assistant works better than client helper.

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Clever names just confuse everyone involved.

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Next up, trigger phrases.

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This is how co-pilot knows when to activate your skill.

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Be specific about it.

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Don't say use this for meetings.

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Say use this when a user uploads a meeting transcript and asks for a summary.

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The more specific your trigger gets, the less likely the skill activates in the wrong context.

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And if a skill fires when it shouldn't, the output becomes useless real quick.

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Now let's talk about instructions.

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Here's the thing most people get wrong.

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Skills are called on demand.

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They're not always active.

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Every time the skill runs, it burns AI processing.

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So keep your instructions short and focused.

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Don't dump your entire company policy in there.

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Just the steps needed for that one specific task.

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Short instructions mean faster execution and lower consumption overall.

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Output format matters too.

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You want to tell the skill exactly how to structure its output.

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Give me a summary with these sections.

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Meeting title, date, attendees, key decisions, action items, open questions.

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If you have a template, a word doc or an Excel file, include it.

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The skill can use that template as a reference and match your existing format exactly.

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Rules and exceptions are where good skills separate from bad ones.

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Think about the edge cases.

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Always flag unclear items.

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Never remove people's names.

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If the transcript is too short, ask for more input.

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These rules prevent the skill from making bad assumptions.

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They act like guardrails that keep the output reliable.

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Avoid ambiguity at all costs.

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Don't create two skills with similar names or overlapping triggers.

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If you have a meeting notes skill and a meeting summary skill sitting side by side,

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co-pilot won't know which one to use.

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The AI will guess and sometimes it'll guess wrong.

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If two skills overlap, merge them into one.

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Keep your skill library clean and finally test and iterate.

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Run sample input through your skill.

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Check the output.

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Does it match what you expected?

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If not, refine the instructions.

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Add a rule.

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Clarify the trigger.

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Then test again.

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Skills improve through iteration.

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Not through getting it perfect on the first try.

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So skills are the specialized workers.

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Instructions are the background policy.

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Workflows are the strict processes.

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How do they fit together?

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The big picture.

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Skills versus instructions versus workflows.

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All right, let's tie everything together now because this is where people get tripped

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up.

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Instructions, skills and workflows are not competing ideas.

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There are three layers that work together and each one handles a different part of the

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job.

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Instructions are always active.

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They shape how your agent thinks and responds.

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Tone, roll, defaults, that's instructions.

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Think of it like the personality and ground rules.

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Be helpful.

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Use plain English.

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Never make up facts.

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That runs in the background of every single interaction whether a skill is active or not.

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Skills package, reusable expertise.

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They are called on demand for specific, repeatable tasks.

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And say, be helpful.

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A skill says when someone uploads a meeting transcript, do this exact series of steps.

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Instructions are the policy.

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Skills are the playbook.

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Workflows enforce deterministic processes.

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This is the strict one.

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Approvals, conditions, guaranteed outcomes.

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If you need something to happen in a specific order every single time.

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Like step one, extract data, step two, root to manager, step three, wait for approval before

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sending.

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That's a workflow.

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No variation.

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No AI improvisation.

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Just execution.

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Here's a real world example.

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To build an agent for your team, the instructions set the tone, helpful, professional, concise,

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a skill handles meeting notes.

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Takes messy transcripts and produces clean summaries.

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And a workflow routes that summary to the team lead for approval before it gets saved.

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Instructions shape the behavior, skills to the work, and workflows enforce the process.

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Now here's what matters for you as a beginner.

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Most people only need skills.

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Instructions come built in with any agent you create.

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They already have default behavior.

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Workflows are for advanced automation scenarios.

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If you're just starting out focus on skills, they give you the most value for the least

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complexity.

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And the naming confusion across all these products.

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It's just marketing.

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Microsoft calls them agents and chats, skills in co-work, skills in studio, different names,

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same core idea.

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Instructions plus a trigger plus an output format.

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Once you understand that, the product names stop mattering.

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Let's wrap up everything we've covered into one clear takeaway.

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A co-pilot skill is simply a reusable instruction set that turns your AI into a specialist for any

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task you do on repeat.

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It's the core idea, nothing more, nothing less.

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Here's where you start.

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Open co-pilot chat today and describe just one task you do every week, maybe a weekly report

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or a meeting recap.

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See what the agent builder creates, then test and refine it.

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You'll be surprised how fast it works.

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I hope this gave you a clearer picture of what co-pilot skills can do.

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If this episode helped you, subscribe on your favorite podcast platform and share it with

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a friend or colleague who's been confused by all the new terminology.