Shadowing Practice: Figma Agent Skills | How to write skills you will actually use - Learn English Speaking with Video

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we're going to look at how to build custom skills in figma to use them in figma agents and figma make

let's jump in now there's lots of things

that are named skill right now in the ai space

so let's clarify so let's say you've connected your claude

or your codex or anything like that into figma using the mcp then in

that mcp sort of connection there are certain skills

that allow let's say a claude to interact with figma like figma generate design or figma implement design or generate

library now these skills are ones that

when you prompt claude you don't have to tell it to

use the skill you just say hey i want you to

create blah blah blah then it looks through all of the skills

that it knows and selects the correct one the skills we're going to be building

and using inside of figma agents are actually skills that are ones

that you have to sort of slash and type in to invoke them

and they're more like repeatable reusable prompts all these skills are

written in the same way in the same format they're all md files markdown files

but just wanted to clarify that these ones are more like a repeatable action

that you have a shortcut into rather than something that

if i prompt figma the right way it might realize

that it should be using this skill now how do we

even go about building one of these i'm in my figma file

and if i go into my agents on the left you can see

that if i open a new conversation i have this plus this is where you can also find connectors

and libraries and websites and all of these good things

but you also have the skills now i can just click use skill

which will just type in a slash and then i can start writing whatever skill I want.

I can add a skill inside of here

which will be either writing your own one from scratch inside of Figma

or you can upload a file we'll be doing both of those in a bit

or I can also manage my skills and browse the community.

There are lots and lots of skills in the community

that people have built and very graciously shared and also some

that come from Figma as well so I'd really recommend checking those out.

Let's build our first skill together.

I have this design that was made with Figma Make

and then I copied it into my design panel and

And something I like to do with all of my designs is I like to sort of break them

when it comes to the text to see that A, I designed them properly, meaning I used the right like auto layouts and stuff like that and nothing will clash.

And also just to see what happens

when I put real life content in here because it's all well and nice when there's just 23 kilograms of coffee beans.

But what if there's more?

Yeah, what if there's loads and loads and loads more?

What's going to happen?

See, like already here, I can see that this is truncating because there's too long text.

Would I want that?

Would I not?

I just need to break it and see what happens.

So you might say, yeah, I could just go in and change the text or I could even select the frame,

open a new agent chat and just ask it to replace all the text content with something really long.

But because I know that I do this a lot, I'm going to write a reusable skill for it.

So all you need to do is prompt the agent and ask it to build that skill.

so without selecting anything on my canvas I just asked the agent write a skill

that replaces any text node with realistic edge case copy long names long values ultra complex data

so there we go it's put

that in for me it's called it stress test copy

but I did change the name to break my copy

because I like that better

and it's telling me I'm going to select one more frames invoke it

and this is what's going to happen now what's really important and I would really recommend that you do is you

actually read the skill yes it's a lot of text

but anything that ai outputs we need to look at

and understand what it's doing

so let's have a look it's explaining what it's going to

do here how you're going to run it the user selects one

or more frames then it will use evaluate script to find

all the text nodes it will infer the semantic role replace the table

so for example oh this is good use these as inspiration always pick something

that sounds like it could appear in a real product.

The point is to expose layout issues with plausible data, not just inject nonsense.

So it's giving it really, it's like a really good detail prompt.

It's saying this is the part, like an inspiration for the person's name, the company name, the job title, all of these different things.

So this is pretty good.

So let's test this in action.

I'm going to select my frame.

I'm going to slash and just, I know that I called it, break my copy.

Yeah, I could just select it from here and then send it on its way and it will run.

Okay, so it says all ATA text nodes have been replaced with extreme HX copy.

The screenshot reveals several layout issues already.

Yeah, thanks.

I can see that.

Okay, so it did it.

It's clearly showing that it is broken now, right?

So I can see that here.

This definitely, what is this set to? it's set to fill

and it's inside some sort of box

that should not have a fixed width right it could span this whole way i could see

that these held up quite well these however did not

but also i'm thinking is this really realistic content did it replace things in the right way not

so sure if we look at it against the original design

so for example in here it says total items across five categories

that didn't need to change the total items across all warehouses across however many categories

and regions like there's things that just can kind of stay as they are

and this is a good example of why you shouldn't really

one-shot anything in AI it's also about good like token usage

and just getting the result

that you want you do need to sort of have a conversation with the AI

and prompt it a bit better so we're going to try

and rewrite this skill again and maybe we just prompt it a bit better.

Now if you watch any of my videos you know

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that I am very bad at prompting but I am really trying to get better at it.

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So I've recently taken this class on Skillshare called Prompting for Everyone by Cassia Pilch.

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I think I'm saying her name right.

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The name of the class suggests that it was just for chat GPT

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but actually she talks about really good prompt engineering techniques that are useful for any model you use.

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She also mentions that during the classes.

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What I really like about this class is there are so many actual examples and actual tips of what you can do.

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She talks about the flipped interaction pattern, the question refining pattern, the cognitive verifier pattern, and I used all of these to make sure

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that these skills come out even better because the prompt was better to begin with.

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If you've not heard about Skillshare, it's an online platform where real people upload video tutorials about different topics.

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There are thousands of videos on there.

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Skillshare are very kindly sponsoring this video and have given me the special link to share with you all.

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The first 500 people to sign up using the link in the description will receive a free month of Skillshare

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so make sure to check it out all right

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so I've taken some cheeky screenshots from this class and some

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and some of the examples of how to prompt a bit better

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and you can see

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that the idea is to almost ask the AI don't just go straight in ask me clarifying questions

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so let's try a new prompt I'm gonna say from now on

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when I ask you to do something suggest a better version of my prompt to use

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that will help me write a top quality high performing fitness skill until you have enough information

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and then I put in the exact same from before.

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So what will happen now is that the Figma agent is going to go into a sort of plan mode with me, which is really great.

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This is also a slightly newer functionality of agents.

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I believe in their first iteration, they couldn't really do this.

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Let's have a look.

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What scope would the skill operate?

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Let's say it's going to be the selected layer only.

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Then it's asking me, okay, let's see.

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So it's already telling me, here's a few things I love to know.

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Feel free to answer them all at once

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so I can just write it down

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or I can go in here let's say I want beyond

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long names of value to cover things like special characters okay

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so it's asking me lots and lots of questions

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and also there's some things here to answer detect the data

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type oh yes definitely not just generic I want it to

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be the correct data type another great question should it save the original text

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or should it just undo manually let's just say undo manually it's offering me an option where

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if i run the skill it will ask me a question back like

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when i run the skill it might say

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which level are we going are we going extreme are we going moderate actually like

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that i'm going to go maximum chaos uh for this time

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great it's saying i have everything i need let me rebuild now

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so once it's building it

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when you create this skill inside of the figma agent it automatically saves

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that skill i can go in and edit it inside of

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that managed skill or i can download it as a markdown file send it to another llm

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or whatever to help me figure it out but um

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when you do create it inside of figma it kind of automatically adds

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that skill into there so worth noting okay so it's created

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that skill it's called stress test copy let's have a look at how it did

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and i'm looking at it kind of side by side with the previous one um a bit better

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definitely so for example it didn't change the name of the brand

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which makes sense

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because why would it it did do some weird stuff here

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okay um it didn't change these interesting it changed this

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and there so it did it it is

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if we look at the previous one it's way less chaotic

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which already i'm liking yes we wanted to stress test

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but we don't want it to stress test like the world is ending

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and everything is now super long

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so this is great before we move on to the next

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skill i just want to show you i used the same prompting kind of questioning technique

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and built another skill again inside of claude

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and i just want to show you what the output of

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that was so just to see how when we use different ai models

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and we prompt it slightly differently the outputs can be varied

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so same original design three skills that are technically supposed to do the same thing

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and three very different outputs so one chaos two slightly better three pretty damn good

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so you You can see here that it broke it, but it really was really conscious about what it was doing.

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So this is the skill that was written with Claude.

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You can see low stock 37.

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It's still more than it was here, but it's kind of keeping it realistic.

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And it's not changing the words like the other ones did.

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Also here, like, it's made some changes, but kept it realistic.

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Though it's still good and long, but it's not, like, chaos.

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So I would say Claude wins on this one.

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I'll include the text of these skills inside of a Figma

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file in the description in case you want to have a look at them and test them for yourself.

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So feel free.

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Let's move on to an example of another skill

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that I have created for myself and I will definitely be using loads of.

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So when I'm doing developer handover, I also like to map out the screen reader or the voiceover interaction and the order of the elements.

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I'm still learning how to do this and how this all works.

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So if you have any notes, please let me know.

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But the way I like to do it visually is something like this.

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So let's say this is the screen.

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I create these little circles with number inside of them

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so I can show my developer this is the order I want it to go with.

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It's going to go there, then that, two, three, four, five, six.

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And for example, in this case, I just skipped the illustration because it adds no real value.

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It's just a decorative thing.

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And then I like to also write out how it should sound because for example, here next, it needs to say button after it or lose weight,

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it should say lose weight option one of four selected

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so there's all of these little bits

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that i want to give as guidance now this is quite a manual task

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and i do think it does require a bit of brain

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but let's try and create a skill and see how it goes

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so i continued on the conversation i had in the previous skill i gave claude a screenshot of this

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and then i said help me write another skill where you can select a frame

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and the skill maps out in what order would a voiceover

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screen reader read out the contents of the screen note with the number circles like the screenshot

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if it can also add a text node where it writes

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all the text content in the frame in the correct order

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that would be great too ask any questions you might have

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so claude thought for a while and then it giving me these few questions

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and you can see sort of telling me these are the

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questions i'm going to be going through what is the role inference

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so do you want me to infer from the layer component naming to know what i'm reading out

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or is it more a visual structural cues only

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and i can also type in something if i want

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so i don't have to just stick to the options

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that it gave me

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so i'm actually going to type something in i'm going to

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say mix of all of these now we're going to go

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on to the order algorithm is it just top to bottom left to right

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or is it because of the content the decorative filter what do you want to do about

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that and then the text node format what should it have should it read it out

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and then we just submit after it worked for a

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while it did ask another question

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which is do you want me to duplicate the frame

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and annotate the copy or just annotate in place

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and i did say let's just annotate the copy it saved it on my desktop as an md file

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and then all i need to do is come into figma

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start an agent's chat go into here skills add a skill then upload a file

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and just find that one so this one is the figma screed reader i'll add that in

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It says I already have one with that name.

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But you can see that I can have all of it inside of here.

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Now, I'm really skeptical about this one.

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So let's run it and see what happens.

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Let's try it on this frame.

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So I'm going to select the frame and then forward slash check reader.

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Okay, so what it did is it did create a copy of it.

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And just on first glance, it actually looks really good.

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Like I'm actually really surprised.

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So it's saying everything's positioned correctly.

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mapped seven stops across the reading um skip top right chevron

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this is like it's telling me this is the order assumptions

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that are made the status bar skipped the logo dots are

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skipped the progress bar skipped okay good assumptions shoe illustration skipped moderate activity market selected

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so it's asking me how does it look it looks great

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so i would say like it says skip instead of next

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but that's fine how actively are currently it's reading everything out option one of five

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that is actually so impressive this is definitely a skill

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that I can see myself using and reusing so that's

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that I wanted to show you a few examples of what

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kind of skills you can create for yourself in Figma

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and also test out the different techniques of actually writing these

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skills I'll say it again read your skills understand them understand what they're doing

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and if they're actually doing what you want them to

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and also work on your prompt engineering techniques I say this

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for all of us I hope you enjoyed please like a

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subscribe leave a comment below let me know what other videos you want to see.

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See you at the next one.

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Vocabulario y notas de pronunciación para esta lección

Esta lección de conversación de nivel C1 se basa en el vídeo “Figma Agent Skills”. Las palabras que más se repiten: skill, figma, prompt, text. Este vídeo tiene 254 frases y 3027 palabras para practicar shadowing. La parte hablada dura 13:48. El hablante habla rápido, unas 219 palabras por minuto, así que espera sonidos enlazados y reducidos. El 84 % de las palabras está entre las 3.000 más comunes del inglés; conviene repasar el resto antes de empezar.

Vocabulario clave de este vídeo

Las 15 palabras más avanzadas del vídeo, con su pronunciación y significado:

Palabra	Pronunciación	Significado
prompt verbo	/pɹɑmpt/	llevar a, concitar
node sustantivo	/noʊd/	nudo, ñudo
screenshot sustantivo	/ˈskriːn.ʃɑt/	captura de pantalla, pantallazo
annotate verbo	/ˈæn.ə.teɪt/	anotar, apostillar
clarify verbo	/ˈklæɹ.ɪ.faɪ/	clarificar
upload verbo	/ˈʌpˌloʊd/	subir, cargar
layout sustantivo	/ˈleɪ.aʊt/	maquetación, impaginación
infer verbo	/ɪnˈfɜː/	inferir
repeatable adjetivo	/ɹɪˈpiːtəbəl/	repetible
reusable adjetivo		reutilizable
undo verbo	/ʌnˈduː/	deshacer, desfacer
manually adverbio	/ˈmænj(u)əliː/	manualmente
decorative adjetivo	/ˈdɛk.ə.ɹə.tɪv/	decorativo
illustration sustantivo	/ˌɪləsˈtɹeɪ̯ʃən/	ejemplo, ilustración
assumption sustantivo	/əˈsʌm(p).ʃ(ə)n/	asunción

Phrasal verbs que vas a escuchar

Palabra	Pronunciación	Significado
come out verbo	/ˌkʌm ˈaʊt/	revelarse, salir a la luz
go through verbo		atravesar
hold up verbo		aguaitar, esperar
sign up verbo		inscribir, alistar

Frases que vale la pena repetir

Frases cortas y completas del vídeo que puedes reutilizar en la conversación diaria:

Let's build our first skill together.
Would I want that?
I'm going to select my frame.
I think I'm saying her name right.
Then it's asking me, okay, let's see.

Gramática en este vídeo

Las estructuras que más usa el hablante, con las palabras exactas del vídeo:

Estructura	En el vídeo
Present perfect have/has + participio pasado — una acción pasada que sigue importando ahora	you've connected · have built · have been replaced
Voz pasiva be + participio pasado — importa lo que ocurre, no quién lo hace	are named · was made · have been replaced

Pronunciación a tener en cuenta

El hablante usa 48 contracciones y formas reducidas, como I'm, don't, they're. Dilas en su forma corta, tal como las oyes.

Los sonidos de “th”: width /ˈwɪtθ/, algorithm /ˈælɡəɹɪðm̩/
Los sonidos de “sh” y “zh”: screenshot /ˈskriːn.ʃɑt/, illustration /ˌɪləsˈtɹeɪ̯ʃən/, assumption /əˈsʌm(p).ʃ(ə)n/, chevron /ˈʃɛvɹɑn/, graciously /ˈɡɹeɪʃəsli/
Palabras largas — cuida el acento: repeatable /ɹɪˈpiːtəbəl/, manually /ˈmænj(u)əliː/, decorative /ˈdɛk.ə.ɹə.tɪv/, illustration /ˌɪləsˈtɹeɪ̯ʃən/, iteration /ˌɪt.əˈɹeɪ.ʃən/

Sonidos difíciles para hispanohablantes:

s + consonante al inicio — sin añadir una “e” delante: screenshot /ˈskriːn.ʃɑt/, screed /skɹid/, skeptical /ˈskɛptɪkəl/, sponsor /ˈspɒn.səː/
/v/ — no es /b/: los dientes tocan el labio inferior: invoke /ɪnˈvoʊk/, decorative /ˈdɛk.ə.ɹə.tɪv/, chevron /ˈʃɛvɹɑn/, handover /ˈhændˌoʊvɚ/, visually /ˈvɪzju.əli/
/z/ — sonora, no /s/: browse /bɹaʊz/, plausible /ˈplɑ.zɪ.bəl/, visually /ˈvɪzju.əli/, expose /ɪkˈspoʊz/

Cómo practicar con este vídeo

Escucha el vídeo entero una vez sin hablar y anota las palabras que no conoces.
Empieza a velocidad 0,75×, haz shadowing frase por frase y vuelve a la velocidad normal cuando te resulte fácil.
Grábate y compara con el original, prestando atención a palabras como prompt, node, screenshot.

¿Qué es la Técnica de Shadowing?

Shadowing es una técnica de aprendizaje de idiomas respaldada por la ciencia, desarrollada originalmente para la formación de intérpretes profesionales y popularizada por el políglota Dr. Alexander Arguelles. El método es simple pero poderoso: escuchas audio en inglés nativo y lo repites en voz alta de inmediato, como una sombra que sigue al hablante con solo 1-2 segundos de retraso. A diferencia de la escucha pasiva o los ejercicios de gramática, el shadowing obliga a tu cerebro y músculos de la boca a procesar y reproducir simultáneamente patrones de habla reales. Las investigaciones muestran que mejora significativamente la precisión de la pronunciación, la entonación, el ritmo, el habla conectada, la comprensión auditiva y la fluidez al hablar, convirtiéndola en una de las metodologías más efectivas para la preparación del IELTS Speaking y la comunicación en inglés en el mundo real.

Técnica de shadowing: lee la guía completa paso a paso →

Shadowing Practice: Figma Agent Skills | How to write skills you will actually use - Learn English Speaking with Video

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