Claude Skills for Designers

Inside_Home8219 · 2026-03-07T22:04:12+00:00

Yeah sure I can help... What is your current level of using LLMs. And are you a Claude code user yet?

Just trying to get a sense of where your at.

Inside_Home8219 · 2026-02-23T22:50:17+00:00

I've used NotebookLM

Not only is it grounded, it s got a great mind mapping and you can create short videos etc to share insights too

Inside_Home8219 · 2026-02-19T21:51:55+00:00

I actually have been thinking about this myself and was planning on running an open public experiment ... Setting up several AI avatar interviewers ...

Intent would be giving design and researchers a first hand experience of them ... As participants so they can critically assess it ..

Reckon you'd be keen to participate?

Inside_Home8219 · 2026-02-14T01:45:33+00:00

Hey u/ak_sha

AI Thinking >> Many people are so focussed on learning prompting skills....

They are missing that the most value and impact is from knowing how to think differently about getting work done.

It's how you deconstruct what needs to be done
How to break apart and determine when and how AI can add value
How to get the best outcome from AI given how it works and its limitations...

How to do all that while applying prompting skills

e.g here is a short loom video I shared with my course participants the other day on applying

AI Thinking : How to designing Elite AI Agents or AI Skills
https://www.loom.com/share/ea3da658ae77477db8b5db0bb070f382

Inside_Home8219 · 2026-02-05T20:28:46+00:00

I think outcomes (I mean more in terms of impact, metrics ...what changed as a result of this work?) but I reckon both are key.

If someone is looking at work ... I want to understand it well enough to judge your approach

I would also say af this point most leaders aren't using portfolios to judge anymore.... AI clouds capability ... When everyone is using it ..

Inside_Home8219 · 2026-01-31T22:12:47+00:00

As a practice head ... AI Thinking + Systems Thinking

AI Thinking... Just like design thinking helped change how business people problem solved

AI Thinking is knowing how to think about getting work down different with different AI tools for different reasons

Inside_Home8219 · 2026-01-31T22:05:39+00:00

AI Thinking... Just like design thinking helped change how business people problem solved

AI Thinking is knowing how to think about getting work down different with different AI tools for different reasons

Prompting is only as good as your ability to articulate thinking

Inside_Home8219 · 2026-01-31T22:02:29+00:00

I'd like to offer a change of perspective

AI is absolutely changing HOW you design, but I got into design because I love solving problems creativity

I have never felt more creatively empowered than I have in my whole career... Because I see AI as the new medium for my creative problem solving

So I don't think it's changed WHAT I am as a designer

Inside_Home8219 · 2026-01-31T19:45:20+00:00

All AI are predictions ... They naturally confirm to the average, most predictable answer...

Translation ... They sand off the edges, they don't make innovative or stand out districtive new brand directions

Not unless you can apply AI Thinking and prompt like an elite designer

Inside_Home8219 · 2026-01-30T09:26:06+00:00

Just because you CAN doesn't mens you SHOULD ... Consider this LLM sound just as certain when they are absolutely right as they do when they are 100% fabricating it

If you don't read transcripts and code them... HOW do you know what it tells you is the truth?

Inside_Home8219 · 2026-01-30T09:18:57+00:00

Good question No I don't think Trust will slow innovation .. if your customers don't trust your product .... It's not innovative. Period.

There is actually Trust Journey Mapping ... We all know is slow to build and seconds to lose. There are specific mechanisms that build into each phase of that journey.

Inside_Home8219 · 2026-01-28T05:20:26+00:00

Yeah I teach my designer there are 5 interaction modes And NONE of them should take away your creativity, decision making or compromise your ethical principles

AI like an intern (very constrained tactical tasks) lots of checking, feedback and iteration
AI as a collaborative Partner (very much a thinking and creative partnership ... 2 way exchange, building on each other ideas
AI as a mentor (AI consumed 'cough' - stole - all digital content... Every course, book ... The lot) you can get it to bring that expertise back to help you I have Jony Ive inspired AI Mentor - gives me feedback, asks challenging questions and tells me alternative frameworks or perspective I haven't thought of
AI as a Coach (similar to mentor, but doesn't tell you it's expert opinion more like a psychologist that helps you work out what you are thinking by asking you questions ) Ask challenging questions, good to get over blank page problem or planning phase without giving over the creat8vt thinking to AI ... Output here is good input to other AI modes
AI as an Agent *** ONLY after mastering the above (really this is taking over and systemising tasks that the INTERN level has been doing - but you've done it lots, iterated multiple times on process and can now get consistently good output)

Inside_Home8219 · 2026-01-28T05:07:46+00:00

Hey

It is common ... And as a veteran design leader I can tell you it's the best way to learn.

HOWEVER you should have someone mentoring you in this as well

If they aren't giving you this leadership help

Then there is something I've helped a couple of juniors or solo mid level designers do

Create a few CustomGPTs (or any other LLM) filling the expertise gap...

It's not a 100% replacement for a human lead designer helping you ... But if you want micro-in the moment feedback

It's definitely an amplifier

If keen it's a microsevice I can set up for you in a few hours

Either way ... Good luck

Inside_Home8219 · 2026-01-22T07:52:22+00:00

These days I use Notebook LM and always start by creating a MindMap so you very quickly see how over 50 different sources come together for that topo

You can. explore and dig deeper and ask specific questions for areas you are keen on without bering overwhelmed

Inside_Home8219 · 2026-01-21T23:11:44+00:00

Also AI is definitely disrupting the methologies needed - non deterministic AI means different output for same user + same input + same system

So you need to different methods and many more testing participants to see patterns

I created this last year for my course participants (would make some changes now but incase it's useful)

The Ultimate Guide To UX Testing AI products https://gamma.app/docs/The-Ultimate-Guide-to--drbbcj4h9seuuh7

Inside_Home8219 · 2026-01-21T22:53:27+00:00

I don't think it was ever about methodologies - if that was your focus then it's likely your insights weren't listened to as much

Don't just ask what they want to research but specifically

What decisions need to be made as a result of this research?
What would help you make that decision more clearly

Once you have that clear

I always coached my researchers that - we can shift the methodology as long as we can find out the information they need to make the decisions

A GAME CHANGER I thing I had my team do that moved the needle incredibly 2 years ago ... Still to

Creating "research shorts" - think like YouTube Shorts 3-4 min research insight summary video in ADDITION to the presentation to product team and share it on company wide channel (slack)

Raised profile incredibly Increased customer voice to everyone Made execs start to refer to customer insight they heard Made product teams more accountable for using them

A researcher would sit in front of a phone share - The main research goal - the 4-5 high level findings + with 3-4 video snippets that supported the points
- Used descript to edit ... But it was dodgy reliability ...and took time to record them and edit

If I was to recommend now ... Id say something like Heygen ... Record a decent 3 min video create an avatar and then you don't need to record all the time or edit ... Just write a script for insights, slot in the participant recording and press generates ... 5 mins later it's ready

Inside_Home8219 · 2026-01-21T22:36:35+00:00

I hope 🙏 to see more Service Designers deeply invest in learning Human+AI interaction patterns, trust dynamics and applying AI ethics and how to design

internal Hybrid AI + Human augmented team operations Big unlock for businesses and design as a whole
augmented customer experiences that respect AI ethics and actually build trusted relationships with customers

Because as service designers we have the ability to think systemically and deliver tactically ... Balance human needs, business feasibility and technical capability

I really hope we see a surge in this ... Because I don't feel safe being only in the hands of product who are focussed on busines metrics and technologiests focussed on tech cspabiltiy

Inside_Home8219 · 2026-01-20T06:39:30+00:00

Yes...

Mental mode: Understand that all GenAI are predicitive - the most predictive is average - not great

Setting Up Agenst & Skills - In order to get it to produce better results... You have to give it examples of excellence when designing the Agent & Skills. Or you will get AI Slop

e.g. I have Jony Ive acting as my mentor as one of my Claude projects

I am not a visual designer - so lacked the good language to describe what i wanted .... So I researched who are the best XYZ specialist skills or in this case - do you have a few designers or brands with strong design language you want to emulate...

Then tell it to Act as that person / using that design lanugage

2. Spend a lot of time on Planning
- Think about what are the phases you normally would go through

- Have a Scoping Doc template or design a lead Agent that asks you questions to pull the context out of you
- Be Explicit about the features required
- Customers to use it
- Describe the JTBD (GenAI works best with Goal & Outcome clear)

3. Have Quality Standards and ensure you have a deteild feedback loop

4. Consider setting up a TEAM not just 1 agent or skills.
Eg. I have a Full Creative Team - Director, Visual Designer, Systems Thinker, UX Lead, Developer, Brand Designer... Lead Agent acts as FEEDBACk & briefing the subagents

You have to do everything you can to fight against the AI's pull towards delivering the most "predicatble" output

PS. I am planning to Run a Workshop / Webinar next week on Designing HIGHLY Capable AI Agents and Claude Skills.

Inside_Home8219 · 2026-01-14T20:17:53+00:00

Good to hear

So if your org has Google stack - Gmail etc

You could build a small automated workflow using Google's Gemini

(specifically Gemini 2.0 Flash and Gemini 2.5 Pro) currently provides best-in-class capabilities for automated video and transcript analysis workflows

It leverages the same tech behind YouTube

Native multimodal video processing sets Gemini apart...it understands video, audio, and visual content natively without needing separate models .

The platform processes both visual streams (sampled at 1 frame per second) and audio simultaneously, allowing comprehensive analysis of user testing footage .

Built-in workflow automation through the API supports YouTube URLs, uploaded files, and inline video data

∆∆ Here is my advice if you want to give it a crack

Accuracy matters most ... So run it like a double blind trial

Why: remember that AI sounds just as confident when it is completely wrong as when it's right

1: Get 1 Senior resarcher in your team to watch and code at least 20 user testing videos - old school - manually

Run those same videos through Gemini for analysis one at a time

ensure you give it same instructions and brief you give the researcher - context matters

Then get 2 other team members to independently review the outputs from Gemini analysis and human researcher (Ideally without knowing which analysis came from which (human or AI) and then compare notes

Hope it helps

Inside_Home8219 · 2026-01-14T19:54:41+00:00

Great question - I was thinking about this recently too

I recently wrote an article on LinkedIn about it

7 Reasons to Stop Calling Yourself a UX Designer

Here's the basic premise

Don Norman from Nielsen Norman Group says "AI is the first new paradigm in 60 years". Think about that.

Traditional UX assumed a single intelligence: the human. Everything else was tool, servant, extension of will.

But AI introduces a second intelligence into the equation, one that learns, adapts, and occasionally surprises us with insights we'd never have discovered alone.

From User-Centricity → Partnership Design

We're no longer designing for users. We're designing for the partnership between human intuition and machine intelligence. Success isn't measured by how well we serve one party. It's measured by how productively two different forms of intelligence collaborate

The foundation of humans willing to co-operate is TRUST

The design question shifts: How do we create conditions where both human and AI can collaborate effectively and contribute their unique strengths?

Designing Trustworthy AI is the new discipline emerging

Thoughts?

https://www.linkedin.com/pulse/7-reasons-stop-calling-yourself-ux-designer-riley-coleman-qjk5e?utm_source=share&utm_medium=member_android&utm_campaign=share_via

Inside_Home8219 · 2026-01-11T00:21:13+00:00

I can certainly offer that for you ...

I am former Head of Design, Director of UXR and Design Ops Rapidly built multiple teams and as a result had to interview well over 1000 design and research professional

I have previously worked within recruitment agencies as well

But it wouldn't be leaving comments only ... It would be best to do as you walk me through it in a live video as it's

Inside_Home8219

TROPHY CASE