Nano Banana + Gemini 3 = S-Tier UI Designer

I've been using Nano Banana alongside Gemini 3 to maximise its creativity for UI design past 2 weeks

🧵👇 Here are my 4 step process 1/ Design spec

Plan ahead, Break down into smaller design tasks, and get model focusing one task at a time

This is a proven process we've been doing with coding tasks, same thing apply for UI design too

Here are a few sites I often go for reference...

Okay at this point,

I can only say Gemini3 really beats me as a designer...

🧵👇 Below is how I get most out of Gemini3 1/ Prompt for Gemini3 is different

Gemini 3 is a reasoning model

It requires precise instructions + Really sensitive to the prompt

Some old prompt engineering techniques that works with old model might not work well with gemini 3

Sometimes more prompt you add, the worse the performance

Claude Skill is prob bigger than MCP

Here is what it is,

+ how to 10x your claude code w/ it

🧵👇 1/ A skill ≈ prompt + tools/assets

.claude/
└ skills/
└ [skill-name]/
├ SKILL.md
└ (other sub-prompts, tools, templates)

SKILL.md firstly contain a simple yaml contains metadata,

Provides just enough info about when to use this skill

+ Full markdown prompt explain detailed instructions, which will only be fed into context if agent decide to use this skill

-----

For complex skills, in the full markdown instruction,

You can refer to more md files for further instructions

+ Scripts/functions you predefined OR any other resources

So that it can call predefined functions on-demand

.agent docs made my Claude Code 10x better…

Here is how to context engineer into Claude code

It even works w/ complex codebase

👇 Thread below 1/ Context engineering is the key

Claude code default takes in
- System prompt
- System tools
- MCP tools
-
- Messages

Run /context will give you an idea of the breakdown CLAUDE.md

Nano Banana is insanely good

Here are a few ways I found that make the best out of Nano bananas:

1. World knowledge

Because Gemini has world's knowledge, it goes beyond just image editing

You can prompt a point on map, and ask it to picture what the view will look like

"What will I see standing at this point on the map" from @tokumin
Similar to the world knowledge use case

You can also ask it to edit image with additional info

"You are a location-based AR experience generator. highlight [xxxxx] in this image and annotate relevant information about it."

from @bilawalsidhu

I was using Claude Code Sub-agent wrong...

Here's what I learnt after 20+ hrs trial & errors

Made my agents way more effective

👇 Thread below First -

Why did Anthropic build sub-agents initially?

It's all about context engineer & context optimisations

It works best when focusing on planning & researching and send back with a summary plan to conversation thread

I was using Claude Code wrong...

Here’s what I learnt and how I maximise Claude Code performance

+ Best tips that ACTUALLY useful

👇 Thread below The Claude Code setup
- Connect IDE
- /init for codebase scan
-
- ... CLAUDE.md

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