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Nano Banana Ui Prompts

Design community

Description

Claude Code skill that adapts the 12k-prompt Nano Banana Pro library for UI workflows — Google Stitch MCP screen & design-system generation, Gemini image prompts, and coded-UI design tokens (React/Tailwind/SwiftUI via Picasso). 80 curated patterns across 6 categories with preserved CC BY 4.0 attribution.

Installation

This entry records only its repository, not the path inside it, so there is no exact command to give. Open the source below and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

README

nano-banana-ui-prompts

A Claude Code skill that turns the [YouMind-OpenLab Nano Banana Pro prompt library](https://github.com/YouMind-OpenLab/awesome-nano-banana-pro-prompts) into a structured, searchable index of **80 curated UI-relevant prompts** — then teaches Claude how to adapt them for three outputs:

  1. Direct image generation (Gemini / Nano Banana Pro)
  2. Google Stitch MCP (generate_screen_from_text, create_design_system, edit_screens, generate_variants)
  3. Coded UI (React/Tailwind/SwiftUI via Picasso's DESIGN.md flow)

The skill bridges the gap between a massive image-prompt library (designed for flat Gemini images) and real UI production work. Instead of manually skimming 300KB of markdown to find a Bento-grid prompt, Claude filters by keyword/category/id, extracts composition + palette + typography tokens, and emits a target-appropriate artifact — with author attribution preserved end-to-end.


TL;DR

# Install
git clone https://github.com/cryptoxinu/nano-banana-ui-prompts ~/.claude/skills/nano-banana-ui-prompts

# Try it (no Claude needed — the search CLI works standalone)
python3 ~/.claude/skills/nano-banana-ui-prompts/scripts/search.py --featured
python3 ~/.claude/skills/nano-banana-ui-prompts/scripts/search.py --query "bento glass" --format md

# Use it through Claude Code
# Ask: "Design me a Bento grid landing page for Stitch"
# The skill auto-triggers, pulls featured-2, translates to a Stitch-ready prompt.

Why this exists

The upstream library is fantastic but has three frictions for agentic use:

Friction Why it's a problem for an agent
Distribution 16 language READMEs, each ~300KB. Claude can't browse efficiently.
Format Prompts written for Gemini image generation; describe photographs, not UIs.
No structured data Author/source/category buried in markdown — not queryable.

This skill solves all three:

  • Parses