Skills nano-banana-veo

Generate images with Nano Banana (Gemini 3 Pro Image) and animate them into videos with Veo 3.1. Use when creating AI-generated visual assets for websites, landing pages, or marketing materials that need both static images and animated video content. Requires GEMINI_API_KEY environment variable.

install

source · Clone the upstream repo

git clone https://github.com/openclaw/skills

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/openclaw/skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/bermyboystechsolutions/nano-banana-veo" ~/.claude/skills/clawdbot-skills-nano-banana-veo && rm -rf "$T"

manifest: skills/bermyboystechsolutions/nano-banana-veo/SKILL.md

source content

Nano Banana + Veo Workflow

Generate premium images and animate them into cinematic videos using Google's Gemini API.

Quick Start

# Generate just an image
uv run {baseDir}/scripts/generate.py \
  --image-prompt "iPhone floating against dark background, premium product photography" \
  --output-image hero.png

# Generate image + video
uv run {baseDir}/scripts/generate.py \
  --image-prompt "iPhone floating against dark background, premium product photography" \
  --video-prompt "iPhone gently rotating and floating, smooth seamless motion, cinematic lighting" \
  --output-image hero.png \
  --output-video hero.mp4 \
  --video-duration 4

Parameters

Parameter	Required	Default	Description
`--image-prompt`	✅	-	Prompt for image generation
`--video-prompt`	❌	image-prompt	Prompt for video animation
`--output-image`	✅	-	Output path for image (.png/.jpg)
`--output-video`	❌	-	Output path for video (.mp4)
`--resolution`	❌	1K	Image resolution: 1K, 2K, 4K
`--video-duration`	❌	4	Video seconds (4-8, Veo requirement)
`--video-resolution`	❌	720p	Video quality: 720p, 1080p, 4k

Prerequisites

```
GEMINI_API_KEY
```
environment variable set
```
google-genai
```
and
```
requests
```
Python packages

Installation

# Install dependencies
pip install google-genai requests

# Or with uv
uv pip install google-genai requests

Workflow Examples

Hero Section Asset

uv run {baseDir}/scripts/generate.py \
  --image-prompt "Sleek iPhone 15 Pro showing Islamic prayer app interface, dark green and gold accents, floating against pure black background, dramatic studio lighting, premium product photography, 8K quality" \
  --video-prompt "iPhone floating and gently rotating in space, subtle purple glow, smooth seamless boomerang motion, premium cinematic lighting, dark background" \
  --output-image namazlock-hero.png \
  --output-video namazlock-hero.mp4 \
  --video-duration 4

Feature Showcase

uv run {baseDir}/scripts/generate.py \
  --image-prompt "Minimalist smartphone displaying prayer time interface, clean UI, dark mode with gold accents, studio lighting" \
  --output-image feature.png \
  --resolution 2K

Output

Images are saved in PNG format
Videos are saved in MP4 format (H.264 encoded)
Veo generation takes ~30-60 seconds (async polling handled automatically)

Notes

Veo 3.1 requires 4-8 second duration (enforced by API)
Video generation is asynchronous — script handles polling automatically
Use
```
{baseDir}
```
placeholder in paths — it resolves to the skill directory