nina-geradora-visual-nano-banana-2

Generate image prompts and PNG files for Nano Banana 2 with preflight validation.

Updated Apr 5, 2026
One-click install
npx skills add https://github.com/joleques/northstar-ai --skill nina-geradora-visual-nano-banana-2
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: nina-geradora-visual-nano-banana-2
Source: https://github.com/joleques/northstar-ai/tree/main/.codex/skills/nina-geradora-visual-nano-banana-2
Command: npx skills add https://github.com/joleques/northstar-ai --skill nina-geradora-visual-nano-banana-2

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

Ensures visual production requests are complete, technically valid, and translated into reliable prompts and image files for Nano Banana 2, preventing incomplete or low-quality generations.

Core Features & Use Cases

  • Preflight technical validation of API key, model access, endpoint reachability and output folder permissions to avoid failed runs.
  • Structured mandatory briefing collection and validation for single images, carousels and slide decks, with per-slide plans and approval checkpoints.
  • Generates final prompts and prompt variants, runs image generation via a provided script, and saves artifacts and PNG outputs in a standardized output layout.

Quick Start

Run the preflight, complete the guided briefing, and then generate a single image titled cover with Nano Banana 2 using the provided references and style directions.

Frequently Asked Questions about nina-geradora-visual-nano-banana-2

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate image prompts from incomplete briefs for marketing assets?

Generate production-ready image prompts from incomplete briefs by running a preflight validation and structured briefing collection to produce consolidated prompt variants and image files. This ensures visual production requests are complete and technically valid for high-quality generation.

What is the best way to create slide deck images using the Google Gemini image API?

The best way to create slide deck images using the Google Gemini image API is to use a guided workflow that produces per-slide plans and approval checkpoints. This validates model access and saves generated PNG artifacts to a standardized output directory compatible with the API.

Do I need to validate API keys and output permissions before generating carousel images?

Yes, you need to validate API keys, model access, endpoint reachability, and output folder permissions before generating carousel images. This preflight validation prevents incomplete or low-quality generations and avoids failed runs during the image production process.

Can I use visual references to generate prompt variants for social media carousels?

Yes, you can use visual references to generate prompt variants for social media carousels. The process applies structured mandatory briefing collection and validation to translate your visual references into reliable, production-ready prompts for image generation.

Why does image generation fail when running scripts with incomplete textual briefs?

Image generation fails when running scripts with incomplete textual briefs because the production request lacks technical validity and structured style directions. Without preflight validation and consolidated prompt variants, the generation process produces incomplete or low-quality outputs.