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Nano Banana Imagegen Agent Skill

Generate and edit images using Google Gemini image models via the nano-banana CLI. Use when the user asks to create, generate, make, or edit images with AI. Supports text-to-image, image editing, style transfer, and multi-image composition. Trigger on requests like "create an image", "generate a picture", "make me a logo", "edit this photo", "add X to this image".

7k tokens
context cost
the whole folder, loaded on every use
7
files
instructions only
0
copies elsewhere
how many repositories repackaged it
254
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/BlackBeltTechnology/pi-agent-dashboard --skill nano-banana-imagegen

What comes with it

23 108 bytes besides the instruction
references/headers-and-heroes.md
references/icons-and-logos.md
references/illustrations.md
references/photography-and-editing.md
references/prompting-guide.agent.md
references/prompting-guide.md

The instruction itself

17 sections, as written by the author

Nano Banana Image Generation

Generate and edit images using Google's Gemini image models. This skill ships the

pi-nano-banana CLI (a TypeScript wrapper — no Python) that resolves the

GEMINI_API_KEY for you and delegates to @the-focus-ai/nano-banana.

Prerequisites

  • GEMINI_API_KEY set via the environment or a gitignored .env in the project

or package directory (the CLI resolves it automatically).

  • Network access — the underlying @the-focus-ai/nano-banana CLI is fetched via npx.

Quick Reference

Prefer the bundled pi-nano-banana bin (auto key resolution, output-dir creation):

# Generate a new image
pi-nano-banana "a serene mountain landscape at sunset"

# Edit an existing image
pi-nano-banana "add a hot air balloon to the sky" --file photo.jpg

# Specify output path
pi-nano-banana "a minimalist logo" --output logo.png

# Use a specific model / faster flash model
pi-nano-banana "detailed illustration" --model gemini-2.0-flash-exp
pi-nano-banana "a quick sketch" --flash

The raw CLI still works if you prefer it (npx @the-focus-ai/nano-banana "…").

For batch generation from code, import batchGenerate from

@blackbelt-technology/pi-dashboard-nano-banana/nano-banana.js.

Workflow

Step 1: Understand the Request

Before generating, clarify:

  • Subject: What should be in the image?
  • Style: Photorealistic, illustration, cartoon, abstract?
  • Mood: Bright, dark, moody, cheerful?
  • Composition: Close-up, wide shot, specific aspect ratio?
  • Use case: Hero image, icon, social media, print?

Step 2: Craft an Effective Prompt

Read references/prompting-guide.md for comprehensive guidance.

Key principles:

  • Be specific and descriptive
  • Include style references
  • Specify what you DON'T want
  • Describe composition and framing

Example — Weak prompt:

"a cat"

Example — Strong prompt:

"A fluffy orange tabby cat curled up on a velvet armchair, soft afternoon sunlight streaming through a window, warm cozy interior, photorealistic style, shallow depth of field"

Step 3: Generate the Image

npx @the-focus-ai/nano-banana "your detailed prompt here"

Default output: output/generated-<timestamp>.png

Step 4: Iterate

If the result isn't right:

  • Refine the prompt — Add more detail or constraints
  • Edit the image — Use --file to modify the generated image
  • Try a different model — Some models handle certain styles better

Commands

Text-to-Image Generation

npx @the-focus-ai/nano-banana "<prompt>"

Image Editing

npx @the-focus-ai/nano-banana "<edit instruction>" --file <input-image>

Edit instructions should describe the change:

  • "Remove the background and replace with a gradient"
  • "Add sunglasses to the person"
  • "Change the sky to sunset colors"
  • "Make it look like a watercolor painting"

Options

| Option | Description |

|--------|-------------|

| --file <image> | Input image for editing |

| --output <path> | Custom output path |

| --model <name> | Specific Gemini model |

| --flash | Use gemini-2.0-flash (faster, simpler images) |

| --prompt-file <path> | Read prompt from file |

| --list-models | Show available models |

Best Practices

For Better Results

  • Start with composition: Describe the layout first, then details
  • Use artistic references: "in the style of Studio Ghibli", "like a National Geographic photo"
  • Specify lighting: "golden hour lighting", "dramatic chiaroscuro", "soft diffused light"
  • Include negative guidance: Describe what to avoid in the prompt itself
  • Consider aspect ratio: The model generates square by default; describe wide/tall if needed

For Editing

  • Be specific about changes: "Add a blue butterfly to the top-left corner"
  • Preserve what works: "Keep the background unchanged, only modify the foreground"
  • Iterative refinement: Make one change at a time for better control

Environment Setup

Ensure GEMINI_API_KEY is set:

export GEMINI_API_KEY="your-api-key-here"

Or create a .env file in your project:

GEMINI_API_KEY=your-api-key-here

Troubleshooting

| Problem | Solution |

|---------|----------|

| "No image in response" | Prompt may have triggered safety filters — rephrase |

| Poor quality results | Add more specific style guidance, use gemini-2.0-flash-exp |

| Image doesn't match description | Be more explicit about composition, add negative constraints |

How to use it

Copy the folder

Take blackbelttechnology/nano-banana-imagegen from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.

Install what it needs

The instructions reference npx. Without those the skill loads but fails at the first command.