nano-banana-pro SKILL.md skillA

nano-banana-pro from nicepkg/ai-workflow is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add nicepkg/ai-workflow/nano-banana-pro@git:20260118.be84779

Pins git:20260118.be84779 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
nicepkg/ai-workflow
Path
workflows/talk-to-slidev-workflow/.claude/skills/nano-banana-pro/SKILL.md
Versions recorded
1
Latest version
git:20260118.be84779, committed Jan 18, 2026
Size
3,221 bytes
Repository stars
291
License
MIT

Generate images using Google's Nano Banana Pro (gemini-3-pro-image-preview). Accepts text prompts and optionally images (for editing/transformation) as INPUT. Returns generated IMAGES as OUTPUT. Use when user asks to create, generate, edit, or draw images, infographics, visualizations, diagrams, charts, or illustrations. Excellent for data-accurate infographics and text rendering.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Nano Banana Pro Image Generator

Generate images using Google's advanced Nano Banana Pro model (`gemini-3-pro-image-preview`).

## Prerequisites

The user must have `GEMINI_API_KEY` environment variable set with a valid Google AI API key.

## Usage

The script is located in the same directory as this SKILL.md file. Run it with `uv run`:

```bash
uv run /path/to/skills/nano-banana-pro/generate_image.py "your prompt" -o output.png
```

When this skill is invoked, locate `generate_image.py` in the skill directory and run it.

### Parameters

| Parameter | Required | Description |
|-----------|----------|-------------|
| `prompt` | Yes | Text description of the image to generate or transformation to apply |
| `-o`, `--output` | Yes | Output filename (you decide the path based on context) |
| `-i`, `--image` | No | Input image(s) for editing/transformation or as context/reference (can be used multiple times) |
| `--aspect-ratio` | No | One of: `1:1`, `2:3`, `3:2`, `3:4`, `4:3`, `4:5`, `5:4`, `9:16`, `16:9`, `21:9` (default: `1:1`) |
| `--size` | No | Image size: `1K`, `2K`, `4K` (default: `1K`) |

### Examples

Basic image generation:
```bash
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add nicepkg/ai-workflow/nano-banana-pro@sha256:a99df82d313a463f

The line at the top of this page pins the label git:20260118.be84779, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_psdvpbsw5vphk4gj.svg)](https://markdownregistry.com/a/art_psdvpbsw5vphk4gj)

3 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Jan 18, 2026.

versioncommittedcommitsizeaudit
git:20260118.be84779 latest2026-01-18 be84779 3,221 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (3221 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

nicepkg/ai-workflow · 291 stars · license MIT · pushed 2026-01-20 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_psdvpbsw5vphk4gj
GET https://markdownregistry.com/api/v1/resolve?ref=nicepkg/ai-workflow/nano-banana-pro
GET https://markdownregistry.com/api/v1/blob/a99df82d313a463f293f9e3cb983f511b806e8bea47bbd83131479af4dc0a4f5

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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