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Agent skill

Nano Banana Pro

by CraftOS-dev in CraftOS-dev/CraftBot

Generate/edit images with Nano Banana Pro (Gemini 3 Pro Image).

MITAuto-check passedMedia & Creative

Install Nano Banana Pro

skills CLI
$ npx skills add CraftOS-dev/CraftBot --skill nano-banana-pro -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install CraftOS-dev/CraftBot nano-banana-pro --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/CraftOS-dev/CraftBot.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/nano-banana-pro .claude/skills/nano-banana-pro && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
nano-banana-pro
GitHub stars
392
Used in
5 other repos
Token cost
~1.4k tokens
SKILL.md length
590 words
Files
4 (incl. scripts)
Skills in repo
89
Repo updated
First seen
Licence
MIT

At a glance

Generate/edit images with Nano Banana Pro (Gemini 3 Pro Image).

  • Works in 2 steps: api-key argument (use if user provided… → GEMINI_API_KEY environment variable
  • Image create/modify requests incl
  • SKILL.md covers Usage, Default Workflow (draft →…, Resolution Options and API Key, plus 7 more sections
  • Runs Python scripts from its folder; calls uv; needs GEMINI_API_KEY

What it does

Nano Banana Pro is an agent skill from CraftOS-dev/CraftBot. Generate/edit images with Nano Banana Pro (Gemini 3 Pro Image). Use for image create/modify requests incl. edits. Supports text-to-image + image-to-image; 1K/2K/4K; use --input-image.

Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including scripts (for example `.clawhub/origin.json`, `_meta.json` and `scripts/generate_image.py`).

It sits in Media & Creative, covering Image generation. It works with Google Gemini. The repository describes itself as: One agent. Every kind of work. The licence is MIT.

When your agent uses it

  • Image create/modify requests incl
  • Tasks that involve Image generation

Example prompts

  • “/nano-banana-pro”

Requirements

  • Python 3
  • A credential in GEMINI_API_KEY

Workflow steps

2 steps, taken from the first numbered list in SKILL.md.

  1. api-key argument (use if user provided key in chat)
  2. GEMINI_API_KEY environment variable

What it can do on your machine

Read from SKILL.md and the folder at commit b50970c. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • uv

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use uv, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • GEMINI_API_KEY

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Nano Banana Pro loads about 1.4k tokens when it runs. Until then it costs about 50 tokens; SKILL.md has 590 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~50
When it runs · the whole SKILL.md, loaded when a task matches
~1.4k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from CraftOS-dev/CraftBot at commit b50970c, republished under its MIT licence (© CraftOS-dev). 590 words, ~1,416 tokens.

Download SKILL.mdSave it as .claude/skills/nano-banana-pro/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
nano-banana-pro
description
Generate/edit images with Nano Banana Pro (Gemini 3 Pro Image). Use for image create/modify requests incl. edits. Supports text-to-image + image-to-image; 1K/2K/4K; use --input-image.

Nano Banana Pro Image Generation & Editing

Generate new images or edit existing ones using Google's Nano Banana Pro API (Gemini 3 Pro Image).

Usage

Run the script using absolute path (do NOT cd to skill directory first):

Generate new image:

bash
uv run ~/.codex/skills/nano-banana-pro/scripts/generate_image.py --prompt "your image description" --filename "output-name.png" [--resolution 1K|2K|4K] [--api-key KEY]

Edit existing image:

bash
uv run ~/.codex/skills/nano-banana-pro/scripts/generate_image.py --prompt "editing instructions" --filename "output-name.png" --input-image "path/to/input.png" [--resolution 1K|2K|4K] [--api-key KEY]

Important: Always run from the user's current working directory so images are saved where the user is working, not in the skill directory.

Default Workflow (draft → iterate → final)

Goal: fast iteration without burning time on 4K until the prompt is correct.

  • Draft (1K): quick feedback loop
    • uv run ~/.codex/skills/nano-banana-pro/scripts/generate_image.py --prompt "<draft prompt>" --filename "yyyy-mm-dd-hh-mm-ss-draft.png" --resolution 1K
  • Iterate: adjust prompt in small diffs; keep filename new per run
    • If editing: keep the same --input-image for every iteration until you’re happy.
  • Final (4K): only when prompt is locked
    • uv run ~/.codex/skills/nano-banana-pro/scripts/generate_image.py --prompt "<final prompt>" --filename "yyyy-mm-dd-hh-mm-ss-final.png" --resolution 4K

Resolution Options

The Gemini 3 Pro Image API supports three resolutions (uppercase K required):

  • 1K (default) - ~1024px resolution
  • 2K - ~2048px resolution
  • 4K - ~4096px resolution

Map user requests to API parameters:

  • No mention of resolution → 1K
  • "low resolution", "1080", "1080p", "1K" → 1K
  • "2K", "2048", "normal", "medium resolution" → 2K
  • "high resolution", "high-res", "hi-res", "4K", "ultra" → 4K

API Key

The script checks for API key in this order:

  1. --api-key argument (use if user provided key in chat)
  2. GEMINI_API_KEY environment variable

If neither is available, the script exits with an error message.

Preflight + Common Failures (fast fixes)

  • Preflight:

    • command -v uv (must exist)
    • test -n \"$GEMINI_API_KEY\" (or pass --api-key)
    • If editing: test -f \"path/to/input.png\"

  • Common failures:

    • Error: No API key provided. → set GEMINI_API_KEY or pass --api-key
    • Error loading input image: → wrong path / unreadable file; verify --input-image points to a real image
    • “quota/permission/403” style API errors → wrong key, no access, or quota exceeded; try a different key/account

Filename Generation

Generate filenames with the pattern: yyyy-mm-dd-hh-mm-ss-name.png

Format: {timestamp}-{descriptive-name}.png

  • Timestamp: Current date/time in format yyyy-mm-dd-hh-mm-ss (24-hour format)
  • Name: Descriptive lowercase text with hyphens
  • Keep the descriptive part concise (1-5 words typically)
  • Use context from user's prompt or conversation
  • If unclear, use random identifier (e.g., x9k2, a7b3)

Examples:

  • Prompt "A serene Japanese garden" → 2025-11-23-14-23-05-japanese-garden.png
  • Prompt "sunset over mountains" → 2025-11-23-15-30-12-sunset-mountains.png
  • Prompt "create an image of a robot" → 2025-11-23-16-45-33-robot.png
  • Unclear context → 2025-11-23-17-12-48-x9k2.png
Show full SKILL.md (227 more words)Show less

Image Editing

When the user wants to modify an existing image:

  1. Check if they provide an image path or reference an image in the current directory
  2. Use --input-image parameter with the path to the image
  3. The prompt should contain editing instructions (e.g., "make the sky more dramatic", "remove the person", "change to cartoon style")
  4. Common editing tasks: add/remove elements, change style, adjust colors, blur background, etc.

Prompt Handling

For generation: Pass user's image description as-is to --prompt. Only rework if clearly insufficient.

For editing: Pass editing instructions in --prompt (e.g., "add a rainbow in the sky", "make it look like a watercolor painting")

Preserve user's creative intent in both cases.

Prompt Templates (high hit-rate)

Use templates when the user is vague or when edits must be precise.

  • Generation template:

    • “Create an image of: <subject>. Style: <style>. Composition: <camera/shot>. Lighting: <lighting>. Background: <background>. Color palette: <palette>. Avoid: <list>.”

  • Editing template (preserve everything else):

    • “Change ONLY: <single change>. Keep identical: subject, composition/crop, pose, lighting, color palette, background, text, and overall style. Do not add new objects. If text exists, keep it unchanged.”

Output

  • Saves PNG to current directory (or specified path if filename includes directory)
  • Script outputs the full path to the generated image
  • Do not read the image back - just inform the user of the saved path

Examples

Generate new image:

bash
uv run ~/.codex/skills/nano-banana-pro/scripts/generate_image.py --prompt "A serene Japanese garden with cherry blossoms" --filename "2025-11-23-14-23-05-japanese-garden.png" --resolution 4K

Edit existing image:

bash
uv run ~/.codex/skills/nano-banana-pro/scripts/generate_image.py --prompt "make the sky more dramatic with storm clouds" --filename "2025-11-23-14-25-30-dramatic-sky.png" --input-image "original-photo.jpg" --resolution 2K

© CraftOS-dev, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 3 other files (scripts) in skills/nano-banana-pro of CraftOS-dev/CraftBot.

  • SKILL.md
  • .clawhub/origin.json
  • _meta.json
  • scripts/generate_image.py

Open the folder on GitHubat commit b50970c

Used in 5 other repositories

We found 8 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 5 other GitHub owners. This page covers the copy in CraftOS-dev/CraftBot, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Nano Banana Pro next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Nano Banana Pro compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Nano Banana Pro this skillCraftOS-dev/CraftBot3925 repos~1.4kAutomated safety check: PassMIT
AI Image Generation and Editingzhayujie/CowAgent47k—~1.3kAutomated safety check: PassMIT
Logo Generatorop7418/logo-generator-skill2.2k—~1.8kAutomated safety check: NotesNone
Gemini Web Reverse-Engineered ClientJimLiu/baoyu-skills27k5 repos~1.6kAutomated safety check: PassMIT
SEO Image GeneratorAgriciDaniel/claude-seo19k2 repos~2.1kAutomated safety check: PassMIT
BlockRun Image GenerationBlockRunAI/ClawRouter6.6k—~2.1kAutomated safety check: PassMIT

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Works with

Categories

Questions about Nano Banana Pro

What does Nano Banana Pro do?

Generate/edit images with Nano Banana Pro (Gemini 3 Pro Image). Nano Banana Pro is an agent skill from CraftOS-dev/CraftBot. Generate/edit images with Nano Banana Pro (Gemini 3 Pro Image).

When should I use Nano Banana Pro?

Nano Banana Pro fits situations like: image create/modify requests incl; tasks that involve Image generation.

How do I install Nano Banana Pro in Claude Code?

Run `npx skills add CraftOS-dev/CraftBot --skill nano-banana-pro -a claude-code`. Or copy the skill folder (skills/nano-banana-pro in CraftOS-dev/CraftBot) into .claude/skills/nano-banana-pro in your project. Claude Code loads it when a task matches its description.

How do I install Nano Banana Pro in Codex?

Run `npx skills add CraftOS-dev/CraftBot --skill nano-banana-pro -a codex`. Or copy the skill folder (skills/nano-banana-pro in CraftOS-dev/CraftBot) into .agents/skills/nano-banana-pro in your project. Codex loads it when a task matches its description.

Can I use Nano Banana Pro in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add CraftOS-dev/CraftBot --skill nano-banana-pro -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/nano-banana-pro, .gemini/skills/nano-banana-pro, .github/skills/nano-banana-pro and .opencode/skills/nano-banana-pro in your project.

What does Nano Banana Pro need to run?

Going by SKILL.md and its folder, Nano Banana Pro needs Python for the scripts in its folder, the command-line tools its instructions call (uv) and credentials named GEMINI_API_KEY. Our summary lists: Python 3; A credential in GEMINI_API_KEY.

Does Nano Banana Pro access the network?

SKILL.md contains no URLs. Its commands use uv, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Nano Banana Pro safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Nano Banana Pro use?

Nano Banana Pro is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Nano Banana Pro use?

About 1.4k tokens (SKILL.md is roughly 5.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Nano Banana Pro?

Skills that share tags, products or a category with Nano Banana Pro: AI Image Generation and Editing (zhayujie/CowAgent, 47k stars), Logo Generator (op7418/logo-generator-skill, 2.2k stars), Gemini Web Reverse-Engineered Client (JimLiu/baoyu-skills, 27k stars) and SEO Image Generator (AgriciDaniel/claude-seo, 19k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Nano Banana Pro?

CraftOS-dev (a GitHub user) maintains it in CraftOS-dev/CraftBot, which has 392 GitHub stars. The repository holds 89 skills in this directory. The repository was last updated on October 9, 2026.

Source: CraftOS-dev/CraftBot on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.