Agent skill

Nano Banana

Generate and edit images using Google's Gemini image generation models (Nano Banana family).

Install Nano Banana

skills CLI

$ npx skills add glebis/claude-skills --skill nano-banana -a claude-code

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

GitHub CLI

$ gh skill install glebis/claude-skills nano-banana --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/glebis/claude-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/nano-banana .claude/skills/nano-banana && 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/

Paste into Claude Code

Install the "nano-banana" agent skill from https://github.com/glebis/claude-skills/tree/main/nano-banana into .claude/skills/nano-banana/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nano-banana", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/glebis/claude-skills/tree/main/nano-banana

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add glebis/claude-skills --skill nano-banana -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install glebis/claude-skills nano-banana --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/glebis/claude-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/nano-banana .agents/skills/nano-banana && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "nano-banana" agent skill from https://github.com/glebis/claude-skills/tree/main/nano-banana into .agents/skills/nano-banana/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nano-banana", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add glebis/claude-skills --skill nano-banana -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install glebis/claude-skills nano-banana --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/glebis/claude-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/nano-banana .cursor/skills/nano-banana && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "nano-banana" agent skill from https://github.com/glebis/claude-skills/tree/main/nano-banana into .cursor/skills/nano-banana/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nano-banana", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/glebis/claude-skills.git --path nano-banana

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add glebis/claude-skills --skill nano-banana -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install glebis/claude-skills nano-banana --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/glebis/claude-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/nano-banana .gemini/skills/nano-banana && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "nano-banana" agent skill from https://github.com/glebis/claude-skills/tree/main/nano-banana into .gemini/skills/nano-banana/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nano-banana", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install glebis/claude-skills nano-banana

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add glebis/claude-skills --skill nano-banana -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/glebis/claude-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/nano-banana .github/skills/nano-banana && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "nano-banana" agent skill from https://github.com/glebis/claude-skills/tree/main/nano-banana into .github/skills/nano-banana/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nano-banana", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add glebis/claude-skills --skill nano-banana -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install glebis/claude-skills nano-banana --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/glebis/claude-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/nano-banana .opencode/skills/nano-banana && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "nano-banana" agent skill from https://github.com/glebis/claude-skills/tree/main/nano-banana into .opencode/skills/nano-banana/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nano-banana", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: nano-banana
GitHub stars: 391
Token cost: ~2.1k tokens
SKILL.md length: 645 words
Files: 8 (incl. scripts, references)
Skills in repo: 92
Repo updated: Oct 8, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Generate and edit images using Google's Gemini image generation models (Nano Banana family).

Tasks that involve Image generation
SKILL.md covers When to Use, First-Time Setup, Quick Start and Requirements, plus 7 more sections
Runs Shell and Python scripts from its folder; calls python3 and magick; needs GEMINI_API_KEY
Tasks that involve Image editing

What it does

Nano Banana is an agent skill from glebis/claude-skills. Generate and edit images using Google's Gemini image generation models (Nano Banana family). Supports style presets, platform-specific sizing (YouTube/slides/blog), variants, image editing via inlineData, reference images for style transfer, and organized output with metadata. Default model is Nano Banana 2 (gemini-3.1-flash-image-preview). Key is auto-decrypted via SOPS.

Its SKILL.md is about 2.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 10 other files, including scripts and reference files (for example `.claude-plugin/plugin.json`, `platforms.yaml` and `presets.yaml`).

It sits in Media & Creative, covering Image generation and Image editing. It works with Google Gemini and YouTube. The repository describes itself as: Collection of Claude Code skills for enhanced AI workflows. The licence is MIT.

When your agent uses it

Tasks that involve Image generation
Tasks that involve Image editing

Example prompts

“/nano-banana”

Requirements

Python 3
A Bash shell
A credential in GEMINI_API_KEY

What it can do on your machine

Read from SKILL.md and the folder at commit 3b88261. 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 2 files in scripts/ (Shell and Python), which the agent can run.
Shell commands in SKILL.md call:
- python3
- magick
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
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 loads about 2.1k tokens when it runs, and up to ~2.8k if it reads all its reference files. Until then it costs about 97 tokens; SKILL.md has 645 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~97
When it runs · the whole SKILL.md, loaded when a task matches: ~2.1k
With references · SKILL.md plus every file in references/, read only if the agent opens them: ~2.8k

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 glebis/claude-skills at commit 3b88261, republished under its MIT licence (© glebis). 645 words, ~2,062 tokens.

Download SKILL.mdSave it as .claude/skills/nano-banana/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.

name: nano-banana
description: Generate and edit images using Google's Gemini image generation models (Nano Banana family). Supports style presets, platform-specific sizing (YouTube/slides/blog), variants, image editing via inlineData, reference images for style transfer, and organized output with metadata. Default model is Nano Banana 2 (gemini-3.1-flash-image-preview). Key is auto-decrypted via SOPS.

Nano Banana - Gemini Image Generation

Generate and edit images from text prompts via Google's Gemini image generation API.

When to Use

User requests image generation, creation, or production from a text description
Editing existing images with text instructions
Style-transfer: generate new images that match the aesthetic of a reference
Creating illustrations for presentations, articles, thumbnails, social posts
Batch variations of the same concept

First-Time Setup

bash

scripts/nano_banana.py init

Wizard checks dependencies (sops, age, magick), verifies the API key, and saves defaults to ~/.config/nano-banana/config.yaml.

Quick Start

bash

# Simple generation
scripts/nano_banana.py "a minimalist illustration of a rocket" ./rocket.png

# With style preset
scripts/nano_banana.py --preset editorial "interconnected nodes" ./nodes.png

# YouTube thumbnail (auto-cropped to 1280x720)
scripts/nano_banana.py --preset grain --platform youtube "coffee on desk" ./thumb.png

# Generate 4 variants + contact sheet
scripts/nano_banana.py --preset wireframe "a crystal" ./crystal.png --n 4

# Edit existing image
scripts/nano_banana.py --edit ./old.png "make the background deep teal" ./new.png

# Style reference (match aesthetic of existing image)
scripts/nano_banana.py --reference ./style.png "a new mountain landscape" ./mountain.png

# Re-roll last prompt
scripts/nano_banana.py again

# View history
scripts/nano_banana.py history -n 10

Requirements

GEMINI_API_KEY — auto-decrypted from secrets.enc.yaml via SOPS + age. Fallback: export GEMINI_API_KEY=...
sops, age — for key decryption
magick (ImageMagick) — for platform fit + contact sheets
python3 with pyyaml

Models

Model	Alias	Nano Banana Name	Use When
`gemini-3.1-flash-image-preview` (default)	`flash`	Nano Banana 2	Best instruction following, fast
`gemini-3-pro-image-preview`	`pro`	Nano Banana Pro	Highest quality, text in images
`gemini-2.5-flash-image`	`flash-2.5`	Nano Banana (original)	Legacy

Use via --model flash|pro|flash-2.5 or full ID.

Style Presets

bash

scripts/nano_banana.py list-presets
scripts/nano_banana.py --preset editorial "your subject" out.png

Preset	Style
`editorial`	Thin lines on black, muted palette, technical diagram feel
`blueprint`	White/cyan lines on dark navy, engineering drawing
`ink`	Japanese sumi-e ink wash, organic brushstrokes, monochrome
`risograph`	Flat colors, grain, terracotta + sage, zine aesthetic
`wireframe`	3D wireframe mesh, glowing edges on black
`constellation`	Star map dots connected by faint lines, celestial
`brutalist`	Bold shapes, thick borders, hard shadows, flat colors
`grain`	Film grain photo, high ISO, warm cinematic tones

Defined in presets.yaml — edit to add your own.

Platform Presets

bash

scripts/nano_banana.py list-platforms
scripts/nano_banana.py --platform youtube "your subject" out.png

Generated image is automatically resized + center-cropped to target dimensions.

Platform	Size
`youtube`	1280×720
`youtube-short`	1080×1920
`slides`	1920×1080
`blog`	1200×630
`x`	1600×900
`square`	1080×1080
`story`	1080×1920
`pinterest`	1000×1500

Features

Variants + Contact Sheet

--n N generates N variants in parallel and assembles them into a contact sheet:

bash

scripts/nano_banana.py --preset ink "mountain" ./mt.png --n 6
# Creates mt-01.png ... mt-06.png + mt-contact.png

Batch generation (campaigns / multi-copy ad sets)

When each output needs different text or a different prompt (e.g. a set of ads sharing one style), loop over a list. --n won't help here — it re-rolls the same prompt. Use a shared $STYLE string + a per-item array.

bash

cd /abs/output/dir
REF="_reference.png"   # optional style anchor
STYLE="<shared visual-style description, written once>"

# Each entry: pipe-delimited fields + output filename. NAME the array — see gotchas.
ADS=(
"CALL NOW|FOR TOTAL|CONFIDENTIALITY|ad-callnow.png"
"REDACT|BEFORE|YOU SEND|ad-redact.png"
)
for entry in "${ADS[@]}"; do
  IFS='|' read -r L1 L2 L3 OUT <<< "$entry"
  python3 scripts/nano_banana.py \
    "$STYLE The exact text reads, on three centered lines: '$L1' / '$L2' / '$L3'. Spell every word correctly." \
    "$OUT" --reference "$REF" --platform youtube --model pro --no-metadata --project NAME
done

Shell gotchas (this is zsh on macOS — these bite every time):

Never name a loop array LINES, COLUMNS, PATH, path, status, argv, etc. — zsh reserves them. LINES=(...) fails with can't assign array value to non-array special. Use ADS, ITEMS, JOBS.
zsh does NOT word-split unquoted variables (unlike bash). CMD="magick montage"; $CMD ... looks for a single command literally named "magick montage". Don't stuff multi-word commands in a var — call the command directly, or use an array (cmd=(magick montage); "${cmd[@]}").
Always quote expansions — "$OUT", "${ADS[@]}" — paths and prompts contain spaces.
Use 'single quotes' for the exact text you want rendered, inside the double-quoted prompt, so the model reproduces it verbatim.
To parallelize a batch, append & per iteration and wait at the end — but cap concurrency (the API rate-limits); sequential is safest for >6 items.

After a batch, assemble a review sheet by calling the tool directly (no var indirection): magick montage ad-*.png -tile 2x3 -geometry 480x270+6+6 -background black _contact.png.

Show full SKILL.md (166 more words)Show less

Edit Mode

Pass an existing image and the prompt becomes the edit instruction:

bash

scripts/nano_banana.py --edit ./thumb.png "remove the watermark, warmer colors" ./clean.png

Reference Images (Style Anchor)

Use one or more reference images to guide the aesthetic without editing them:

bash

scripts/nano_banana.py --reference ./episode1.png --reference ./episode2.png \
  "episode 3: data drift" ./ep3.png

Projects + Metadata

Organize outputs by project:

bash

scripts/nano_banana.py --project lab-04/meeting-02 --preset editorial "MCP loops" ./overlay.png
# Saves to ~/nano-banana/outputs/lab-04/meeting-02/20260414-<subject>.png + .json sidecar

Re-roll + History

bash

scripts/nano_banana.py again              # rerun last prompt
scripts/nano_banana.py history -n 20      # show last 20 generations
scripts/nano_banana.py history --project lab-04

Dry Run

Preview the composed prompt without calling the API:

bash

scripts/nano_banana.py --preset editorial --platform youtube "subject" --dry-run

Transient Errors & Retry

The API occasionally returns 500/INTERNAL or empty candidates. The script retries up to 4 times with exponential backoff (2s, 4s, 8s, 16s). Permanent errors (4xx, safety violations) fail fast without retry.

Prompt Tips

Specify visual style: "photograph", "flat illustration", "watercolor", "3D render"
Include composition: "centered", "white background", "wide shot"
Name colors: "blue and white color scheme", "warm earth tones"
For text rendering, use --model pro and quote exact text: 'with the text "Hello"'

See references/api_reference.md for full API documentation.

Files

scripts/nano_banana.py — main CLI (Python)
scripts/generate_image.sh — thin bash wrapper (back-compat)
presets.yaml — style presets
platforms.yaml — platform sizing presets
secrets.enc.yaml — encrypted API key (SOPS + age)
~/.config/nano-banana/config.yaml — user defaults (from init)
~/.config/nano-banana/history.jsonl — generation log
~/.config/nano-banana/last.json — last run (for again)

Files

SKILL.md and 7 other files (scripts, references) in nano-banana of glebis/claude-skills.

SKILL.md
.claude-plugin/plugin.json
platforms.yaml
presets.yaml
references/api_reference.md
scripts/generate_image.sh
scripts/nano_banana.py
secrets.enc.yaml

Open the folder on GitHubat commit 3b88261

Compare with similar skills

Nano Banana 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 compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Nano Banana this skillglebis/claude-skills	391	—	~2.1k	Automated safety check: Pass	MIT	3 days ago
Nano Bananajh941213/my-cc-harness	125	—	~1k	Automated safety check: Pass	None	2 mo ago
AI Image Generation and Editingzhayujie/CowAgent	47k	—	~1.3k	Automated safety check: Pass	MIT	yesterday
BlockRun Image GenerationBlockRunAI/ClawRouter	6.6k	—	~2.1k	Automated safety check: Pass	MIT	6 days ago
Antigravity Gemini ImageuluckyXH/OpenMOSS	1.3k	—	~730	Automated safety check: Notes	MIT	3 mo ago
Nano Bananakkoppenhaver/cc-nano-banana	378	1 repos	~1.4k	Automated safety check: Pass	MIT	4 mo ago

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Works with

Questions about Nano Banana

What does Nano Banana do?

Generate and edit images using Google's Gemini image generation models (Nano Banana family). Nano Banana is an agent skill from glebis/claude-skills. Generate and edit images using Google's Gemini image generation models (Nano Banana family).

When should I use Nano Banana?

Nano Banana fits situations like: tasks that involve Image generation; tasks that involve Image editing.

How do I install Nano Banana in Claude Code?

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

How do I install Nano Banana in Codex?

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

Can I use Nano Banana 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 glebis/claude-skills --skill nano-banana -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, .gemini/skills/nano-banana, .github/skills/nano-banana and .opencode/skills/nano-banana in your project.

What does Nano Banana need to run?

Going by SKILL.md and its folder, Nano Banana needs a shell and Python for the scripts in its folder, the command-line tools its instructions call (python3 and magick) and credentials named GEMINI_API_KEY. Our summary lists: Python 3; A Bash shell; A credential in GEMINI_API_KEY.

Does Nano Banana access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Nano Banana 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 use?

Nano Banana 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 use?

About 2.1k tokens (SKILL.md is roughly 8.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 762 tokens, read only when the agent opens those files.

What are the alternatives to Nano Banana?

Skills that share tags, products or a category with Nano Banana: Nano Banana (jh941213/my-cc-harness, 125 stars), AI Image Generation and Editing (zhayujie/CowAgent, 47k stars), BlockRun Image Generation (BlockRunAI/ClawRouter, 6.6k stars) and Antigravity Gemini Image (uluckyXH/OpenMOSS, 1.3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Nano Banana?

glebis (a GitHub user) maintains it in glebis/claude-skills, which has 391 GitHub stars. The repository holds 92 skills in this directory. The repository was last updated on October 8, 2026.

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

Install Nano Banana

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Nano Banana - Gemini Image Generation

When to Use

First-Time Setup

Quick Start

Requirements

Models

Style Presets

Platform Presets

Features

Variants + Contact Sheet

Batch generation (campaigns / multi-copy ad sets)

Edit Mode

Reference Images (Style Anchor)

Projects + Metadata

Re-roll + History

Dry Run

Transient Errors & Retry

Prompt Tips

Files

Files

Compare with similar skills

Similar skills

More from glebis/claude-skills

Related

Questions about Nano Banana