Gemini Image
tyrchen/geektime-bootcamp-ai
Reference guide for using google-genai Python library to generate images with gemini-3-pro-image-preview model.
Generate, edit, and compose images using Gemini Nano Banana models via portable Python scripts.
Install Nano Banana Use
$ npx skills add cnemri/google-genai-skills --skill nano-banana-use -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install cnemri/google-genai-skills nano-banana-use --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/cnemri/google-genai-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/nano-banana-use .claude/skills/nano-banana-use && rm -rf skills-srcUse ~/.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/
Install the "nano-banana-use" agent skill from https://github.com/cnemri/google-genai-skills/tree/main/skills/nano-banana-use into .claude/skills/nano-banana-use/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nano-banana-use", 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 install https://github.com/cnemri/google-genai-skills/tree/main/skills/nano-banana-useType 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.
$ npx skills add cnemri/google-genai-skills --skill nano-banana-use -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install cnemri/google-genai-skills nano-banana-use --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/cnemri/google-genai-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/nano-banana-use .agents/skills/nano-banana-use && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "nano-banana-use" agent skill from https://github.com/cnemri/google-genai-skills/tree/main/skills/nano-banana-use into .agents/skills/nano-banana-use/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nano-banana-use", 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.
$ npx skills add cnemri/google-genai-skills --skill nano-banana-use -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install cnemri/google-genai-skills nano-banana-use --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/cnemri/google-genai-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/nano-banana-use .cursor/skills/nano-banana-use && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "nano-banana-use" agent skill from https://github.com/cnemri/google-genai-skills/tree/main/skills/nano-banana-use into .cursor/skills/nano-banana-use/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nano-banana-use", 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 https://github.com/cnemri/google-genai-skills.git --path skills/nano-banana-use--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add cnemri/google-genai-skills --skill nano-banana-use -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install cnemri/google-genai-skills nano-banana-use --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/cnemri/google-genai-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/nano-banana-use .gemini/skills/nano-banana-use && rm -rf skills-srcUse ~/.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/
Install the "nano-banana-use" agent skill from https://github.com/cnemri/google-genai-skills/tree/main/skills/nano-banana-use into .gemini/skills/nano-banana-use/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nano-banana-use", 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.
$ gh skill install cnemri/google-genai-skills nano-banana-useInstalls 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).
$ npx skills add cnemri/google-genai-skills --skill nano-banana-use -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/cnemri/google-genai-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/nano-banana-use .github/skills/nano-banana-use && rm -rf skills-srcUse ~/.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/
Install the "nano-banana-use" agent skill from https://github.com/cnemri/google-genai-skills/tree/main/skills/nano-banana-use into .github/skills/nano-banana-use/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nano-banana-use", 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.
$ npx skills add cnemri/google-genai-skills --skill nano-banana-use -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install cnemri/google-genai-skills nano-banana-use --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/cnemri/google-genai-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/nano-banana-use .opencode/skills/nano-banana-use && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "nano-banana-use" agent skill from https://github.com/cnemri/google-genai-skills/tree/main/skills/nano-banana-use into .opencode/skills/nano-banana-use/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nano-banana-use", 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-use- GitHub stars
- 127
- Token cost
- ~587 tokens
- SKILL.md length
- 186 words
- Files
- 4 (incl. scripts)
- Skills in repo
- 10
- Repo updated
- First seen
- Licence
- MIT
At a glance
Generate, edit, and compose images using Gemini Nano Banana models via portable Python scripts.
- Works in 2 steps: API Key → Vertex AI
- Tasks that involve Image generation
- SKILL.md covers Prerequisites and Usage
- Runs Python scripts from its folder; calls uv; needs GOOGLE_API_KEY and GEMINI_API_KEY
What it does
Nano Banana Use is an agent skill from cnemri/google-genai-skills. Generate, edit, and compose images using Gemini Nano Banana models via portable Python scripts. Handles authentication via API Key or Vertex AI environment variables. Available parameters: prompt, model, aspect-ratio, safety-filter-level. Always confirm parameters with the user or explicitly state defaults before running.
Its SKILL.md is about 590 tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including scripts (for example `scripts/compose_image.py`, `scripts/edit_image.py` and `scripts/generate_image.py`).
It sits in Media & Creative, covering Image generation and LLM guardrails. It works with Google Gemini, Vertex AI and Python. The licence is MIT.
When your agent uses it
- Tasks that involve Image generation
- Tasks that involve LLM guardrails
Example prompts
- “/nano-banana-use”
Requirements
- Python 3
- A credential in GOOGLE_API_KEY
- A credential in GEMINI_API_KEY
Workflow steps
2 steps, taken from the first numbered list in SKILL.md.
- API Key
- Vertex AI
What it can do on your machine
Read from SKILL.md and the folder at commit 7277476. 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 3 files 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:
GOOGLE_API_KEYGEMINI_API_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Nano Banana Use loads about 587 tokens when it runs. Until then it costs about 85 tokens; SKILL.md has 186 words of instructions outside code blocks.
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 cnemri/google-genai-skills at commit 7277476, republished under its MIT licence (© cnemri). 186 words, ~587 tokens.
Download SKILL.mdSave it as
.claude/skills/nano-banana-use/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.- name
- nano-banana-use
- description
- Generate, edit, and compose images using Gemini Nano Banana models via portable Python scripts. Handles authentication via API Key or Vertex AI environment variables. Available parameters: prompt, model, aspect-ratio, safety-filter-level. Always confirm parameters with the user or explicitly state defaults before running.
Nano Banana Use
Use this skill to generate, edit, and compose images using Gemini's Nano Banana models (gemini-2.5-flash-image and gemini-3-pro-image-preview).
This skill uses portable Python scripts managed by uv.
Prerequisites
Ensure you have one of the following authentication methods configured in your environment:
API Key:
GOOGLE_API_KEYorGEMINI_API_KEY
Vertex AI:
GOOGLE_CLOUD_PROJECTGOOGLE_CLOUD_LOCATIONGOOGLE_GENAI_USE_VERTEXAI=1
Usage
Generate an Image
Step 1: Confirm Parameters Before running the script, confirm the following parameters with the user or state the defaults you will use:
- Prompt: The image description.
- Model: Default is
gemini-3-pro-image-preview. - Aspect Ratio: Default is
1:1. - Safety Filter: Default is
BLOCK_MEDIUM_AND_ABOVE.
Step 2: Run the Script
Run the python script using uv:
uv run skills/nano-banana-use/scripts/generate_image.py "A futuristic banana city" --output city.pngEdit an Image
Modify an existing image based on a text prompt.
uv run skills/nano-banana-use/scripts/edit_image.py original.png "Make the sky purple" --output edited.pngCompose Images
Generate a new image based on multiple input images and a prompt.
uv run skills/nano-banana-use/scripts/compose_image.py --image style.png --image subject.jpg "A painting of the subject in the style of the first image" --output composition.pngOptions
prompt: The text description of the image.--model: The model to use. Defaults togemini-3-pro-image-preview.--output: The filename for the saved image. Defaults togenerated_image.png.--aspect-ratio: The aspect ratio of the generated image. Defaults to1:1. Supported:1:1,16:9,4:3,3:4,9:16.--safety-filter-level: Safety filter threshold. Defaults toBLOCK_MEDIUM_AND_ABOVE.
© cnemri, 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-use of cnemri/google-genai-skills.
- SKILL.md
- scripts/compose_image.py
- scripts/edit_image.py
- scripts/generate_image.py
Open the folder on GitHubat commit 7277476
Compare with similar skills
Nano Banana Use 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Nano Banana Use this skillcnemri/google-genai-skills | 127 | — | ~587 | Automated safety check: Pass | MIT | |
| Gemini Imagetyrchen/geektime-bootcamp-ai | 236 | — | ~1.1k | Automated safety check: Pass | None | |
| Gemini Interactions APIAyuilos/Miffan | 225 | — | ~4.6k | Automated safety check: Pass | AGPL-3.0 | |
| Gflow CLIffroliva/gflow-cli | 278 | — | ~4.8k | Automated safety check: Notes | MIT | |
| Nanobananakenneth-liao/ai-launchpad-marketplace | 126 | — | ~4k | Automated safety check: Notes | None | |
| Generate Imagehappycapy-ai/Happycapy-skills | 137 | — | ~2k | Automated safety check: Notes | MIT |
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Categories
Questions about Nano Banana Use
What does Nano Banana Use do?
Generate, edit, and compose images using Gemini Nano Banana models via portable Python scripts. Nano Banana Use is an agent skill from cnemri/google-genai-skills. Generate, edit, and compose images using Gemini Nano Banana models via portable Python scripts.
When should I use Nano Banana Use?
Nano Banana Use fits situations like: tasks that involve Image generation; tasks that involve LLM guardrails.
How do I install Nano Banana Use in Claude Code?
Run `npx skills add cnemri/google-genai-skills --skill nano-banana-use -a claude-code`. Or copy the skill folder (skills/nano-banana-use in cnemri/google-genai-skills) into .claude/skills/nano-banana-use in your project. Claude Code loads it when a task matches its description.
How do I install Nano Banana Use in Codex?
Run `npx skills add cnemri/google-genai-skills --skill nano-banana-use -a codex`. Or copy the skill folder (skills/nano-banana-use in cnemri/google-genai-skills) into .agents/skills/nano-banana-use in your project. Codex loads it when a task matches its description.
Can I use Nano Banana Use 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 cnemri/google-genai-skills --skill nano-banana-use -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-use, .gemini/skills/nano-banana-use, .github/skills/nano-banana-use and .opencode/skills/nano-banana-use in your project.
What does Nano Banana Use need to run?
Going by SKILL.md and its folder, Nano Banana Use needs Python for the scripts in its folder, the command-line tools its instructions call (uv) and credentials named GOOGLE_API_KEY and GEMINI_API_KEY. Our summary lists: Python 3; A credential in GOOGLE_API_KEY; A credential in GEMINI_API_KEY.
Does Nano Banana Use 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 Use 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 use?
Nano Banana Use 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 use?
About 587 tokens (SKILL.md is roughly 2.3k 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 Use?
Skills that share tags, products or a category with Nano Banana Use: Gemini Image (tyrchen/geektime-bootcamp-ai, 236 stars), Gemini Interactions API (Ayuilos/Miffan, 225 stars), Gflow CLI (ffroliva/gflow-cli, 278 stars) and Nanobanana (kenneth-liao/ai-launchpad-marketplace, 126 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Nano Banana Use?
cnemri (a GitHub user) maintains it in cnemri/google-genai-skills, which has 127 GitHub stars. The repository holds 10 skills in this directory. The repository was last updated on February 6, 2026.
Source: cnemri/google-genai-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.