AI Image Generation and Editing
zhayujie/CowAgent
Generates or edits images from text prompts through a Python script that picks an image backend based on which API keys are configured.
This skill enables image generation and editing using Google's Gemini Nano Banana models.
$ npx skills add mikeOnBreeze/cc-crossbeam --skill nano-banana -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install mikeOnBreeze/cc-crossbeam nano-banana --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/mikeOnBreeze/cc-crossbeam.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/nano-banana .claude/skills/nano-banana && 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" agent skill from https://github.com/mikeOnBreeze/cc-crossbeam/tree/main/.claude/skills/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 install https://github.com/mikeOnBreeze/cc-crossbeam/tree/main/.claude/skills/nano-bananaType 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 mikeOnBreeze/cc-crossbeam --skill nano-banana -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install mikeOnBreeze/cc-crossbeam nano-banana --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mikeOnBreeze/cc-crossbeam.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/nano-banana .agents/skills/nano-banana && 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" agent skill from https://github.com/mikeOnBreeze/cc-crossbeam/tree/main/.claude/skills/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.
$ npx skills add mikeOnBreeze/cc-crossbeam --skill nano-banana -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install mikeOnBreeze/cc-crossbeam nano-banana --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mikeOnBreeze/cc-crossbeam.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/nano-banana .cursor/skills/nano-banana && 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" agent skill from https://github.com/mikeOnBreeze/cc-crossbeam/tree/main/.claude/skills/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 https://github.com/mikeOnBreeze/cc-crossbeam.git --path .claude/skills/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.
$ npx skills add mikeOnBreeze/cc-crossbeam --skill nano-banana -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install mikeOnBreeze/cc-crossbeam nano-banana --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mikeOnBreeze/cc-crossbeam.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/nano-banana .gemini/skills/nano-banana && 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" agent skill from https://github.com/mikeOnBreeze/cc-crossbeam/tree/main/.claude/skills/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.
$ gh skill install mikeOnBreeze/cc-crossbeam nano-bananaInstalls 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 mikeOnBreeze/cc-crossbeam --skill nano-banana -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/mikeOnBreeze/cc-crossbeam.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/nano-banana .github/skills/nano-banana && 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" agent skill from https://github.com/mikeOnBreeze/cc-crossbeam/tree/main/.claude/skills/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.
$ npx skills add mikeOnBreeze/cc-crossbeam --skill nano-banana -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install mikeOnBreeze/cc-crossbeam nano-banana --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mikeOnBreeze/cc-crossbeam.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/nano-banana .opencode/skills/nano-banana && 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" agent skill from https://github.com/mikeOnBreeze/cc-crossbeam/tree/main/.claude/skills/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.
nano-bananaThis skill enables image generation and editing using Google's Gemini Nano Banana models.
Nano Banana is an agent skill from mikeOnBreeze/cc-crossbeam. This skill enables image generation and editing using Google's Gemini Nano Banana models. Use this skill when the user asks to generate images from text prompts, edit existing images, or modify pictures. Supports text-to-image generation, image editing with prompts, and multi-image reference for consistency.
Its SKILL.md is about 940 tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts and reference files (for example `references/api_reference.md`, `scripts/edit_image.py` and `scripts/generate_image.py`).
It sits in Media & Creative, covering Image generation. It works with Google Gemini. The repository describes itself as: CrossBeam Permits — AI-assisted building-permit plan review for cities and builders. The licence is MIT.
2 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit cc5591e. It shows what the files ask for, not the result of running them.
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.
Ships 3 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
pythonpipFrom the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
aistudio.google.comFrom URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
GEMINI_API_KEYFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Nano Banana loads about 944 tokens when it runs, and up to ~1.9k if it reads all its reference files. Until then it costs about 80 tokens; SKILL.md has 268 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.
The automated check noted patterns worth knowing about, such as sudo or a known installer.
res a `GEMINI_API_KEY` in the project's `.env` or `.env.local` file: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.
The full file from mikeOnBreeze/cc-crossbeam at commit cc5591e, republished under its MIT licence (© mikeOnBreeze). 268 words, ~944 tokens.
.claude/skills/nano-banana/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.Image generation and editing skill powered by Google Gemini's Nano Banana models.
This skill requires a GEMINI_API_KEY in the project's .env or .env.local file:
GEMINI_API_KEY=your_api_key_hereTo obtain an API key, visit: https://aistudio.google.com/apikey
Generate images from text descriptions using scripts/generate_image.py:
python scripts/generate_image.py "a serene Japanese garden with cherry blossoms" \
--aspect-ratio 16:9Parameters:
prompt (required): Text description of the image to generate--output: Output directory or file path (default: current directory)--filename: Custom filename (default: auto-generated with timestamp)--aspect-ratio: Image aspect ratio (default: 1:1)--model: Model to use (default: gemini-3-pro-image-preview)Edit existing images with text prompts using scripts/edit_image.py:
python scripts/edit_image.py "remove the background and make it transparent" \
--images photo.png
python scripts/edit_image.py "change the sky to sunset colors" \
--images landscape.jpg \
--output edited_landscape.pngMultiple Image Support (for consistency/reference):
python scripts/edit_image.py "create a collage combining these images" \
--images img1.png img2.png img3.png \
--aspect-ratio 16:9Parameters:
prompt (required): Text description of the edit--images (required): One or more input image paths--output: Output directory or file path (default: current directory)--filename: Custom filename (default: auto-generated)--aspect-ratio: Output aspect ratio (optional)--model: Model to use1:1 | 2:3 | 3:2 | 3:4 | 4:3 | 4:5 | 5:4 | 9:16 | 16:9 | 21:9
gemini-3-pro-image-preview (default) - Nano Banana Pro: Higher quality, advanced reasoning, supports up to 14 reference imagesgemini-2.5-flash-image - Nano Banana: Faster generation, lower cost, good for quick iterationsGenerate a logo:
python scripts/generate_image.py "minimalist tech company logo, blue gradient, modern" \
--aspect-ratio 1:1 --filename logo.pngGenerate social media content:
python scripts/generate_image.py "cozy coffee shop interior, warm lighting" \
--aspect-ratio 9:16Edit a product photo:
python scripts/edit_image.py "place this product on a wooden table with soft lighting" \
--images product.png --aspect-ratio 4:3Quick iteration with Flash model:
python scripts/generate_image.py "abstract art, vibrant colors" \
--model gemini-2.5-flash-imagegenerate_image.py - Text-to-image generation scriptedit_image.py - Image editing with text promptsrequirements.txt - Python dependencies (install with pip install -r requirements.txt)api_reference.md - Detailed API documentation, error codes, and troubleshootingpip install -r scripts/requirements.txt© mikeOnBreeze, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 4 other files (scripts, references) in .claude/skills/nano-banana of mikeOnBreeze/cc-crossbeam.
Open the folder on GitHubat commit cc5591e
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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Nano Banana this skillmikeOnBreeze/cc-crossbeam | 293 | — | ~944 | Automated safety check: Notes | MIT | |
| AI Image Generation and Editingzhayujie/CowAgent | 47k | — | ~1.3k | Automated safety check: Pass | MIT | |
| Logo Generatorop7418/logo-generator-skill | 2.2k | — | ~1.8k | Automated safety check: Notes | None | |
| Gemini Web Reverse-Engineered ClientJimLiu/baoyu-skills | 27k | 5 repos | ~1.6k | Automated safety check: Pass | MIT | |
| SEO Image GeneratorAgriciDaniel/claude-seo | 19k | 2 repos | ~2.1k | Automated safety check: Pass | MIT | |
| BlockRun Image GenerationBlockRunAI/ClawRouter | 6.6k | — | ~2.1k | Automated safety check: Pass | MIT |
zhayujie/CowAgent
Generates or edits images from text prompts through a Python script that picks an image backend based on which API keys are configured.
op7418/logo-generator-skill
Generate professional SVG logos and high-end showcase images.
JimLiu/baoyu-skills
Generates text and images through an unofficial, reverse-engineered Gemini Web API, supporting reference images and multi-turn conversations.
AgriciDaniel/claude-seo
Generates Open Graph previews, blog hero images, product photos and infographics for SEO use through Gemini image tools and the banana extension.
BlockRunAI/ClawRouter
Generates or edits images through ClawRouter's local image API, with a choice of models and sizes and payment handled automatically through x402.
uluckyXH/OpenMOSS
Generate or edit images using the Antigravity-hosted Gemini image model via the local gateway.
mikeOnBreeze/cc-crossbeam
This skill extracts construction PDF plan binders into agent-consumable formats.
mikeOnBreeze/cc-crossbeam
Extracts construction plan PDFs into page PNGs, reads the sheet index to build a sheet-to-page manifest, and enables targeted viewing of specific sheets.
mikeOnBreeze/cc-crossbeam
This skill enables AI video generation from images AND text-to-speech voiceover generation using Fal.ai's API.
mikeOnBreeze/cc-crossbeam
Researches city-level ADU regulations, municipal codes, and standard details for any California city.
mikeOnBreeze/cc-crossbeam
City-side ADU plan review — the flip side of adu-corrections-flow.
mikeOnBreeze/cc-crossbeam
Operations manual for the CrossBeam ADU Permit Assistant. An agent skill from mikeOnBreeze/cc-crossbeam.
Works with
Categories
This skill enables image generation and editing using Google's Gemini Nano Banana models. Nano Banana is an agent skill from mikeOnBreeze/cc-crossbeam. This skill enables image generation and editing using Google's Gemini Nano Banana models.
Nano Banana fits situations like: the user asks to generate images from text prompts; edit existing images; modify pictures.
Run `npx skills add mikeOnBreeze/cc-crossbeam --skill nano-banana -a claude-code`. Or copy the skill folder (.claude/skills/nano-banana in mikeOnBreeze/cc-crossbeam) into .claude/skills/nano-banana in your project. Claude Code loads it when a task matches its description.
Run `npx skills add mikeOnBreeze/cc-crossbeam --skill nano-banana -a codex`. Or copy the skill folder (.claude/skills/nano-banana in mikeOnBreeze/cc-crossbeam) into .agents/skills/nano-banana in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add mikeOnBreeze/cc-crossbeam --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.
Going by SKILL.md and its folder, Nano Banana needs Python for the scripts in its folder, the command-line tools its instructions call (python and pip) and credentials named GEMINI_API_KEY. Our summary lists: Python 3; A credential in GEMINI_API_KEY.
SKILL.md names 1 domain. As links in the text: aistudio.google.com. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. 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.
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.
About 944 tokens (SKILL.md is roughly 3.8k 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 910 tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Nano Banana: 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.
mikeOnBreeze (a GitHub user) maintains it in mikeOnBreeze/cc-crossbeam, which has 293 GitHub stars. The repository holds 20 skills in this directory. The repository was last updated on March 2, 2026.
Source: mikeOnBreeze/cc-crossbeam on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.