SEO Image Generator
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.
Generate images using Google's Nano Banana Pro (gemini-3-pro-image-preview).
Install Nano Banana Pro
$ npx skills add nicepkg/ai-workflow --skill nano-banana-pro -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install nicepkg/ai-workflow nano-banana-pro --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/nicepkg/ai-workflow.git skills-src && mkdir -p .claude/skills && cp -r skills-src/workflows/talk-to-slidev-workflow/.claude/skills/nano-banana-pro .claude/skills/nano-banana-pro && 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-pro" agent skill from https://github.com/nicepkg/ai-workflow/tree/main/workflows/talk-to-slidev-workflow/.claude/skills/nano-banana-pro into .claude/skills/nano-banana-pro/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nano-banana-pro", 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/nicepkg/ai-workflow/tree/main/workflows/talk-to-slidev-workflow/.claude/skills/nano-banana-proType 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 nicepkg/ai-workflow --skill nano-banana-pro -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install nicepkg/ai-workflow nano-banana-pro --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/nicepkg/ai-workflow.git skills-src && mkdir -p .agents/skills && cp -r skills-src/workflows/talk-to-slidev-workflow/.claude/skills/nano-banana-pro .agents/skills/nano-banana-pro && 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-pro" agent skill from https://github.com/nicepkg/ai-workflow/tree/main/workflows/talk-to-slidev-workflow/.claude/skills/nano-banana-pro into .agents/skills/nano-banana-pro/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nano-banana-pro", 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 nicepkg/ai-workflow --skill nano-banana-pro -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install nicepkg/ai-workflow nano-banana-pro --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/nicepkg/ai-workflow.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/workflows/talk-to-slidev-workflow/.claude/skills/nano-banana-pro .cursor/skills/nano-banana-pro && 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-pro" agent skill from https://github.com/nicepkg/ai-workflow/tree/main/workflows/talk-to-slidev-workflow/.claude/skills/nano-banana-pro into .cursor/skills/nano-banana-pro/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nano-banana-pro", 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/nicepkg/ai-workflow.git --path workflows/talk-to-slidev-workflow/.claude/skills/nano-banana-pro--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 nicepkg/ai-workflow --skill nano-banana-pro -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install nicepkg/ai-workflow nano-banana-pro --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/nicepkg/ai-workflow.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/workflows/talk-to-slidev-workflow/.claude/skills/nano-banana-pro .gemini/skills/nano-banana-pro && 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-pro" agent skill from https://github.com/nicepkg/ai-workflow/tree/main/workflows/talk-to-slidev-workflow/.claude/skills/nano-banana-pro into .gemini/skills/nano-banana-pro/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nano-banana-pro", 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 nicepkg/ai-workflow nano-banana-proInstalls 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 nicepkg/ai-workflow --skill nano-banana-pro -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/nicepkg/ai-workflow.git skills-src && mkdir -p .github/skills && cp -r skills-src/workflows/talk-to-slidev-workflow/.claude/skills/nano-banana-pro .github/skills/nano-banana-pro && 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-pro" agent skill from https://github.com/nicepkg/ai-workflow/tree/main/workflows/talk-to-slidev-workflow/.claude/skills/nano-banana-pro into .github/skills/nano-banana-pro/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nano-banana-pro", 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 nicepkg/ai-workflow --skill nano-banana-pro -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install nicepkg/ai-workflow nano-banana-pro --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/nicepkg/ai-workflow.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/workflows/talk-to-slidev-workflow/.claude/skills/nano-banana-pro .opencode/skills/nano-banana-pro && 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-pro" agent skill from https://github.com/nicepkg/ai-workflow/tree/main/workflows/talk-to-slidev-workflow/.claude/skills/nano-banana-pro into .opencode/skills/nano-banana-pro/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nano-banana-pro", 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-pro- GitHub stars
- 285
- Token cost
- ~806 tokens
- SKILL.md length
- 234 words
- Files
- 2
- Skills in repo
- 75
- Repo updated
- First seen
- Licence
- MIT
At a glance
Generate images using Google's Nano Banana Pro (gemini-3-pro-image-preview).
- User asks to create
- SKILL.md covers Prerequisites, Usage, Model Capabilities and Output
- Runs Python scripts from its folder; calls uv; needs GEMINI_API_KEY
- Tasks that involve Image generation
What it does
Nano Banana Pro is an agent skill from nicepkg/ai-workflow. 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.
Its SKILL.md is about 810 tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `generate_image.py`).
It sits in Media & Creative, covering Image generation and Infographics. It works with Google Gemini. The repository describes itself as: 🚀 170+ pre-built skills for Claude Code, Cursor, Codex & 14+ AI tools. Stop re-teaching your AI the same things. One command → instant domain expertise. Marketing, SEO, Trading… The licence is MIT.
When your agent uses it
- User asks to create
- Tasks that involve Image generation
- Tasks that involve Infographics
Example prompts
- “/nano-banana-pro”
Requirements
- Python 3
- A credential in GEMINI_API_KEY
- Pre-approved tools (allowed-tools): Bash(uv:*), Write, Read
What it can do on your machine
Read from SKILL.md and the folder at commit d167b41. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves these tools, so the agent can use them without asking each time:
Bash(uv:*)WriteRead
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships script files (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 806 tokens when it runs. Until then it costs about 100 tokens; SKILL.md has 234 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); files beside SKILL.md are not scanned.
SKILL.md
The full file from nicepkg/ai-workflow at commit d167b41, republished under its MIT licence (© nicepkg). 234 words, ~806 tokens.
Download SKILL.mdSave it as
.claude/skills/nano-banana-pro/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- nano-banana-pro
- description
- 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.
- allowed-tools
- Bash(uv:*), Write, Read
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:
uv run /path/to/skills/nano-banana-pro/generate_image.py "your prompt" -o output.pngWhen 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:
uv run generate_image.py "A sunset over mountains" -o sunset.pngInfographic with specific aspect ratio:
uv run generate_image.py "Infographic showing the water cycle with labeled stages" -o water_cycle.png --aspect-ratio 9:16High-resolution ultrawide:
uv run generate_image.py "Professional photo of a modern office space" -o office.png --aspect-ratio 21:9 --size 4KEdit an existing image:
uv run generate_image.py "Add a sunset sky to this image" -i photo.png -o edited.pngTransform with style:
uv run generate_image.py "Make this look like a watercolor painting" -i input.jpg -o watercolor.pngCombine multiple images:
uv run generate_image.py "Create a collage blending these images together" -i img1.png -i img2.png -o collage.pngUse image as context/reference:
uv run generate_image.py "Generate a new landscape in the same style as this reference" -i reference.png -o new_landscape.pngModel Capabilities
Nano Banana Pro excels at:
- Accurate infographics with real data (uses Google Search grounding)
- Text rendering in images
- Image editing and transformation from input images
- Context-aware generation using reference images for style, composition, or subject
- Cartographic visualizations and maps
- Detailed instruction following
- Chain-of-thought reasoning for complex visual tasks
Output
The script prints:
- Progress message while generating
- Path to saved image on success
- Any text response from the model
- Error message if no image was generated
© nicepkg, 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 1 other file in workflows/talk-to-slidev-workflow/.claude/skills/nano-banana-pro of nicepkg/ai-workflow.
- SKILL.md
- generate_image.py
Open the folder on GitHubat commit d167b41
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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Nano Banana Pro this skillnicepkg/ai-workflow | 285 | — | ~806 | Automated safety check: Pass | MIT | |
| SEO Image GeneratorAgriciDaniel/claude-seo | 19k | 2 repos | ~2.1k | Automated safety check: Pass | MIT | |
| Gemini Carouselcharlie947/social-media-skills | 3.8k | — | ~1.7k | Automated safety check: Pass | MIT | |
| Tech Article Diagramwwwzhouhui/skills_collection | 283 | — | ~1.8k | Automated safety check: Pass | None | |
| Create Explanatory ImageAbilityai/cornelius | 109 | — | ~2.8k | Automated safety check: Notes | MIT | |
| InfographicsK-Dense-AI/scientific-agent-skills | 48k | 1 repos | ~3.8k | Automated safety check: Notes | MIT |
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Works with
Categories
Questions about Nano Banana Pro
What does Nano Banana Pro do?
Generate images using Google's Nano Banana Pro (gemini-3-pro-image-preview). Nano Banana Pro is an agent skill from nicepkg/ai-workflow. Generate images using Google's Nano Banana Pro (gemini-3-pro-image-preview).
When should I use Nano Banana Pro?
Nano Banana Pro fits situations like: user asks to create; tasks that involve Image generation; tasks that involve Infographics.
How do I install Nano Banana Pro in Claude Code?
Run `npx skills add nicepkg/ai-workflow --skill nano-banana-pro -a claude-code`. Or copy the skill folder (workflows/talk-to-slidev-workflow/.claude/skills/nano-banana-pro in nicepkg/ai-workflow) 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 nicepkg/ai-workflow --skill nano-banana-pro -a codex`. Or copy the skill folder (workflows/talk-to-slidev-workflow/.claude/skills/nano-banana-pro in nicepkg/ai-workflow) 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 nicepkg/ai-workflow --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. Its frontmatter pre-approves these tools: Bash(uv:*), Write, Read.
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. Review the folder before installing.
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 806 tokens (SKILL.md is roughly 3.2k 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: SEO Image Generator (AgriciDaniel/claude-seo, 19k stars), Gemini Carousel (charlie947/social-media-skills, 3.8k stars), Tech Article Diagram (wwwzhouhui/skills_collection, 283 stars) and Create Explanatory Image (Abilityai/cornelius, 109 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?
nicepkg (a GitHub organization) maintains it in nicepkg/ai-workflow, which has 285 GitHub stars. The repository holds 75 skills in this directory. The repository was last updated on January 20, 2026.
Source: nicepkg/ai-workflow on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.