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nano-banana▌

kkoppenhaver/cc-nano-banana · updated Apr 8, 2026

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$npx skills add https://github.com/kkoppenhaver/cc-nano-banana --skill nano-banana
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summary

Generate professional images via the Gemini CLI's nanobanana extension.

skill.md

Nano Banana Image Generation

Generate professional images via the Gemini CLI's nanobanana extension.

When to Use This Skill

ALWAYS use this skill when the user:

  • Asks for any image, graphic, illustration, or visual
  • Wants a thumbnail, featured image, or banner
  • Requests icons, diagrams, or patterns
  • Asks to edit, modify, or restore a photo
  • Uses words like: generate, create, make, draw, design, visualize

Do NOT attempt to generate images through any other method.

Before First Use

  1. Verify extension is installed: 
    gemini extensions list | grep nanobanana
  2. If missing, install it: 
    gemini extensions install https://github.com/gemini-cli-extensions/nanobanana
  3. Verify API key is set: 
    [ -n "$GEMINI_API_KEY" ] && echo "API key configured" || echo "Missing GEMINI_API_KEY"

Command Selection

User Request Command
"make me a blog header" /generate
"create an app icon" /icon
"draw a flowchart of..." /diagram
"fix this old photo" /restore
"remove the background" /edit
"create a repeating texture" /pattern
"make a comic strip" /story

Available Commands

Note: Always use the --yolo flag to automatically approve all tool actions.

Command Use Case
gemini --yolo "/generate 'prompt'" Text-to-image generation
gemini --yolo "/edit file.png 'instruction'" Modify existing image
gemini --yolo "/restore old_photo.jpg 'fix scratches'" Repair damaged photos
gemini --yolo "/icon 'description'" App icons, favicons, UI elements
gemini --yolo "/diagram 'description'" Flowcharts, architecture diagrams
gemini --yolo "/pattern 'description'" Seamless textures and patterns
gemini --yolo "/story 'description'" Sequential/narrative images
gemini --yolo "/nanobanana prompt" Natural language interface

Common Options

  • --yolo - Required. Auto-approve all tool actions (no confirmation prompts)
  • --count=N - Generate N variations (1-8)
  • --preview - Auto-open generated images
  • --styles="style1,style2" - Apply artistic styles
  • --format=grid|separate - Output arrangement

Common Sizes

Use Case Dimensions Notes
YouTube thumbnail 1280x720 --aspect=16:9
Blog featured image 1200x630 Social preview friendly
Square social 1080x1080 Instagram, LinkedIn
Twitter/X header 1500x500 Wide banner
Vertical story 1080x1920 --aspect=9:16

Model Selection

Default: gemini-2.5-flash-image (~$0.04/image)

For higher quality (4K, better reasoning):

export NANOBANANA_MODEL=gemini-3-pro-image-preview

Blog Featured Image Examples

# Modern illustration style
gemini --yolo "/generate 'modern flat illustration of developer coding at laptop, purple and blue gradient background, minimalist style, no text' --preview"

# Professional photography style
gemini --yolo "/generate 'professional editorial photo of coffee cup next to laptop on wooden desk, morning sunlight, shallow depth of field, no text' --count=3"

# Tech/abstract
gemini --yolo "/generate 'abstract visualization of neural network connections, dark background with glowing blue nodes, futuristic style' --preview"

Icon Generation

gemini --yolo "/icon 'minimalist app logo for productivity tool' --sizes='64,128,256,512' --type='app-icon' --corners='rounded'"

Diagram Generation

gemini --yolo "/diagram 'user authentication flow with OAuth' --type='flowchart' --style='modern'"

Output Location

All generated images are saved to ./nanobanana-output/ in the current directory.

Presenting Results

After generation completes:

  1. List contents of ./nanobanana-output/ to find generated files
  2. Present the most recent image(s) to the user
  3. Offer to regenerate with variations if needed

Refinements and Iterations

When the user asks for changes:

  • "Try again" / "Give me options": Regenerate with --count=3
  • "Make it more [adjective]": Adjust prompt and regenerate
  • "Edit this one": Use gemini --yolo "/edit nanobanana-output/filename.png 'adjustment'"
  • "Different style": Add --styles="requested_style" to the command

Prompt Tips

  1. Be specific: Include style, mood, colors, composition details
  2. Add "no text": If you don't want text rendered in the image
  3. Reference styles: "editorial photography", "flat illustration", "3D render", "watercolor"
  4. Specify aspect ratio context: "wide banner", "square thumbnail", "vertical story"

Troubleshooting

Problem Solution
GEMINI_API_KEY not set export GEMINI_API_KEY="your-key"
Extension not found Run install command from setup section
Quota exceeded Wait for reset or switch to flash model
Image generation failed Check prompt for policy violations, simplify request
Output directory missing Will be created automatically on first run
how to use nano-banana

How to use nano-banana on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • ›Cursor installed and configured on your development machine
  • ›Node.js version 16.0+ with npm package manager (verify with node --version)
  • ›Active project directory or workspace where you want to add nano-banana
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/kkoppenhaver/cc-nano-banana --skill nano-banana

The skills CLI fetches nano-banana from GitHub repository kkoppenhaver/cc-nano-banana and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/nano-banana

Reload or restart Cursor to activate nano-banana. Access the skill through slash commands (e.g., /nano-banana) or your agent's skill management interface.

⚠

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

Additional Resources

›View source code on GitHub›Skills CLI documentation›Learn more about Cursor›What are agent skills?

List & Monetize Your Skill

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Use Cases▌

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

✓

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

✓

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

✓

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

✓

Save 3-5 hours/week on communication overhead

Implementation Guide▌

Prerequisites

  • ›Claude Desktop or compatible AI client
  • ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • ›Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • ⚠Not validating competitive research—verify facts before sharing
  • ⚠Accepting user stories without involving engineering team
  • ⚠Over-relying on frameworks without qualitative judgment
  • ⚠Not customizing outputs to company culture and communication style
  • ⚠Skipping stakeholder validation of generated requirements

Best Practices▌

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • −Don't publish competitive analysis without fact-checking
  • −Don't finalize user stories without engineering review
  • −Don't make prioritization decisions solely on AI scoring
  • −Don't skip customer validation of generated requirements
  • −Don't ignore company-specific context and culture

💡 Pro Tips

  • ★Provide context: company goals, constraints, customer feedback
  • ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • ★Use skill for 70% generation + 30% customization to company needs

When to Use This▌

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path▌

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
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general reviews

Ratings

4.5★★★★★70 reviews
  • ★★★★★Dhruvi Jain· Dec 28, 2024

    Keeps context tight: nano-banana is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • ★★★★★Fatima Agarwal· Dec 24, 2024

    Keeps context tight: nano-banana is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • ★★★★★Ama Li· Dec 20, 2024

    nano-banana is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • ★★★★★Henry Gupta· Dec 20, 2024

    nano-banana fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • ★★★★★Evelyn Zhang· Dec 8, 2024

    nano-banana is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • ★★★★★Emma Mehta· Dec 4, 2024

    nano-banana reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • ★★★★★Henry Sharma· Nov 27, 2024

    Solid pick for teams standardizing on skills: nano-banana is focused, and the summary matches what you get after install.

  • ★★★★★James Martinez· Nov 23, 2024

    We added nano-banana from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • ★★★★★Oshnikdeep· Nov 19, 2024

    nano-banana has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • ★★★★★Fatima Nasser· Nov 15, 2024

    nano-banana has been reliable in day-to-day use. Documentation quality is above average for community skills.

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