Generate new images or edit existing images with Nano Banana 2 (gemini-3.1-flash-image-preview).
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionnano-banana-2Execute the skills CLI command in your project's root directory to begin installation:
Fetches nano-banana-2 from intellectronica/agent-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate nano-banana-2. Access via /nano-banana-2 in your agent's command palette.
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 environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
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
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
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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Generate new images or edit existing images with Nano Banana 2 (gemini-3.1-flash-image-preview).
Run the script using absolute or workspace-relative path (do NOT cd into the skill directory first):
Generate new image:
uv run ./.agents/skills/nano-banana-2/scripts/generate_image.py --prompt "your image description" --filename "output-name.png" [--resolution 512px|1K|2K|4K] [--aspect-ratio RATIO] [--api-key KEY]
Edit image(s) with references:
uv run ./.agents/skills/nano-banana-2/scripts/generate_image.py --prompt "editing instructions" --filename "output-name.png" --input-image "path/to/input1.png" [--input-image "path/to/input2.png" ...] [--resolution 512px|1K|2K|4K] [--aspect-ratio RATIO] [--api-key KEY]
Always run from the user's current working directory so outputs are saved in the active project context.
Use model code:
gemini-3.1-flash-image-preview (Nano Banana 2)Do not use gemini-3-pro-image-preview in this skill.
Nano Banana 2 supports:
512px (fastest, low-latency iteration)1K (default)2K4KMap common user language:
512px1K2K4KUse uppercase K for 1K, 2K, 4K.
Supported aspect ratios:
1:1, 1:4, 1:8, 2:3, 3:2, 3:4, 4:1, 4:3, 4:5, 5:4, 8:1, 9:16, 16:9, 21:9Map common requests:
1:19:1616:921:92:3 or 3:44:1 or 8:1If unspecified, let the model default behavior apply.
Provide up to 14 reference images when needed by repeating --input-image:
Use one image for simple edits; use multiple images for composition or consistency-sensitive tasks.
Resolve API key in this order:
--api-key argumentGEMINI_API_KEY environment variableIf no key is available, stop and report a clear error.
Generate filenames as: yyyy-mm-dd-hh-mm-ss-name.png
Examples:
2026-02-26-17-31-04-japanese-garden.png2026-02-26-17-31-59-social-banner.pngFor generation, pass the user's request as-is unless critically underspecified. For editing, include explicit transformation instructions in the prompt and preserve the original intent.
--filename)Create a 4K widescreen image:
uv run ./.agents/skills/nano-banana-2/scripts/generate_image.py --prompt "Futuristic city skyline at blue hour with neon reflections" --filename "2026-02-26-17-45-00-futuristic-skyline.png" --resolution 4K --aspect-ratio 16:9
Edit with multiple references:
uv run ./.agents/skills/nano-banana-2/scripts/generate_image.py --prompt "Create a polished campaign image that keeps the exact logo details and character identity" --filename "2026-02-26-17-50-10-campaign-image.png" --input-image "logo.png" --input-image "character.png" --resolution 2K --aspect-ratio 4:5
Make data-driven prioritization decisions faster
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
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ 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.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
mattpocock/skills
We added nano-banana-2 from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Useful defaults in nano-banana-2 — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
nano-banana-2 is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Keeps context tight: nano-banana-2 is the kind of skill you can hand to a new teammate without a long onboarding doc.
nano-banana-2 reduced setup friction for our internal harness; good balance of opinion and flexibility.
I recommend nano-banana-2 for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
nano-banana-2 fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
nano-banana-2 is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Solid pick for teams standardizing on skills: nano-banana-2 is focused, and the summary matches what you get after install.
We added nano-banana-2 from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
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