Text-to-image generation and image-to-image editing via Google's Gemini 3 Pro Image API.
Works with
Supports both new image generation from text prompts and editing of existing images with instruction-based modifications
Configurable output resolution: 1K (default), 2K, or 4K for high-resolution results
Automatically detects API key from --api-key argument or GEMINI_API_KEY environment variable
Saves PNG output to the user's current working directory with timestamped filenames
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionnano-banana-proExecute the skills CLI command in your project's root directory to begin installation:
Fetches nano-banana-pro 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-pro. Access via /nano-banana-pro 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 ones using Google's Nano Banana Pro API (Gemini 3 Pro Image).
Run the script using absolute path (do NOT cd to skill directory first):
Generate new image:
uv run ~/.claude/skills/nano-banana-pro/scripts/generate_image.py --prompt "your image description" --filename "output-name.png" [--resolution 1K|2K|4K] [--api-key KEY]
Edit existing image:
uv run ~/.claude/skills/nano-banana-pro/scripts/generate_image.py --prompt "editing instructions" --filename "output-name.png" --input-image "path/to/input.png" [--resolution 1K|2K|4K] [--api-key KEY]
Important: Always run from the user's current working directory so images are saved where the user is working, not in the skill directory.
The Gemini 3 Pro Image API supports three resolutions (uppercase K required):
Map user requests to API parameters:
1K1K2K4KThe script checks for API key in this order:
--api-key argument (use if user provided key in chat)GEMINI_API_KEY environment variableIf neither is available, the script exits with an error message.
Generate filenames with the pattern: yyyy-mm-dd-hh-mm-ss-name.png
Format: {timestamp}-{descriptive-name}.png
yyyy-mm-dd-hh-mm-ss (24-hour format)x9k2, a7b3)Examples:
2025-11-23-14-23-05-japanese-garden.png2025-11-23-15-30-12-sunset-mountains.png2025-11-23-16-45-33-robot.png2025-11-23-17-12-48-x9k2.pngWhen the user wants to modify an existing image:
--input-image parameter with the path to the imageFor generation: Pass user's image description as-is to --prompt. Only rework if clearly insufficient.
For editing: Pass editing instructions in --prompt (e.g., "add a rainbow in the sky", "make it look like a watercolor painting")
Preserve user's creative intent in both cases.
Generate new image:
uv run ~/.claude/skills/nano-banana-pro/scripts/generate_image.py --prompt "A serene Japanese garden with cherry blossoms" --filename "2025-11-23-14-23-05-japanese-garden.png" --resolution 4K
Edit existing image:
uv run ~/.claude/skills/nano-banana-pro/scripts/generate_image.py --prompt "make the sky more dramatic with storm clouds" --filename "2025-11-23-14-25-30-dramatic-sky.png" --input-image "original-photo.jpg" --resolution 2K
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
Useful defaults in nano-banana-pro — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
I recommend nano-banana-pro for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
nano-banana-pro is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Registry listing for nano-banana-pro matched our evaluation — installs cleanly and behaves as described in the markdown.
Keeps context tight: nano-banana-pro is the kind of skill you can hand to a new teammate without a long onboarding doc.
Solid pick for teams standardizing on skills: nano-banana-pro is focused, and the summary matches what you get after install.
nano-banana-pro is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
I recommend nano-banana-pro for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
nano-banana-pro reduced setup friction for our internal harness; good balance of opinion and flexibility.
nano-banana-pro is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
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