From nano-banana-2
Generate images using nano-banana-2 MCP tools with best-practice prompting. Use this skill when the user asks to create, generate, or edit images.
How this skill is triggered — by the user, by Claude, or both
Slash command
/nano-banana-2:generate-imageThis skill is limited to the following tools:
The summary Claude sees in its skill listing — used to decide when to auto-load this skill
Use the `generate_image`, `edit_image`, and `continue_editing` MCP tools from the `nano-banana-2` server.
Use the generate_image, edit_image, and continue_editing MCP tools from the nano-banana-2 server.
Before generating images, verify the API key is configured:
get_configuration_status to check if GEMINI_API_KEY is set..claude/settings.json, add GEMINI_API_KEY to the server's env block.Write narrative paragraphs, NOT comma-separated keyword lists. Narrative prompts achieve ~94% coherence vs ~61% for keyword lists.
"1K" — good balance of quality and speed. Use "2K" or "4K" for print or detail-heavy images."1:1" — change to "16:9" for landscapes/banners, "9:16" for mobile/portrait."minimal" — use "high" for complex scenes with spatial relationships or text rendering.false in Claude Code to avoid context window overflow. The image is still saved to disk and can be viewed by the user."image/png" for quality, "image/jpeg" for smaller files.1 — use 2-4 when exploring variations.generate_image with a well-crafted narrative prompt.continue_editing to make adjustments. Be specific about what to change.continue_editing call builds on the previous result.thinking: "high" for complex layouts.When generating images in Claude Code, set returnInlineImage: false to prevent base64 image data from filling the context window. The image is still saved to disk — just tell the user where to find it.
npx claudepluginhub daveremy/nano-banana-2-mcpGenerates images, icons, diagrams, patterns, storyboards; edits and restores photos using Nano Banana MCP server with Gemini models. Auto-activates on image requests.
Generates or edits images via Google Gemini from text prompts or up to 14 reference images for text-to-image and multi-image editing.
Generates AI images from text prompts, edits images, and composes from multiple references using Gemini models. Supports t2i, i2i, product mockups, and stickers.