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.
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Review the instructions the agent will receive before you install.
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.
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Set up and use 1Password CLI (op). Use when installing the CLI, enabling desktop app integration, signing in, and reading/injecting secrets for commands.
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Use this skill when the user requests to review, analyze, critique, or summarize academic papers, research articles, preprints, or scientific publications. Supports comprehensive structured reviews covering methodology assessment, contribution evaluation, literature positioning, and constructive feedback generation. Trigger on queries involving paper URLs, uploaded PDFs, arXiv links, or requests like "review this paper", "analyze this research", "summarize this study", or "write a peer review".
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Add descriptions for new models from the HuggingFace router to chat-ui configuration. Use when new models are released on the router and need descriptions added to prod.yaml and dev.yaml. Triggers on requests like "add new model descriptions", "update models from router", "sync models", or when explicitly invoking /add-model-descriptions.
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Automates browser interactions for web testing, form filling, screenshots, and data extraction. Use when the user needs to navigate websites, interact with web pages, fill forms, take screenshots, test web applications, or extract information from web pages.
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Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems integration. Use when building distributed AI systems, multi-agent coordination, or advanced vector search applications.
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Create and train AI learning plugins with AgentDB's 9 reinforcement learning algorithms. Includes Decision Transformer, Q-Learning, SARSA, Actor-Critic, and more. Use when building self-learning agents, implementing RL, or optimizing agent behavior through experience.
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