nano-banana-prompting
This skill should be used when crafting prompts for Nano Banana Pro (Gemini image generation). Use when users want help writing image generation prompts, need guidance on prompt structure, or want to optimize their prompts for better results.
What this skill does
# Nano Banana Prompting Interactive prompt crafting for Nano Banana Pro image generation. This skill guides users through a structured process to create effective prompts by clarifying intent and applying proven techniques. ## Workflow ### Step 1: Gather Reference Materials Before asking questions, check if the user has provided: - **Reference images** - Photos to use for character consistency, style, or composition - **Existing prompts** - Previous attempts to improve upon - **Visual references** - Screenshots or examples of desired output If reference materials are available, this affects which techniques apply (e.g., Reference Role Assignment, Character Consistency). ### Step 2: Clarify Intent with Questions Use the `AskUserQuestion` tool to understand the user's goal. Ask questions in batches of 2-4, focusing on the most important aspects first. #### Core Questions (always ask) 1. **Output Type** - What kind of image? - Photo/realistic - Illustration/artistic - Infographic/educational - Product shot/commercial - UI mockup/design 2. **Subject** - Who or what is the main focus? - Person (with or without reference) - Object/product - Scene/environment - Concept/abstract #### Technique-Specific Questions (based on answers) **If Photo/Realistic:** - What era or camera style? (modern DSLR, 1990s film, 2000s digital) - Specific lighting? (golden hour, studio, flash) - Aspect ratio needed? (16:9, 9:16, 1:1) **If Reference Images Provided:** - What role for each image? (pose, style, color palette, background) - Should character identity be preserved? - Combine images or use as style reference? **If Text Needed:** - What text should appear? - What font style? (serif, sans-serif, handwritten) - Where should text be placed? **If Educational/Infographic:** - What concept to explain? - Target audience level? - Should it include labels, arrows, flow? ### Step 3: Determine Prompt Style Based on user responses, select the appropriate prompt format from `references/guide.md`: | User Need | Recommended Style | |-----------|-------------------| | Simple, quick generation | Narrative Prompt (Technique 1) | | Precise control over details | Structured Prompt (Technique 2) | | Era-specific aesthetic | Vibe Library + Photography Terms (Techniques 3-4) | | Magazine/poster with text | Physical Object Framing (Technique 5) | | Conceptual/interpretive | Perspective Framing (Technique 6) | | Diagram/infographic | Educational Imagery (Technique 7) | | Editing existing image | Image Transformation (Technique 8) | | Multiple views/panels | Multi-Panel Output (Technique 9) | | Multiple reference images | Reference Role Assignment (Technique 12) | ### Step 4: Generate the Prompt Construct the prompt by: 1. **Loading `references/guide.md`** to access technique details 2. **Applying relevant techniques** based on Step 3 selection 3. **Cross-checking** against guide examples for proper formatting 4. **Including negative prompts** if needed (Technique 10) 5. **Specifying aspect ratio/resolution** if required (Technique 11) #### Prompt Construction Checklist - [ ] Subject clearly defined - [ ] Action/pose specified (if applicable) - [ ] Location/background described - [ ] Style/aesthetic anchored - [ ] Technical specs included (aspect ratio, lighting, camera) - [ ] Text integration specified (if needed) - [ ] Negative prompts added (if needed) - [ ] Reference image roles assigned (if using references) ### Step 5: Present and Iterate Present the generated prompt to the user with: 1. **The prompt** - Ready to use 2. **Technique explanation** - Why this structure was chosen 3. **Variation suggestions** - Alternative approaches to try Offer to refine based on feedback. ### Step 6: Generate the Image After the user is satisfied with the prompt, recommend using the **nano-banana** skill to generate the actual image. Inform the user: > "Your prompt is ready! Would you like me to generate the image now? I can use the nano-banana skill to create it." If the user agrees, invoke the `nano-banana` skill with the crafted prompt. ## Quick Reference: Technique Selection ``` User wants... → Use Technique... ───────────────────────────────────────────────────── Simple description → 1 (Narrative) Detailed control → 2 (Structured YAML/JSON) Specific era look → 3 (Vibe Library) Professional photo style → 4 (Photography Terms) Magazine/poster → 5 (Physical Object Framing) "How X sees Y" → 6 (Perspective Framing) Educational diagram → 7 (Educational Imagery) Edit existing image → 8 (Image Transformation) Multiple panels in one → 9 (Multi-Panel) Exclude something → 10 (Negative Prompts) Specific dimensions → 11 (Aspect Ratio) Multiple reference images → 12 (Reference Roles) Same character across images → 13 (Character Consistency) Merge multiple images → 14 (Image Blending) Enhance/restore image → 15 (Upscaling) Translate text in image → 16 (Translation) ``` ## Resources ### references/ - `guide.md` - Complete prompting guide with 16 techniques, examples, and patterns. Load this file when constructing prompts to access specific technique details and examples.
Related in Image & Video
watch
IncludedWatch a video (URL or local path). Downloads with yt-dlp, extracts auto-scaled frames with ffmpeg, pulls the transcript from captions (or Whisper API fallback), and hands the result to Claude so it can answer questions about what's in the video.
physical-ai-defect-image-generation
IncludedUse when the user wants to orchestrate defect image generation, run associated setup, or handle outputs on OSMO. The Day 0 path handles cold-start with USD-to-ROI, image-edit augmentation, and AnomalyGen to create initial PCBA datasets. The Day 1 path performs inference and labeling on real images. This skill helps with first-time asset setup, creation of finetuning checkpoints, and configuring deployment. Trigger keywords: defect image generation, dig workflow, dig pipeline, defect image detection workflow, aoi pipeline, aoi anomalygen, usd2roi anomalygen, day 0 pcba, day 1 pcba, day 1 real-photo alignment, day 1 manual roi, metal surface anomaly, glass defect, anomalygen finetune, setup_pcb, setup_metal, setup_glass, setup_pretrained, dig setup, dig datasets, dig pretrained checkpoint, dig image-edit endpoint.
accelint-react-best-practices
IncludedReact performance optimization and best practices. ALWAYS use this skill when working with any React code - writing components, hooks, JSX; refactoring; optimizing re-renders, memoization, state management; reviewing for performance; fixing hydration mismatches; debugging infinite re-renders, stale closures, input focus loss, animations restarting; preventing remounting; implementing transitions, lazy initialization, effect dependencies. Even simple React tasks benefit from these patterns. Covers React 19+ (useEffectEvent, Activity, ref props). Triggers - useEffect, useState, useMemo, useCallback, memo, inline components, nested components, components inside components, re-render, performance, hydration, SSR, Next.js, useDeferredValue, combined hooks.
elevenlabs-agents
IncludedBuild conversational AI voice agents with ElevenLabs Platform using React, JavaScript, React Native, or Swift SDKs. Configure agents, tools (client/server/MCP), RAG knowledge bases, multi-voice, and Scribe real-time STT. Use when: building voice chat interfaces, implementing AI phone agents with Twilio, configuring agent workflows or tools, adding RAG knowledge bases, testing with CLI "agents as code", or troubleshooting deprecated @11labs packages, Android audio cutoff, CSP violations, dynamic variables, or WebRTC config. Keywords: ElevenLabs Agents, ElevenLabs voice agents, AI voice agents, conversational AI, @elevenlabs/react, @elevenlabs/client, @elevenlabs/react-native, @elevenlabs/elevenlabs-js, @elevenlabs/agents-cli, elevenlabs SDK, voice AI, TTS, text-to-speech, ASR, speech recognition, turn-taking model, WebRTC voice, WebSocket voice, ElevenLabs conversation, agent system prompt, agent tools, agent knowledge base, RAG voice agents, multi-voice agents, pronunciation dictionary, voice speed control, elevenlabs scribe, @11labs deprecated, Android audio cutoff, CSP violation elevenlabs, dynamic variables elevenlabs, case-sensitive tool names, webhook authentication
humanizer
IncludedHumanize AI-generated text by detecting and removing patterns typical of LLM output. Rewrites text to sound natural, specific, and human. Uses 28 pattern detectors, 560+ AI vocabulary terms across 3 tiers, and statistical analysis (burstiness, type-token ratio, readability) for comprehensive detection. Use when asked to humanize text, de-AI writing, make content sound more natural/human, review writing for AI patterns, score text for AI detection, or improve AI-generated drafts. Covers content, language, style, communication, and filler categories.
generating-mermaid-diagrams
IncludedSalesforce architecture diagrams using Mermaid with ASCII fallback. Use this skill when generating text-based diagrams for Salesforce architecture, OAuth flows, ERDs, integration sequences, or Agentforce structure. TRIGGER when: user says "diagram", "visualize", "ERD", or asks for sequence diagrams, flowcharts, class diagrams, or architecture visualizations in Mermaid. DO NOT TRIGGER when: user wants PNG/SVG image output (use generating-visual-diagrams), or asks about non-Salesforce systems.