imagen
Generates images using Google Gemini's image generation model for frontend UIs, documentation, and visual representations.
What this skill does
# Imagen - AI Image Generation Skill ## Overview This skill generates images using Google Gemini's image generation model (`gemini-3-pro-image-preview`). It enables seamless image creation during any Claude Code session - whether you're building frontend UIs, creating documentation, or need visual representations of concepts. **Cross-Platform**: Works on Windows, macOS, and Linux. ## When to Use This Skill Automatically activate this skill when: - User requests image generation (e.g., "generate an image of...", "create a picture...") - Frontend development requires placeholder or actual images - Documentation needs illustrations or diagrams - Visualizing concepts, architectures, or ideas - Creating icons, logos, or UI assets - Any task where an AI-generated image would be helpful ## How It Works 1. Takes a text prompt describing the desired image 2. Calls Google Gemini API with image generation configuration 3. Saves the generated image to a specified location (defaults to current directory) 4. Returns the file path for use in your project ## Usage ### Python (Cross-Platform - Recommended) ```bash # Basic usage python scripts/generate_image.py "A futuristic city skyline at sunset" # With custom output path python scripts/generate_image.py "A minimalist app icon for a music player" "./assets/icons/music-icon.png" # With custom size python scripts/generate_image.py --size 2K "High resolution landscape" "./wallpaper.png" ``` ## Requirements - `GEMINI_API_KEY` environment variable must be set - Python 3.6+ (uses standard library only, no pip install needed) ## Output Generated images are saved as PNG files. The script returns: - Success: Path to the generated image - Failure: Error message with details ## Examples ### Frontend Development ``` User: "I need a hero image for my landing page - something abstract and tech-focused" -> Generates and saves image, provides path for use in HTML/CSS ``` ### Documentation ``` User: "Create a diagram showing microservices architecture" -> Generates visual representation, ready for README or docs ``` ### UI Assets ``` User: "Generate a placeholder avatar image for the user profile component" -> Creates image in appropriate size for component use ```
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.