fal-vision
Analyze images using AI — segment objects, detect objects, extract text (OCR), describe images, ask questions about images. Use when the user requests "Segment image", "Detect objects", "OCR", "Extract text from image", "Describe image", "What's in this image", "Image analysis".
What this skill does
# fal-vision Analyze and understand images using fal.ai vision models — segmentation, detection, OCR, captioning, and visual QA. ## Scripts | Script | Purpose | |--------|---------| | `analyze.sh` | Analyze an image (segment, detect, OCR, describe, QA) | ## Usage ### Segment Objects ```bash ./scripts/analyze.sh --image-url "https://example.com/photo.jpg" --operation segment --query "the red car" ``` ### Detect Objects ```bash ./scripts/analyze.sh --image-url "https://example.com/photo.jpg" --operation detect ``` ### Extract Text (OCR) ```bash ./scripts/analyze.sh --image-url "https://example.com/document.jpg" --operation ocr ``` ### Describe Image ```bash ./scripts/analyze.sh --image-url "https://example.com/photo.jpg" --operation describe ``` ### Visual QA ```bash ./scripts/analyze.sh --image-url "https://example.com/photo.jpg" --operation qa --query "How many people are in this image?" ``` ## Arguments | Argument | Description | Required | |----------|-------------|----------| | `--image-url` | URL of image to analyze | Yes | | `--operation` | segment, detect, ocr, describe, qa | Yes | | `--query` / `-q` | Text prompt for segment/qa operations | For segment/qa | | `--model` / `-m` | Override model endpoint | No | ## Finding Models To discover the best and latest vision/analysis models, use the search API: ```bash # Search for segmentation models bash /mnt/skills/user/fal-generate/scripts/search-models.sh --query "segmentation" # Search for object detection models bash /mnt/skills/user/fal-generate/scripts/search-models.sh --query "object detection" # Search for OCR models bash /mnt/skills/user/fal-generate/scripts/search-models.sh --query "ocr" # Search for image captioning / visual QA models bash /mnt/skills/user/fal-generate/scripts/search-models.sh --query "caption" bash /mnt/skills/user/fal-generate/scripts/search-models.sh --query "visual question" ``` Or use the `search_models` MCP tool with keywords like "segmentation", "detection", "ocr", "caption", "vision".
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
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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.