fal-models-catalog
Choose the right fal.ai endpoint for a given task. Modality-organized catalog of production endpoint defaults, text-to-image, image-to-image, text-to-video, image-to-video, and more. Use when the user has not named a specific model, or asks "which model for X", "best endpoint for Y", "what should I use for Z".
What this skill does
# fal.ai Models Catalog Endpoint-first navigation for fal.ai production work. Each modality reference lists curated picks organized by use case (premium realism / fast & cheap / 4K / specialized). Before reaching for free-text search, consult the modality reference that matches the task. > **Runtime:** All endpoint calls run via the [genmedia CLI](https://github.com/fal-ai-community/genmedia-cli). See the `genmedia` skill for command syntax; run `genmedia init` once if not yet installed. ## Endpoint-first rule 1. Pick the endpoint ID from the right modality reference. 2. Verify it: `genmedia models --endpoint_id <endpoint_id> --json`. 3. Inspect it: `genmedia schema <endpoint_id> --json`. 4. Check cost when relevant: `genmedia pricing <endpoint_id> --json`. 5. Use text search only if the routed endpoint is missing, deprecated, rejected, or the role is not covered here: ```bash genmedia models "<task description>" --json genmedia docs "<topic>" --json ``` Do not invent endpoint IDs. ## Modality references Load the reference matching the user's task: - [text-to-image.md](references/text-to-image.md), image generation from prompt (text-heavy, premium still, fast draft) - [image-to-image.md](references/image-to-image.md), image editing, inpainting, background removal, upscaling - [text-to-video.md](references/text-to-video.md), video generation from prompt (highest quality, fast/economical, multi-shot storytelling) - [image-to-video.md](references/image-to-video.md), video from a reference frame (including audio-driven and lip-sync variants) - [video-to-video.md](references/video-to-video.md), video edit, restyle, upscale, background removal - [text-to-3d.md](references/text-to-3d.md), 3D model generation from text - [image-to-3d.md](references/image-to-3d.md), 3D model generation from reference images - [text-to-audio.md](references/text-to-audio.md). TTS, music, SFX generation - [audio-to-text.md](references/audio-to-text.md), speech-to-text (Whisper, ElevenLabs Scribe with diarization) - [image-to-text.md](references/image-to-text.md). OCR, captioning, VQA, detection, segmentation ## Utility endpoints Workflow utility endpoint IDs (resize, composite, mask, audio merge, subtitle, etc.) live in the `fal-workflow` skill: [fal-workflow/references/utility-endpoints.md](../fal-workflow/references/utility-endpoints.md). Utility endpoints are explicit because they are deterministic tools, not creative model choices. Always inspect schema before 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.