Use when user asks to search the web, look something up online, find current/recent/latest information, or needs cited answers. Triggers on "search", "look up", "find out about", "what is the current/latest", image searches, news lookups. NOT for searching code/files—only for web/internet searches.

Core ML, Create ML, Vision framework, Natural Language framework, on-device ML integration. Use when user wants image classification, text analysis, object detection, sound classification, model optimization, or custom model integration. Covers Core ML vs Foundation Models decision.

Develop causal diagrams (DAGs) from social-science research questions and literature, then render publication-ready figures using Mermaid, R, or Python.

Generate depth maps from images using each::sense AI. Create depth estimation for 3D effects, parallax animations, VR/AR applications, focus effects, and stereo image generation.

Generate or edit images using AI models (FLUX, Nano Banana 2). Use for general-purpose image generation including photos, illustrations, artwork, visual assets, concept art, and any image that is not a technical diagram or schematic. For flowcharts, circuits, pathways, and technical diagrams, use the scientific-schematics skill instead.

Generate or edit images using AI models (FLUX, Nano Banana 2). Use for general-purpose image generation including photos, illustrations, artwork, visual assets, concept art, and any image that is not a technical diagram or schematic. For flowcharts, circuits, pathways, and technical diagrams, use the scientific-schematics skill instead.

This skill helps users automatically extract structured image data from Google Images via BrowserAct API. Agent should proactively apply this skill when users express needs like finding images for specific keywords, gathering product style images for competitors, building visual datasets at scale, scanning visual search results for market research, tracking localized image trends by country, compiling related image thumbnails and links, extracting image titles and source logos, fetching click through URLs from image results, monitoring competitor visual assets, sourcing creative content for specific topics, looking up product pictures in different regions, collecting structured image metadata without opening detail pages.

Rewrite AI-generated developer text to sound human — fix inflated language, filler, tautological docs, and robotic tone. Use after review-ai-writing identifies issues.

Upscale images using each::sense AI. Enhance resolution for web, print, large format displays, with options for face enhancement, noise reduction, and AI art optimization.

Generate music videos using each::sense AI. Create visualizers, lyric videos, animated music videos, concert visuals, and genre-specific aesthetics synchronized to audio.

Convert PDF to clean Markdown with image content described as text. Use when user wants to convert a PDF to markdown, extract content from PDF, or prepare PDF content for AI tools.

Colorize black and white photos using each::sense AI. Bring old family portraits, historical images, vintage photographs, and archival footage to life with intelligent, context-aware colorization.

Use this skill when understanding how PixiJS v8 renders frames: the systems-and-pipes renderer, the render loop, and how the library adapts to different environments. Covers WebGLRenderer/WebGPURenderer/CanvasRenderer selection, renderer.render() pipeline, environment detection, and pointers to per-topic deep dives. Triggers on: renderer, WebGL, WebGPU, Canvas, render loop, render pipeline, systems, environments, autoDetectRenderer.

Use when you need to display a considerable amount of markdown content, or the user asks to display markdown in a browser, preview markdown files, or render markdown with styling. Trigger on requests like "show this markdown", "preview markdown", "display markdown in browser", "open markdown in browser", or any task requiring visual markdown rendering.

Transform photos into stunning artistic styles using each::sense AI. Apply Van Gogh, Picasso, anime, watercolor, oil painting, and more to any image.

Make outbound phone calls via Twilio's Programmable Voice REST API. Covers the full voice platform: calls.create(), answering machine detection (AMD), conference-based agent bridging, call recording, status tracking, and SIP Trunking. Use this skill for outbound calls, sales dialers, or when asking what voice APIs are available.

Build voice call logic using TwiML (Twilio Markup Language). Covers the core verbs (Say, Play, Gather, Dial, Record, Conference), generating TwiML with Python and Node.js SDKs, and a complete inbound call IVR example. Use this skill to define call behavior for inbound or outbound calls.

Remove, replace, or modify video backgrounds using each::sense AI. Create transparent backgrounds, virtual offices, green screen effects without green screens, blur effects, and professional video compositing.

Apply professional color grading and correction to videos using each::sense AI. Create cinematic looks, film emulations, color corrections, and stylized grades for any video content.

Extract highlights, best moments, and key clips from long videos using each::sense AI. Perfect for gaming highlights, sports clips, podcast moments, webinar summaries, meeting recaps, and auto-trailer generation.

Localize and dub videos using each::sense AI. Translate audio, generate subtitles, clone voices, and create lip-synced multilingual versions of your video content.

Reduce noise and grain from videos using each::sense AI. Denoise low light footage, remove high ISO grain, enhance security camera video, restore old footage, and improve webcam quality.

Adjust video speed using each::sense AI. Create slow motion, time-lapse, hyperlapse, speed ramps, reverse effects, and cinematic slow-mo with frame interpolation for smooth playback.

Stabilize shaky video footage using each::sense AI. Remove camera shake from handheld footage, action cameras, drones, and more with intelligent motion correction.

Fetch transcripts, metadata, and captions from YouTube videos. Use when you need to summarize a video, answer questions about its content, extract key points, compare videos, or pull quotes with timestamps. Supports auto-generated and manual captions, multiple languages, and translation.

This skill helps users extract structured video list data and comment data from YouTube using the BrowserAct API. The Agent should proactively apply this skill when users request searching for YouTube videos and their comments, analyzing viewer sentiment for a specific video topic, gathering audience feedback on AI or automation, extracting a list of top videos and their viewer reactions, compiling YouTube video data along with user opinions, retrieving competitor video titles and related audience discussions, monitoring public response to specific YouTube search keywords, summarizing comments from search results for market research, tracking viewer engagement metrics and replies for trending topics, collecting YouTube video URLs and author details alongside community discussions, or automating the extraction of YouTube comments without manual scraping.

Download and process YouTube content for research. Use when: downloading competitor videos for analysis; extracting audio for podcasts; getting transcripts for content repurposing; archiving webinars; research content curation

Generate professional product photography using each::sense API for e-commerce, marketing, and catalog imagery

Run 250+ AI apps via inference.sh CLI - image generation, video creation, LLMs, search, 3D, Twitter automation. Models: FLUX, Veo, Gemini, Grok, Claude, Seedance, OmniHuman, Tavily, Exa, OpenRouter, and many more. Use when running AI apps, generating images/videos, calling LLMs, web search, or automating Twitter. Triggers: inference.sh, infsh, ai model, run ai, serverless ai, ai api, flux, veo, claude api, image generation, video generation, openrouter, tavily, exa search, twitter api, grok

Run 250+ AI apps via inference.sh CLI - image generation, video creation, LLMs, search, 3D, Twitter automation. Models: FLUX, Veo, Gemini, Grok, Claude, Seedance, OmniHuman, Tavily, Exa, OpenRouter, and many more. Use when running AI apps, generating images/videos, calling LLMs, web search, or automating Twitter. Triggers: inference.sh, infsh, ai model, run ai, serverless ai, ai api, flux, veo, claude api, image generation, video generation, openrouter, tavily, exa search, twitter api, grok

Run 250+ AI apps via inference.sh CLI - image generation, video creation, LLMs, search, 3D, Twitter automation. Models: FLUX, Veo, Gemini, Grok, Claude, Seedance, OmniHuman, Tavily, Exa, OpenRouter, and many more. Use when running AI apps, generating images/videos, calling LLMs, web search, or automating Twitter. Triggers: inference.sh, infsh, ai model, run ai, serverless ai, ai api, flux, veo, claude api, image generation, video generation, openrouter, tavily, exa search, twitter api, grok

Run 250+ AI apps via inference.sh CLI - image generation, video creation, LLMs, search, 3D, Twitter automation. Models: FLUX, Veo, Gemini, Grok, Claude, Seedance, OmniHuman, Tavily, Exa, OpenRouter, and many more. Use when running AI apps, generating images/videos, calling LLMs, web search, or automating Twitter. Triggers: inference.sh, infsh, ai model, run ai, serverless ai, ai api, flux, veo, claude api, image generation, video generation, openrouter, tavily, exa search, twitter api, grok

AI voice agent for video rooms — dispatch an AI participant that listens, thinks, and speaks in real-time meetings via LiveKit. Supports configurable personas (note-taker, strategist, interviewer, tutor). Use this skill when the user says "add AI agent to room", "ai voice participant", "setup voice agent", "add ai to meeting", or "setup ai-voice-room".

Use when generating expressive portrait videos from a person image and speech audio with Alibaba Cloud Model Studio EMO (`emo-v1`). Use when creating non-Wan avatar clips with stronger expression style control from a detected portrait image.

Use when generating template-driven emoji videos with Alibaba Cloud Model Studio Emoji (`emoji-v1`) from a detected portrait image. Use when producing fixed-style meme or emoji motion clips from a single face image and a selected template ID.

Use when generating talking, singing, or presentation videos from a single character image and audio with Alibaba Cloud Model Studio digital-human model `wan2.2-s2v`. Use when creating narrated avatar videos, singing portraits, or broadcast-style talking-head clips.

Use when generating reference-based videos with Alibaba Cloud Model Studio Wan R2V models (wan2.6-r2v-flash, wan2.6-r2v). Use when creating multi-shot videos from reference video/image material, preserving character style, or documenting reference-to-video request/response flows.

Audit and rewrite content to remove AI writing patterns ("AI-isms"). Supports detect-only audits, edit-in-place file cleanup, voice and context profiles, and an iterate-to-convergence pass.

Transform thought dumps into polished cardiology content in Eric Topol's Ground Truths voice. Use when the user wants to write cardiology articles, newsletters, video scripts, or educational content from scattered ideas, clinical observations, or research notes—combining Eric Topol's evidence-based clarity with Peter Attia's deep-dive rigor.

Creates a complete EC2 Image Builder pipeline that builds a custom AMI with pre-installed software, distributes it to target regions, executes the pipeline, and creates a launch template. Use when setting up automated AMI creation with IAM roles, build components, image recipes, and infrastructure configuration.

Generate 2D pixel art game assets, characters, sprite sheets, background removal, and game backgrounds. Trigger for "pixel art character", "sprite sheet", "walk cycle", "game sprites", "isometric sprites", "side-scroller assets", "RPG character sprites", "idle animation", "attack animation", "jump animation", "game background", "parallax background", "isometric map", "2D game art", "pixel art animation". Covers character generation (nano-banana-pro / gpt-image-2), sprite sheet animation (nano/edit or gpt-image-2/edit), background removal (Bria), and background generation (parallax layers or isometric map).

Provides guidance on writing in the voice of Hunter S. Thompson for essays, columns, letters, dispatches, or short-form political commentary. Use when the user asks for writing in the style of Hunter S. Thompson, HST or gonzo journalism.

Rewrite AI-generated text to sound natural and human-written. Removes LLM tells — cliché phrases, predictable structure, inflated language, and robotic patterns. Use when editing drafts, emails, articles, or any text that reads like it was written by AI.

Generates an image loading pipeline with memory/disk caching, deduplication, and a CachedAsyncImage SwiftUI view. Use when user wants image caching, lazy image loading, or a replacement for AsyncImage.

Extend and expand images beyond their original boundaries using each::sense AI. Create panoramic views, convert aspect ratios, add backgrounds, and uncrop photos intelligently.

Relight photos and images using each::sense AI. Transform lighting conditions, add studio lighting, golden hour effects, dramatic shadows, neon glows, and match lighting to any environment.

Run 250+ AI apps via inference.sh CLI - image generation, video creation, LLMs, search, 3D, Twitter automation. Models: FLUX, Veo, Gemini, Grok, Claude, Seedance, OmniHuman, Tavily, Exa, OpenRouter, and many more. Use when running AI apps, generating images/videos, calling LLMs, web search, or automating Twitter. Triggers: inference.sh, infsh, ai model, run ai, serverless ai, ai api, flux, veo, claude api, image generation, video generation, openrouter, tavily, exa search, twitter api, grok

Run 250+ AI apps via inference.sh CLI - image generation, video creation, LLMs, search, 3D, Twitter automation. Models: FLUX, Veo, Gemini, Grok, Claude, Seedance, OmniHuman, Tavily, Exa, OpenRouter, and many more. Use when running AI apps, generating images/videos, calling LLMs, web search, or automating Twitter. Triggers: inference.sh, infsh, ai model, run ai, serverless ai, ai api, flux, veo, claude api, image generation, video generation, openrouter, tavily, exa search, twitter api, grok

Run 250+ AI apps via inference.sh CLI - image generation, video creation, LLMs, search, 3D, Twitter automation. Models: FLUX, Veo, Gemini, Grok, Claude, Seedance, OmniHuman, Tavily, Exa, OpenRouter, and many more. Use when running AI apps, generating images/videos, calling LLMs, web search, or automating Twitter. Triggers: inference.sh, infsh, ai model, run ai, serverless ai, ai api, flux, veo, claude api, image generation, video generation, openrouter, tavily, exa search, twitter api, grok

Run 250+ AI apps via inference.sh CLI - image generation, video creation, LLMs, search, 3D, Twitter automation. Models: FLUX, Veo, Gemini, Grok, Claude, Seedance, OmniHuman, Tavily, Exa, OpenRouter, and many more. Use when running AI apps, generating images/videos, calling LLMs, web search, or automating Twitter. Triggers: inference.sh, infsh, ai model, run ai, serverless ai, ai api, flux, veo, claude api, image generation, video generation, openrouter, tavily, exa search, twitter api, grok

Use when user wants to generate music, songs, or audio tracks. Triggers on any request involving music creation, song writing, lyrics generation, audio production, or covers. Also triggers when user provides lyrics and wants them turned into a song, or describes a mood/scene and wants background music. Supports multilingual triggers — match equivalent phrases in any language. Do NOT use for music playback of existing files, music theory questions, or music recommendation without generation.

Turn a long video into N viral-ready short clips with a single managed API call. Wraps muapi.ai's `/ai-clipping` endpoint, which handles transcription, highlight ranking through a virality framework (hook / emotional peak / opinion bomb / revelation / conflict / quotable / story peak / practical value), overlap dedupe, and vertical face-tracking auto-crop server-side. No local Whisper, no local LLM, no GPU.

Investigate Kubernetes workload, node, and control-plane issues using OTel telemetry (EDOT). Use when diagnosing pod failures (CrashLoopBackOff, OOMKilled, Error), node pressure, resource exhaustion, image pull failures, admission rejections, autoscaling anomalies, or correlating K8s state with application signals. OTel ingest path only — the legacy ECS Kubernetes integration shape is out of scope.

Restore and enhance old, damaged, or degraded photos using each::sense AI. Fix scratches, tears, fading, water damage, colorize black and white photos, and restore faces in historical images.

Expert skill for implementing text-to-speech with Kokoro TTS. Covers voice synthesis, audio generation, performance optimization, and secure handling of generated audio for JARVIS voice assistant.

Video understanding for any model — native passthrough for small files, frame extraction + audio transcription fallback for large files. Use when the user asks to analyze, describe, or understand a video file (e.g. "what's in this video", "summarize this clip", "transcribe this recording").

Expert skill for implementing wake word detection with openWakeWord. Covers audio monitoring, keyword spotting, privacy protection, and efficient always-listening systems for JARVIS voice assistant.

Generates a watermark overlay system for images and video with configurable positioning, opacity, tiling, and paywall integration for automatic removal on subscription or purchase. Use when user wants to add branding, attribution, or free-tier watermarks to visual content.

Transcribe audio and video files to text using OpenAI Whisper. Use when: converting podcasts to blog posts; creating video subtitles; extracting quotes from interviews; repurposing video content to text; building searchable audio archives

This skill helps users automatically extract YouTube video transcripts and metadata in batch via the BrowserAct API. The Agent should proactively apply this skill when users express needs like batch extract full transcripts from YouTube videos for specific keywords, scrape YouTube subtitles for a list of videos, get batch video metadata and likes counts for analysis, automate YouTube search and subtitle extraction, collect multiple video transcripts published this week, download bulk YouTube video subtitles without writing crawler scripts, build a dataset of transcripts from top YouTube videos, extract YouTube video URLs and publisher info in batch, gather full video content for AI summarization pipelines, monitor recent YouTube videos and extract their transcripts, batch retrieve structured subtitle data for media research, extract transcripts from trending YouTube content automatically.

This skill helps users automatically extract structured data from YouTube search results using the BrowserAct API. The Agent should proactively apply this skill when users express needs like searching for YouTube videos by keywords, finding the latest YouTube Shorts for a specific topic, gathering YouTube channel data for competitor analysis, monitoring trending YouTube playlists, extracting YouTube search results for market research, tracking view counts for specific YouTube keywords, compiling a list of YouTube videos on a subject, discovering new YouTube content creators in a niche, searching YouTube for tutorial videos automatically, and retrieving structured YouTube search data without opening video pages.

This skill helps users automatically extract channel-level and video detail data from a specific YouTube channel via BrowserAct API. Agent should proactively apply this skill when users express needs like extracting channel video data, getting latest or popular videos from a YouTube channel, tracking competitor channel content, extracting video metrics such as views likes comments, retrieving subscriber count and channel info, monitoring posting cadence of a YouTube channel, gathering video data for content strategy analysis, getting earliest videos of a YouTube creator, analyzing engagement signals across a full channel, and downloading structured YouTube video details without manual scraping.

Generate adult video content using each::sense API with safety checker disabled

Apply consistent photo adjustments across a set of images so they look like they were edited together. Use this skill whenever the user says "make my photos look cohesive", "give all these the same style", "apply a warm and golden feel to all of these", "make this cinematic", "match the look across my photos", "edit all my travel photos the same way", "batch edit these", "make these consistent", "fix my phone photos", or uploads a folder of photos and wants a unified, polished result. Also triggers for requests like "apply a preset to all of these", "make these look professional", or "they were shot in mixed lighting — can you fix them all". Outputs direct final image URLs plus an in-chat preview grid and optional Firefly Board link. Access: 🔐 Signed-In required | Gen AI: ❌

Run 150+ AI apps via inference.sh CLI - image generation, video creation, LLMs, search, 3D, Twitter automation. Models: FLUX, Veo, Gemini, Grok, Claude, Seedance, OmniHuman, Tavily, Exa, OpenRouter, and many more. Use when running AI apps, generating images/videos, calling LLMs, web search, or automating Twitter. Triggers: inference.sh, infsh, ai model, run ai, serverless ai, ai api, flux, veo, claude api, image generation, video generation, openrouter, tavily, exa search, twitter api, grok

Use when multimodal embeddings are needed from Alibaba Cloud Model Studio models such as `qwen3-vl-embedding` for image, video, and text retrieval, cross-modal search, clustering, or offline vectorization pipelines.

Use when replacing lip sync in existing videos with Alibaba Cloud Model Studio VideoRetalk (`videoretalk`). Use when creating dubbed videos, replacing narration, or synchronizing a talking-head video to a new speech track.

Visual layer of the wiki. Add images, text cards, PDFs, and wiki pages to Obsidian canvas files with auto-positioning inside zones. Integrates with /banana for image capture. Triggers on: /canvas, canvas new, canvas add image, canvas add text, canvas add pdf, canvas add note, canvas zone, canvas list, canvas from banana, add to canvas, put this on the canvas, open canvas, create canvas.

Convert local image files from common raster formats into JPG while setting a target DPI (default 96). Use when Codex needs to convert a file or folder of images such as HEIC, HEIF, PNG, TIFF, WebP, BMP, GIF, AVIF, or JPEG into `.jpg` for upload, OCR, archiving, or tools that require JPEG output.

Convert Mermaid diagrams and Markdown tables to images (PNG) for platforms that don't support rich formatting. Use when user asks to "convert to image", "export as PNG", "make this an image", or has content for X/Twitter that needs visual exports.

Generate and edit images using Google's Gemini API. Supports text-to-image, image editing, multi-turn refinement, and composition from multiple reference images.

Remove visible Gemini image watermarks from local image files by calling the project's CLI. Use when the user wants an agent to clean one or more local Gemini-generated images and save de-watermarked output files.

Optimizes images for web performance by converting to modern formats, compressing, and generating responsive sizes. Use when user asks to "optimize images", "compress images", "convert to webp", or mentions image performance.

Transform static images into dynamic videos using each::sense AI. Create animations, Ken Burns effects, cinemagraphs, product showcases, and motion graphics from still photos.

Complete Kortix sandbox system reference. Covers: container image, s6 services, filesystem layout, persistence model, environment variables, secrets management (API for setting/getting/deleting env vars), ports, runtimes, init scripts, cloud mode, desktop environment, deployments (deploy apps to live *.style.dev URLs), cron triggers (scheduled agent execution), semantic search (lss), session search & management (API + on-disk queries), skill creation guide, and all installed tooling. Load this skill when you need to: understand the sandbox, debug services, configure the environment, set API keys/secrets, deploy web apps/APIs/static sites, schedule cron jobs, search files semantically, query session data, or create new skills.

Kubernetes features from v1.33-1.35 including In-Place Pod Resize GA, Dynamic Resource Allocation GA, MutatingAdmissionPolicy, Pod-Level Resources, Image Volumes, Gateway API v1.3-1.4, and key deprecations. Use when writing Kubernetes manifests, Helm charts, or controller code targeting recent cluster versions.

Guides audio mastering for streaming platforms including loudness optimization and tonal balance. Use when the user has approved tracks and wants to master audio files.

Build, run, and visualize multi-step AI generation workflows. The AI architect translates natural language descriptions into connected node graphs — chain image generation, video creation, enhancement, and editing into automated pipelines.

Enables interaction with Google NotebookLM for advanced RAG (Retrieval-Augmented Generation) capabilities via the notebooklm-mcp-cli tool. Use when querying project documentation stored in NotebookLM, managing research notebooks and sources, retrieving AI-synthesized information, generating audio podcasts or reports from notebooks, or performing contextual queries against curated knowledge bases. Triggers on "notebooklm", "nlm", "notebook query", "research notebook", "query documentation in notebooklm".

Open Source Computer Vision Library (OpenCV) for real-time image processing, video analysis, object detection, face recognition, and camera calibration. Use when working with images, videos, cameras, edge detection, contours, feature detection, image transformations, object tracking, optical flow, or any computer vision task.

API reference: PhotosUI. Query for PhotosPicker, PHLivePhotoView, photo selection.

Clean architecture patterns for JUCE plugins including separation of concerns, APVTS patterns, state management, preset systems, MIDI handling, and modulation routing. Use when designing plugin architecture, refactoring code structure, implementing parameter systems, building preset managers, or scaling complex audio plugins.

Comprehensive best practices for robot perception systems covering cameras, LiDARs, depth sensors, IMUs, and multi-sensor setups. Use this skill when working with RGB image processing, depth maps, point clouds, sensor calibration (intrinsic, extrinsic, hand-eye), object detection, semantic segmentation, 3D reconstruction, visual servoing, or perception pipeline optimization. Trigger whenever the user mentions OpenCV, Open3D, PCL, RealSense, ZED, OAK-D, camera calibration, AprilTags, ArUco markers, stereo vision, RGBD, point cloud filtering, ICP registration, coordinate transforms, camera intrinsics, distortion correction, image undistortion, sensor streaming, frame synchronization, or any computer vision task in a robotics context. Also covers multi-camera rigs, time synchronization across sensors, perception latency budgets, and production deployment of perception pipelines.

Patterns and best practices for integrating ROS2 systems with web technologies including REST APIs, WebSocket bridges, and browser-based robot interfaces. Use this skill when building web dashboards for robots, streaming camera feeds to browsers, exposing ROS2 services as REST endpoints, or implementing bidirectional WebSocket communication between web UIs and ROS2 nodes. Trigger whenever the user mentions rosbridge, rosbridge_suite, roslibjs, FastAPI with ROS2, Flask with rclpy, WebSocket for robot telemetry, MJPEG streaming, WebRTC for robots, REST API wrapping ROS2 services, web-based robot control, browser robot interface, robot dashboard, CORS configuration for robots, or any web-to-ROS2 bridge pattern. Also trigger for authentication on robot web interfaces, rate limiting sensor streams, video streaming from robot cameras to browsers, or running async web frameworks alongside the ROS2 executor. Covers rosbridge_suite, FastAPI, Flask, WebSocket, and WebRTC approaches.

Add real-time voice conversations to a custom agent runtime with ElevenLabs Speech Engine. Use when building Speech Engine servers, WebSocket handlers, WebRTC browser clients, conversation token endpoints, interruption-aware streaming responses, or voice-enabled chat agents that connect developer-owned server logic to ElevenLabs speech-to-text and text-to-speech.

Section-based document editor — documents composed of named, typed sections that render as collapsible React components with inline editing, status badges, and annotation support. Use this skill when the user says "add structured editor", "section editor", "spec editor", "document builder", or "structured document".

Convert text to speech using ElevenLabs voice AI. Use when generating audio from text, creating voiceovers, building voice apps, or synthesizing speech in 70+ languages.

Convert text to speech using ElevenLabs voice AI. Use when generating audio from text, creating voiceovers, building voice apps, or synthesizing speech in 70+ languages.

Real-time and batch speech-to-text via Deepgram — live transcript overlay for video rooms, post-meeting full transcript with search, speaker labels, and Postgres persistence. Use this skill when the user says "add transcription", "setup speech to text", "add captions", "transcribe audio", or "setup transcription".

Configure Twilio accounts for HIPAA compliance. Covers BAA requirements, HIPAA Project designation (self-service and support), eligible services list, per-product requirements (Voice, SMS, ConversationRelay, Conversation Intelligence, Flex, Verify), message redaction, and what is NOT eligible. Use this skill when developers are building healthcare workflows on Twilio.

Build AI-powered voice agents using Twilio ConversationRelay. Handles real-time speech recognition (ASR), text-to-speech (TTS), and bidirectional audio streaming via WebSocket. Covers TwiML setup, WebSocket message types, LLM integration, streaming responses, and voice provider configuration. Use this skill to build voice bots, IVR replacements, or real-time AI voice assistants on Twilio calls.

Generates structured Google Veo 3.1 video prompts by collecting user input for subject, action, style, cinematography, and audio. Guides users through the Universal Prompt Formula to produce camera-ready prompts. Use when creating Veo video prompts or when the user mentions Veo, video generation, or cinematic prompts.

Async video messaging — record screen + camera, upload to MUX, auto-transcribe, AI-summarize, and view in threaded conversations. Use this skill when the user says "add video messages", "setup video messaging", "async video", "video threads", "loom clone", or "video-messaging".

yt-dlp downloads: video, audio, subtitles, transcripts, clips, playlists.

Unified YouTube script creation for cardiology channels in Hinglish. Uses the COMPLETE research-engine pipeline (channel scraping, comment analysis, narrative monitoring, gap finding, view prediction) combined with RAG + PubMed for evidence. Data-driven topic selection, 15-30 min educational videos with 6-point voice check.

Fetch and summarize YouTube video transcripts. Use when asked to summarize, transcribe, or extract content from YouTube videos. Handles transcript fetching via residential IP proxy to bypass YouTube's cloud IP blocks.