Comprende el contenido de un vídeo localmente utilizando extracción de fotogramas con ffmpeg y transcripción con Whisper. No se necesitan claves API.
Esta habilidad permite a un agente de IA analizar el contenido de un archivo de vídeo de manera completamente local, sin necesidad de conectarse a servicios externos ni utilizar claves API. Utiliza herramientas de código abierto y ampliamente disponibles como ffmpeg para extraer fotogramas clave del vídeo, y Whisper para transcribir el audio a texto. La combinación de ambos procesos permite obtener una comprensión multimodal del vídeo: el texto transcrito proporciona el contenido narrativo y de diálogo, mientras que los fotogramas clave ofrecen una representación visual de las escenas más importantes. Esto es especialmente útil para desarrolladores y usuarios de agentes de IA que trabajan en plataformas como Claude Code, Cursor o Codex y necesitan analizar vídeos sin depender de servicios en la nube, garantizando la privacidad de los datos y funcionando en entornos offline o con recursos limitados. La habilidad automatiza el proceso de descripción del contenido del vídeo, resumiendo tanto la transcripción del audio como las observaciones visuales extraídas de los fotogramas.
npx skills add https://github.com/heygen-com/skills/tree/main/skills/video-understandInstalled? Explore more Investigación y análisis de datos skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
Comprende el contenido de un vídeo localmente utilizando extracción de fotogramas con ffmpeg y transcripción con Whisper. No se necesitan claves API. Úsalo cuando: (1) Necesites entender qué contiene un vídeo, (2) Transcibir el audio de un vídeo de forma local, (3) Extraer fotogramas clave para un análisis visual, (4) Obtener el contenido de un vídeo sin utilizar claves API.
This repo contains 9 individual skills — each has its own dedicated page.
Generate AI videos from text prompts using the HeyGen API. Use when: (1) Generating videos from text descriptions, (2) Creating AI-generated video clips for content production, (3) Image-to-video generation with a reference image, (4) Choosing between video generation providers (VEO, Kling, Sora, Runway, Seedance), (5) Working with HeyGen's /v1/workflows/executions endpoint for video generation.
Create AI avatar videos with precise control over avatars, voices, scripts, and backgrounds using HeyGen's v3 API (POST /v3/videos). Two modes: type="avatar" with avatar_id, or type="image" with an image AssetInput (Avatar IV). Use when: (1) Choosing a specific avatar and voice for a video, (2) Writing exact scripts for an avatar to speak, (3) Animating a photo into a speaking video (type="image"), (4) Transparent background videos with remove_background, (5) Integrating HeyGen avatars with Remotion, (6) Batch video generation with exact specs, (7) Brand-consistent production videos with precise control.
Create videos from a text prompt using HeyGen's Video Agent (POST /v3/video-agents). The default for most video requests — AI handles script, avatar, visuals, voiceover, and captions automatically. Use when: (1) Creating a video from a description or idea, (2) Generating explainer, demo, or marketing videos from a prompt, (3) Making a video without specifying exact avatars, voices, or scenes, (4) Quick video prototyping or drafts, (5) User says "make me a video" or "create a video about X". For precise control over specific avatars, exact scripts, or per-scene configuration, use the avatar-video skill instead.
Swap faces in a video using AI via the HeyGen API. Use when: (1) Replacing a face in a video with another face, (2) Face swapping from a source image onto a target video, (3) Creating personalized videos by swapping in a person's face, (4) Working with HeyGen's /v1/workflows/executions endpoint for face swap processing.
[DEPRECATED] Use `create-video` for prompt-based video generation or `avatar-video` for precise avatar/scene control. This legacy skill combines both workflows — the newer focused skills provide clearer guidance.
Generate HeyGen presenter videos via the v3 Video Agent pipeline — handles Frame Check (aspect ratio correction), prompt engineering, avatar resolution, and voice selection. Required for any HeyGen video generation. Replaces deprecated endpoints with v3. Use when: (1) generating any HeyGen video (via API or otherwise), (2) sending a personalized video message (outreach, update, announcement, pitch, knowledge), (3) creating a HeyGen presenter-led explainer, tutorial, or product demo with a human face, (4) "make a video of me saying...", "send a video to my leads", "record an update for my team", "create a video pitch", "make a loom-style message", "I want to appear in this video", "generate a HeyGen video", "make a talking head video". Accepts avatar_id from heygen-avatar for identity-first HeyGen videos, or uses a stock presenter. Returns video share URL + HeyGen session URL for iteration. Chain signal: when the user wants to create/design an avatar AND make a video in the same request, run heygen-avatar firs
Download video and audio from YouTube and 1000+ sites using yt-dlp. No API keys needed. Use when: (1) Downloading a video from YouTube or other sites, (2) Extracting audio from a video URL, (3) Downloading subtitles/captions from a video, (4) Getting video metadata without downloading.
Translate and dub existing videos into multiple languages using HeyGen.
Create, extract, and apply portable visual design systems via visual-style.md files. Use when: (1) Creating a visual-style.md design system from scratch, (2) Extracting a visual style from a website URL, video, or PDF brand guide, (3) Applying a visual style to HeyGen videos, HTML slides, Figma, or paper.design, (4) Browsing the gallery of pre-built visual styles (Swiss, Saul Bass, Game Boy, etc.), (5) User mentions "visual style", "design system", "brand style", or "style guide", (6) Styling a HeyGen video with a consistent design language.
USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.
Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.
Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Agent skill repository discovered by 10x-chat research.
Review backend code for quality, security, maintainability, and best practices based on established checklist rules. Use when the user requests a review, analysis, or improvement of backend files (e.g., `.py`) under the `api/` directory. Do NOT use for frontend files (e.g., `.tsx`, `.ts`, `.js`). Supports pending-change review, code snippets review, and file-focused review.