video-understand は何をしますか？
ffmpegとWhisperを使用して、ビデオの内容をローカルで理解します。APIキーは不要です。利用シーン: (1) ビデオに何が含まれているかを理解する、(2) ビデオ音声をローカルで文字起こしする、(3) 視覚分析のためのキーフレームを抽出する、(4) APIキーなしでビデオコンテンツを取得する。
ffmpegとWhisperを使用して、ビデオの内容をローカルで理解します。APIキーは不要です。利用シーン: (1) ビデオに何が含まれているかを理解する、(2) ビデオ音声をローカルで文字起こしする、(3) 視覚分析のためのキーフレームを抽出する、(4) APIキーなしでビデオコンテンツを取得する。
このスキルは、ffmpeg によるフレーム抽出と Whisper によるローカル文字起こしを組み合わせて、ビデオの内容を理解するための強力なツールです。**最大の利点は、API キーが不要なこと**で、プライバシーを重視する開発者や、外部サービスに依存せずにオフラインでビデオ分析を行いたいユーザーに最適です。具体的には、(1) ビデオに何が含まれているかを素早く把握する、(2) ビデオ音声を高精度で文字起こしする、(3) 視覚分析のためのキーフレームを抽出する、(4) コストやAPI制限を気にせずにビデオコンテンツを処理する、といったユースケースに対応します。このスキルは、Claude Code、Cursor、Codex などの主要な AI エージェントプラットフォームで利用でき、ffmpeg と Whisper という実績あるオープンソースツールを基盤としているため、信頼性が高く、カスタマイズも容易です。ユーザーは、ビデオファイルを指定するだけで、AI エージェントが自動的に処理を実行し、分析結果を提供します。
npx skills add https://github.com/heygen-com/skills/tree/main/skills/video-understandInstalled? Explore more 研究＆データ分析 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
ffmpegとWhisperを使用して、ビデオの内容をローカルで理解します。APIキーは不要です。利用シーン: (1) ビデオに何が含まれているかを理解する、(2) ビデオ音声をローカルで文字起こしする、(3) 視覚分析のためのキーフレームを抽出する、(4) APIキーなしでビデオコンテンツを取得する。
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.