在 HyperFrames 中根据已批准的脚本、角色、语音、字幕和视觉素材，组装一幅人物知识视频合成画面。用于构建确定的 1080x1920 场景结构、媒体集成、安全区域布局，以及在详细动态和音频润色之前的一个暂停的 GSAP 时间线。
该技能旨在帮助开发者和 AI 代理在 HyperFrames 环境中高效构建人物知识视频。它强调从已批准的脚本、角色、语音、字幕和视觉素材出发，组装出结构清晰的视频合成画面。技能的核心是构建一个 1080x1920 分辨率、30fps 的确定型场景结构，其中 HTML 作为视觉来源真理，并使用暂停的同步 GSAP 时间线进行控制。这确保了所有元素的静态终态布局在动画开始前就已确立，避免了随机化或无限循环带来的不确定性。目前主要支持 HyperFrames CLI 平台。通过严格的 lint、validate 和 inspect 过程，该技能可以生成结构化的场景布局和检查说明，并移交给下一阶段的 `$ai-video-motion-audio` 进行复杂动态和音频的精修。
npx skills add https://github.com/Vange-wang/ai-knowledge-video-skills/tree/HEAD/skills/ai-video-hyperframes使用 HyperFrames 技能和 CLI 约定。在动画化之前，先建立视觉识别和完整的静态终态布局。
构建一个 1080×1920、30fps 的合成画面。HTML 是视觉来源真理。使用固定的合成元数据和一条暂停的同步 GSAP 时间线。集成已批准的素材、插画、图表、字幕和画外音。
要求：
Math.random()、无限循环或 repeat: -1。$ai-video-motion-audio，但要确保结构现在是可检查的。运行 HyperFrames lint、validate 和 inspect。将合成画面和检查说明移交给运动阶段。
This repo contains 10 individual skills — each has its own dedicated page.
Coordinate the full production of a vertical AI knowledge video from mixed source materials through analysis, script, visuals, mandatory character and voice approval, captions, HyperFrames composition, motion, calibration, and delivery. Use when the user wants an end-to-end short-video workflow or needs to resume or revise one stage without losing downstream dependencies.
Perform the final global calibration and delivery gate for a HyperFrames vertical video. Use to inspect all visual positions and animation paths, eliminate accidental overlap or drift, verify full captions and technical encoding, render the final MP4, and export a storyboard for review.
Generate complete, timed Chinese captions from the canonical narration and final voiceover. Use when a vertical knowledge video needs full subtitle coverage, readable cue segmentation, keyword emphasis, SRT or JSON output, and an automated check that captions do not omit narration.
Complete the mandatory character-design gate for a vertical explainer video. Use when the specific presenter character is not yet chosen, when generating candidates and action sheets, or when replacing an approved character while preserving consistent proportions and clean transparent pose assets.
Analyze mixed source materials for a vertical AI knowledge video, including images, outlines, copy, scripts, videos and benchmarks. Use before writing the script to separate user instructions from source content and extract the audience problem, core argument, evidence, structure and visualization opportunities.
Add controlled motion, scene transitions, background music and sound effects to an assembled HyperFrames vertical video. Use when the static composition is approved and needs tight pacing, readable animation, clean transitions and voice-first audio mixing.
Write a tight Chinese short-video script for AI knowledge and business education from an approved content analysis. Use to produce the 3–5 second hook, narrative progression, full narration, rhythm, visual notes, audio cues and CTA for a portrait video.
Produce and normalize illustrations, diagrams, icons, cards, backgrounds and other visual assets for a 9:16 AI knowledge video. Use after the visual plan to build a coherent asset library with clean hierarchy, consistent style and no accidental text or alignment defects.
Turn an approved narration into a detailed 9:16 storyboard and shot plan. Use to decide scene timing, character actions, illustrations, diagrams, background treatment, captions, transitions and sound cues before asset production or HyperFrames implementation.
Complete the mandatory voice-selection and voiceover gate for a vertical knowledge video. Use when the concrete voice is unresolved, when comparing providers or voices, when generating an approval preview, or when producing final narration with preset or authorized cloned speech.
Extract frames or short clips from videos using ffmpeg.
Summarize or transcribe URLs, YouTube/videos, podcasts, articles, transcripts, PDFs, and local files.
Use when testing, fixing, or extending the OpenClaw Control UI GUI with Vitest + Playwright end-to-end checks, mocked Gateway WebSocket flows, mocked dashboard runs, screenshots/videos, or agent-verifiable browser proof.
Obra superpowers agent skills.
See, Understand, Act on video and audio. See- ingest from local files, URLs, RTSP/live feeds, or live record desktop; return realtime context and playable stream links. Understand- extract frames, build visual/semantic/temporal indexes, and search moments with timestamps and auto-clips. Act- transcode and normalize (codec, fps, resolution, aspect ratio), perform timeline edits (subtitles, text/image overlays, branding, audio overlays, dubbing, translation), generate media assets (image, audio...
End-to-end marketing campaign planning and execution. Covers audience research, positioning, campaign angle definition, landing page copy, email sequences, social posts, ad copy, short-form video scripts, and content calendars. Use as the orchestration layer for multi-channel product launches. Use when planning or executing a multi-channel product launch, or producing landing page, email, social, or ad copy.