使用 HyperFrames 組合一個人物知識影片，包含經核准的腳本、角色、語音、字幕與視覺素材。用於建立確定性的 1080x1920 場景結構、媒體整合、安全區域佈局，以及在動作與音效細節調校前暫停的 GSAP 時間軸。
此技能（Vange-wang/ai-knowledge-video-skills）專為在 HyperFrames 框架中組合人物知識影片而設計。它引導 AI 代理建立一個完整的 1080x1920 解析度、30fps 的影片合成，並以 HTML 作為視覺的唯一真實來源。其核心要求是使用固定的合成元資料和一個同步且暫停的 GSAP 時間軸，確保場景結構、媒體整合、安全區域佈局以及角色、插圖、圖表、字幕和旁白等所有資產的整合都具備確定性。技能強制執行嚴格的開發原則：所有位置和時間必須確定（不能使用 Math.random 或無限循環），每個圖表都需有明確的座標系統，並為標題、字幕和平台 UI 設定穩定的安全區域。每個場景都必須有入場狀態與明確的入出場轉換，而最後一個場景則需要保留出場動畫。複雜的動作和音頻對齊則留給後續的 `$ai-video-motion-audio` 階段處理，但此技能會建立一個可審查的結構。最終工作流程包括執行 HyperFrames 的 lint 檢查、驗證和檢查，然後將合成結果與檢查註記移交給下一個動作處理階段。
npx skills add https://github.com/Vange-wang/ai-knowledge-video-skills/tree/HEAD/skills/ai-video-hyperframes遵循 HyperFrames 技能與 CLI 慣例。在動畫開始前，先建立視覺識別與完整的靜態最終狀態佈局。
建立一個 1080×1920、30fps 的合成。HTML 是視覺的唯一真實來源。使用固定的合成元資料和一個暫停的同步 GSAP 時間軸。整合經核准的角色素材、插圖、圖表、字幕與旁白。
需求：
Math.random()、無窮迴圈或 repeat: -1。$ai-video-motion-audio，但現在就要讓結構可審查。執行 HyperFrames 的 lint、驗證與檢查。將合成結果與檢查註記移交給動作階段。
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.