產生並標準化 9:16 AI 知識影片所需的插圖、圖表、圖示、卡片、背景及其他視覺素材。在視覺規劃後使用，以建立具有清晰階層、一致風格且無意外文字或對齊缺陷的素材庫。
此技能專為 AI 知識影片的視覺素材製作而設計。它能協助使用者根據已核准的視覺規劃，產出一致的插圖、圖表、圖示、卡片、背景及資料元素，並建立素材清單與組織良好的資料夾結構。技能支援 9:16 畫面比例，並可產生場景預覽以確認素材擺放位置。其核心規則強調插圖需傳達概念、圖表需有明確的節點與連接點，且應避免在圖片中嵌入不可編輯的文字，以利後續合成編輯。所有素材產出後，將交給 `$ai-video-hyperframes` 進行後續處理。
npx skills add https://github.com/Vange-wang/ai-knowledge-video-skills/tree/HEAD/skills/ai-video-visual-assets僅建立已經視覺規劃批准的素材。重複使用一致的色調、描邊語言、邊角半徑、光源與細節層級。
產生素材清單，並為插圖、圖表、圖示、背景與資料元素建立有組織的資料夾。對於擺放位置重要的素材，請產生 9:16 場景預覽。
規則：
將清單與素材交給 $ai-video-hyperframes。
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.
Assemble a portrait knowledge-video composition in HyperFrames from approved script, character, voice, captions and visual assets. Use to build deterministic 1080x1920 scene structure, media integration, safe-area layout and a paused GSAP timeline before detailed motion and sound polish.
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.
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.