將已核准的旁白轉換為詳細的 9:16 分鏡腳本與鏡頭規劃。用於在資產製作或 HyperFrames 實作之前，決定場景時間、角色動作、插圖、圖表、背景處理、字幕、轉場與音效提示。
此技能專為 AI 代理器（如 Claude Code、Cursor、Codex）設計，用於將已核准的旁白腳本轉化為結構化的 9:16 垂直影片視覺規劃。它會產出三個主要文件：`visual-plan.md`（視覺計畫）、`shot-list.yaml`（鏡頭列表 YAML）以及一份分鏡草稿。每個鏡頭條目都包含精確的時間碼（start/end）、敘述對應、字幕來源、視覺類型（圖解、插圖、對比、角色動作）、背景處理、角色姿勢、動畫與轉場效果，以及安全區域標註。此技能強制執行「每場景一主概念」與「至少一個有意義的非文字視覺」原則，確保影片在行動裝置（1080×1920）上清晰且吸引人。它透過明確區分意圖重疊（允許）與缺陷性重疊（禁止），幫助使用者避免視覺雜訊。最後會自動產生對 `$ai-video-character-design`、`$ai-video-voice-design` 和 `$ai-video-visual-assets` 的資產請求，以銜接後續製作階段。此技能適用於任何需要從文字旁白系統性產生影片視覺規劃的 AI 代理器或開發工具。
npx skills add https://github.com/Vange-wang/ai-knowledge-video-skills/tree/HEAD/skills/ai-video-visual-plan專為 1080×1920 行動裝置觀看設計。每個場景只傳達一個主概念，並包含至少一個有意義的非文字視覺元素。
產出 visual-plan.md、shot-list.yaml 以及一份 9:16 分鏡草稿。每個鏡頭條目必須包含：
start、end、purpose、narration、caption_sourcetitle、visual_type、background、character_poseillustration、diagram、animation、transition、sfx使用圖解來表示流程與關係，插圖來表示概念與情境，對比來表示前後差異，角色動作來強調或引導。變化場景語言，但避免造成視覺雜訊。明確定義意圖性的重疊；所有其他重疊皆視為缺陷。
最後以對 $ai-video-character-design、$ai-video-voice-design 和 $ai-video-visual-assets 的資產請求作結。
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.
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.
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.