将批准的解说词转化为详细的9：16分镜头脚本和拍摄计划。用于在资产制作或HyperFrames实施之前决定场景时长、角色动作、插图、图表、背景处理、字幕、转场和音效提示。
该技能旨在帮助AI代理（如Claude Code、Cursor、Codex等）将批准的解说词转化为完整的9：16竖屏视频视觉计划。它能够生成结构化的视觉计划文档、分镜头列表以及分镜草稿，确保每个场景都有一个主导思想并包含至少一个有意义的非文本视觉元素。每个镜头条目都包含开始时间、结束时间、目的、旁白、字幕来源、标题、视觉类型、背景、角色姿势、插图、图表、动画、转场、音效以及安全区域和对齐注释等详细数据。该技能支持通过图表展示流程和关系，通过插图表达概念和场景，通过对比展示前后变化，通过角色动作进行强调或引导，最终生成针对角色设计、声音设计和视觉资产的资源请求，从而简化从文本到视频的工作流程。
npx skills add https://github.com/Vange-wang/ai-knowledge-video-skills/tree/HEAD/skills/ai-video-visual-plan为1080×1920移动端观看设计。每个场景只有一个主导思想，并至少包含一个有意义的非文本视觉元素。
生成 visual-plan.md、shot-list.yaml 和一个9：16分镜草稿。每个镜头条目必须包括：
start、end、purpose、narration、caption_sourcetitle、visual_type、background、character_poseillustration、diagram、animation、transition、sfx使用图表展示流程和关系，使用插图表达概念和场景，使用对比展示前后变化，使用角色动作进行强调或引导。变换场景语言但避免视觉杂乱。明确指定有意重叠；所有其他重叠均视为缺陷。
最后生成对 $ai-video-character-design、$ai-video-voice-design 和 $ai-video-visual-assets 的资源请求。
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.