完成知识类竖版视频的必选语音选型与配音门控。当具体语音未确定、比较提供商或语音、生成审批预览，或使用预设/授权克隆语音制作最终旁白时使用。
该技能专为知识类竖版视频的语音设计阶段提供完整的工作流管理。它确保从“语音未定”到“生产就绪”的每个步骤都有清晰的决策和用户审批。技能支持预设语音、用户提供的音频或授权的语音克隆，同时严格遵循API密钥安全规则和语音克隆的伦理要求。它会生成语音简报、候选列表、预览文件、审批证据以及完整的配音和时序元数据。当语音或时序发生变化时，它会强制下游的字幕时序、音频集成、动作/音频对齐和校准任务重新执行，确保最终输出的质量。该技能适用于Claude Code、Cursor、Codex等工具，通过结构化的MAKE流程逐步引导用户完成语音选择、预览生成和最终配音输出。
npx skills add https://github.com/Vange-wang/ai-knowledge-video-skills/tree/HEAD/skills/ai-video-voice-design即使语音未确定，此阶段也必须执行。请遵循以下流程：
未确定 → 选定供应商 → 生成候选语音 → 生成预览 → 用户审批 → 生成完整配音 → 生产就绪
选择合适的语音，适合知识渊博的年轻专业人士：清晰、冷静、可信、有活力但不显促销。生成简短的代表性预览，并在渲染完整旁白前获得用户批准。
支持预设语音、用户提供的音频或授权的语音克隆。对于MiMo，请遵循 references/mimo.md。禁止提交、打印或嵌入API密钥。禁止在未获得用户所有权或明确授权的情况下克隆语音。
生成语音简报、候选说明、预览文件、审批证据、完整配音以及时序元数据。如果语音或时序发生变化，需要下游的字幕时序、音频集成、动作/音频对齐和校准重新运行。
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.
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.
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.