根据规范的旁白和最终配音，生成完整、带时间戳的中文字幕。用于需要完整字幕覆盖、可读性高的片段分割、关键词强调、SRT或JSON输出，并通过自动检查确保无旁白遗漏的纵向知识视频。
该技能旨在自动化生成知识视频（尤其是中文纵向视频）的完整字幕，确保字幕与最终旁白和配音完全一致。它可以从规范的旁白文本中提取精确的台词，并根据批准的配音音频生成准确的时间戳。技能的核心优势在于强制性的字幕覆盖检查——它会运行一个 PowerShell 脚本 `scripts/verify-caption-coverage.ps1`，对比规范旁白与最终 HTML 中的字幕内容，确保没有任何遗漏。如果脚本检测到不匹配，就会阻止交付，从而保证字幕的完整性和准确性。该技能支持生成 SRT、JSON 格式的字幕文件，以及 HTML 字幕元素和旁白到片段的时间轴映射，方便后续编辑和合成。
npx skills add https://github.com/Vange-wang/ai-knowledge-video-skills/tree/HEAD/skills/ai-video-captions使用最终的准确旁白作为字幕文本来源，并以批准的配音作为时间源。切勿用摘要替换完整的字幕。
生成字幕 JSON、SRT 文件、旁白到片段的时间轴映射以及合成所需的 HTML 字幕元素。每次只显示一个片段。每个片段目标长度为 7–14 个中文字符，仅当语义单元不可拆分时才允许 16–18 个字符。使用克制的关键词强调，不改变文本内容。
运行 scripts/verify-caption-coverage.ps1 脚本，对比规范旁白和最终 HTML。若不匹配，则阻止交付。如果旁白或配音时间发生变化，请重新生成时间戳并重新运行验证脚本。
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.
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.
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.