正規ナレーションと最終音声から、完全なタイムコード付き中国語字幕を生成します。縦型知識動画で、全字幕カバレッジ、読みやすいキュー分割、キーワード強調、SRT/JSON出力、ナレーション漏れの自動チェックが必要な場合に使用します。
このスキルは、縦型知識動画の制作ワークフローにおいて、最終ナレーションと認可された音声を正確なソースとして、タイムコード付きの中国語字幕を生成するためのものです。SRT、JSON、ナレーションとキューのマッピング、さらにHTML字幕要素を出力し、1度に1つのキューを表示します。1キューあたり7～14文字を目標とし、意味単位が分割できない場合のみ16～18文字を許容します。また、キーワードに控えめな強調を加えます。重要なのは、完全なナレーションを決して要約で置き換えないことです。最終的な品質保証として、`scripts/verify-caption-coverage.ps1` スクリプトが正規ナレーションと最終HTMLを比較し、不一致があると納品をブロックします。ナレーションや音声タイミングが変更された場合は、タイミングを再生成し、検証スクリプトを再実行する必要があります。これにより、常に完全なカバレッジと正確な同期が保証されます。
npx skills add https://github.com/Vange-wang/ai-knowledge-video-skills/tree/HEAD/skills/ai-video-captions最終ナレーションを厳密に字幕テキストソースとして使用し、承認済み音声をタイミングソースとして使用します。完全な字幕を要約に置き換えないでください。
コンポジションに必要な、字幕JSON、SRT、ナレーションとキューのマッピング、HTML字幕要素を生成します。1度に1つのキューを表示します。1キューあたり7～14文字の中国語を目標とし、意味単位を分割できない場合のみ16～18文字を許容します。テキストを変更せずに、控えめなキーワード強調を使用します。
正規ナレーションと最終HTMLに対して scripts/verify-caption-coverage.ps1 を実行します。不一致がある場合は納品をブロックします。ナレーションまたは音声タイミングが変更された場合は、タイミングを再生成し、検証スクリプトを再実行してください。
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.