정식 내레이션과 최종 음성 해설로부터 완전하고 타임라인이 적용된 중국어 자막을 생성합니다. 세로형 지식 영상에 전체 자막, 읽기 좋은 큐 분할, 키워드 강조, SRT 또는 JSON 출력, 자막 누락 검사가 필요할 때 사용합니다.
이 스킬은 AI 에이전트가 지식 동영상(특히 세로형 숏폼)의 중국어 자막을 자동으로 생성하고 검증할 수 있게 해줍니다. 최종 내레이션을 자막 텍스트로 사용하고, 승인된 음성 해설을 타이밍 기준으로 삼아 완전한 자막을 생성합니다. 단순 요약이 아닌 전체 문장을 유지하며, 하나의 큐(cue)를 한 번에 표시하고 큐당 7~14자의 중국어 문자를 목표로 합니다. 키워드 강조는 텍스트를 변경하지 않고 제한적으로 사용합니다. 생성된 HTML과 정식 내레이션 간의 불일치를 `scripts/verify-caption-coverage.ps1` 스크립트로 자동 검증하여 자막 누락을 방지합니다. 내레이션이나 음성 타이밍이 변경되면 자막을 다시 생성하고 검증을 다시 실행해야 합니다. 지원 플랫폼으로는 Claude Code, Cursor, Codex 등과 같은 AI 코딩 에이전트 환경을 가정합니다.
npx skills add https://github.com/Vange-wang/ai-knowledge-video-skills/tree/HEAD/skills/ai-video-captions정식 내레이션의 최종 버전을 자막 텍스트 원천으로 사용하고, 승인된 음성 해설을 타이밍 원천으로 사용하세요. 완전한 자막을 요약으로 대체하지 마십시오.
합성에 필요한 자막 JSON, SRT, 내레이션-큐 매핑 및 HTML 캡션 요소를 생성하세요. 한 번에 하나의 큐만 표시하세요. 큐당 714자의 중국어 문자를 목표로 하고, 의미 단위를 분할할 수 없는 경우에만 1618자를 허용하세요. 텍스트를 변경하지 않고 제한적인 키워드 강조를 사용하세요.
정식 내레이션과 최종 HTML에 대해 scripts/verify-caption-coverage.ps1을 실행하세요. 불일치가 있으면 전달을 차단합니다. 내레이션이나 음성 타이밍이 변경되면 타이밍을 다시 생성하고 검증기를 다시 실행하세요.
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.