Teach an English word as a video supercut
openbooklet.com/s/teach-an-english-word-as-a-video-supercutopenbooklet.com/s/[email protected]GET /api/v1/skills/teach-an-english-word-as-a-video-supercutTurn one English word into a self-contained HLS lesson:
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**VoiceDrop çå ¨é¨è½åé½å¨ MCP éãè¿ä¸ª skill å¯ä¸çä½ç¨ï¼æ¯æä½ æ¥ä¸å»ã**
Video + SRT â video with subtitles. Also the final-encode stage for the localization pipeline: takes a video, an optional dub track from `/wjs-dubbing-video`, and an optional SRT to burn, and produces the upload-ready MP4 in **one** ffmpeg pass. No cascade of decodes/re-encodes.
Installs a self-driving feedback loop into any website repo. Runs entirely on the repo owner's own GitHub Actions, authenticated with their Pro/Max OAuth token or their own `ANTHROPIC_API_KEY` â no extra service or backend.
VoiceDrop æ¶ä»¶ç®±ï¼`jianshuo.dev/files` ä¸ç `VoiceDrop-*.m4a`ï¼â éæ¡è½¬å â äº¤ç» `wjs-mining-articles` åºå ¬ä¼å·è稿ãè¿æ¯ VoiceDrop iOS appï¼å¼å£å³å½ãåå³ä¸ä¼ ï¼ç Mac 端éç¯ã
Post-production for a video clip: cover, captions, illustrations, CTA, custom motion graphics â all composed in ONE HyperFrames project and rendered in a SINGLE final encode. No cascade of decodes/re-encodes (each cascade pass degrades quality and burns time).
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Take an iOS app that's already building to **TestFlight** and ship it to the **App Store**: prepare the **screenshots** + **description/metadata**, then use the existing **fastlane** to **submit for review**.
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Compute a single time offset for each multi-source recording of the same event using audio cross-correlation, and emit a `.sync.json` sidecar next to each original. **Originals are never modified, copied, or re-encoded.** Downstream tools use `-itsoffset` to apply the offset at consume time.
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Spoken audio in â timestamped SRT in the same language out. **This skill stops at the source-language SRT.** Translation to another language is the next skill (`/wjs-translating-subtitles`).
Source-language SRT in â target-language (or bilingual) SRT out. **This skill is text-only.** Burn-in lives in `/wjs-burning-subtitles`; voice dub in `/wjs-dubbing-video`.
Push finished videos to YouTube. Defaults are tuned for this user's workflow (çå»ºç¡ channel, China network with local proxy, 1080p horizontal recordings from Riverside / multicam edits).
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