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Sanidhya14321Sanidhya14321/video-forge/skills/video-captions/SKILL.md

video-captions

Skill2 starsChanged 25 days agoMITView on GitHub

Transcribe audio locally, preserve word timestamps through edits, style readable captions, and prepare editable subtitle sidecars.

3 other projects use a version of this.

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  • Other versions3 projects use a version of this.

    Word for word · 0

    None found.

    Edited · 0

    None found.

    Wrote their own version · 3

    1. kitcut-hq/kitcut★ 42same name
    2. Muvon/octomind-tap★ 6same name
    3. Abdalkaderdev/takecut★ 0same name

    How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.

  • In this repository8 other files it gives its agents.

The file

We split this skill into the rules it gives an agent

2 rules. 0 are common, 0 are distinctive, and 2 are very specific to this project.

  • 0

    Common

    Most of the 3 edited versions we read keep these.

  • 0

    Distinctive

    This author's own choices. Worth a look.

  • 2

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    Read caption workflows. Choose exactly one caption input: explicit words, a transcript JSON file, or local transcription.

    line 8
  2. Very specific:

    Use the optional faster-whisper environment for transcribe: true.

    line 10

“Common” is measured: kept by at least 6 in 10 of the 3 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Video Captions

Read caption workflows. Choose exactly one caption input: explicit words, a transcript JSON file, or local transcription. Word entries are {text,start,end} in seconds. Never estimate timestamps and present them as measured alignment.

Use the optional faster-whisper environment for transcribe: true. Its timestamps are ASR estimates. Review technical terms and alignment against the sound, especially after retakes or repeated phrases. Empty or out-of-range captions stop the job.

The renderer groups short phrases and highlights active words; the runner preserves transcript.json and SRT. Check punctuation, line length, contrast, interface safe areas, and placement against the subject. Font coverage must be tested for the chosen language.

Translation is an agent-authored reference workflow. Keep the original timing unless meaning requires revised segmentation and alignment. Bilingual styling and ASS sidecars are not built-in outputs in v0.1. Read the reference for available approaches and engine limitations.

For reels, use the protected content band described in reel direction. Keep phrase grouping readable across cuts; words can emphasize actual speech, while arbitrary beat timing must not replace measured word timestamps.

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