All skills
hoodini avatar

/video-edit

@d87beb7

Edit any video into a captioned showcase — transcribe (any language, defaults to large-v3), present a transcript_review.txt for the user to fix mishears BEFORE rendering, then build a HyperFrames composition with liquid-glass caption pills, liquid blob background, liquid morph wipes, optional behind-subject text via background removal, and render the final video. Use whenever the user provides a video file and asks to edit it, caption it, add subtitles, fix existing captions, make a reel/promo/captioned tutorial, or "do the same" pattern as a prior captioned video. Supports English, Hebrew, and any Whisper-supported language. **Renders both 16:9 (YouTube / horizontal) and 9:16 (TikTok / Instagram Reels / YouTube Shorts) from the SAME 16:9 source** — vertical mode uses a centered footage strip with a blurred backdrop + liquid blobs and a vertical-tuned caption pill, no need to re-shoot. THE PIPELINE PAUSES FOR USER APPROVAL on the transcript before final render — this is the support mechanism for getting captions perfect (especially Hebrew). Pairs with hyperframes, hyperframes-cli, hyperframes-registry, and yuv-design-system skills.

Use this Skill: https://skilld.dev/gh/hoodini/ai-agents-skills/video-edit

This session only. Nothing lands on disk.

referencescorrections-hebrew.md

≈537 tokens on demand. Your agent reads this file only when SKILL.md points to it.

Known Hebrew Whisper Mishears (large-v3)

Seed your generator's CORRECTIONS dict with these. Keys are the wrong token that Whisper outputs; values are the correct Hebrew. Apply by exact-match on the stripped token (preserving trailing punctuation).

CORRECTIONS_HE = {
    # Claude (the AI) — comes out as "cloud" cognate
    "קלוט": "קלוד",
    "לקלוט": "לקלוד",
    "מקלוט": "מקלוד",

    # other product / loanwords
    "אישות": "שוט",          # cinematic SHOT
    "מודי": "דפי",           # landing PAGES (not "moods")
    "מהמדהים": "המהמם",       # "the stunning"
    "המאמם": "המהמם",
    "התירוף": "הטירוף",       # "the madness"
    "מהתחלס": "מהתחלה",       # from the start
    "החתונה": "תחתונה",       # שורה תחתונה — bottom line

    # subject names / pronouns gone wrong
    "הרגע": "האריה",         # context: Marcus THE LION

    # routine spelling slips
    "מזגיר": "מזכיר",
    "אשמחים": "אשמח",
    "ערב": "ערך",            # value (not evening)
}

Notes

  • ערב legitimately means "evening" — only auto-correct if the surrounding context is clearly about value (e.g. "אם קיבלתם ערך" at the end of a sign-off). If in doubt, leave it for the user to fix in the review step.
  • קלוט and variants — Whisper consistently mishears Claude. Force-replace.
  • Names of channels, animals, places (Hope, Marcus, Midbarium) — usually correct, but spot-check in review.
  • For English-mixed Hebrew (the speaker says "Claude Code" in English mid-sentence), Whisper may transliterate awkwardly. Replace the transliteration with the English term in Latin letters: קלוד קוד → Claude Code for cleaner captions.

How to add new corrections

When you spot a new repeated mishear during transcript review:

  1. Add it to the project's gen_body.py CORRECTIONS dict (one-off).
  2. If it's a generally useful correction (brand name, common Hebrew vocab) — also append it to this file so the next project starts with it.

Source: SKILL.md on GitHub

1 alert3mo3 checks · Risk SAFE
  • Gen Agent Trust Hub3mo

    The video-edit skill provides a legitimate and well-documented pipeline for automated video captioning and editing. It employs industry-standard tools like ffmpeg and faster-whisper. While the skill includes powerful features like a local web server for transcript review and remote script execution for installation, these are implemented using author-owned resources and restricted to the local loopback interface, aligning with the skill's primary purpose.

  • Socket3mo

    1 alert: gptAnomaly

  • Snyk3mo

    Risk: CRITICAL · 2 issues

Signed by skilld at d87beb7. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub 2 days ago.

Steadyupdated 4 months ago

README badge

README badge for hoodini/ai-agents-skills/video-edit