Agent-Skills.md

Agent Skills: Translate Video

Translate video subtitles to any language with native-quality refinement. Full pipeline: transcribe → translate → refine → embed RTL-safe subtitles. Use for: translate video, תרגם סרטון, video translation, foreign subtitles, Hebrew subtitles, translated captions.

UncategorizedID: aviz85/claude-skills-library/translate-video
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Install this agent skill to your local

pnpm dlx add-skill https://github.com/aviz85/claude-skills-library/tree/HEAD/plugins/translate-video/skills/translate-video

Skill Files

Browse the full folder contents for translate-video.

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plugins/translate-video/skills/translate-video/SKILL.md

Skill Metadata

Name
translate-video
Description
"Translate video subtitles to any language with native-quality refinement. Full pipeline: transcribe → translate → refine → embed RTL-safe subtitles. Use for: translate video, תרגם סרטון, video translation, foreign subtitles, Hebrew subtitles, translated captions."

Translate Video

End-to-end video translation pipeline: transcribe → translate → refine subtitles → embed.

Usage

/translate-video /path/to/video.mp4 he --regular
/translate-video /path/to/video.mp4 he --shorts
  • $1 — video file path (required)
  • $2 — target language code (default: he). See references/languages.md
  • $3 — --shorts (TikTok/Reels) or --regular (YouTube/tutorials). If omitted, ask the user.

Pipeline

Step 1: Transcribe

If audio > 25MB, extract first:

ffmpeg -i "$VIDEO" -vn -acodec libmp3lame -ab 128k "$AUDIO.mp3" -y

Transcribe with word-level JSON (always include --json):

cd ~/.claude/skills/transcribe/scripts && [ -d node_modules ] || npm install --silent
npx ts-node transcribe.ts -i "$INPUT" -o "$BASENAME.srt" --json

Produces: {basename}.srt, {basename}.md, {basename}_transcript.json

Step 2: Translate

Read .md for full context. Translate the .srt — preserve all timestamps and index numbers exactly. See translation rules in references/modes.md.

Step 3: Refine Subtitles

Read references/modes.md for full rules.

--shorts: Fix text only, preserve all timestamps. No merging.

--regular: Merge into full sentences using word-level timestamps.

  1. Plan subtitle groups from .md (word counts per group)
  2. Fill GROUP_SIZES in scripts/build-timestamps.py and run it
  3. Replace English text in output SRT with translated text

Step 4: Post-process (both modes)

Enforces MAX 2 lines, MAX chars/line (38 for --shorts, 42 for --regular):

python3 ~/.claude/skills/translate-video/scripts/postprocess.py "$SRT" 42

Step 5: RTL Fix (Hebrew / Arabic / Farsi only)

python3 ~/.claude/skills/translate-video/scripts/rtl-fix.py "$SRT"

Step 6: Embed & Open

~/.local/bin/ffmpeg-ass -i "$VIDEO" \
  -vf "subtitles=$SRT:force_style='FontSize=24,PrimaryColour=&H00FFFFFF,OutlineColour=&H00000000,Outline=2,Shadow=1,Alignment=2,MarginV=30'" \
  -c:v libx264 -preset fast -crf 23 -c:a copy "$OUTPUT" -y
open "$OUTPUT"

⚠️ Do NOT use Docker ffmpeg for long videos on ARM Mac — x86 emulation is ~100x slower.

Output Files

| File | Description | |------|-------------| | {name}.srt | Original language SRT | | {name}.md | Readable transcript | | {name}_transcript.json | Word-level timestamps | | {name}_{lang}.srt | Translated + refined SRT | | {name}_{lang}_subtitled.mp4 | Final video |

Supporting Files

| File | Purpose | |------|---------| | references/modes.md | Detailed --shorts and --regular rules | | references/languages.md | Language codes + RTL flags | | scripts/build-timestamps.py | Word-index cursor for --regular timestamps | | scripts/postprocess.py | Enforce line limits on any SRT | | scripts/rtl-fix.py | Apply RTL Unicode markers |