Karaoke Captions Skill

SkillMedia

Lets your agent add word-by-word highlighted karaoke captions to a video, matching a style from a screenshot if you have one.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Karaoke Captions Skill skill

About this capability

Generate TikTok/Shorts-style karaoke captions using MLX Whisper, ASS subtitles, and FFmpeg libass. Use when burning word-level highlight captions into a video, matching caption style from a screenshot, rendering ASS karaoke subtitles, or when the user runs /karaoke-captions.

What this skill tells your AI

The instructions your AI receives, as published by ai-builder-club/skills in skills/karaoke-captions/SKILL.md and read by ahel’s review.

Generate dynamic, TikTok/Shorts-style karaoke captions with word-level highlight sweeps using ASS subtitles and FFmpeg libass. Supports style matching from a reference screenshot.

Scripts, presets, and references live next to this skill. Run the commands from the skill directory (or pass absolute paths).

Requirements

  • macOS with Apple Silicon (MLX Whisper)
  • Python 3.10+
  • FFmpeg with libass (brew install ffmpeg)
python -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt
reference.png --------(match_style_from_image.py)--------> style.json --+
                                                                   +--(gen_ass.py)--> captions.ass --(render.sh)--> output.mp4
input.mp4 ---------------------------------->(extract_words.py)--> words.json --+

File Architecture

FilePurposeRole
input.mp4Source videoInput
reference.pngStyle reference image (optional)Visual Prompt
words.jsonWord-level timestamps [{"word": ..., "start": ..., "end": ...}]Persistent Raw Data
style.jsonFont, size, highlight color, outline, soft shadow, margin, words per lineStyle Config
captions.assASS subtitle script with two-layer blurred drop shadow and inline color overridesGenerated Intermediate
output.mp4Final video with burned-in subtitlesOutput Deliverable

Standard Workflow

Step 1. Extract Word Timestamps

python scripts/extract_words.py \
  input.mp4 words.json \
  --model mlx-community/whisper-large-v3-turbo

(For Chinese videos, add --language zh).

Step 2. Select Style or Auto-match from Reference Image

  • From Reference Image:
    python scripts/match_style_from_image.py \
      reference.png style.json --video input.mp4
    
  • From Presets:
    • presets/style.json: Default neon green highlight (#00FF00), Arial Black, all-caps, 4 words/line.
    • presets/yellow.json: Yellow highlight (#FFFF00), Arial Black, all-caps.

To adjust appearance manually, see Style Guide.

Step 3. Generate ASS Subtitles

python scripts/gen_ass.py \
  words.json style.json captions.ass --video input.mp4

Step 4. Render Preview & Visual Check

# Preview segment:
scripts/render.sh input.mp4 captions.ass preview.mp4 3 8

# Frame snapshot:
scripts/render.sh frame input.mp4 captions.ass preview_frame.png 4.5

Step 5. Render Final Video

scripts/render.sh input.mp4 captions.ass output.mp4

References & Presets

Signals

GitHub stars
1k
Forks
158
Last commit
Sep 2026

ahel review

  • K1binfo
    installs-packages
  • K1binfo
    installs-packages (in scripts/extract_words.py)
  • K1binfo
    installs-packages (in README.md)

Automated review, not a security audit. Ruleset v1+k2.

Advanced
Catalog kind
skill
Gateway key
karaoke-captions
Source
github.com/ai-builder-club/skills