<What it does, one line>. Trigger phrases: <phrases>.
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gabrielmoreira/agent-skills-mirror192026年10月23日 更新
免费在 GitHub 公开
karaoke-captions
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.
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集成工具TikTok
实测评分 未实测
查看安装方法包含的文件（11）
- SKILL.md3.3 KB
- .gitignore269 B
- presets/style.json369 B
- presets/yellow.json369 B
- README.md1.7 KB
- references/style-guide.md2.7 KB
- requirements.txt25 B
- scripts/extract_words.py2.0 KB
- scripts/gen_ass.py7.3 KB
- scripts/match_style_from_image.py4.2 KB
- scripts/render.sh1.3 KB
SKILL.md（原文）
安装前可以查看交给 AI 代理的指令内容。
Karaoke Captions Skill
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
| File | Purpose | Role |
|---|---|---|
input.mp4 | Source video | Input |
reference.png | Style reference image (optional) | Visual Prompt |
words.json | Word-level timestamps [{"word": ..., "start": ..., "end": ...}] | Persistent Raw Data |
style.json | Font, size, highlight color, outline, soft shadow, margin, words per line | Style Config |
captions.ass | ASS subtitle script with two-layer blurred drop shadow and inline color overrides | Generated Intermediate |
output.mp4 | Final video with burned-in subtitles | Output 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
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中文简介正在准备中。当前显示原文说明。
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