SkillHub

skill-tiktok-ads-video

v2.1.0

Generate TikTok-style short-form ad videos with animated pill captions. Takes a base MP4 (Veo/Runway/Kling), overlays animated captions with fade in/out, mixes background audio. Built-in product presets — no captions JSON file needed. Use for TikTok ads, Reels, YouTube Shorts product videos.

Sourced from ClawHub, Authored by Zero2Ai

Installation

Please help me install the skill `skill-tiktok-ads-video` from SkillHub official store. npx skills add Zero2Ai-hub/skill-tiktok-ads-video

skill-tiktok-ads-video v2.0.0

Animated pill-style caption overlays for short-form video. No Premiere, no CapCut — pure Python. v2 ships with built-in product presets — no more manual captions JSON.

Usage (v2 — product presets)

uv run --with moviepy --with pillow scripts/overlay.py 
  --video base.mp4 
  --output final.mp4 
  --product rain_cloud 
  --style subtitle_talk

Products

  • rain_cloud — Rain Cloud Humidifier
  • hydro_bottle — Hydrogen Water Bottle
  • mini_cam — Mini Clip Camera

Styles

  • phrase_slam — Bold full-screen phrase drops
  • subtitle_talk — Conversational subtitle-style captions
  • big_center — Large centered text with price bar at top. Best for bold product reveals.
  • random — Randomly picks a style

Optional audio

  --audio music.mp3 
  --audio-start 8 
  --audio-vol 0.5

No --audio keeps the original video audio.

Custom fonts

--font-black /path/to/Montserrat-Black.ttf 
--font-bold  /path/to/Montserrat-Bold.ttf

Falls back to Montserrat from ~/.local/share/fonts/ if not specified.

Legacy usage (v1 — manual captions JSON)

Still supported for backward compatibility:

uv run --with moviepy --with pillow scripts/overlay.py 
  --video base.mp4 
  --output final.mp4 
  --captions scripts/example_captions.json

PIL textbbox fix

PIL's textbbox((0,0), text, font) returns (x0, y0, x1, y1) where y0 is a non-zero offset (typically 7–15px depending on font size). Drawing text at (x, y) without compensating for this offset causes text to appear below the pill's visual center.

Fix implemented in pill():

bb    = draw.textbbox((0, 0), text, font=font)
x_off, y_off = bb[0], bb[1]
vis_w = bb[2] - bb[0]   # actual visual width
vis_h = bb[3] - bb[1]   # actual visual height

# Compensate offsets when drawing text
tx = cx - vis_w // 2 - x_off
ty = y - y_off
draw.text((tx, ty), text, font=font, fill=fg)

Emoji note

NotoColorEmoji.ttf fails with PIL at arbitrary sizes (bitmap font with limited supported sizes). Use text alternatives ("Free delivery" instead of "Free delivery 🚚") for reliable rendering.