Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
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, mix...
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, mix...
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Animated pill-style caption overlays for short-form video. No Premiere, no CapCut โ pure Python. v2 ships with built-in product presets โ no more manual captions JSON.
uv run --with moviepy --with pillow scripts/overlay.py \ --video base.mp4 \ --output final.mp4 \ --product rain_cloud \ --style subtitle_talk
rain_cloud โ Rain Cloud Humidifier hydro_bottle โ Hydrogen Water Bottle mini_cam โ Mini Clip Camera
phrase_slam โ Bold full-screen phrase drops subtitle_talk โ Conversational subtitle-style captions big_center โ Large centered text with price bar at top. Best for bold product reveals. random โ Randomly picks a style
--audio music.mp3 \ --audio-start 8 \ --audio-vol 0.5 No --audio keeps the original video audio.
--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.
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's textbbox((0,0), text, font) returns (x0, y0, x1, y1) where y0 is a non-zero offset (typically 7โ15px 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)
NotoColorEmoji.ttf fails with PIL at arbitrary sizes (bitmap font with limited supported sizes). Use text alternatives ("Free delivery" instead of "Free delivery ๐") for reliable rendering.
Writing, remixing, publishing, visual generation, and marketing content production.
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