Video Clipper

Takes a long-form video and produces ready-to-post short-form vertical clips with speaker-tracked framing and professional animated captions. Works with podcasts, interviews, talks, and any talking-head content.

Requirements

• FFmpeg installed and available in PATH (brew install ffmpeg on macOS, apt install ffmpeg on Linux)
• Python 3 with openai-whisper and requests packages (pip install openai-whisper requests). Note: openai-whisper installs PyTorch (~2GB download). This skill uses openai-whisper instead of the lighter whisper-cpp because it provides word-level timestamps needed for accurate viral moment scoring.
• yt-dlp installed (for YouTube/URL downloads) — brew install yt-dlp on macOS, pip install yt-dlp on Linux
• API Keys in .env file (project root or any parent directory):
  • KLAP_API_KEY — from klap.app (reframing with speaker tracking)
  • CAPTIONS_AI_API_KEY — from captions.ai / platform.mirage.app (animated captions)

Before starting: Verify that FFmpeg, yt-dlp, and the Python packages are installed. If any are missing, instruct the user to install them before proceeding.

Cost Per Clip