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SkillsMP has collected 12 skills from akrindev/trimer-clip. Open a skill to review its source and details.
Showing 12 of 12 collected skills.
Main orchestration skill for automatic creation of short-form content (TikTok, YouTube Shorts, Instagram Reels) from long videos. Fully automated workflow: download video, transcribe, detect highlights (transcript + laughter + sentiment + scenes), trim…
Combined analysis skill to find viral-worthy highlights from videos. Scans transcripts, detects laughter, analyzes sentiment/emotion, and uses scene changes to identify the most engaging moments for TikTok/Shorts/Reels. Produces ranked list of highlight…
Download videos from YouTube URLs. Use when user wants to download a YouTube video for processing, editing, or transcription. Supports different quality options, audio-only extraction, and playlist downloads.
Convert videos to 9:16 portrait format (1080x1920) for TikTok, YouTube Shorts, Instagram Reels, and Facebook Reels. Supports smart cropping (face-aware), center cropping, and letterboxing. Maintains aspect ratio and quality.
Add burned-in subtitles/captions to video clips. Supports SRT/VTT/ASS subtitle files, customizable styling (font, size, color, position), and platform-specific presets for TikTok, YouTube Shorts, and Instagram Reels.
Transcribe audio from videos using Whisper (local), OpenAI Whisper API, Google Speech-to-Text, or Gemini API (gemini-flash-lite-latest). Use when you need to convert video/audio to text for further processing, subtitle generation, or content analysis.…
Detect laughter and humorous segments in audio/video. Use when you want to find funny moments, identify audience reactions, or create viral clips from humorous content. Supports both AI model detection and keyword-based detection from transcripts.
Detect scene changes and shot boundaries in videos. Use when you need to identify where scenes change, find natural cut points, or segment video into scenes. Supports adaptive detection for both fast cuts and gradual fades.
Analyze sentiment and emotion in audio/video content. Use when you want to identify emotional peaks, detect positive/negative sentiment, find reaction moments, or analyze the emotional journey throughout the video. Supports both transcript-based and AI-based…
Advanced speaker diarization using pyannote-audio. Identify who speaks when, detect multiple speakers, handle overlapping speech, and create speaker-specific segments. Use when you need accurate speaker identification, multi-speaker content analysis, or…
Trim and cut videos by timestamp with precision. Supports both stream copy (fast) and re-encoding (quality) modes. Use when you need to extract specific segments from videos, create clips from highlights, or cut unwanted portions.
Process multiple videos in batch mode for efficiency. Supports batch download from YouTube URLs, batch autocut for multiple videos, and batch export to multiple platforms. Generates consolidated reports with all clips.