Media skills

Convert media files between formats - video containers, audio formats, and codec transcoding

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Count occurrences of an object in the image using computer vision algorithm.

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Cut, trim, concatenate, and split video files - basic video editing operations

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Practical mastering steps for TTS audio: cleanup, loudness normalization, alignment, and delivery specs.

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Analyze media file properties - duration, resolution, bitrate, codecs, and stream information

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Apply video filters - scale, crop, watermark, speed, blur, and visual effects

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Extract key frames (I-frames) from video files using FFmpeg command line tool. Use this skill when the user needs to pull out keyframes, thumbnails, or important frames from MP4, MKV, AVI, or other video formats for analysis, previews, or processing.

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Comprehensive command-line tools for modifying and manipulating images, such as resize, blur, crop, flip, and many more.

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Extract, normalize, mix, and process audio tracks - audio manipulation and analysis

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Analyze images and multi-frame sequences using OpenAI GPT vision models

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Extract text content from images using Tesseract OCR via Python

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Standardize video sampling and frame indexing so interval instructions and mask frames stay aligned with a valid key/index scheme.

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Transcribe video to timestamped text using Whisper tiny model (pre-installed).

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Analyze videos with Google Gemini API (summaries, Q&A, transcription with timestamps + visual context, scene/timeline detection, video clipping, FPS control, multi-video comparison, and YouTube URL analysis).

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Google Text-to-Speech (gTTS) for converting text to audio. Use when creating audiobooks, podcasts, or speech synthesis from text. Handles long text by chunking at sentence boundaries and concatenating audio segments with pydub.

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Analyze and count objects in videos using Google Gemini API (object counting, pedestrian detection, vehicle tracking, and surveillance video analysis).

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Transcribe audio segments to text using Whisper models. Use larger models (small, base, medium, large-v3) for better accuracy, or faster-whisper for optimized performance. Always align transcription timestamps with diarization segments for accurate speaker-labeled subtitles.

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Transcribe audio/video to text with word-level timestamps using OpenAI Whisper. Use when you need speech-to-text with accurate timing information for each word.

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Detect speech segments in audio using VAD tools like Silero VAD, SpeechBrain VAD, or WebRTC VAD. Use when preprocessing audio for speaker diarization, filtering silence, or segmenting audio into speech chunks. Choose Silero VAD for short segments, SpeechBrain VAD for general purpose, or WebRTC VAD for lightweight applications.

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Create audiobooks from web content or text files. Handles content fetching, text processing, and TTS conversion with automatic fallback between ElevenLabs, OpenAI TTS, and gTTS.

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OpenAI Text-to-Speech API for high-quality speech synthesis. Use for generating natural-sounding audio from text with customizable voices and tones.

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Analyze images and multi-frame sequences using OpenAI GPT series

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Video editing with ffmpeg including cutting, trimming, concatenating segments, and re-encoding. Use when working with video files (.mp4, .mkv, .avi) for: removing segments, joining clips, extracting portions, or any video manipulation task.

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Extract frames from video files and save them as images using OpenCV

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