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Found 126 Skills
Video understanding for any model — native passthrough for small files, frame extraction + audio transcription fallback for large files. Use when the user asks to analyze, describe, or understand a video file (e.g. "what's in this video", "summarize this clip", "transcribe this recording").
ML-powered Karaoke app in Rust using Bevy, WhisperX, and Demucs for stem separation, lyrics transcription, and pitch scoring.
Supercharged video tools for downloading, speed controls, scrubbing, transcriptions, clipping, conversions and more
Unified media processing center for audio and video transcription, format conversion, frame extraction, and content understanding. Handles batch processing, subtitle generation, and speech-to-text with multi-language support. Use when: "媒体处理", "media processing", "音视频转录", "video transcription", "格式转换", "audio to text", "视频转文字", "subtitle generation", "extract frames", "内容理解". Cross-references: pitch-deck-creator, amap-navigator. Built by UniqueClub 🌐 https://uniqueclub.ai
Convert files between 140+ formats using the ConversionTools MCP server. Use when the user needs to convert documents (Word, PDF, Excel, PowerPoint), data formats (JSON, CSV, XML, YAML, Parquet), images (PNG, JPG, WebP, AVIF, HEIC, JXL, SVG), audio (MP3, WAV, FLAC), video (MOV, MKV, AVI to MP4), e-books (EPUB, MOBI, AZW), OCR text extraction, AI-powered data extraction, AI text-to-speech (TTS), AI speech-to-text transcription (STT), subtitle conversion (SRT, VTT, ASS), or website screenshots.
Transcribe speech to text using OpenRouter's speech-to-text API. Use when the user asks to transcribe audio, convert speech to text, extract a transcript from a recording or meeting, caption a video's audio, or mentions STT, speech-to-text, ASR, or transcription.
Subtitle generation and burning. Transcription → dictionary correction → review → burning. Trigger words: add subtitles, generate subtitles, subtitles
Transcribe speech to text using the Speech framework. Use when implementing live microphone transcription with AVAudioEngine, recognizing pre-recorded audio files, configuring on-device vs server-based recognition, handling authorization flows, or adopting the new SpeechAnalyzer API (iOS 26+) for modern async/await speech-to-text.
Transcribe audio/video using trx CLI and post-process results with agent corrections. Use when: (1) user wants to transcribe a video or audio file, (2) user shares a YouTube/Twitter/Instagram URL for transcription, (3) user says "transcribe", "subtitles", "srt", "transcript", (4) user wants to fix/clean up a whisper transcription, (5) user asks to extract text from a video.
TranscribeMe platform help — human+AI hybrid transcription service with 99% accuracy guarantee on human-reviewed tiers, HIPAA compliance, and REST API. Use when uploading audio for human-edited transcription, choosing between Machine Express and human-reviewed tiers, integrating TranscribeMe API into a transcript pipeline, comparing TranscribeMe vs Rev vs GoTranscript vs Sonix for accuracy-critical transcription, troubleshooting slow turnaround or inconsistent punctuation, setting up HIPAA-compliant medical or legal transcription, or debugging chunked upload or OAuth token issues. Do NOT use for live meeting recording or real-time transcription (TranscribeMe is upload-only — use /sales-note-taker for live meeting tools).
Transcribe pre-recorded audio files or URLs with Gladia. Use when the user needs batch/async transcription, speaker diarization, subtitles (SRT/VTT), PII redaction, translation, NER, summarization, chapterization, audio-to-LLM, or any audio intelligence on pre-recorded content. Always prefer the official SDK; fall back to raw REST only when SDK cannot satisfy the requirement.
Subtitle Generation and Burning. Volcengine Transcription → Dictionary Error Correction → Review → Burning. Trigger words: add subtitles, generate subtitles, subtitles