media-hub

name

media-hub

description

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

Media Hub

Unified audio and video processing, transcription, and understanding.

When to Use

Use this skill when:

• Processing audio or video files for transcription or conversion
• Generating subtitles or speech-to-text output
• Extracting frames or clips from video content
• Performing batch media operations or format conversions

Do NOT use this skill if:

• The task is creating presentation slides → use pitch-deck-creator
• The task requires map or location data → use amap-navigator
• You only need simple file copying without media analysis

Typical triggers:

• 「视频转文字」「音频转录」「生成字幕」
• "transcribe video", "convert media format", "audio to text"
• "extract video frames", "batch process audio", "媒体转换"

Workflow

Step 1: Ingest Media

Accept input via:

• File path to local audio/video
• URL to downloadable media
• Existing media directory for batch processing

Step 2: Select Operation

Choose the appropriate processing mode:

• Transcription — speech-to-text with speaker diarization (optional)
• Format Conversion — re-encode to mp3, mp4, wav, webm, etc.
• Frame Extraction — capture keyframes at intervals or timestamps
• Subtitle Generation — produce SRT/VTT from transcribed audio
• Content Understanding — generate summaries or topic extraction from media

Step 3: Configure Parameters

• Source language for transcription (auto-detect if not specified)
• Output format and quality settings
• Target directory for processed files
• Batch size (for bulk operations)

Step 4: Execute Processing

Run the relevant pipeline and report progress:

Processing: filename.ext
- Transcoding: 45%
- Transcribing: 20%

Step 5: Deliver Results

Output files to a structured directory:

media-output/
├── transcript.txt / .srt / .vtt
├── converted/
├── frames/
└── summary.md

Guardrails

Anti-patterns

• NEVER process copyrighted content without user confirmation
• NEVER overwrite original source files; always output to a separate directory
• NEVER return extremely long raw transcripts without a summary or table of contents

Output Constraints

• Original files remain untouched
• Transcripts include timestamps when subtitles are requested
• Frame extractions include metadata (timestamp, resolution)
• Summaries are concise and structured

Error Handling

• Unsupported format: inform user and suggest conversion options
• Large files: split into chunks or request shorter segments
• Low-quality audio: flag accuracy warnings in transcription output

Related Skills

• • amap-navigator — Geotag or route media content when location context is needed

About UniqueClub

This skill is part of the UniqueClub toolkit. 🌐 https://uniqueclub.ai | 📂 https://github.com/wulaosiji/skills