audio-transcriber
Transform audio recordings into professional Markdown documentation with intelligent summaries using LLM integration
Profile →npx skills add sickn33/agentic-awesome-skills --skill audio-transcriber --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
## Purpose This skill automates audio-to-text transcription with professional Markdown output, extracting rich technical metadata (speakers, timestamps, language, file size, duration) and generating structured meeting minutes and executive summaries. It uses Faster-Whisper or Whisper with zero configuration, working universally across projects without hardcoded paths or API keys. Inspired by tools like Plaud, this skill transforms raw audio recordings into actionable documentation, making it ideal for meetings, interviews, lectures, and content analysis. ## When to Use Invoke this skill when: - User needs to transcribe audio/video files to text - User wants meeting minutes automatically generated from recordings - User requires speaker identification (diarization) in conversations - User needs subtitles/captions (SRT, VTT formats) - User wants executive summaries of long audio content - User asks variations of "transcribe this audio", "convert audio to text", "generate meeting notes from recording" - User has audio files in common formats (MP3, WAV, M4A, OGG, FLAC, WEBM) ## Workflow ### Step 0: Discovery (Auto-detect Transcription Tools) **Objective:** Identify available transcript
- Purpose
- When to Use
- Workflow
- Step 0: Discovery (Auto-detect Transcription Tools)
- Step 1: Validate Audio File
- Step 3: Generate Markdown Output
- Step 5: Display Results Summary
- Example Usage
- Example 1: Basic Transcription
- Example 3: Batch Processing
- Example 5: Large File Warning
- Limitations
Check for Faster-Whisper (preferred - 4-5x faster) if python3 -c "import faster_whisper" 2>/dev/null; then echo "✅ Faster-Whisper detected (optimized)" Fallback to original Whisper elif python3 -c "import whisper" 2>/dev/null; then echo "✅ OpenAI Whisper detected" else echo "⚠️ No transcription tool found" fi Check for ffmpeg (audio format conversion)
What does the audio-transcriber skill do?
Transform audio recordings into professional Markdown documentation with intelligent summaries using LLM integration
How do I install it?
Run `npx skills add sickn33/agentic-awesome-skills --skill audio-transcriber --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From sickn33/agentic-awesome-skills, a repository with 44,414 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.