Agent skill · writing content · aiskillstore
audio-transcriber
Transform audio recordings into professional Markdown documentation with intelligent summaries using LLM integration
Why this skill is useful
Adds executable scripts for automatic audio transcription and Markdown documentation generation that are not commonly found in public resources.
What it needs
Requires faster-whisper, ffmpeg, whisper installed locally. About 7k tokens when loaded. Last updated 2026-08-07. 405 stars on the source repository.
What this skill does
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 transcription engines without user configuration. Actions: Run detection commands to find installed tools: If no transcriber found: Offer automatic installation using the provided script: This ensures users can install dependencies with one confirmation, or opt for manual installation if preferred. If transcriber found: Proceed to Step 0b (CLI Detection). Step 1: Validate Audio File Objective: Verify file exists, check format, and extract metadata. Actions: 1. Accept file path or URL from user: Local file: meeting.mp3 URL: https://example.com/audio.mp3 (download to temp directory) 2. Verify file exists: 3. Extract metadata using ffprobe or file utilities: 4. Check file size (warn if large for cloud APIs): 5. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills aiskillstore/audio-transcriber