Claude-skill-registry-data Meeting Transcription

Transcribe audio recordings from meetings (MP3, WAV, M4A) into text using AWS Transcribe service

install

source · Clone the upstream repo

git clone https://github.com/majiayu000/claude-skill-registry-data

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/majiayu000/claude-skill-registry-data "$T" && mkdir -p ~/.claude/skills && cp -r "$T/data/meeting-transcription" ~/.claude/skills/majiayu000-claude-skill-registry-data-meeting-transcription && rm -rf "$T"

manifest: data/meeting-transcription/SKILL.md

source content

Meeting Transcription Skill

This skill enables transcription of meeting audio files to text using AWS Transcribe.

When to Use This Skill

Use this skill when the user:

Provides an audio recording of a meeting
Asks to transcribe a meeting
Wants to analyze meeting content from an audio file
Mentions audio files with extensions like .mp3, .wav, .m4a, .mp4, .flac

How It Works

User provides path to an audio file
This skill calls the
```
transcribe_audio.py
```
script with optional language parameter
The script uploads audio to S3 and uses AWS Transcribe
Returns the full transcript as plain text with speaker labels (if applicable)
You (the agent) can then analyze the transcript

Usage

IMPORTANT: Always specify the language to get speaker labels (spk_0, spk_1).

# English meeting (default)
python transcribe_audio.py /path/to/audio.mp3

# Chinese meeting
python transcribe_audio.py /path/to/audio.mp3 --language zh-CN

# Other languages
python transcribe_audio.py /path/to/audio.mp3 --language es-ES

Supported Languages:

```
en-US
```
: English (US) - default
```
zh-CN
```
: Mandarin Chinese (Simplified)
```
zh-TW
```
: Traditional Chinese (Taiwan)
```
es-ES
```
: Spanish (Spain)
```
fr-FR
```
: French
```
de-DE
```
: German
```
ja-JP
```
: Japanese
```
ko-KR
```
: Korean

Speaker Labels: All transcriptions include speaker labels (spk_0, spk_1, spk_2, etc.) to identify different speakers in the conversation. You must know the language beforehand.

Supported Audio Formats

MP3
MP4
WAV
FLAC
M4A
OGG
WebM

Usage Example

When the user says: "Analyze my 1:1 meeting recording at ./recordings/meeting.mp3"

Use this skill to transcribe the audio first
Once you have the transcript, analyze it for insights
Provide actionable feedback to the user

What to Do After Transcription

After getting the transcript, analyze it for:

Key discussion topics: What were the main themes?
Action items: What tasks were assigned or agreed upon?
Speaking balance: Who spoke more? Is it balanced?
Questions: What questions were asked? Were they answered?
Communication patterns: Any interruptions, pauses, or unclear moments?
Tone and engagement: Is the conversation collaborative or one-sided?
Constructive feedback: What could be improved for next time?

Technical Details

Requires AWS credentials configured
Requires S3 bucket for temporary audio storage
Audio files are automatically cleaned up after transcription
Transcription job names are timestamped to avoid conflicts