audio-transcriber
Transcribe Audio to Markdown
Converts audio recordings into searchable text and generates professional meeting notes with AI-powered summaries using Claude or GitHub Copilot integration.
Download the skill ZIP
Upload in Claude
Go to Settings → Capabilities → Skills → Upload skill
Toggle on and start using
Test it
Using "audio-transcriber". meeting-recording.mp3
Expected outcome:
# Transcrição de Áudio
**Arquivo:** meeting-recording.mp3
**Idioma:** en
**Data:** 2024-01-15
---
## Transcrição Completa
**[00:00 → 00:15]** Welcome everyone to our quarterly planning meeting.
**[00:15 → 00:45]** Today we will discuss the roadmap for Q2 and assign tasks...
---
## Ata Gerada
**Resumo:** This quarterly planning meeting covered Q2 roadmap items including product launch timeline, resource allocation, and key milestones.
**Decisões:**
- Approved Q2 launch date of April 15th
- Team Alpha assigned to feature development
- Weekly sync meetings scheduled for Tuesdays
Using "audio-transcriber". lecture-audio.wav
Expected outcome:
# Transcrição de Áudio
**Arquivo:** lecture-audio.wav
**Idioma:** pt
**Data:** 2024-01-20
---
## Pontos-Chave
1. **Conceitos Fundamentais** - Explanation of core concepts
2. **Aplicações Práticas** - Real-world applications
3. **Próximos Passos** - Recommended follow-up activities
Security Audit
SafeStatic analysis flagged 266 potential issues, but evaluation reveals these are primarily false positives. The flagged patterns in documentation files (README.md, SKILL.md, CHANGELOG.md) represent code examples, not executable code. The actual Python script (transcribe.py) uses hardcoded CLI tool invocations for legitimate transcription purposes. No command injection vectors or malicious intent detected. This is a standard audio transcription utility.
Medium Risk Issues (1)
Low Risk Issues (2)
Risk Factors
⚙️ External commands (2)
📁 Filesystem access (2)
🌐 Network access
Quality Score
What You Can Build
Meeting Transcription
Automatically transcribe meeting recordings and generate professional meeting minutes with action items and decisions documented.
Podcast and Interview Notes
Convert podcast episodes or interview recordings into searchable text with AI-generated summaries for content creators.
Lecture and Course Transcription
Transform educational audio content into structured notes with key points extracted for study purposes.
Try These Prompts
Transcribe this audio file to text. Output the complete transcription in Markdown format.
Analyze this meeting transcription and create structured meeting minutes including: attendees, agenda topics discussed, key decisions made, and action items with owners.
Read this transcript and create a concise executive summary highlighting the main points, key takeaways, and any important announcements. Use bullet points for easy reading.
Extract all questions and answers from this interview or Q&A session. Format as a structured document with questions clearly separated from answers.
Best Practices
- Use high-quality audio recordings for better transcription accuracy - minimize background noise
- Start with the base Whisper model for fastest processing, upgrade to small or medium for improved accuracy
- Provide custom prompts to guide the LLM output toward your desired format (meeting notes, summaries, Q&A)
Avoid
- Do not expect perfect transcription of poor-quality audio with significant background noise
- Avoid processing very long files without chunking - may cause memory issues
- Do not skip the model download step if you want offline capability