Agent Skills: Transcribe and Analyze

Transcribe and Analyze

Local transcription of audio/video content using WhisperKit. Analysis is available on request using OpenAI or local Ollama.

Capabilities

1. Transcription - Convert audio/video URLs to text using WhisperKit (runs locally, always available)
2. Analysis - Extract insights from transcripts (only when user asks for it, supports OpenAI or Ollama)

Quick Start

Transcribe Only

python3 scripts/transcribe.py "https://youtube.com/watch?v=..."

Transcribe + Analyze (OpenAI)

python3 scripts/transcribe.py "https://youtube.com/watch?v=..."
python3 scripts/analyze_transcript.py whisper-transcriptions/video.md

Transcribe + Analyze (Local)

python3 scripts/transcribe.py "https://youtube.com/watch?v=..."
python3 scripts/analyze_transcript.py whisper-transcriptions/video.md --local

Transcription

Script Options

# Basic
python3 scripts/transcribe.py "URL"

# Custom output directory
python3 scripts/transcribe.py "URL" --output-dir "/path/to/save"

# Higher accuracy (slower)
python3 scripts/transcribe.py "URL" --model medium

# Without timestamps
python3 scripts/transcribe.py "URL" --no-timestamps

# Custom filename
python3 scripts/transcribe.py "URL" --filename "my-transcription.md"

Whisper Models

| Model | Speed | Accuracy | Use Case | |-------|-------|----------|----------| | tiny | Fastest | Lowest | Quick drafts, testing | | base | Fast | Reasonable | Simple content | | small | Balanced | Good | Default - most use cases | | medium | Slower | High | Lectures, important content | | large | Slowest | Highest | Critical accuracy needed |

Dependencies

• yt-dlp - pip install yt-dlp or brew install yt-dlp
• whisperkit-cli - https://github.com/argmaxinc/WhisperKit

Script checks for these and provides install instructions if missing.

Output

Transcriptions save to ./whisper-transcriptions/ as markdown:

# Transcription

**Source:** https://youtube.com/watch?v=example
**Transcribed:** 2025-01-15 14:30:00
**Tool:** WhisperKit

---

[00:00:00.000 --> 00:00:05.000] Welcome to this video...

Analysis

Provider Options

OpenAI API (default):

python3 scripts/analyze_transcript.py transcript.md
python3 scripts/analyze_transcript.py transcript.md --model gpt-4o

Requires OPENAI_API_KEY environment variable.

Local Ollama:

python3 scripts/analyze_transcript.py transcript.md --local
python3 scripts/analyze_transcript.py transcript.md --local --model mistral

Requires Ollama running (ollama serve).

Script Options

# Default comprehensive analysis (OpenAI)
python3 scripts/analyze_transcript.py transcript.md

# Use local Ollama
python3 scripts/analyze_transcript.py transcript.md --local

# Specify model
python3 scripts/analyze_transcript.py transcript.md --model gpt-4o
python3 scripts/analyze_transcript.py transcript.md --local --model llama3.2

# Custom analysis prompt
python3 scripts/analyze_transcript.py transcript.md --prompt "List all tools mentioned"

# Custom output location
python3 scripts/analyze_transcript.py transcript.md --output ~/Documents/analysis.md

# Print to stdout instead of saving
python3 scripts/analyze_transcript.py transcript.md --print

Default Analysis Includes

• Executive summary (2-3 paragraphs)
• Key insights (5-7 bullet points)
• Topics discussed with summaries
• Notable quotes (3-5 memorable quotes)
• Action items and recommendations
• Additional observations

Custom Prompt Examples

--prompt "List all technologies and tools mentioned"
--prompt "What are the main arguments presented?"
--prompt "Extract all statistics and data points"
--prompt "Summarize in 5 bullet points"
--prompt "What questions were asked and how were they answered?"

Dependencies

• openai - pip install openai (used for both OpenAI and Ollama)
• OPENAI_API_KEY environment variable (for OpenAI only)
• Ollama running locally (for --local mode)

Output

Analysis saves alongside transcript as transcript_name_analysis.md:

# Transcript Analysis

**Source Transcript:** path/to/transcript.md
**Analysis Model:** gpt-4o-mini (OpenAI)
**Tokens Used:** 33,763

---

[Analysis content]

Common Workflows

Full Pipeline: URL to Insights (Cloud)

python3 scripts/transcribe.py "https://youtube.com/watch?v=abc123"
python3 scripts/analyze_transcript.py whisper-transcriptions/watch.md

Full Pipeline: URL to Insights (Local)

python3 scripts/transcribe.py "https://youtube.com/watch?v=abc123"
python3 scripts/analyze_transcript.py whisper-transcriptions/watch.md --local

Multiple Analyses on Same Transcript

python3 scripts/analyze_transcript.py transcript.md --output summary.md
python3 scripts/analyze_transcript.py transcript.md --prompt "List action items" --output actions.md
python3 scripts/analyze_transcript.py transcript.md --prompt "Extract quotes" --output quotes.md

Batch Transcription

python3 scripts/transcribe.py "URL1"
python3 scripts/transcribe.py "URL2"
python3 scripts/transcribe.py "URL3"

Reference Files

Troubleshooting (references/troubleshooting.md)

• Download failures
• Transcription errors
• Dependency issues
• API errors

Configuration (references/configuration.md)

• Output format details
• File naming behavior
• Model selection guidance

Usage Patterns (references/usage-patterns.md)

• Common transcription scenarios
• Analysis patterns
• Batch processing tips

Scripts

| Script | Purpose | |--------|---------| | scripts/transcribe.py | Download and transcribe audio/video from URLs (WhisperKit) | | scripts/analyze_transcript.py | AI analysis of transcript files (OpenAI or Ollama) |