🎧 spaces-listener

Version: 1.4.1

Record and transcribe X/Twitter Spaces — live or replays.

Zero API costs by default. Optional summaries use the OpenAI API.

Features

• 📥 Audio recording — Direct download via yt-dlp
• 📝 Auto-transcription — Local Whisper (no API key)
• 🧠 Auto-summarization — OpenAI summaries (optional)
• ⏺️ Live Spaces — Record in real-time as they happen
• 🔄 Replays — Download at full speed
• 💰 Free — No API costs, no rate limits

Installation

Prerequisites

brew install yt-dlp ffmpeg openai-whisper

Install the skill

# Clone to your skills directory
git clone https://github.com/jamesalmeida/spaces-listener.git ~/clawd/skills/spaces-listener

# Add to PATH (add to your .zshrc or .bashrc)
export PATH="$HOME/clawd/skills/spaces-listener/scripts:$PATH"

# Or create a symlink
ln -s ~/clawd/skills/spaces-listener/scripts/spaces /usr/local/bin/spaces

Usage

Basic

spaces listen "https://x.com/i/spaces/1ABC..."

Options

Flag	Description
--output, -o	Output directory (default: ~/Desktop)
--model	Whisper model: tiny/base/small/medium/large
--no-transcribe	Skip transcription
--no-summarize	Skip summarization

Examples

# Record a live Space
spaces listen "https://x.com/i/spaces/1ABC..."

# High-quality transcription
spaces listen "https://x.com/i/spaces/1ABC..." --model large

# Save to specific folder
spaces listen "https://x.com/i/spaces/1ABC..." -o ~/Spaces

# Summarize a transcript
spaces summarize ~/Desktop/space_transcript.txt

# Clean stale pid/meta files
spaces clean

Summaries require OPENAI_API_KEY

Transcription runs locally. To enable summaries, export your OpenAI key:

export OPENAI_API_KEY="sk-..."

Optional: set SPACES_SUMMARY_MODEL to override the summary model (default: gpt-4o-mini).

Output

Files saved to output directory:

• space_<username>_<date>.m4a — Audio
• space_<username>_<date>.txt — Transcript
• space_<username>_<date>_summary.txt — Summary (requires OPENAI_API_KEY)

Video Recording

Want video of the Space UI? Use QuickTime Player:

1. Install BlackHole for system audio capture:

   brew install blackhole-2ch

2. Set up Multi-Output Device in Audio MIDI Setup:

   • Open Audio MIDI Setup (in /Applications/Utilities)
   • Click + → Create Multi-Output Device
   • Check both your speakers AND BlackHole 2ch
   • Set this as your system output in Sound settings

3. Record with QuickTime:

   • File → New Screen Recording
   • Click dropdown arrow, select "BlackHole 2ch" for audio
   • Record your screen while the Space plays

Why isn't video automated? macOS requires Screen Recording permission granted to a proper .app bundle. CLI tools running as background services (like Clawdbot) can't easily get this permission. Audio-only mode works perfectly automated.

How It Works

┌─────────────┐     ┌─────────────┐     ┌─────────────┐
│   X Space   │────▶│   yt-dlp    │────▶│    .m4a     │
│    (URL)    │     │  (download) │     │   (audio)   │
└─────────────┘     └─────────────┘     └──────┬──────┘
                                               │
                                               ▼
                                        ┌─────────────┐
                                        │   Whisper   │
                                        │ (transcribe)│
                                        └──────┬──────┘
                                               │
                                               ▼
                                        ┌─────────────┐
                                        │    .txt     │
                                        │ (transcript)│
                                        └──────┬──────┘
                                               │
                                               ▼
                                        ┌─────────────┐
                                        │   OpenAI    │
                                        │ (summarize) │
                                        └──────┬──────┘
                                               │
                                               ▼
                                        ┌─────────────┐
                                        │ _summary.txt│
                                        └─────────────┘

Summary Examples

Speakers
- Host: @username
- Guest: @guest

Main Topics
- Product roadmap and timelines
- Community feedback and feature requests

Key Insights
- v2 release targeted for Q3
- Focus on stability over new features

Notable Moments
- "We are prioritizing reliability this year."

Whisper Models

Model	Speed	Accuracy	Download
tiny	⚡⚡⚡⚡	⭐	39 MB
base	⚡⚡⚡	⭐⭐	142 MB
small	⚡⚡	⭐⭐⭐	466 MB
medium	⚡	⭐⭐⭐⭐	1.5 GB
large	🐢	⭐⭐⭐⭐⭐	2.9 GB

First run downloads the model. Subsequent runs use the cached model.

License

MIT