Agent skill · Content & Marketing

speaker-diarization

Advanced speaker diarization using pyannote-audio. Identify who speaks when, detect multiple speakers, handle overlapping speech, and create speaker-specific segments. Use when you need accurate speaker identification, multi-speaker content analysis, or speaker-specific clip extraction. More accurate than Gemini's built-in diarization for complex scenarios.

majiayu000github.com/majiayu000GitHub ↗
claude-coderead-onlyMIT
Install
npx skills add majiayu000/claude-skill-registry --skill speaker-diarization --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 9 KB
Bundled scripts: none
Version: 1.0
Allowed tools: Bash(ffmpeg:*)Bash(python:*)
Requires: Requires pyannote.audio, torch, and HuggingFace token. GPU optional but recommended.
Path: skills/ai-ml/speaker-diarization/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Speaker Diarization Advanced speaker diarization using **pyannote-audio** - state-of-the-art neural network models for speaker identification. ## When to Use **Use this skill when:** - Video has multiple speakers (podcasts, interviews, panels) - You need accurate speaker identification - Content has overlapping speech (people talking over each other) - You want speaker-specific clips - Gemini's diarization isn't accurate enough - Working with multi-language or mixed speakers **Don't use when:** - Single speaker content (use basic transcription instead) - Real-time processing needed (this is offline/batch) - Storage is limited (models require ~2GB) ## Why pyannote-audio? **Benchmarks (Diarization Error Rate - lower is better):** - **pyannote community-1**: 17.0% on AMI dataset - **Gemini/Whisper**: ~25-30% error rate - **35% accuracy improvement** over cloud APIs! **Advantages:** - ✅ **Local processing** - Privacy, no API costs - ✅ **Better accuracy** - State-of-the-art neural models - ✅ **Overlapping speech detection** - Identifies when people talk simultaneously - ✅ **Precise timestamps** - Millisecond-accurate speaker boundaries - ✅ **No internet required** - After initial mode

What's inside
Steps it walks through
  1. When to Use
  2. Why pyannote-audio?
  3. Available Scripts
  4. scripts/diarize.py
  5. scripts/extractspeakersegments.py
  6. scripts/analyzespeakerdynamics.py
  7. Setup
  8. 1. Install Dependencies
  9. 2. Get HuggingFace Token
  10. 3. Set Environment Variable
  11. How AI Agents Decide
  12. Integration with Other Skills
  13. Enhanced video-transcriber
  14. Enhanced highlight-scanner
Ships with 1 file
  • metadata.json
Commands it runs
python skills/speaker-diarization/scripts/diarize.py <video_path> [options]
export HUGGINGFACE_TOKEN="your-token"
python skills/speaker-diarization/scripts/diarize.py podcast.mp4
python skills/speaker-diarization/scripts/diarize.py interview.mp4 --min-speakers 2 --max-speakers 3
python skills/speaker-diarization/scripts/diarize.py panel.mp4 --output rttm
python skills/speaker-diarization/scripts/extract_speaker_segments.py <video_path> <diarization_json> [options]
python skills/speaker-diarization/scripts/extract_speaker_segments.py podcast.mp4 podcast_diarization.json
python skills/speaker-diarization/scripts/extract_speaker_segments.py podcast.mp4 podcast_diarization.json --speaker SPEAKER_00
python skills/speaker-diarization/scripts/extract_speaker_segments.py interview.mp4 diarization.json --context 3.0
python skills/speaker-diarization/scripts/analyze_speaker_dynamics.py <diarization_json> [options]
More from claude-skill-registry
All skills →
descriptive-statisticsSummarizing and visualizing data through measures of center, spread, shape, and position. Covers…Data & Analyticsperplexity-researcher-reasoning-proHighest level of research and reasoning capabilities for complex decision-making with significant…OtherretroBrutally honest engineering retrospective. Analyzes git history for what actually happened — not…Data & AnalyticsanalyzeUniversal multi-perspective analyzer for any topic, file, idea, or decision. Extract key points…Otherarize-prompt-optimizationINVOKE THIS SKILL when optimizing, improving, or debugging LLM prompts using production trace data…Data & Analyticscellxgene-contextGuide for integrating CellxGene Census single-cell data with ENCODE bulk experiments. Use when…Data & Analytics
About this skill
What does the speaker-diarization skill do?

Advanced speaker diarization using pyannote-audio. Identify who speaks when, detect multiple speakers, handle overlapping speech, and create speaker-specific segments. Use when you need accurate speaker identification, multi-speaker content analysis, or speaker-specific clip extraction. More accurate than Gemini's built-in diarization for complex scenarios.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill speaker-diarization --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going
All skills →
The full catalog, by category and by tool.
Open Source Radar →
The repositories these skills come from, watched daily.
The people behind them →
Makers and builders across the ecosystem.