openai-whisper
Local Whisper: audio transcription, multi-language, word timestamps, speaker diarization
npx skills add majiayu000/claude-skill-registry --skill openai-whisper-alphaonedev-openclaw-graph --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
## Purpose This skill enables local audio transcription using the OpenAI Whisper model, processing files directly on the device for privacy and speed. It's ideal for converting speech to text with features like multi-language support, word-level timestamps, and speaker diarization. ## When to Use Use this skill for tasks involving local audio files, such as transcribing interviews, podcasts, or meetings, when you need offline processing to avoid network dependencies or data privacy concerns. Apply it in workflows requiring accurate timestamps or speaker identification, like content creation or analysis. ## Key Capabilities - **Transcription**: Converts audio to text in over 90 languages; specify language via `--language` flag (e.g., `--language en` for English). - **Timestamps**: Outputs word-level timings; enable with `--word-level` for detailed segments (e.g., each word's start/end in seconds). - **Speaker Diarization**: Identifies speakers in audio; requires additional setup like Pyannote library; use `--diarize` flag if configured. - **Multi-Format Support**: Handles input formats like MP3, WAV, or FLAC; outputs JSON or SRT for easy parsing. - **Model Selection**: Choose from m
- Purpose
- When to Use
- Key Capabilities
- Usage Patterns
- Common Commands/API
- Integration Notes
- Error Handling
- Graph Relationships
What does the openai-whisper skill do?
Local Whisper: audio transcription, multi-language, word timestamps, speaker diarization
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill openai-whisper-alphaonedev-openclaw-graph --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.
