voice-note-polisher将语音转录文本整理成目标格式的书面内容。凡是输入内容明显是口语化的——包括语音转录、口述笔记、随口说的想法、会议后的口头复盘——都应触发此 skill。支持的触发短语包括"帮我整理成…""帮我把接下来我说的话整理成…"，目标格式包括备忘录、任务清单、中文邮件回复、英文邮件回复、英文口语、消息草稿、公众号写作提纲。...
Install via ClawdBot CLI:
clawdbot install naplesblue/voice-note-polisherGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated May 9, 2026
A user records a voice memo after a meeting or brainstorming session. The skill takes the raw transcript, removes filler words, and outputs a clean, organized note or memo.
A busy professional speaks an email response idea. The skill converts it into a polished email in Chinese or English, ready to send without additional editing.
A team lead verbally lists action items during a meeting. The skill extracts each task, formats them as a TODO list with deadlines if mentioned, and returns a clear task list.
A writer records spontaneous ideas for an article. The skill transforms the unstructured thoughts into a structured outline with headline candidates and key points.
A non-native speaker jots down a thought in a mix of languages. The skill rewrites it as natural English speech, optionally providing a slightly more formal variant.
Offer a free tier with limited monthly polished notes (e.g., 50). Premium subscriptions unlock unlimited usage, priority processing, and team collaboration features.
License the skill as an API to other platforms (note-taking apps, email clients, project management tools). Charge per 1,000 API calls or a monthly flat fee based on volume.
Integrate with enterprise communication and productivity suites (Slack, Teams, Notion). Offer a premium add-on for organizations to streamline meeting follow-ups and task assignment.
💬 Integration Tip
Use the API to plug into existing transcription services (e.g., Otter.ai, AWS Transcribe) so users can seamlessly polish transcripts right after recording.
Scored May 9, 2026
Local speech-to-text with the Whisper CLI (no API key).
Transcribe audio files with speaker diarization (who speaks when). Supports 100+ languages, automatic language detection, and timestamps. Use for meetings, interviews, podcasts, or voice messages. Requires AssemblyAI API key.
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Transcribe long audio files safely on 16GB RAM machines using auto-chunking with Whisper’s base model and seamless transcript merging.
Use when the user has audio or video and wants a timestamped transcript (SRT) in the source language. Routes by source language — Chinese defaults to Volcano...