Whisper Transcription Playbooks
SkillDev toolsUse this skill when the task involves speech-to-text, audio note transcription, or voice-to-text workflows.
Available today. Use it from your connected AI after setup.
No other account needed.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
Then ask your AI: use the Whisper Transcription Playbooks skill
About this skill
Self-hosted AI workspace where chat becomes visual workflows, multi-agent operations, and reviewable automations. Local memory; local or cloud models
What this skill tells your AI
The instructions your AI receives, as published by aaronnat23/disp8ch in optional-skills/whisper-transcription-playbooks/SKILL.md and read by ahel’s review.
Use this skill when the task involves speech-to-text, audio note transcription, or voice-to-text workflows.
Use when
- The user wants to turn audio or voice messages into reliable text.
- A voice workflow should be validated end to end before broader automation depends on it.
- The task needs guidance around transcript quality, timestamps, or follow-up summaries.
Workflow
- Confirm the audio source, language, and expected output format.
- Distinguish transcript generation from later summarization or action extraction.
- Call out quality risks early: noisy audio, speaker overlap, missing punctuation, or missing timestamps.
- Keep the first validation small so setup failures are easy to isolate.
- Return both the raw transcription outcome and any cleaned follow-up summary separately.
Deliverable
- Input assumptions.
- Transcription checklist.
- Quality risks.
- Suggested validation and follow-up summary shape.
Signals
- GitHub stars
- 100
- Forks
- 2
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
whisper-transcription-playbooks- Source
- github.com/aaronnat23/disp8ch