Morning Debrief Analyzer
Description
This prompt transcribes morning debrief audio recordings using OpenAI Whisper and analyzes the transcript to extract and organize key engineering ideas discussed. It creates a structured summary with
Installation
claude install-skill https://github.com/disler/agentic-drop-zones README
name: Morning Debrief allowed-tools: Bash, Read, Write description: Transcribe morning debrief audio and analyze for engineering ideas and priorities
Morning Debrief Analyzer
This prompt transcribes morning debrief audio recordings using OpenAI Whisper and analyzes the transcript to extract and organize key engineering ideas discussed. It creates a structured summary with the current date and quarter, identifies the top 3 priorities, lists all key ideas from the debrief, and generates novel extensions based on those ideas, and generates leading questions that can guide our work today with ideas for potential answers and next steps. Then it creates a transcript section with the full transcript of the debrief with every sentence as an individual item in a bulleted list. The output follows a clear hierarchical structure that makes it easy to reference during the workday. See the `Instructions` section for the detailed process. Output your results in a new markdown file with an alphanumeric + underscore name based on the original transcript file name.
Prerequisites
- undefined
Variables
AUDIO_FILE_PATH: [[FILE_PATH]]
DEBRIEF_OUTPUT_DIR: agentic_drop_zone/morning_debrief_zone/debrief_output/
Instructions
- undefined
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