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Morning Debrief Analyzer

Development community intermediate

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

Terminal
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

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Variables

AUDIO_FILE_PATH: [[FILE_PATH]] DEBRIEF_OUTPUT_DIR: agentic_drop_zone/morning_debrief_zone/debrief_output// DEBRIEF_ARCHIVE_DIR: DEBRIEF_OUTPUT_DIR/drop_zone_file_archive/

Instructions

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