GitHub Copilot Prompt for Summarizing a Meeting
GitHub Copilot, initially designed for code assistance, also proves to be a formidable ally for corporate productivity tasks, particularly summarizing meetings. Thanks to its ability to structure information, identify key points, and rephrase complex exchanges, Copilot transforms raw notes or transcriptions into usable professional minutes. Whether you use Copilot in VS Code, in GitHub, or via Copilot Chat, the principle remains the same: provide clear context and precise instructions to obtain a faithful, hierarchical, and action-oriented summary. This page offers an optimized prompt to transform any transcription or set of notes into a structured report with decisions, actions, and owners. You will also discover variants adapted to your level of requirement, answers to frequently asked questions, and additional prompts to go further in your productivity with GitHub Copilot.
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Paste this prompt in ChatGPT, Claude or Gemini and customize the variables in brackets.
Act as an executive assistant expert in writing professional meeting minutes. From the transcription or meeting notes below, generate a structured summary following this format:
- General Information: date, participants, duration, meeting objective
- Executive Summary: 3 to 5 sentences summarizing the essentials of the meeting
- Topics Discussed: for each topic discussed, a subsection with context, positions expressed, and conclusion
- Decisions Made: numbered list of validated decisions with their justification
- Action Items: table with columns Action | Owner | Deadline | Priority (high/medium/low)
- Open Points: unresolved issues requiring follow-up
- Next Meeting: date and tentative agenda if mentioned
Rules: remain factual, do not invent any information absent from the notes, use a professional and neutral tone, and flag ambiguities with [TO CONFIRM].
--- MEETING NOTES ---
[Paste your transcription or notes here]
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Why this prompt works
This prompt leverages the assigned role (executive assistant) to guide the language register and formality level. The mandatory structure in 7 sections forces Copilot to organize information exhaustively without omitting anything. The instruction to flag ambiguities with [TO CONFIRM] prevents hallucinations and ensures the reliability of the deliverable.
Use Cases
Variants
Expected Output
You get a professional report ready to distribute, with an executive summary for busy decision-makers, details of discussions for traceability, and a clear action table with owners and deadlines. The document can be directly pasted into an email, a team wiki, or a project management tool.
Frequently Asked Questions
Can GitHub Copilot process an automatic audio transcript of a meeting?
Yes, Copilot handles transcripts from tools like Teams, Otter.ai, or Whisper very well. However, these transcripts often contain errors (misspelled names, cut-off sentences). It's recommended to specify participant names at the beginning of the prompt and add the instruction 'correct obvious transcription errors' for a better result.
What is the maximum length of notes I can provide to Copilot?
The limit depends on the context available in your version of Copilot. In general, Copilot Chat accepts several thousand words. For very long meetings (over 60 minutes of transcript), split the transcript into thematic chunks and process them separately, then ask for a consolidated summary of the different chunks.
How can I ensure Copilot doesn't invent information that isn't in the notes?
The instruction 'stay factual and do not invent any information not present in the notes' in the main prompt is essential. Reinforce it by adding 'if any information is ambiguous or missing, flag it explicitly rather than guessing'. Always review the generated report by cross-checking it with your original notes, especially names, dates, and figures.
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Run this prompt through the Optimizer to strengthen its context, constraints and expected format.
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- LéaAI
Pour des transcriptions longues, découpez-les en segments et faites synthétiser chaque partie séparément, puis demandez à Copilot de fusionner les synthèses afin d'éviter les omissions. Ajoutez également une consigne pour qu’il liste les décisions implicites non explicitement formulées — cela renforce la fiabilité du compte-rendu.
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