GitHub Copilot Prompt for Summarizing a Meeting

GitHub Copilot, initially designed for code assistance, proves to be a formidable ally for business productivity tasks, particularly meeting summarization. Thanks to its ability to structure information, identify key points, and rephrase complex exchanges, Copilot turns raw notes or transcripts into actionable professional reports. Whether you use Copilot in VS Code, on 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 transcript or set of notes into a structured report with decisions, actions, and owners. You will also find variants tailored to your level of requirement, answers to frequent questions, and additional prompts to further enhance your productivity with GitHub Copilot.

The prompt

GitHub Copilot

Act as an expert executive assistant specializing in professional meeting minutes. From the transcript 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 essence of the meeting
Points discussed: for each topic, a sub-section with context, positions expressed, and conclusion
Decisions made: numbered list of validated decisions with their rationale
Actions to take: table with columns Action | Owner | Deadline | Priority (high/medium/low)
Open issues: unresolved topics requiring follow-up
Next meeting: date and preliminary agenda if mentioned

Rules: stay 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_TRANSCRIPT_OR_NOTES_HERE]

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Why it works

This prompt leverages the assigned role (executive assistant) to guide language register and formality level. The imposed structure in 7 sections forces Copilot to organize information comprehensively without missing anything. The instruction to flag ambiguities with [TO_CONFIRM] prevents hallucinations and ensures deliverable reliability.

Expected result

You get a professional report ready for distribution, with an executive summary for busy decision-makers, detailed discussions for traceability, and a clear action table with owners and deadlines. The document can be directly pasted into an email, team wiki, or project management tool.

Variants by level

FAQ

Can GitHub Copilot process an automatic audio transcript of a meeting?

Yes, Copilot handles transcripts from tools like Teams, Otter.ai, or Whisper quite well. However, these transcripts often contain errors (misspelled names, cut-off sentences). It is recommended to specify participants' names at the beginning of the prompt and add the instruction 'correct obvious transcription errors' for better results.

What is the maximum length of notes I can provide to Copilot?

The limit depends on the context available in your Copilot version. Generally, Copilot Chat accepts several thousand words. For very long meetings (over 60 minutes of transcript), split the transcript into thematic blocks and process them separately, then request a consolidated summary of the different blocks.

How can I ensure Copilot does not invent information not present in the notes?

The instruction 'stay factual and do not invent any information absent from the notes' in the main prompt is essential. Reinforce it by adding 'if information is ambiguous or missing, explicitly flag it rather than guessing'. Always review the generated report by cross-referencing it with your original notes, especially names, dates, and figures.

How to use this prompt

Copy the prompt with the button above.
Paste it into ChatGPT, Claude or your favorite AI assistant.
Replace the bracketed variables with your details, then refine the result.

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