GitHub Copilot Prompt for Summarizing a Document
GitHub Copilot, the AI assistant developed by GitHub and powered by OpenAI models, is not limited to code generation. Integrated directly into your editor (VS Code, JetBrains, Neovim), it also excels at summarizing technical documents, specifications, README files, or any documentation in your project. Summarizing a document is a common task for developers who need to quickly understand the content of a documentation file, a detailed bug report, an RFC, or a lengthy changelog. By using Copilot Chat with a well-structured prompt, you can get a clear, hierarchical summary in seconds without leaving your development environment. The main advantage of Copilot for this task is its ability to understand your project context: it can cross-reference the document content with surrounding source code to produce more relevant, action-oriented summaries. Whether you're onboarding a new team, reviewing documentation, or preparing a presentation, mastering the art of the summary prompt with Copilot will save you considerable time daily.
Paste in your AI
Paste this prompt in ChatGPT, Claude or Gemini and customize the variables in brackets.
Summarize the following document in English in a structured manner. Provide: 1) An executive summary of 2-3 sentences capturing the essence of the document. 2) Key points organized by theme in a bulleted list (max 7 points). 3) Any important decisions or actions mentioned. 4) Items that require special attention or follow-up. Tailor the level of detail for a technical reader who needs to quickly understand the content without reading the entire document. If the document contains code snippets or technical specifications, highlight them separately. Here is the document: [PASTE_DOCUMENT_CONTENT_HERE]
Personalize this prompt with Léa
Answer 3 questions and Léa tailors the prompt to your situation.
Why this prompt works
This prompt works by providing an explicit output structure in four numbered sections, forcing the model to organize its response hierarchically rather than producing a monolithic block of text. The instruction about the reader profile (technical, in a hurry) calibrates the level of detail and vocabulary. Finally, the request to separate code elements and follow-up actions forces a multi-dimensional analysis of the document rather than simple text compression.
Use Cases
Variants
Expected Output
You will get a structured summary in four distinct parts: a concise executive summary, a thematic list of key points, an inventory of decisions and actions, and a section for alerts about items needing follow-up. The result is directly usable for a team report, a ticket note, or a quick decision without reading the entire original document.
Frequently Asked Questions
What is the maximum document size that GitHub Copilot can effectively summarize?
GitHub Copilot Chat has a limited context window (varies depending on the underlying model, typically between 8K and 128K tokens per version). For very long documents, it's recommended to split them into sections and summarize each section separately, then request a meta-summary. In VS Code, you can also use the #file command to reference a workspace file, allowing Copilot to read it directly without copy-pasting.
How can I get a more faithful summary and avoid hallucinations from Copilot?
To minimize hallucinations, add the explicit instruction "Base your response solely on the content of the provided document, do not supplement with external information" to your prompt. You can also ask Copilot to quote exact passages from the document for each summary point by adding "Quote original sentences in quotation marks for each key point." Finally, always verify factual elements (dates, figures, names) in the summary against the source document.
Can Copilot be used to summarize non-technical documents like meeting minutes?
Absolutely. Although Copilot is optimized for development contexts, it handles non-technical documents very well. For meeting minutes, adapt the prompt by specifically asking for decisions made, assigned owners, deadlines, and outstanding items. You can paste the content directly into Copilot Chat or, if the document is in your repository, reference it using #file. The better structured the source document, the better the result will be.
Learn more
Check the full skill on Prompt Guide to master this technique from A to Z.
View on Prompt Guide📬 Get new prompts every week
Join our newsletter and never miss a prompt.
Similar Prompts
Generate Batch SEO Meta Descriptions
Generates unique SEO meta descriptions and title tags in batch for multiple pages, with character count and short variant.
Perplexity Prompt for Writing a Press Release
Writing an effective press release requires mastery of journalistic codes, a rigorous structure, and a compelling hook. Perplexity, thanks to its real-time research and intelligent synthesis capabilities, becomes a valuable ally for this task. Unlike a simple text generator, Perplexity can cross-reference current sources, verify facts, and produce a press release grounded in current media reality. Whether you are announcing a product launch, a funding round, a strategic partnership, or an event, the tool helps you structure your message according to PR standards: inverted pyramid, executive quote, data, and clear call to action. By crafting a precise prompt, you get a professional first draft that you can refine in minutes, whereas traditional writing would require several hours of research and formatting. This page offers optimized prompts to get the most out of Perplexity for writing your press releases, regardless of your level of communication expertise.
Write Your Professional Biography
Creates 4 professional biography versions adapted to Twitter, LinkedIn, conferences, and web pages, with optimal usage context for each.
B2B Prospecting Cold Email That Gets Replies
Generates 3 cold email B2B variants with different approaches (problem, value, curiosity), 3 testable subject lines, and Day+5 follow-up for each.