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Prompt GitHub Copilot to Write a Cover Letter

GitHub Copilot, known primarily as a development assistant, also proves to be a formidable tool for writing professional documents such as cover letters. Thanks to its ability to understand context and generate structured text, Copilot can help you produce a compelling letter in minutes. Whether you are applying for a technical position or not, the AI guides you in articulating your skills, background, and motivation convincingly. Copilot's advantage lies in its fine understanding of text structures: it knows how to organize an argument, adapt the tone to the target sector, and highlight the key elements of your application. By providing a well-constructed prompt with relevant information — target position, company, skills, experiences — you get a personalized letter that far exceeds generic templates. This approach saves you considerable time while maintaining a professional quality level, allowing you to focus on final personalization rather than writing from scratch.

The prompt

GitHub Copilot

Write a professional cover letter for the position of [JOB_TITLE] at [COMPANY_NAME]. Here is my profile: I am [YOUR_PROFILE: DEGREE, YEARS OF EXPERIENCE, FIELD]. My key skills are: [LIST OF 3-5 SKILLS]. My most relevant experience: [BRIEFLY DESCRIBE A MAJOR ACHIEVEMENT WITH A QUANTIFIED RESULT]. What attracts me to this company: [SPECIFIC REASON RELATED TO THE COMPANY]. The letter must include a compelling hook, a paragraph on my background and skills related to the position, a paragraph showing my knowledge of the company and specific motivation, and a conclusion with a call to action for an interview. Adopt a professional yet authentic tone, avoid cliché phrases like 'dynamic and motivated', and prioritize concrete evidence over vague statements. The letter must fit on one page.

Personalize this prompt with Léa

Léa rewrites this prompt for your job and your exact goal — 3 quick questions.

Why it works

This prompt works thanks to the contextual role technique combined with precise structural instructions. By providing concrete data (numbers, skills, achievements), the generation is anchored in reality and generic content is avoided. The negative constraints ('avoid clichés') and the imposed structure (hook, background, motivation, conclusion) guide the model towards a professional and differentiating result.

Expected result

You get a cover letter structured in four parts, personalized with your real information and adapted to the target position. The tone is professional without being stiff, the arguments are supported by concrete evidence, and the letter respects the one-page format while standing out from generic applications.

Variants by level

FAQ

Can GitHub Copilot really write a professional-quality cover letter?
Yes, GitHub Copilot excels at generating structured text when given precise context. The key is to provide it with your real information (experiences, skills, quantified achievements) rather than asking it to invent. The result always requires proofreading and personal adjustments, but it provides a solid base that saves you 70 to 80% of writing time. Think of Copilot as a smart first draft that you then refine.
How can I customize the generated letter so it doesn't look like a template letter?
Three strategies work particularly well: first, include very specific details about the company in your prompt (a recent project, a value that resonates with you, an article you've read). Second, mention a unique anecdote or quantified result from your background. Third, ask Copilot to rewrite by specifying the desired tone (e.g., 'tone of a pragmatic engineer' rather than just 'professional'). The more specific your inputs, the more unique and authentic the output will be.
Should I use Copilot in a code editor or can I use it via Copilot Chat?
Both approaches work. Copilot Chat (integrated into VS Code or on github.com) is the most convenient for this type of task: you paste your prompt directly into the chat window and get the letter back. You can then iterate by requesting modifications ('shorten the second paragraph', 'strengthen the hook', 'adapt the tone for a startup'). The advantage of chat is the ability to dialogue to refine the result until complete satisfaction.

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How to use this prompt

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

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