GitHub Copilot Prompt for Writing a Job Offer

GitHub Copilot, the coding assistant developed by GitHub and OpenAI, is not limited to code generation. Thanks to its advanced completion and text generation capabilities, it is a valuable ally for writing structured and compelling job offers directly from your code editor. Whether you are a technical recruiter, an HR manager in a tech company, or a startup founder, Copilot allows you to produce clear, inclusive, and optimized job ads in minutes. By working in a Markdown or text file, you can leverage your project's context to generate job descriptions consistent with your actual tech stack. The major advantage lies in Copilot's ability to adapt to the tone and vocabulary of your development environment, thus producing authentic offers that speak directly to technical candidates. This prompt was designed to maximize the relevance of Copilot's suggestions by providing a structured framework and precise instructions on the expected format.

The prompt

GitHub Copilot

// Generate a complete and professional job offer for the following position.
// Position: [JOB TITLE]
// Company: [COMPANY NAME]
// Sector: [INDUSTRY SECTOR]
// Contract type: [PERMANENT / FIXED-TERM / FREELANCE]
// Location: [CITY, COUNTRY OR REMOTE]
// Salary: [RANGE OR "DEPENDING ON PROFILE"]

// Expected structure:
// 1. Engaging hook (2-3 captivating sentences about the company and the mission)
// 2. Job description (main responsibilities as a list)
// 3. Desired profile (technical skills and soft skills)
// 4. What we offer (benefits, company culture, prospects)
// 5. Recruitment process (clear steps)
// 6. How to apply

// Instructions: use a professional but warm tone, inclusive writing, avoid unnecessary jargon, highlight company culture and growth opportunities.

const jobOffer = `

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Why it works

This prompt works effectively because it provides Copilot with a clear six-section numbered structure, which guides the generation toward a complete professional format. The inline comments act as contextual instructions that Copilot naturally interprets in its completion flow. By combining variables to fill in brackets and explicit tone instructions, the prompt reduces ambiguity and produces a coherent result from the first generation.

Expected result

Copilot generates a complete and structured job offer in six sections, with an engaging hook, detailed responsibilities as bullet points, a balanced desired profile between technical and human skills, and an attractive presentation of benefits. The text adopts a professional and inclusive tone, ready to be published on recruitment platforms after personalizing the elements in brackets.

Variants by level

FAQ

How to adapt the GitHub Copilot prompt for different types of positions (technical vs non-technical)?

For a technical position, keep the mention of the tech stack and add details about architecture, development practices (code review, CI/CD, TDD) and technical challenges. For a non-technical position, replace references to the tech stack with the business tools used (CRM, project management tools) and put more emphasis on soft skills and cross-functional interactions. In both cases, Copilot will adapt to the vocabulary you introduce in the contextual comments.

Can Copilot generate job offers that comply with French legal obligations?

Copilot produces a solid base, but it is essential to manually check legal compliance. In France, a job offer must notably mention the publication date, be written in French, contain no discriminatory mention (age, gender, origin) and comply with GDPR. Add a comment in your prompt specifying 'respect French labor law and legal publication obligations' to guide the generation, then have your legal or HR department review the offer before publication.

What file format should I use in my editor to get the best results with Copilot?

Use a Markdown file (.md) to benefit from formatting (headings, lists, bold) while staying in a format that Copilot masters perfectly. You can also work in a JavaScript or TypeScript file with template literals (backticks) as in the main prompt, which allows Copilot to leverage the context of your project. Avoid .docx or .pdf files that Copilot cannot directly complete.

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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