GitHub Copilot Prompt for Writing a Job Offer
GitHub Copilot, the coding assistant developed by GitHub and OpenAI, goes beyond code generation. With its advanced completion and text generation capabilities, it becomes a valuable ally for crafting structured and compelling job offers directly from your code editor. Whether you are a technical recruiter, HR manager in a tech company, or startup founder, Copilot helps you produce clear, inclusive, and optimized listings 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 listings that speak directly to technical candidates. This prompt is designed to maximize the relevance of Copilot's suggestions by providing a structured framework and precise instructions on the expected format.
Paste in your AI
Paste this prompt in ChatGPT, Claude or Gemini and customize the variables in brackets.
// Generate a complete and professional job offer for the following position.
// Position: [JOB_TITLE]
// Company: [COMPANY_NAME]
// Industry: [INDUSTRY]
// 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, perspectives)
// 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 this prompt works
This prompt works effectively because it provides Copilot with a clear structure in six numbered sections, guiding generation toward a complete professional format. The inline comments act as contextual instructions that Copilot naturally interprets in its completion flow. By combining fill-in variables in brackets with explicit tone guidelines, the prompt reduces ambiguity and produces a coherent result from the first generation.
Use Cases
Variants
Expected Output
Copilot generates a complete and structured job offer in six sections, with an engaging hook, detailed responsibilities in 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 customizing the bracketed elements.
Frequently Asked Questions
How can I adapt the GitHub Copilot prompt for different types of roles (technical vs. non-technical)?
For a technical role, keep the tech stack mentioned and add details about architecture, development practices (code review, CI/CD, TDD), and technical challenges. For a non-technical role, replace the stack references with business tools used (CRM, project management tools) and place more emphasis on soft skills and cross-functional interactions. In both cases, Copilot will adapt to the vocabulary you introduce in the surrounding comments.
Can Copilot generate job postings compliant with French legal requirements?
Copilot produces a solid foundation, but manually checking for legal compliance is essential. In France, a job posting must notably include the publication date, be written in French, contain no discriminatory mentions (age, gender, origin), and comply with GDPR. Add a comment in your prompt specifying 'respect French labor law and legal publishing obligations' to guide the generation, then have the posting reviewed by your legal or HR department before publication.
What file format should I use in my editor to get the best results with Copilot?
Use a Markdown (.md) file to benefit from formatting (headings, lists, bold) while staying in a format Copilot handles perfectly. You can also work in a JavaScript or TypeScript file with template literals (backticks), as shown in the main prompt, which lets Copilot leverage your project's context. Avoid .docx or .pdf files, which Copilot cannot complete directly.
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- LéaAI
Pour un résultat moins générique, enrichissez les variables avec des précisions : missions concrètes, stack technique, taille de l’équipe, avantages spécifiques. Ajoutez aussi une ligne « points de différenciation » dans la structure. Si le poste est en remote, exigez une section dédiée sur le télétravail et le fuseau horaire.
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