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GitHub Copilot Prompt for Skill Assessment

GitHub Copilot, the AI coding assistant integrated into IDEs, can be repurposed from its usual code completion role into a powerful tool for technical skill assessment. By leveraging its ability to analyze code, generate exercises, and produce evaluation grids, technical managers, trainers, and recruiters can structure rigorous and reproducible assessment processes. Whether you want to audit the skills of an existing team, design a technical test for recruitment, or create a personalized upskilling path, Copilot helps you formalize objective criteria and generate assessment scenarios tailored to the target level. The key advantage lies in its deep knowledge of development best practices, design patterns, and industry standards, enabling it to produce assessments aligned with real market expectations. This prompt guides you in transforming Copilot into a structured evaluator capable of covering both pure technical skills and abilities in software architecture, code review, and problem-solving.

The prompt

GitHub Copilot

Act as an expert in technical skill assessment. I want to assess a developer's skills in the following domain: [TECHNOLOGY/LANGAGE]. The expected level is [JUNIOR/INTERMEDIATE/SENIOR]. Generate a complete evaluation grid including: 1) A list of 8 to 10 key skills to assess, categorized (fundamentals, best practices, architecture, tooling). 2) For each skill, define 4 mastery levels (not acquired, in acquisition, acquired, expert) with observable and concrete behavioral indicators. 3) Propose 3 practical exercises of increasing difficulty to validate these skills, each with: detailed statement, time allotted, measurable success criteria, and a sample reference solution with comments. 4) Add a 'red flags' section listing errors or anti-patterns that reveal a critical lack of mastery. Format the output in structured Markdown with tables for the evaluation grid.

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Why it works

This prompt works thanks to the expert role assignment that activates Copilot's specialized knowledge in technical pedagogy. The 4-point structure with specific deliverables (grid, levels, exercises, red flags) eliminates ambiguity and forces an exhaustive and actionable response. The request for observable and measurable criteria anchors the assessment in concreteness rather than subjectivity.

Expected result

You will get a complete Markdown document containing a tabular evaluation grid with 8 to 10 skills distributed across categories, each broken down into 4 mastery levels with precise indicators. The document will also include 3 progressive practical exercises with commented solutions, as well as a list of warning signs to quickly detect critical gaps.

Variants by level

FAQ

Can GitHub Copilot reliably assess skills?
Copilot does not replace the human judgment of an experienced evaluator, but it excels at structuring the evaluation process. It generates consistent grids, calibrated exercises, and objective criteria based on industry standards. Its main contribution is to eliminate biases related to improvisation by providing a reproducible framework. It is recommended to always have the generated grid validated by a domain expert before using it in real conditions, and to adjust the exercises to the specific context of your organization.
How can I adapt the generated exercises to my company's specific context?
Provide Copilot with as much context as possible in your prompt: describe your technical stack, coding conventions, architectural patterns, and the type of projects the developer will work on. You can also provide an excerpt from your actual codebase and ask it to create exercises based on similar scenarios. The richer the context, the more relevant and aligned the exercises will be with your operational expectations.
What is the best way to use the generated evaluation grid during a technical interview?
Use the grid as a structuring support, not as a rigid script. Start with practical exercises to observe the candidate in action, then use the grid to objectively score each skill. The behavioral indicators generated by Copilot serve as benchmarks to distinguish levels. Share the grid with all evaluators before the interview to ensure consistent scoring, and keep the completed grids to compare candidates on identical criteria.

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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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