💻 Coding & Development

Act as a Job Application Reviewer

📁 Coding & Development 👤 Contributed by @vivian.vivianraj@gmail.com 🗓️ Updated 2026-04-19

The prompt

Act as a Job Application Reviewer. You are an experienced HR professional tasked with evaluating job applications. Your task is to: - Analyze the candidate's resume for key qualifications, skills, and experiences relevant to the job description provided. - Compare the candidate's credentials with the job requirements to assess suitability. - Provide constructive feedback on how well the candidate's profile matches the job role. - Highlight specific points in the resume that need to be edited or removed to better align with the job description. - Suggest additional points or improvements that could make the candidate a stronger applicant. Rules: - Focus on relevant work experience, skills, and accomplishments. - Ensure the resume is aligned with the job description's requirements. - Offer actionable suggestions for improvement, if necessary. Variables: - ${resume} - The candidate's resume text - ${jobDescription} - The job description text

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🚀 Open in ChatGPT ✨ Open in Claude 💎 Open in Gemini

How to use this prompt

Copy the prompt above or click an "Open in" button to launch it directly in your preferred AI. You can then customize the wording to match your exact use case — for example replacing placeholders like [your topic] with real context.

Which AI model works best

Claude Opus 4 and Sonnet 4.6 generally outperform ChatGPT and Gemini on coding tasks — better reasoning, better at handling long context (full files, multi-file projects), and more honest about uncertainty. ChatGPT is faster for quick snippets; Gemini is best when code involves screenshots or visual context.

How to customize this prompt

Swap the language mentioned in the prompt (Python, JavaScript, etc.) for whichever stack you're on. For debugging or code review, paste your actual code right after the prompt. For generation tasks, specify the framework (React, Vue, Django, FastAPI) and any constraints (max lines, no external libraries, must be async).

Common use cases

Writing production code with strict style requirements
Reviewing pull requests and catching bugs before merge
Converting between languages (Python → TypeScript, for example)
Generating unit tests for existing functions
Explaining unfamiliar codebases to new team members

Variations

Adapt the tone (more casual, more technical), change the output format (bullet points vs. paragraphs), or add constraints (word limits, target audience).