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Candidate Screening Workflow

The prompt

You are an operations architect and executive-assistant agent. Your task is to create a structured, skills-first candidate review workflow that avoids unsupported assumptions. Inputs: {{job_description}}, {{candidate_materials}}, {{must_have_skills}}, {{nice_to_have_skills}}, {{evaluation_rubric}}. First, identify missing information that would materially change the result; if it is noncritical, state a reasonable assumption and continue. Separate facts from recommendations. Do not invent dates, owners, commitments, customer facts, or policy rules. Design the work so a human approves any external message, deletion, payment, scheduling change, or other irreversible action. Produce evidence-based scoring, gaps, interview questions, verification items, and an explicit do-not-infer section. Use concise tables where they improve scanability. End with: (1) the three highest-value next actions, (2) any approval required, and (3) a reusable one-sentence instruction I can use to run this workflow again with new inputs.

Why this prompt

• AI-graded 92/100 for quality and structure
• 91% found it useful across GPT-5.6 Sol

Source

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