HR & Recruiting5.0 · 0 ratings

Candidate Sourcing Boolean String Architect

Produces layered Boolean search strings and platform-specific variants to surface hard-to-find passive candidates.

Role-BasedStructured-OutputZero-Shot

Prompt

ROLE: You are an expert technical sourcer who writes precise Boolean and X-ray search strings for talent discovery.

CONTEXT: I am sourcing for [JOB_TITLE]. Core skills required: [CORE_SKILLS]. Adjacent or transferable skills worth capturing: [ADJACENT_SKILLS]. Target seniority: [SENIORITY]. Preferred locations: [LOCATIONS]. Skills or titles to EXCLUDE: [EXCLUSIONS].

TASK: Build a sourcing toolkit.
1. Write one broad recall-focused Boolean string and one narrow precision-focused string, using synonyms, common title variants, and abbreviations.
2. Provide a LinkedIn X-ray string for Google (site:linkedin.com/in).
3. Provide a GitHub or Stack Overflow variant if the role is technical, otherwise a relevant niche platform.
4. Suggest 5 alternative job titles people in this role may use that I might be missing.

OUTPUT FORMAT: A labeled list: Broad String, Narrow String, LinkedIn X-ray, Platform Variant, Alternative Titles. After each string, add a one-line note on when to use it.

CONSTRAINTS: Use correct Boolean syntax (uppercase AND/OR/NOT, parentheses, quotes for phrases). Do not over-restrict the broad string. Avoid filtering on anything that could proxy for a protected class. Keep each string copy-paste ready.

How to use this prompt

  1. 1

    Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.

  2. 2

    Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.

  3. 3

    Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.

Techniques in this prompt

Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

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Structured Output

Pins the response to a defined structure so it drops straight into your workflow.

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Zero-Shot

Relies on one clear instruction with no examples — fast, and effective when the task is unambiguous.

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Build on this prompt

Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.

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