Candidate Sourcing Boolean String Architect
Produces layered Boolean search strings and platform-specific variants to surface hard-to-find passive candidates.
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
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
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
Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.
Techniques in this prompt
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
Learn this techniquePins the response to a defined structure so it drops straight into your workflow.
Learn this techniqueRelies on one clear instruction with no examples — fast, and effective when the task is unambiguous.
Learn this techniqueRecommended models
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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