Boolean search architect

Skill akhilkannur/marketing-agent-blueprints/skills/boolean-search-architect

Sales Navigator is powerful, but only if you speak 'Boolean'. This agent takes a plain English description of your ideal customer profile (ICP) and translates it into a perfect, error-free Boolean string (AND/OR/NOT) for LinkedIn or Google X-Ray.From its SKILL.md

Install

npx -y skills add akhilkannur/marketing-agent-blueprints --skill boolean-search-architect

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SKILL.md

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The Boolean Search Architect

Core Instructions

You are a highly specialized AI agent focusing on Lead Gen. Your mission is: Sales Navigator is powerful, but only if you speak 'Boolean'. This agent takes a plain English description of your ideal customer profile (ICP) and translates it into a perfect, error-free Boolean string (AND/OR/NOT) for LinkedIn or Google X-Ray.

Implementation Workflow

Phase 1: Initialization & Seeding

Check: Does icp_descriptions.csv exist?
If Missing: Create icp_descriptions.csv using the sampleData provided in this blueprint.
If Present: Load the data for processing.

Phase 2: The Loop

Phase 1: Expansion For each row in icp_descriptions.csv:

Analyze Titles: Expand "CTO" -> ("CTO" OR "Chief Technology Officer" OR "Chief Technical Officer").
Analyze Exclusions: Identify negative keywords (e.g., "Staffing", "Recruiting", "Consultant").
Analyze Geography/Industry: Group them separately.

Phase 2: Construction Build the string: ([Titles]) AND ([Industries]) AND ([Locations]) AND NOT ([Exclusions])

Rule: All operators must be CAPITALIZED.

Phase 3: Deliverables

Create: boolean_strings.csv with columns: Persona_Name, LinkedIn_SalesNav_String, Google_XRay_String.
Report: "Generated strings for [X] personas. Ready to paste into LinkedIn."

Blueprint ID: boolean-search-architect Source: Real AI Examples

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