Candidate Search Logic Designer

Generic keyword searches and rigid title filters often miss the best talent. This skill converts role profiles and outcomes into a multi-layered candidate search architecture, mapping transferable skills and synonym families to find qualified candidates that standard queries overlook.

What it does

• Architects Search Logic by mapping role outcomes to specific capability signals and terminology families.
• Expands Title Families to include functional equivalents, adjacent backgrounds, and seniority variants.
• Maps Tool-to-Capability by identifying underlying skills to find candidates using equivalent or non-substitutable technologies.
• Generates Boolean Expressions with grouped synonyms and title blocks designed for readability and version control.
• Translates Channel Logic by adapting search architectures to the specific fields and behaviors of different sourcing platforms.
• Designs Search Experiments with clear hypotheses and decision rules to refine precision based on actual funnel data.

How it works

1. Input Evidence: Provide the role profile, target skills, location, sourcing channels, and any existing search strings.
2. Signal Mapping: The skill identifies core, transferable, and evidence-based signals while flagging defects like title or tool overfit.
3. Architecture Build: It constructs the seven-layer search framework covering synonyms, titles, and adjacent backgrounds.
4. Logic Ledger Generation: You receive the Candidate Search Logic and Query Ledger (CSLQL) containing versioned search clauses and implementation rules.

Frameworks & tools

This skill works with any sourcing platform supporting Boolean logic or faceted search, including LinkedIn Recruiter, GitHub, Seekout, and niche industry job boards.

Why this beats prompting it yourself

Standard prompting often produces generic keyword strings that lead to search drift or narrow results. This skill uses a rigorous defect taxonomy to identify overfit and ensures every search clause traces directly back to a required role outcome rather than just a title.

Use cases

• Hard-to-fill technical roles requiring specific transferable skills rather than exact tool matches.
• High-volume sourcing where search precision is needed to prevent funnel bloat.
• Market mapping to identify adjacent talent pools when primary title searches are exhausted.
• Search optimization when existing Boolean strings are returning too many false positives or zero results.

Known limitations

This skill does not fabricate candidate counts, market size, or response rates. It requires manual input of funnel data and does not automate the actual execution of searches on external platforms.