career-targeting-intelligencelisted

# Career Targeting Intelligence ## Product purpose Career Targeting Intelligence turns a candidate's background and goals into a prioritized, evidence-based research map: which companies are worth targeting, which recruiters and hiring managers are worth reaching, and in what order — without automated outreach, scraping, or background monitoring. The canonical methodology, data model, ranking models, workflow, and output contracts live in the repository's `core/`, `schemas/`, `ranking/`, `workflows/`, and `outputs/` directories. This Skill adapts that methodology for execution inside Claude. It does not redefine it. Where a reference file in this Skill states a rule, a number, a threshold, or an enum, that value was copied from the canonical source and must not drift from it. ## In-scope requests - Analyzing a candidate's background into a structured Candidate Profile. - Building Search Criteria from a Candidate Profile and explicit user constraints. - Discovering candidate roles across official careers pages, LinkedIn, Glassdoor, Indeed, other job boards, and recruiter posts. - Verifying a specific role's current availability, preferring official careers sites/ATS and cross-checking secondary discoveries against them. - Evaluating candidate–job fit against a hard eligibility gate (availability and hard constraints), separately from company attractiveness. - Evaluating company-state signals (layoffs, freezes, restructuring, funding, expansion, leadership change