Agent skill · research science · personamanagmentlayer
insurance-expert
Expert-level insurance systems, underwriting, claims processing, actuarial analysis, risk assessment, and insurtech solutions. Use when the user mentions underwriting, claims, actuarial, risk, or insurtech, or when the task involves Insurance Systems, Insurance Types, Standards and Regulations, or Claims Processing.
Why this skill is useful
Provides domain-specific knowledge on insurance systems, underwriting processes, and actuarial analysis that the AI wouldn't reliably generate on its own.
What it needs
About 5k tokens when loaded. Last updated 2026-03-30. 41 stars on the source repository.
What this skill does
Insurance Expert Expert guidance for insurance systems, underwriting, claims processing, actuarial analysis, risk assessment, fraud detection, and modern insurtech solutions. Core Concepts Insurance Systems Policy Administration Systems (PAS) Claims Management Systems Underwriting workstations Actuarial modeling systems Reinsurance management Agency management systems Document management Insurance Types Property & Casualty (P&C) Life insurance Health insurance Auto insurance Commercial insurance Specialty insurance Cyber insurance Standards and Regulations ACORD standards (insurance data exchange) SOX compliance State insurance regulations NAIC (National Association of Insurance Commissioners) GDPR for customer data Anti-money laundering (AML) Claims Management System Actuarial Analysis Best Practices Underwriting Use consistent risk assessment criteria Implement automated underwriting for simple cases Maintain underwriting guidelines documentation Use predictive analytics for risk scoring Conduct regular portfolio reviews Segment risks appropriately Monitor loss ratios by segment Claims Processing Provide 24/7 claim reporting Assign adjusters quickly Set appropriate reserves Communicate regularly with claimants Implement fraud detection Track claim cycle time Use photos and video for inspections Fraud Prevention Screen all claims for fraud indicators Use predictive analytics Maintain Special Investigation Unit (SIU) Share fraud data industry-wide Train staff on fraud detection Implement identity verification Monitor for organized fraud rings Compliance Maintain state licensing Follow NAIC model laws Implement proper data privacy controls Conduct regular compliance audits Maintain required reserves File timely regulatory reports Follow fair claims practices Anti-Patterns ❌ Manual underwriting for all policies ❌ No fraud detection system ❌ Slow claims processing ❌ Inadequate loss reserves ❌ Poor customer communication ❌ No data analytics ❌ Ignoring regulatory changes …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills personamanagmentlayer/insurance-expert