insurance-actuary

Automate actuarial pricing, reserving, and risk modeling for insurance products.

6|Updated May 20, 2026
One-click install
npx skills add https://github.com/vignesh2027/Claude-Agentic-Skills2.0-version --skill insurance-actuary
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: insurance-actuary
Source: https://github.com/vignesh2027/Claude-Agentic-Skills2.0-version/tree/main/insurance-actuary
Command: npx skills add https://github.com/vignesh2027/Claude-Agentic-Skills2.0-version --skill insurance-actuary

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps actuarial teams automate pricing, reserving, and risk modeling for insurance products, reducing manual calculation time and improving accuracy.

Core Features & Use Cases

  • Premium calculation including pure premium and gross premium formulas
  • Loss ratio analysis and monitoring with target metrics
  • IBNR reserve estimation using development triangles and chain-ladder methods
  • Reinsurance design and attachment point analysis
  • Fraud detection signals based on claims patterns

Quick Start

Provide your loss data and policy terms, then ask InsuranceActuary to compute pricing and reserves.

Frequently Asked Questions about insurance-actuary

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I calculate IBNR reserves using loss development triangles?

IBNR reserves are calculated using loss development triangles and chain-ladder methods to project ultimate claim costs. You provide historical loss data structured as triangles, and the system outputs the estimated reserves.

What is the process for actuarial pricing and premium calculation?

Actuarial pricing computes pure premium and gross premium formulas using exposure units and policy terms. You provide exposure data and policy structures to receive accurate premium calculation outputs.

Can I analyze loss ratios and detect fraud signals across policy structures?

Yes, loss ratio analysis monitors target metrics while evaluating claims patterns for fraud detection signals. This processes your policy structures to identify anomalies and calculate ratio outputs.

How do I perform reinsurance design and attachment point analysis?

Reinsurance design evaluates policy terms to determine attachment points and structure optimal coverage. You input policy terms and exposure data to receive reinsurance design and attachment point analysis outputs.

What data formats do I need for actuarial risk modeling and sensitivity analyses?

Actuarial risk modeling requires structured inputs including loss data, exposure units, and policy terms. You supply these structured inputs to generate sensitivity analyses and standard actuarial outputs.