finance-retirement

Project retirement nest egg growth and shortfalls across multiple market scenarios.

49|16|Updated May 12, 2026
One-click install
npx skills add https://github.com/zubair-trabzada/ai-finance-claude --skill finance-retirement
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: finance-retirement
Source: https://github.com/zubair-trabzada/ai-finance-claude/tree/main/skills/finance-retirement
Command: npx skills add https://github.com/zubair-trabzada/ai-finance-claude --skill finance-retirement

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Retirement planning requires evaluating whether current savings, spending plans, and timing of benefits will support a desired lifestyle; this Skill provides a structured framework to project future wealth, identify gaps, and produce actionable guidance.

Core Features & Use Cases

  • Monte Carlo retirement projection across multiple scenarios (conservative, moderate, aggressive) to quantify risk and probability of success.
  • Nest egg sizing and gap analysis using 25x rule and inflation-adjusted targets.
  • Social Security optimization and withdrawal sequencing to minimize taxes and sequence risk.
  • Professionally formatted outputs including a PDF-like report for client-ready planning.

Quick Start

Provide your current age, target retirement age, current assets, annual spending, expected raises, and Social Security assumptions to run a retirement readiness projection.

Frequently Asked Questions about finance-retirement

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

FAQPage Schema
How does Monte Carlo retirement projection estimate my nest egg survival?

Monte Carlo retirement projection estimates nest egg survival by simulating thousands of market return scenarios across conservative, moderate, and aggressive paths. It projects portfolio growth and identifies potential shortfalls to calculate your probability of success.

What information do I need to run a retirement readiness forecast?

To run a retirement readiness forecast, you need your current age, target retirement age, current assets, annual spending, expected raises, and Social Security assumptions. These inputs drive the Monte Carlo analysis and glidepath recommendations.

Can I evaluate different Social Security claiming ages and withdrawal sequences?

Yes, you can evaluate different Social Security claiming ages and withdrawal sequences. The framework models tax-optimized withdrawal ordering to minimize taxes and sequence risk across your projected retirement scenarios.

What is the 25x rule and how does it apply to inflation-adjusted targets?

The 25x rule estimates retirement readiness by targeting a nest egg 25 times your annual spending. This Skill applies the 25x rule with inflation-adjusted targets to perform gap analysis between your projected assets and desired lifestyle.

Does this retirement planning approach generate client-ready reports?

Yes, this retirement planning approach generates professionally formatted, PDF-like outputs for client-ready planning. These reports detail your Monte Carlo projections, glidepath recommendations, and tax-optimized withdrawal strategies.