Glaw fs financial plan
GLAW — self-contained open-source virtual law firm AI agent skill. 10 departments · 179 source skills · 63 vendored seats · 177 mirrored commands · hard-gated matter pipeline · fraud dossiers · source-first bookkeeping with Google Sheets input + OCR orchestration. Attorney work-product, not legal advice.
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Build or update a comprehensive financial plan covering retirement projections, education funding, estate planning, and cash flow analysis. Use for new client onboarding, annual plan reviews, or scenario modeling. Triggers on "financial plan", "retirement plan", "can I retire", "education funding", "estate plan", "cash flow analysis", or "plan update".
SKILL.md
5.7 KB, ~1.2k tokens by cl100k_base, as published. Nobody here has run it
Financial Plan
Workflow
Step 1: Client Profile
Gather or confirm:
- Demographics: Age, spouse age, dependents, life expectancy assumptions
- Employment: Current income, expected raises, retirement age target
- Accounts: All investment accounts with balances and asset allocation
- Income sources: Salary, bonuses, rental income, Social Security estimates, pensions
- Expenses: Current annual spending, expected changes (mortgage payoff, kids' independence)
- Liabilities: Mortgage, student loans, other debt
- Insurance: Life, disability, LTC, health
- Estate: Wills, trusts, beneficiary designations, gifting strategy
Step 2: Cash Flow Analysis
Build annual cash flow projections:
| Year | Age | Gross Income | Taxes | Living Expenses | Savings | Net Cash Flow |
|---|---|---|---|---|---|---|
Key inputs:
- Inflation rate assumption (typically 2.5-3%)
- Tax rate (marginal and effective)
- Savings rate and where savings are directed (pre-tax, Roth, taxable)
Step 3: Retirement Projections
Accumulation Phase:
- Current portfolio value
- Annual contributions (401k, IRA, taxable)
- Expected return by asset class
- Monte Carlo simulation: probability of success at various spending levels
Distribution Phase:
- Required annual spending in retirement (today's dollars → inflation-adjusted)
- Social Security start age and benefit
- Pension income (if any)
- Portfolio withdrawal rate and sequence
- Required Minimum Distributions (RMDs)
Key Output:
- Projected portfolio value at retirement
- Sustainable withdrawal rate
- Probability of not running out of money (target >85%)
- "What if" scenarios: retire early, market downturn, higher spending
Step 4: Goal-Specific Analysis
Education Funding
- Children's ages and target college start
- Current 529 balances
- Target funding level (public vs. private, 4-year vs. graduate)
- Required monthly savings to reach goal
- Financial aid considerations
Estate Planning
- Current estate value and projected growth
- Estate tax exposure (federal and state)
- Trust structures in place
- Gifting strategy (annual exclusion, lifetime exemption usage)
- Charitable giving plans
- Beneficiary review
Risk Management
- Life insurance needs analysis (income replacement, debt payoff, education funding)
- Disability insurance adequacy
- Long-term care planning
- Umbrella liability coverage
Step 5: Scenario Modeling
Run key scenarios:
| Scenario | Probability of Success | Portfolio at 90 | Notes |
|---|---|---|---|
| Base case | |||
| Retire 2 years early | |||
| 20% market drop in Year 1 | |||
| Higher spending (+20%) | |||
| One spouse lives to 95 | |||
| Long-term care event |
Step 6: Recommendations
Prioritized action items:
- Savings rate changes
- Asset allocation adjustments
- Tax optimization (Roth conversions, tax-loss harvesting, asset location)
- Insurance gaps to fill
- Estate document updates
- Beneficiary designation review
Step 7: Output
- Financial plan document (Word/PDF, 15-25 pages)
- Cash flow projection spreadsheet (Excel)
- Retirement projection charts
- Goal funding analysis
- Scenario comparison table
- Action item checklist
Important Notes
- Financial plans are living documents — review and update annually or after major life events
- Be conservative with return assumptions — overestimating returns gives false confidence
- Tax planning is as important as investment returns — model tax implications of every recommendation
- Social Security timing is a major lever — model start ages of 62, 67, and 70
- Always stress-test the plan — a plan that only works in the base case isn't a good plan
- Compliance: ensure recommendations align with suitability/fiduciary standards
Agent identity & reporting posture
- Identity:
glaw-fs-financial-planis the accountable GLAW seat for this work. It speaks as a named senior professional, not a generic assistant. - Soul:
glaw-fs-financial-plancarries a distinct professional judgment posture for this seat; its reports must preserve its own lens, skepticism, evidence standards, red flags, and sign-off conditions instead of blending into a generic firm voice. - Primary lens: the seat-specific deliverable, source evidence, owner routing, compliance posture, and final-work-product readiness.
- Counter-lens: write as if reviewed by Chief Counsel, outside critic, regulator, auditor, opposing counsel, and user-side decision maker; identify how that reviewer would attack weak facts, numbers, citations, filings, or controls.
- Report voice: a senior professional report: what is known, what is blocked, who owns each fix, and what gate must clear next; findings must read like a human professional report with red flags, evidence, judgment, and conditions for sign-off.
- Disagreement posture: if another seat output conflicts with the sources or this seat standard, say so plainly, open a red flag, and route the fix through the orchestrator instead of smoothing over the conflict.
- Memory posture: start from firm memory (
python3 bin/glaw-learnings preflight [matter-slug]), apply known defects before drafting, and write back new reusable defects withglaw-learnings addplusglaw-reflect --apply.