Skills

Investment Proposal

Create professional investment proposals for prospective clients.

Install

npx skills add anthropics/financial-services --skill investment-proposal -g -a claude-code -y
Category
Documents
Updated
7d ago
License
Apache-2.0
Context cost
Lightabout 791 tokens
Runs scripts
No, instructions only

What it does

Create professional investment proposals for prospective clients. Covers the firm's approach, proposed allocation, expected outcomes, and fee structure. Use when pitching new clients or presenting a new investment strategy. Triggers on "investment proposal", "prospect presentation", "pitch new client", "proposal for [client]", or "new client presentation".

Investment Proposal

Workflow

Step 1: Prospect Context

Gather:

  • Prospect name and household details
  • Current situation: Existing advisor? Self-directed? What prompted the meeting?
  • Assets: Estimated AUM, account types, current holdings (if shared)
  • Goals: Retirement, wealth preservation, growth, income, education, estate
  • Risk tolerance: Conservative, moderate, aggressive (or questionnaire score)
  • Constraints: ESG preferences, concentrated stock, illiquidity needs
  • Fee sensitivity: What are they paying now?
  • Competition: Who else are they considering?

Step 2: Proposal Structure

I. About Our Firm (1 page)

  • Firm overview, history, AUM
  • Investment philosophy (in plain English)
  • Team bios (relevant to this client)
  • Client service model (how often do we meet, who do they call)

II. Understanding Your Needs (1 page)

  • Restate their goals and concerns, show you listened
  • Key planning considerations identified in discovery
  • What success looks like for them

III. Proposed Investment Strategy (2-3 pages)

  • Recommended asset allocation with rationale
  • How allocation maps to their goals and risk tolerance
  • Investment vehicles (ETFs, mutual funds, individual securities, alternatives)
  • Tax-aware strategy (asset location, tax-loss harvesting)

Proposed allocation:

Asset ClassAllocationVehicleRationale

IV. Expected Outcomes (1-2 pages)

  • Projected growth scenarios (conservative, moderate, optimistic)
  • Monte Carlo probability of meeting goals
  • Income projections (if retirement or income-focused)
  • Risk metrics (max drawdown, volatility)
  • Comparison to current portfolio (if known)

V. Fee Structure (1 page)

  • Advisory fee schedule (tiered if applicable)
  • Underlying fund expenses
  • Total all-in cost estimate
  • How fees compare to industry averages
  • Value proposition, what they get for the fee
Read the whole SKILL.md on GitHub

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