Investment Proposal logo

Investment Proposal

OrganizationPopular
anthropics
investment-proposal

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".

Overview

Publisheranthropics
Repositoryfinancial-services
Skill nameinvestment-proposal
Stars
38.4K
Forks
5.5K
Bundled files
Instructions only
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by anthropics on GitHub. Read the source before you install it.

Installation

Install the Investment Proposal AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/anthropics/financial-services/tree/main/plugins/agent-plugins/meeting-prep-agent/skills/investment-proposal
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/anthropics/financial-services.git /tmp/financial-services
mkdir -p .claude/skills
cp -r /tmp/financial-services/plugins/agent-plugins/meeting-prep-agent/skills/investment-proposal .claude/skills/investment-proposal
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Investment Proposal in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Investment Proposal on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Investment Proposal is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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

VI. Getting Started (1 page)

  • Account opening process
  • Asset transfer timeline
  • Transition plan (if moving from another advisor)
  • First 90 days — what to expect
  • Required documents and next steps

Step 3: Customization

  • Match the tone to the prospect (corporate executive vs. small business owner vs. retiree)
  • If they have a concentrated stock position, address it directly
  • If they're comparing you to robo-advisors, emphasize the planning and relationship value
  • If they're price-sensitive, lead with total value and outcomes, not just fees

Step 4: Output

  • PowerPoint presentation (12-15 slides) with firm branding
  • PDF leave-behind version
  • One-page summary for follow-up email

Important Notes

  • The proposal should feel personalized, not templated — reference their specific situation
  • Don't oversell performance — set realistic expectations and emphasize process
  • Always include disclaimers (projections are hypothetical, past performance, etc.)
  • The transition plan matters — clients fear the disruption of switching advisors
  • Follow up within 48 hours with the proposal and a clear next step
  • Compliance must review before presenting to prospects

Frequently asked questions

What does the Investment Proposal AI skill do?

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".

Why use Investment Proposal on TypingMind?

Because you install it once and use it with any model. Investment Proposal is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Investment Proposal in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/anthropics/financial-services/tree/main/plugins/agent-plugins/meeting-prep-agent/skills/investment-proposal. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Investment Proposal?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Investment Proposal?

As many as you like. As long as a model supports skills, you can use Investment Proposal with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Investment Proposal AI skill free?

Yes. It is published on GitHub by anthropics under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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