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Financial Scenario Planner

Community
travisjneuman
financial-scenario-planner

Stress-test financial plans across scenarios (bull/bear/base), sensitivity tables, and Monte Carlo-style analysis. Use when evaluating financial assumptions, modeling risk scenarios, or building scenario-based financial plans.

Overview

Publishertravisjneuman
Repository.claude
Skill namefinancial-scenario-planner
Stars
98
Forks
22
Bundled files
Instructions only
LicenseMIT
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 travisjneuman on GitHub. Read the source before you install it.

Installation

Install the Financial Scenario Planner 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.
  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/travisjneuman/.claude.git /tmp/.claude
mkdir -p .claude/skills
cp -r /tmp/.claude/skills/financial-scenario-planner .claude/skills/financial-scenario-planner
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Financial Scenario Planner 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 Financial Scenario Planner 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 Financial Scenario Planner 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.

Financial Scenario Planner

Frameworks for building multi-scenario financial models, stress testing assumptions, sensitivity analysis, and probability-weighted financial planning.

Scenario Analysis Framework

Three-Scenario Model

SCENARIO PLANNING TEMPLATE:

                    BEAR CASE        BASE CASE        BULL CASE
                    (Pessimistic)    (Expected)       (Optimistic)
Probability:        20-25%           50-60%           20-25%

REVENUE ASSUMPTIONS:
  Growth rate:      [X%]             [X%]             [X%]
  New customers:    [N]              [N]              [N]
  Churn rate:       [X%]             [X%]             [X%]
  ARPU change:      [X%]             [X%]             [X%]
  Market size:      [$ ]             [$ ]             [$ ]

COST ASSUMPTIONS:
  COGS margin:      [X%]             [X%]             [X%]
  Headcount growth: [N]              [N]              [N]
  Salary inflation: [X%]             [X%]             [X%]
  Marketing spend:  [$ ]             [$ ]             [$ ]
  Capex:            [$ ]             [$ ]             [$ ]

EXTERNAL FACTORS:
  Interest rates:   [X%]             [X%]             [X%]
  Inflation:        [X%]             [X%]             [X%]
  FX rates:         [X ]             [X ]             [X ]
  Regulatory:       [Impact]         [Impact]         [Impact]

PROJECTED OUTCOMES:
  Revenue:          [$ ]             [$ ]             [$ ]
  EBITDA:           [$ ]             [$ ]             [$ ]
  Net income:       [$ ]             [$ ]             [$ ]
  Cash position:    [$ ]             [$ ]             [$ ]
  Runway (months):  [N]              [N]              [N]

EXPECTED VALUE:
  E[Revenue] = P(bear) x Rev(bear) + P(base) x Rev(base) + P(bull) x Rev(bull)

Scenario Trigger Events

Scenario DriverBear TriggerBase AssumptionBull Trigger
Market demandRecession, -15%Steady growth, +5%Market expansion, +20%
CompetitionNew entrant takes 20% shareStable competitionCompetitor exits market
RegulationRestrictive new regulationStatus quoDeregulation/favorable policy
TechnologyDisruption makes product obsoleteIncremental improvementBreakthrough advantage
FundingCannot raise next roundRaise at expected termsOversubscribed round
Key personnelLose critical team membersNormal retentionKey strategic hires

Sensitivity Analysis

One-Variable Sensitivity Table

REVENUE SENSITIVITY TO PRICE CHANGE:

Price Change:     -20%    -10%    Base    +10%    +20%
Volume Impact:    +10%    +5%     Base    -3%     -8%
Revenue:          [$ ]    [$ ]    [$ ]    [$ ]    [$ ]
Gross Profit:     [$ ]    [$ ]    [$ ]    [$ ]    [$ ]
Net Income:       [$ ]    [$ ]    [$ ]    [$ ]    [$ ]

Two-Variable Sensitivity (Tornado Chart Data)

TORNADO CHART DATA — NET INCOME SENSITIVITY:

Variable            | Low Value | High Value | Low Impact  | High Impact
Revenue growth      | 5%        | 25%        | -$500K      | +$800K
Customer churn      | 8%        | 2%         | -$400K      | +$300K
COGS margin         | 45%       | 35%        | -$350K      | +$350K
Headcount           | +15       | +5         | -$300K      | +$200K
Interest rates      | 7%        | 4%         | -$150K      | +$100K
FX rates            | -10%      | +5%        | -$120K      | +$60K

INTERPRETATION:
  - Revenue growth has the highest impact on outcomes
  - Focus risk mitigation on top 3 variables
  - Variables below $100K impact are noise

Break-Even Analysis

BREAK-EVEN CALCULATOR:

FIXED COSTS (Monthly):
  Salaries:           $______
  Rent/facilities:    $______
  SaaS/tools:         $______
  Insurance:          $______
  Other fixed:        $______
  TOTAL FIXED:        $______

VARIABLE COSTS (per unit):
  COGS:               $______
  Commission:         $______
  Payment processing: $______
  Support cost:       $______
  TOTAL VARIABLE:     $______

PRICING:
  Average selling price: $______
  Contribution margin:   $______ (price - variable cost)
  Contribution %:        _____%

BREAK-EVEN:
  Units:  Fixed costs / Contribution margin = _____ units
  Revenue: Fixed costs / Contribution % = $______

MONTHS TO BREAK-EVEN:
  At current growth rate: _____ months
  At optimistic rate:     _____ months
  At pessimistic rate:    _____ months

Monte Carlo Simulation Design

Simulation Framework

MONTE CARLO SETUP:

STEP 1: IDENTIFY VARIABLES
  List all uncertain inputs that affect the outcome.
  For each variable, define:
    - Distribution type (normal, uniform, triangular, lognormal)
    - Parameters (mean, std dev, min, max)

STEP 2: DEFINE DISTRIBUTIONS
  Revenue growth:   Normal(mean=15%, std=5%)
  Customer churn:   Triangular(min=2%, mode=5%, max=12%)
  COGS margin:      Uniform(min=30%, max=45%)
  Headcount growth: Discrete([5, 8, 10, 12, 15], probs=[0.1, 0.2, 0.4, 0.2, 0.1])

STEP 3: RUN SIMULATIONS
  Iterations: 10,000 (minimum for stable results)
  For each iteration:
    1. Sample random value from each distribution
    2. Calculate outcome (revenue, profit, cash flow)
    3. Store result

STEP 4: ANALYZE RESULTS
  Mean outcome:           $______
  Median outcome:         $______
  Standard deviation:     $______
  5th percentile (VaR):   $______ (worst 5% of outcomes)
  95th percentile:        $______ (best 5% of outcomes)
  Probability of loss:    _____%
  Probability of target:  _____%

STEP 5: INTERPRET
  "There is a 90% probability that net income will fall between
   $______ and $______, with an expected value of $______."

Distribution Selection Guide

Variable TypeRecommended DistributionParametersWhen to Use
Growth rateNormalMean, Std DevSymmetric uncertainty
Market sizeLognormalMean, Std DevRight-skewed, can't be negative
Project costTriangularMin, Mode, MaxExpert estimates with bounds
Binary eventsBernoulliProbabilityWill/won't happen (regulation, deal)
Time to eventExponentialRateCustomer lifetime, time to churn
CountsPoissonRateNumber of events in a period

Cash Flow Stress Testing

Runway Calculator

CASH RUNWAY ANALYSIS:

Current cash:           $______
Monthly burn rate:      $______
Monthly revenue:        $______
Net monthly cash flow:  $______ (revenue - burn)

SCENARIO RUNWAYS:
  Current trajectory:   ______ months
  If revenue drops 20%: ______ months
  If revenue drops 50%: ______ months
  If revenue goes to 0: ______ months (pure burn runway)

TRIGGER POINTS:
  6-month runway remaining: Begin fundraise / cut costs
  3-month runway remaining: Emergency cost reduction
  1-month runway remaining: Wind-down planning

COST REDUCTION LEVERS (by impact):
  Lever                    | Monthly Savings | Feasibility
  Freeze hiring            | $______         | High
  Reduce marketing 50%     | $______         | Medium
  Renegotiate vendor terms  | $______         | Medium
  Reduce headcount 10%     | $______         | Low (last resort)
  Eliminate office space    | $______         | Medium

Personal Finance Stress Test

PERSONAL FINANCIAL STRESS TEST:

INCOME SCENARIOS:
  Current income:          $______/month
  Reduced income (-20%):   $______/month
  Job loss (0 income):     $______/month
  Disability (partial):    $______/month

FIXED OBLIGATIONS:
  Housing (mortgage/rent): $______
  Insurance premiums:      $______
  Debt payments:           $______
  Utilities:               $______
  TOTAL FIXED:             $______

EMERGENCY RESERVES:
  Liquid savings:          $______
  Investment (accessible): $______
  Credit available:        $______
  TOTAL RESERVES:          $______

SURVIVAL METRICS:
  Months covered (fixed only):     ______
  Months covered (full spending):  ______
  Months if income drops 20%:      ______

  Target: 6+ months of full spending coverage

WHAT-IF ANALYSIS:
  "If [EVENT] happens, I can sustain for [N] months
   by cutting [EXPENSES] and drawing on [RESERVES]."

Scenario Planning Process

Workshop Format

SCENARIO PLANNING WORKSHOP:

PHASE 1: IDENTIFY UNCERTAINTIES (30 min)
  - List all factors that could impact the plan
  - Rate each: Impact (1-5) x Uncertainty (1-5)
  - Select top 2 with highest combined score
  - These become the axes of your scenario matrix

PHASE 2: BUILD SCENARIOS (45 min)
  Using the 2x2 matrix:

            Factor A: Low          Factor A: High
  Factor B:
  High      Scenario 1:            Scenario 2:
            [Name and narrative]    [Name and narrative]

  Factor B:
  Low       Scenario 3:            Scenario 4:
            [Name and narrative]    [Name and narrative]

PHASE 3: MODEL FINANCIALS (60 min)
  For each scenario:
  - Revenue projection (12-36 months)
  - Cost structure changes
  - Cash flow impact
  - Key metrics (CAC, LTV, margins)

PHASE 4: DEVELOP STRATEGIES (45 min)
  For each scenario:
  - What would we do differently?
  - What early warning signals would we see?
  - What decisions should we make now?
  - What options should we preserve?

PHASE 5: ACTION PLAN (30 min)
  - "No regret" moves (good in all scenarios)
  - Contingency triggers and responses
  - Monitoring dashboard design
  - Review cadence (quarterly recommended)

Reporting Templates

Scenario Summary for Stakeholders

FINANCIAL SCENARIO SUMMARY

Period: [Timeframe]
Prepared: [Date]
Author: [Name]

EXECUTIVE SUMMARY:
  [2-3 sentences: key finding and recommended action]

SCENARIO OUTCOMES:
                    Bear        Base        Bull
  Revenue:          $____       $____       $____
  EBITDA:           $____       $____       $____
  Cash (end):       $____       $____       $____
  Probability:      ____%       ____%       ____%
  Expected Value:   $____ (probability-weighted)

KEY RISKS:
  1. [Risk] — Impact: $____ — Mitigation: [Action]
  2. [Risk] — Impact: $____ — Mitigation: [Action]
  3. [Risk] — Impact: $____ — Mitigation: [Action]

RECOMMENDED ACTIONS:
  1. [No-regret move that's good in all scenarios]
  2. [Contingency to prepare now]
  3. [Decision to make by specific date]

MONITORING:
  KPI                  | Current | Trigger (Action Needed)
  Monthly revenue      | $____   | Below $____
  Cash runway          | ___ mo  | Below 6 months
  Customer churn       | ____%   | Above ____%

See Also

Frequently asked questions

What does the Financial Scenario Planner AI skill do?

Stress-test financial plans across scenarios (bull/bear/base), sensitivity tables, and Monte Carlo-style analysis. Use when evaluating financial assumptions, modeling risk scenarios, or building scenario-based financial plans.

Why use Financial Scenario Planner on TypingMind?

Because you install it once and use it with any model. Financial Scenario Planner 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 Financial Scenario Planner in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/travisjneuman/.claude/tree/master/skills/financial-scenario-planner. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Financial Scenario Planner?

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 Financial Scenario Planner?

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

Is the Financial Scenario Planner AI skill free?

Yes. It is published on GitHub by travisjneuman under the MIT 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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