Startup Financial Modeling

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by wshobson · vlatest · Repository

Generate startup financial models including projections, cap tables, and fundraising scenarios based on provided assumptions.

Install on your platform

We auto-selected Claude Code based on this skill’s supported platforms.

1

Run in terminal (recommended)

terminal
claude mcp add startup-financial-modeling npx -- -y @trustedskills/startup-financial-modeling
2

Or manually add to ~/.claude/settings.json

~/.claude/settings.json
{
  "mcpServers": {
    "startup-financial-modeling": {
      "command": "npx",
      "args": [
        "-y",
        "@trustedskills/startup-financial-modeling"
      ]
    }
  }
}

Requires Claude Code (claude CLI). Run claude --version to verify your install.

About This Skill

What it does

The startup-financial-modeling skill enables AI agents to build and analyze financial models tailored for startups. It supports forecasting revenue, calculating break-even points, projecting cash flow, and evaluating key performance indicators (KPIs) relevant to early-stage businesses.

When to use it

  • Preparing a pitch deck for investors by including detailed financial projections.
  • Estimating the viability of a new business idea based on market size and cost assumptions.
  • Planning budget allocations and fundraising needs for the next fiscal quarter.

Key capabilities

  • Revenue forecasting based on user-defined growth rates and market assumptions.
  • Break-even analysis to determine when a startup becomes profitable.
  • Cash flow projection across multiple time horizons (e.g., 12, 24, or 36 months).
  • Integration with common financial metrics like CAC, LTV, and burn rate.

Example prompts

  • "Build a 3-year financial model for a SaaS startup with $500K in initial funding and 20% monthly growth."
  • "Calculate the break-even point for a new e-commerce business with fixed costs of $10,000/month and variable costs at 40% of revenue."
  • "Project cash flow for a hardware startup over the next 18 months, assuming $2M in Series A funding and 15% monthly sales growth."

Tips & gotchas

  • Ensure input data is realistic and aligned with industry benchmarks to avoid overly optimistic projections.
  • This skill assumes basic financial knowledge; complex modeling may require manual adjustments or additional tools.

Tags

🛡️

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Details

Version
vlatest
License
Author
wshobson
Installs
2.7k

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Passed automated security scans.