plugins/startup-business-analyst/skills/startup-financial-modeling/SKILL.md
Build comprehensive 3-5 year financial models with revenue projections, cost structures, cash flow analysis, and scenario planning for early-stage startups. Use this skill when creating financial projections, calculating burn rate or runway, modeling fundraising scenarios, or preparing investor-ready financials for a seed or Series A raise.
npx skillsauth add wshobson/agents startup-financial-modelingInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
Build comprehensive 3-5 year financial models with revenue projections, cost structures, cash flow analysis, and scenario planning for early-stage startups.
Financial modeling provides the quantitative foundation for startup strategy, fundraising, and operational planning. Create realistic projections using cohort-based revenue modeling, detailed cost structures, and scenario analysis to support decision-making and investor presentations.
Cohort-Based Projections: Build revenue from customer acquisition and retention by cohort.
Formula:
MRR = Σ (Cohort Size × Retention Rate × ARPU)
ARR = MRR × 12
Key Inputs:
Operating Expenses Categories:
Cost of Goods Sold (COGS)
Sales & Marketing (S&M)
Research & Development (R&D)
General & Administrative (G&A)
Components:
Formula:
Runway = Current Cash Balance / Monthly Burn Rate
Monthly Burn = Monthly Revenue - Monthly Expenses
Role-Based Hiring Plan: Track headcount by department and role.
Key Metrics:
Typical Ratios (Early-Stage SaaS):
Conservative Scenario (P10):
Base Scenario (P50):
Optimistic Scenario (P90):
Detailed Projections: 3 Years
High-Level Projections: Years 4-5
Originally a 2763-byte section in this SKILL.md. Moved to references/details.md to fit Codex's 8 KB skill body cap.
Revenue Drivers:
Key Ratios:
Example Projection:
Year 1: $500K ARR, 50 customers, $100K MRR by Dec
Year 2: $2.5M ARR, 200 customers, $208K MRR by Dec
Year 3: $8M ARR, 600 customers, $667K MRR by Dec
Revenue Drivers:
Key Ratios:
Example Projection:
Year 1: $5M GMV, 15% take rate = $750K revenue
Year 2: $20M GMV, 15% take rate = $3M revenue
Year 3: $60M GMV, 15% take rate = $9M revenue
Revenue Drivers:
Key Ratios:
Revenue Drivers:
Key Ratios:
Pre-Money Valuation: Based on metrics and comparables.
Dilution:
Post-Money = Pre-Money + Investment
Dilution % = Investment / Post-Money
Use of Funds: Allocate funding to extend runway and achieve milestones.
Example:
Raise: $5M at $20M pre-money
Post-Money: $25M
Dilution: 20%
Use of Funds:
- Product Development: $2M (40%)
- Sales & Marketing: $2M (40%)
- G&A and Operations: $0.5M (10%)
- Working Capital: $0.5M (10%)
Identify Key Milestones:
Funding Amount: Ensure runway to achieve next milestone + 6 months buffer.
Pitfall 1: Overly Optimistic Revenue
Pitfall 2: Underestimating Costs
Pitfall 3: Ignoring Cash Flow Timing
Pitfall 4: Static Headcount
Pitfall 5: Not Scenario Planning
Sanity Checks:
Benchmark Against Peers: Compare key metrics to similar companies at similar stage.
Investor Feedback: Share model with advisors or investors for feedback on assumptions.
To create a startup financial model:
tools
Install and operate Hermes Tweet, a Hermes Agent plugin for X/Twitter research, timeline reading, tweet analysis, and approval-gated private or state-changing operations. Use this skill when installing Hermes Tweet, researching X/Twitter accounts, monitoring launch signals, investigating mentions, auditing giveaways, or preparing gated X operations. Use proactively when a Hermes Agent workflow needs current X/Twitter context. Requires XQUIK_API_KEY for read and action tools.
testing
Audit and rewrite prose so it stops reading as machine-generated. Use this skill when asked to remove AI-isms, clean up AI writing, edit a draft for AI tells, audit a README, changelog, release note, PR description, or blog post for machine-sounding prose, or make text sound less like AI. Supports a detect-only mode, a rewrite mode, and an edit-in-place mode, with optional voice and context profiles.
development
Python design patterns including KISS, Separation of Concerns, Single Responsibility, and composition over inheritance. Use this skill when designing a new service or component from scratch and choosing how to layer responsibilities, when refactoring a God class or monolithic function that has grown too large, when deciding whether to add a new abstraction or live with duplication, when evaluating a pull request for structural issues like tight coupling or leaking internal types, when choosing between inheritance and composition for a new class hierarchy, or when a codebase is becoming hard to test because of entangled I/O and business logic.
development
This skill should be used when the user asks to "optimize a prompt", "improve prompt performance", "design a prompt template", "write better prompts", "debug prompt issues", "use chain-of-thought", "structured prompting", "few-shot prompting", or wants to apply advanced prompt engineering patterns for production LLM applications.