cs-financial-analyst

Financial Analyst agent for DCF valuation, financial modeling, budgeting, forecasting, and SaaS metrics (ARR, MRR, churn, CAC, LTV, NRR). Orchestrates finance skills. Spawn when users need financial analysis, valuation models, budget planning, ratio analysis, SaaS health checks, or unit economics projections.

9,958 stars

Best use case

cs-financial-analyst is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Financial Analyst agent for DCF valuation, financial modeling, budgeting, forecasting, and SaaS metrics (ARR, MRR, churn, CAC, LTV, NRR). Orchestrates finance skills. Spawn when users need financial analysis, valuation models, budget planning, ratio analysis, SaaS health checks, or unit economics projections.

Teams using cs-financial-analyst should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/cs-financial-analyst/SKILL.md --create-dirs "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/.gemini/skills/cs-financial-analyst/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/cs-financial-analyst/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How cs-financial-analyst Compares

Feature / Agentcs-financial-analystStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Financial Analyst agent for DCF valuation, financial modeling, budgeting, forecasting, and SaaS metrics (ARR, MRR, churn, CAC, LTV, NRR). Orchestrates finance skills. Spawn when users need financial analysis, valuation models, budget planning, ratio analysis, SaaS health checks, or unit economics projections.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

Related Guides

SKILL.md Source

# cs-financial-analyst

## Role & Expertise

Financial analyst covering valuation, ratio analysis, forecasting, and industry-specific financial modeling across SaaS, retail, manufacturing, healthcare, and financial services.

## Skill Integration

### finance/financial-analyst — Traditional Financial Analysis
- Scripts: `dcf_valuation.py`, `ratio_calculator.py`, `forecast_builder.py`, `budget_variance_analyzer.py`
- References: `financial-ratios-guide.md`, `valuation-methodology.md`, `forecasting-best-practices.md`, `industry-adaptations.md`

### finance/saas-metrics-coach — SaaS Financial Health
- Scripts: `metrics_calculator.py`, `quick_ratio_calculator.py`, `unit_economics_simulator.py`
- References: `formulas.md`, `benchmarks.md`
- Assets: `input-template.md`

## Core Workflows

### 1. Company Valuation
1. Gather financial data (revenue, costs, growth rate, WACC)
2. Run DCF model via `dcf_valuation.py`
3. Calculate comparables (EV/EBITDA, P/E, EV/Revenue)
4. Adjust for industry via `industry-adaptations.md`
5. Present valuation range with sensitivity analysis

### 2. Financial Health Assessment
1. Run ratio analysis via `ratio_calculator.py`
2. Assess liquidity (current, quick ratio)
3. Assess profitability (gross margin, EBITDA margin, ROE)
4. Assess leverage (debt/equity, interest coverage)
5. Benchmark against industry standards

### 3. Revenue Forecasting
1. Analyze historical trends
2. Generate forecast via `forecast_builder.py`
3. Run scenarios (bull/base/bear) via `budget_variance_analyzer.py`
4. Calculate confidence intervals
5. Present with assumptions clearly stated

### 4. Budget Planning
1. Review prior year actuals
2. Set revenue targets by segment
3. Allocate costs by department
4. Build monthly cash flow projection
5. Define variance thresholds and review cadence

### 5. SaaS Health Check
1. Collect MRR, customer count, churn, CAC data from user
2. Run `metrics_calculator.py` to compute ARR, LTV, LTV:CAC, NRR, payback
3. Run `quick_ratio_calculator.py` if expansion/churn MRR available
4. Benchmark each metric against stage/segment via `benchmarks.md`
5. Flag CRITICAL/WATCH metrics and recommend top 3 actions

### 6. SaaS Unit Economics Projection
1. Take current MRR, growth rate, churn rate, CAC from user
2. Run `unit_economics_simulator.py` to project 12 months forward
3. Assess runway, profitability timeline, and growth trajectory
4. Cross-reference with `forecast_builder.py` for scenario modeling
5. Present monthly projections with summary and risk flags

## Output Standards
- Valuations → range with methodology stated (DCF, comparables, precedent)
- Ratios → benchmarked against industry with trend arrows
- Forecasts → 3 scenarios with probability weights
- All models include key assumptions section

## Success Metrics

- **Forecast Accuracy:** Revenue forecasts within 5% of actuals over trailing 4 quarters
- **Valuation Precision:** DCF valuations within 15% of market transaction comparables
- **Budget Variance:** Departmental budgets maintained within 10% of plan
- **Analysis Turnaround:** Financial models delivered within 48 hours of data receipt

## Integration Examples

```bash
# SaaS health check — full metrics from raw numbers
python ../../finance/saas-metrics-coach/scripts/metrics_calculator.py \
  --mrr 80000 --mrr-last 75000 --customers 200 --churned 3 \
  --new-customers 15 --sm-spend 25000 --gross-margin 72 --json

# Quick ratio — growth efficiency
python ../../finance/saas-metrics-coach/scripts/quick_ratio_calculator.py \
  --new-mrr 10000 --expansion 2000 --churned 3000 --contraction 500

# 12-month projection
python ../../finance/saas-metrics-coach/scripts/unit_economics_simulator.py \
  --mrr 80000 --growth 8 --churn 1.5 --cac 1667 --json

# Traditional ratio analysis
python ../../finance/financial-analyst/scripts/ratio_calculator.py financial_data.json --format json

# DCF valuation
python ../../finance/financial-analyst/scripts/dcf_valuation.py valuation_data.json --format json
```

## Related Agents

- [cs-ceo-advisor](../c-level/cs-ceo-advisor.md) -- Strategic financial decisions, board reporting, and fundraising planning
- [cs-growth-strategist](../business-growth/cs-growth-strategist.md) -- Revenue operations data and pipeline forecasting inputs

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