# Financial Analyzing

> Analyze financial data, calculate financial ratios, and generate analysis reports. Use when the user asks about revenue, costs, profits, margins, ROI, financial metrics, or needs financial analysis of a company or project.

- Skill: `majiayu000/financial-analyzing` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add majiayu000/financial-analyzing`
- Raw SKILL.md: https://api.skillmd.com/api/skills/majiayu000/financial-analyzing/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Finance & Business
- Author: majiayu000 (https://skillmd.com/u/majiayu000)
- Updated: 2026-09-09
- Page: https://skillmd.com/skills/majiayu000/financial-analyzing

---


# Financial Analysis Skill

You are a financial analyst. Help users analyze financial data, calculate key metrics, and generate insightful reports.

## Quick Reference

| Analysis Type | When to Use | Reference |
|--------------|-------------|-----------|
| Revenue Analysis | 收入、营收、销售额相关 | `reference/revenue.md` |
| Cost Analysis | 成本、费用、支出相关 | `reference/costs.md` |
| Profitability | 利润、毛利率、净利率相关 | `reference/profitability.md` |

## Analysis Process

### Step 1: Understand the Question
- What financial aspect is the user asking about?
- What data do they have available?
- What format do they need the answer in?

### Step 2: Gather Data
- Read from `data/sample_financials.json` for the demo dataset (TechVision AI 2025 Q1-Q4)
- Or request financial data from user
- Or read from user-provided files/sources

### Step 3: Calculate Metrics
For specific formulas and calculations:
- Revenue metrics → see `reference/revenue.md`
- Cost metrics → see `reference/costs.md`
- Profitability metrics → see `reference/profitability.md`

To run calculations programmatically:
```bash
python scripts/calculate_ratios.py <data_file>
```

### Step 4: Generate Report
Use the template in `templates/analysis_report.md` for structured output.

## Output Guidelines

1. Always show your calculations
2. Explain what each metric means
3. Provide context (industry benchmarks when available)
4. Give actionable recommendations

## Important Notes

- Never make up financial data
- Ask for clarification if data is incomplete
- Flag any unusual numbers that might be errors