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03 Financial Skill

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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.

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  • Added September 6, 2026
ai-agentspythonbash

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Scanned September 6, 2026

npx -y skills add huangjia2019/claude-code-engineering --skill 03-financial-skill --agent claude-code

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SKILL.md
---
name: financial-analyzing
description: 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.
allowed-tools:
  - Read
  - Grep
  - Glob
  - Bash(python:*)
---

# 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

Files in this skill

  • .claude/skills/financial-analyzing/SKILL.md1.8 KB
  • .claude/skills/financial-analyzing/reference/costs.md1.4 KB
  • .claude/skills/financial-analyzing/reference/profitability.md1.7 KB
  • .claude/skills/financial-analyzing/reference/revenue.md1.2 KB
  • .claude/skills/financial-analyzing/scripts/calculate_ratios.py1.9 KB
  • .claude/skills/financial-analyzing/templates/analysis_report.md1.1 KB
  • README.md1.2 KB
  • SKILL.md1.9 KB
  • data/analysis_report.md6 KB
  • data/sample_financials.json1.5 KB
  • reference/costs.md1.4 KB
  • reference/profitability.md1.7 KB
  • reference/revenue.md1.2 KB
  • scripts/calculate_ratios.py1.9 KB
  • templates/analysis_report.md1.1 KB

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