Agent Skillsanthropics/claude-cookbooks › analyzing-financial-statements

analyzing-financial-statements

GitHub

计算并解读财务比率(如盈利能力、流动性、估值等),支持多格式输入与行业基准对比,用于投资分析与公司绩效评估。

skills/custom_skills/analyzing-financial-statements/SKILL.md anthropics/claude-cookbooks

Trigger Scenarios

用户要求计算财务比率或指标 提供财务报表数据进行分析 询问特定财务比率含义

Install

npx skills add anthropics/claude-cookbooks --skill analyzing-financial-statements -g -y
More Options

Non-standard path

npx skills add https://github.com/anthropics/claude-cookbooks/tree/main/skills/custom_skills/analyzing-financial-statements -g -y

Use without installing

npx skills use anthropics/claude-cookbooks@analyzing-financial-statements

指定 Agent (Claude Code)

npx skills add anthropics/claude-cookbooks --skill analyzing-financial-statements -a claude-code -g -y

安装 repo 全部 skill

npx skills add anthropics/claude-cookbooks --all -g -y

预览 repo 内 skill

npx skills add anthropics/claude-cookbooks --list

SKILL.md

Frontmatter
{
    "name": "analyzing-financial-statements",
    "description": "This skill calculates key financial ratios and metrics from financial statement data for investment analysis"
}

Financial Ratio Calculator Skill

This skill provides comprehensive financial ratio analysis for evaluating company performance, profitability, liquidity, and valuation.

Capabilities

Calculate and interpret:

  • Profitability Ratios: ROE, ROA, Gross Margin, Operating Margin, Net Margin
  • Liquidity Ratios: Current Ratio, Quick Ratio, Cash Ratio
  • Leverage Ratios: Debt-to-Equity, Interest Coverage, Debt Service Coverage
  • Efficiency Ratios: Asset Turnover, Inventory Turnover, Receivables Turnover
  • Valuation Ratios: P/E, P/B, P/S, EV/EBITDA, PEG
  • Per-Share Metrics: EPS, Book Value per Share, Dividend per Share

How to Use

  1. Input Data: Provide financial statement data (income statement, balance sheet, cash flow)
  2. Select Ratios: Specify which ratios to calculate or use "all" for comprehensive analysis
  3. Interpretation: The skill will calculate ratios and provide industry-standard interpretations

Input Format

Financial data can be provided as:

  • CSV with financial line items
  • JSON with structured financial statements
  • Text description of key financial figures
  • Excel files with financial statements

Output Format

Results include:

  • Calculated ratios with values
  • Industry benchmark comparisons (when available)
  • Trend analysis (if multiple periods provided)
  • Interpretation and insights
  • Excel report with formatted results

Example Usage

"Calculate key financial ratios for this company based on the attached financial statements"

"What's the P/E ratio if the stock price is $50 and annual earnings are $2.50 per share?"

"Analyze the liquidity position using the balance sheet data"

Scripts

  • calculate_ratios.py: Main calculation engine for all financial ratios
  • interpret_ratios.py: Provides interpretation and benchmarking

Best Practices

  1. Always validate data completeness before calculations
  2. Handle missing values appropriately (use industry averages or exclude)
  3. Consider industry context when interpreting ratios
  4. Include period comparisons for trend analysis
  5. Flag unusual or concerning ratios

Limitations

  • Requires accurate financial data
  • Industry benchmarks are general guidelines
  • Some ratios may not apply to all industries
  • Historical data doesn't guarantee future performance

Version History

  • 85016ca Current 2026-07-24 11:38

Same Skill Collection

.claude/skills/cookbook-audit/SKILL.md
skills/custom_skills/applying-brand-guidelines/SKILL.md
skills/custom_skills/creating-financial-models/SKILL.md

Metadata

Files
0
Version
a97b9a2
Hash
75b9aeac
Indexed
2026-07-24 11:38

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