Overview
- Skill Key
- alirezarezvani/cs-financial-analyst
- Author
- alirezarezvani
- Source Repo
- openclaw/skills
- Version
- -
- Source Path
- skills/alirezarezvani/cs-financial-analyst
- Latest Commit SHA
- c0502d656822d745b72060ae9b45ec2af0b1ac47
Performs financial ratio analysis, DCF valuation, budget variance analysis, and rolling forecast construction for strategic decision-making. Use when analyzing financial statements, building valuation models, assessing budget variances, or constructing financial projections and forecasts. Also applicable when users mention financial modeling, cash flow analysis, company valuation, financial projections, or spreadsheet analysis.
Stars
0
Installs
0
Status
ACTIVE
Visibility
PUBLIC
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请先检查是否已安装 SkillHub 商店,若未安装,请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店,然后安装 financial-analyst 技能。 若已安装,则直接安装 financial-analyst 技能。
# Financial Analyst Skill ## Overview Production-ready financial analysis toolkit providing ratio analysis, DCF valuation, budget variance analysis, and rolling forecast construction. Designed for financial modeling, forecasting & budgeting, management reporting, business performance analysis, and investment analysis. ## 5-Phase Workflow ### Phase 1: Scoping - Define analysis objectives and stakeholder requirements - Identify data sources and time periods - Establish materiality thresholds and accuracy targets - Select appropriate analytical frameworks ### Phase 2: Data Analysis & Modeling - Collect and validate financial data (income statement, balance sheet, cash flow) - **Validate input data completeness** before running ratio calculations (check for missing fields, nulls, or implausible values) - Calculate financial ratios across 5 categories (profitability, liquidity, leverage, efficiency, valuation) - Build DCF models with WACC and terminal value calculations; **cross-check DCF outputs against sanity bounds** (e.g., implied multiples vs. comparables) - Construct budget variance analyses with favorable/unfavorable classification - Develop driver-based forecasts with scenario modeling ### Phase 3: Insight Generation - Interpret ratio trends and benchmark against industry standards - Identify material variances and root causes - Assess valuation ranges through sensitivity analysis - Evaluate forecast scenarios (base/bull/bear) for decision support ### Phase 4: Reporting - Generate executive summaries with key findings - Produce detailed variance reports by department and category - Deliver DCF valuation reports with sensitivity tables - Present rolling forecasts with trend analysis ### Phase 5: Follow-up - Track forecast accuracy (target: +/-5% revenue, +/-3% expenses) - Monitor report delivery timeliness (target: 100% on time) - Update models with actuals as they become available - Refine assumptions based on variance analysis ## Tools ### 1. Ratio Cal...
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