[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6KBGH60DMFSQS6E6MMY04C1":3,"skill-same:01M6KBGH60DMFSQS6E6MMY04C1":129},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":16,"categories":17,"keywords":23,"publishedAt":44,"linkOnly":45,"markdownContent":46,"markdownBody":47,"frontMatter":48,"refName":49,"commitSha":50,"skillDirectory":51,"forksCount":52,"repositoryHtmlUrl":53,"repositoryHomepageUrl":6,"ownerHtmlUrl":54,"ownerBlogUrl":55,"ownerDescription":6,"updatedAt":56,"install":57,"resources":70},"01M6KBGH60DMFSQS6E6MMY04C1","financial-analyst",null,"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.","afaizalam2003\u002FMaster-claude-skill","afaizalam2003","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F222019359?v=4","01M6K8F2XNT0HKBPF00JQ78SV3","Faiz Alam","01M6K8F31EBXAPER0EG8R9HTR5",3,"MIT","https:\u002F\u002Fgithub.com\u002Fafaizalam2003\u002FMaster-claude-skill\u002Fblob\u002Fmain\u002Ffinance\u002Ffinancial-analyst\u002FSKILL.md",[18],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000040","财务","PROFESSION","适用职业",[24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43],"analyst","financial analyst","dcf","for","strategic","analyzing financial statements","projections","financial statements","modeling","decision-making","budget variance analysis","valuation","decision","analysis","Budget","spreadsheet","flow","analyzing","variance analysis","forecast","2026-11-10 10:12:30",false,"---\nname: \"financial-analyst\"\ndescription: 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.\n---\n\n# Financial Analyst Skill\n\n## Overview\n\nProduction-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.\n\n## 5-Phase Workflow\n\n### Phase 1: Scoping\n- Define analysis objectives and stakeholder requirements\n- Identify data sources and time periods\n- Establish materiality thresholds and accuracy targets\n- Select appropriate analytical frameworks\n\n### Phase 2: Data Analysis & Modeling\n- Collect and validate financial data (income statement, balance sheet, cash flow)\n- **Validate input data completeness** before running ratio calculations (check for missing fields, nulls, or implausible values)\n- Calculate financial ratios across 5 categories (profitability, liquidity, leverage, efficiency, valuation)\n- Build DCF models with WACC and terminal value calculations; **cross-check DCF outputs against sanity bounds** (e.g., implied multiples vs. comparables)\n- Construct budget variance analyses with favorable\u002Funfavorable classification\n- Develop driver-based forecasts with scenario modeling\n\n### Phase 3: Insight Generation\n- Interpret ratio trends and benchmark against industry standards\n- Identify material variances and root causes\n- Assess valuation ranges through sensitivity analysis\n- Evaluate forecast scenarios (base\u002Fbull\u002Fbear) for decision support\n\n### Phase 4: Reporting\n- Generate executive summaries with key findings\n- Produce detailed variance reports by department and category\n- Deliver DCF valuation reports with sensitivity tables\n- Present rolling forecasts with trend analysis\n\n### Phase 5: Follow-up\n- Track forecast accuracy (target: +\u002F-5% revenue, +\u002F-3% expenses)\n- Monitor report delivery timeliness (target: 100% on time)\n- Update models with actuals as they become available\n- Refine assumptions based on variance analysis\n\n## Tools\n\n### 1. Ratio Calculator (`scripts\u002Fratio_calculator.py`)\n\nCalculate and interpret financial ratios from financial statement data.\n\n**Ratio Categories:**\n- **Profitability:** ROE, ROA, Gross Margin, Operating Margin, Net Margin\n- **Liquidity:** Current Ratio, Quick Ratio, Cash Ratio\n- **Leverage:** Debt-to-Equity, Interest Coverage, DSCR\n- **Efficiency:** Asset Turnover, Inventory Turnover, Receivables Turnover, DSO\n- **Valuation:** P\u002FE, P\u002FB, P\u002FS, EV\u002FEBITDA, PEG Ratio\n\n```bash\npython scripts\u002Fratio_calculator.py sample_financial_data.json\npython scripts\u002Fratio_calculator.py sample_financial_data.json --format json\npython scripts\u002Fratio_calculator.py sample_financial_data.json --category profitability\n```\n\n### 2. DCF Valuation (`scripts\u002Fdcf_valuation.py`)\n\nDiscounted Cash Flow enterprise and equity valuation with sensitivity analysis.\n\n**Features:**\n- WACC calculation via CAPM\n- Revenue and free cash flow projections (5-year default)\n- Terminal value via perpetuity growth and exit multiple methods\n- Enterprise value and equity value derivation\n- Two-way sensitivity analysis (discount rate vs growth rate)\n\n```bash\npython scripts\u002Fdcf_valuation.py valuation_data.json\npython scripts\u002Fdcf_valuation.py valuation_data.json --format json\npython scripts\u002Fdcf_valuation.py valuation_data.json --projection-years 7\n```\n\n### 3. Budget Variance Analyzer (`scripts\u002Fbudget_variance_analyzer.py`)\n\nAnalyze actual vs budget vs prior year performance with materiality filtering.\n\n**Features:**\n- Dollar and percentage variance calculation\n- Materiality threshold filtering (default: 10% or $50K)\n- Favorable\u002Funfavorable classification with revenue\u002Fexpense logic\n- Department and category breakdown\n- Executive summary generation\n\n```bash\npython scripts\u002Fbudget_variance_analyzer.py budget_data.json\npython scripts\u002Fbudget_variance_analyzer.py budget_data.json --format json\npython scripts\u002Fbudget_variance_analyzer.py budget_data.json --threshold-pct 5 --threshold-amt 25000\n```\n\n### 4. Forecast Builder (`scripts\u002Fforecast_builder.py`)\n\nDriver-based revenue forecasting with rolling cash flow projection and scenario modeling.\n\n**Features:**\n- Driver-based revenue forecast model\n- 13-week rolling cash flow projection\n- Scenario modeling (base\u002Fbull\u002Fbear cases)\n- Trend analysis using simple linear regression (standard library)\n\n```bash\npython scripts\u002Fforecast_builder.py forecast_data.json\npython scripts\u002Fforecast_builder.py forecast_data.json --format json\npython scripts\u002Fforecast_builder.py forecast_data.json --scenarios base,bull,bear\n```\n\n## Knowledge Bases\n\n| Reference | Purpose |\n|-----------|---------|\n| `references\u002Ffinancial-ratios-guide.md` | Ratio formulas, interpretation, industry benchmarks |\n| `references\u002Fvaluation-methodology.md` | DCF methodology, WACC, terminal value, comps |\n| `references\u002Fforecasting-best-practices.md` | Driver-based forecasting, rolling forecasts, accuracy |\n| `references\u002Findustry-adaptations.md` | Sector-specific metrics and considerations (SaaS, Retail, Manufacturing, Financial Services, Healthcare) |\n\n## Templates\n\n| Template | Purpose |\n|----------|---------|\n| `assets\u002Fvariance_report_template.md` | Budget variance report template |\n| `assets\u002Fdcf_analysis_template.md` | DCF valuation analysis template |\n| `assets\u002Fforecast_report_template.md` | Revenue forecast report template |\n\n## Key Metrics & Targets\n\n| Metric | Target |\n|--------|--------|\n| Forecast accuracy (revenue) | +\u002F-5% |\n| Forecast accuracy (expenses) | +\u002F-3% |\n| Report delivery | 100% on time |\n| Model documentation | Complete for all assumptions |\n| Variance explanation | 100% of material variances |\n\n## Input Data Format\n\nAll scripts accept JSON input files. See `assets\u002Fsample_financial_data.json` for the complete input schema covering all four tools.\n\n## Dependencies\n\n**None** - All scripts use Python standard library only (`math`, `statistics`, `json`, `argparse`, `datetime`). No numpy, pandas, or scipy required.\n","# Financial Analyst Skill\n\n## Overview\n\nProduction-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.\n\n## 5-Phase Workflow\n\n### Phase 1: Scoping\n- Define analysis objectives and stakeholder requirements\n- Identify data sources and time periods\n- Establish materiality thresholds and accuracy targets\n- Select appropriate analytical frameworks\n\n### Phase 2: Data Analysis & Modeling\n- Collect and validate financial data (income statement, balance sheet, cash flow)\n- **Validate input data completeness** before running ratio calculations (check for missing fields, nulls, or implausible values)\n- Calculate financial ratios across 5 categories (profitability, liquidity, leverage, efficiency, valuation)\n- Build DCF models with WACC and terminal value calculations; **cross-check DCF outputs against sanity bounds** (e.g., implied multiples vs. comparables)\n- Construct budget variance analyses with favorable\u002Funfavorable classification\n- Develop driver-based forecasts with scenario modeling\n\n### Phase 3: Insight Generation\n- Interpret ratio trends and benchmark against industry standards\n- Identify material variances and root causes\n- Assess valuation ranges through sensitivity analysis\n- Evaluate forecast scenarios (base\u002Fbull\u002Fbear) for decision support\n\n### Phase 4: Reporting\n- Generate executive summaries with key findings\n- Produce detailed variance reports by department and category\n- Deliver DCF valuation reports with sensitivity tables\n- Present rolling forecasts with trend analysis\n\n### Phase 5: Follow-up\n- Track forecast accuracy (target: +\u002F-5% revenue, +\u002F-3% expenses)\n- Monitor report delivery timeliness (target: 100% on time)\n- Update models with actuals as they become available\n- Refine assumptions based on variance analysis\n\n## Tools\n\n### 1. Ratio Calculator (`scripts\u002Fratio_calculator.py`)\n\nCalculate and interpret financial ratios from financial statement data.\n\n**Ratio Categories:**\n- **Profitability:** ROE, ROA, Gross Margin, Operating Margin, Net Margin\n- **Liquidity:** Current Ratio, Quick Ratio, Cash Ratio\n- **Leverage:** Debt-to-Equity, Interest Coverage, DSCR\n- **Efficiency:** Asset Turnover, Inventory Turnover, Receivables Turnover, DSO\n- **Valuation:** P\u002FE, P\u002FB, P\u002FS, EV\u002FEBITDA, PEG Ratio\n\n```bash\npython scripts\u002Fratio_calculator.py sample_financial_data.json\npython scripts\u002Fratio_calculator.py sample_financial_data.json --format json\npython scripts\u002Fratio_calculator.py sample_financial_data.json --category profitability\n```\n\n### 2. DCF Valuation (`scripts\u002Fdcf_valuation.py`)\n\nDiscounted Cash Flow enterprise and equity valuation with sensitivity analysis.\n\n**Features:**\n- WACC calculation via CAPM\n- Revenue and free cash flow projections (5-year default)\n- Terminal value via perpetuity growth and exit multiple methods\n- Enterprise value and equity value derivation\n- Two-way sensitivity analysis (discount rate vs growth rate)\n\n```bash\npython scripts\u002Fdcf_valuation.py valuation_data.json\npython scripts\u002Fdcf_valuation.py valuation_data.json --format json\npython scripts\u002Fdcf_valuation.py valuation_data.json --projection-years 7\n```\n\n### 3. Budget Variance Analyzer (`scripts\u002Fbudget_variance_analyzer.py`)\n\nAnalyze actual vs budget vs prior year performance with materiality filtering.\n\n**Features:**\n- Dollar and percentage variance calculation\n- Materiality threshold filtering (default: 10% or $50K)\n- Favorable\u002Funfavorable classification with revenue\u002Fexpense logic\n- Department and category breakdown\n- Executive summary generation\n\n```bash\npython scripts\u002Fbudget_variance_analyzer.py budget_data.json\npython scripts\u002Fbudget_variance_analyzer.py budget_data.json --format json\npython scripts\u002Fbudget_variance_analyzer.py budget_data.json --threshold-pct 5 --threshold-amt 25000\n```\n\n### 4. Forecast Builder (`scripts\u002Fforecast_builder.py`)\n\nDriver-based revenue forecasting with rolling cash flow projection and scenario modeling.\n\n**Features:**\n- Driver-based revenue forecast model\n- 13-week rolling cash flow projection\n- Scenario modeling (base\u002Fbull\u002Fbear cases)\n- Trend analysis using simple linear regression (standard library)\n\n```bash\npython scripts\u002Fforecast_builder.py forecast_data.json\npython scripts\u002Fforecast_builder.py forecast_data.json --format json\npython scripts\u002Fforecast_builder.py forecast_data.json --scenarios base,bull,bear\n```\n\n## Knowledge Bases\n\n| Reference | Purpose |\n|-----------|---------|\n| `references\u002Ffinancial-ratios-guide.md` | Ratio formulas, interpretation, industry benchmarks |\n| `references\u002Fvaluation-methodology.md` | DCF methodology, WACC, terminal value, comps |\n| `references\u002Fforecasting-best-practices.md` | Driver-based forecasting, rolling forecasts, accuracy |\n| `references\u002Findustry-adaptations.md` | Sector-specific metrics and considerations (SaaS, Retail, Manufacturing, Financial Services, Healthcare) |\n\n## Templates\n\n| Template | Purpose |\n|----------|---------|\n| `assets\u002Fvariance_report_template.md` | Budget variance report template |\n| `assets\u002Fdcf_analysis_template.md` | DCF valuation analysis template |\n| `assets\u002Fforecast_report_template.md` | Revenue forecast report template |\n\n## Key Metrics & Targets\n\n| Metric | Target |\n|--------|--------|\n| Forecast accuracy (revenue) | +\u002F-5% |\n| Forecast accuracy (expenses) | +\u002F-3% |\n| Report delivery | 100% on time |\n| Model documentation | Complete for all assumptions |\n| Variance explanation | 100% of material variances |\n\n## Input Data Format\n\nAll scripts accept JSON input files. 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when the user asks to prepare for SOC 2 audits, map Trust Service Criteria, build control matrices, collect audit evidence, perform gap analysis, or assess SOC 2 Type I vs Type II readiness.","https:\u002F\u002Fgithub.com\u002Fafaizalam2003\u002FMaster-claude-skill\u002Fblob\u002Fmain\u002Fra-qm-team\u002Fsoc2-compliance\u002FSKILL.md",[136],{"categoryNo":137,"categoryName":138,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000037","律师与法务",[140,141,142,143,144,145,146,37,147,148,149,150,151,152,153,154,155,156,157,27],"compliance","soc2","soc2 compliance","audit evidence","audit","collect","soc","use","evidence","trust","build","map","control","type","gap","readiness","gap 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Provides risk analysis, risk evaluation, risk control, and post-production information analysis. Use when user mentions risk management, ISO 14971, risk analysis, FMEA, fault tree analysis, hazard identification, risk control, risk matrix, benefit-risk analysis, residual risk, risk acceptability, or post-market risk.","https:\u002F\u002Fgithub.com\u002Fafaizalam2003\u002FMaster-claude-skill\u002Fblob\u002Fmain\u002Fra-qm-team\u002Frisk-management-specialist\u002FSKILL.md",[],[165,166,167,168,169,170,171,172,37,147,173,174,175,176,177,178,179,180,181,182],"risk","risk management specialist","management","risk management","risk evaluation","product","Evaluation","lifecycle","risk matrix","iso","medical","iso 14971","identification","information","post-production","tree","matrix","implementing",{"skillNo":184,"name":185,"nameZh":6,"description":186,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":187,"categories":188,"keywords":189,"publishedAt":44},"01M6KC3HF5ZFSSP2NZF68PEPFB","regulatory-affairs-head","Senior Regulatory Affairs Manager for HealthTech and MedTech companies. Prepares FDA 510(k), De Novo, and PMA submission packages; analyzes regulatory pathways for new medical devices; drafts responses to FDA deficiency letters and Notified Body queries; develops CE marking technical documentation under EU MDR 2017\u002F745; coordinates multi-market approval strategies across FDA, EU, Health Canada, PMDA, and NMPA; and maintains regulatory intelligence on evolving standards. Use when users need to plan or execute FDA submissions, navigate 510(k) or PMA approval processes, achieve CE marking, prepare pre-submission meeting materials, write regulatory strategy documents, respond to agency queries, or manage compliance documentation for medical device market access.","https:\u002F\u002Fgithub.com\u002Fafaizalam2003\u002FMaster-claude-skill\u002Fblob\u002Fmain\u002Fra-qm-team\u002Fregulatory-affairs-head\u002FSKILL.md",[],[190,191,192,193,194,195,196,197,198,147,199,200,201,202,203,204,205,206,207,27],"regulatory affairs head","regulatory","head","documents","devices","health","plan","write","strategy","standards","queries","manage","strategies","de","users","respond","medical devices","manager",{"skillNo":209,"name":210,"nameZh":6,"description":211,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":212,"categories":213,"keywords":222,"publishedAt":44},"01M6KC34Z8M1559EY1CXYBJB1A","quality-manager-qms-iso13485","ISO 13485 Quality Management System implementation and maintenance for medical device organizations. Provides QMS design, documentation control, internal auditing, CAPA management, and certification support. Use when working with medical device quality systems, preparing for ISO 13485 audits, managing regulatory compliance documentation, setting up corrective actions, or building audit preparation programs. Useful for quality management, audit preparation, regulatory compliance, medical device documentation, and corrective action workflows.","https:\u002F\u002Fgithub.com\u002Fafaizalam2003\u002FMaster-claude-skill\u002Fblob\u002Fmain\u002Fra-qm-team\u002Fquality-manager-qms-iso13485\u002FSKILL.md",[214,219],{"categoryNo":215,"categoryName":216,"taxonomyType":217,"taxonomyTypeDesc":218},"01JBSEEDCAT000000000000015","视觉设计","SCENARIO","使用场景",{"categoryNo":220,"categoryName":221,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000032","设计师",[223,224,207,225,226,227,228,229,230,147,231,232,233,234,235,236,237,238,27,239],"quality manager qms iso13485","quality","design","workflows","validation","actions","certification","system","maintenance","document","systems","records","ISO 13485","organizations","corrective action","internal audit","preparation",{"skillNo":241,"name":242,"nameZh":6,"description":243,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":244,"categories":245,"keywords":247,"publishedAt":44},"01M6KC2FXHBHXYX2ZZ17Y3GDB4","quality-manager-qmr","Senior Quality Manager Responsible Person (QMR) for HealthTech and MedTech companies. Provides quality system governance, management review leadership, regulatory compliance oversight, and quality performance monitoring per ISO 13485 Clause 5.5.2.","https:\u002F\u002Fgithub.com\u002Fafaizalam2003\u002FMaster-claude-skill\u002Fblob\u002Fmain\u002Fra-qm-team\u002Fquality-manager-qmr\u002FSKILL.md",[246],{"categoryNo":137,"categoryName":138,"taxonomyType":21,"taxonomyTypeDesc":22},[248,224,207,249,250,251,252,253,140,254,230,255,191,256,257,258,174,235,27,259],"quality manager qmr","review","policy","performance","governance","monitoring","regulatory compliance","oversight","cost","culture","leadership","person",{"skillNo":261,"name":262,"nameZh":6,"description":263,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":264,"categories":265,"keywords":273,"publishedAt":44},"01M6KC1VRR5JTDBNZANHPS6VR6","quality-documentation-manager","Document control system management for medical device QMS. Covers document numbering, version control, change management, and 21 CFR Part 11 compliance. Use for document control procedures, change control workflow, document numbering, version management, electronic signature compliance, or regulatory documentation review.","https:\u002F\u002Fgithub.com\u002Fafaizalam2003\u002FMaster-claude-skill\u002Fblob\u002Fmain\u002Fra-qm-team\u002Fquality-documentation-manager\u002FSKILL.md",[266,269,272],{"categoryNo":267,"categoryName":268,"taxonomyType":217,"taxonomyTypeDesc":218},"01JBSEEDCAT000000000000002","文档处理",{"categoryNo":270,"categoryName":271,"taxonomyType":217,"taxonomyTypeDesc":218},"01JBSEEDCAT000000000000023","Skill与智能体开发",{"categoryNo":137,"categoryName":138,"taxonomyType":21,"taxonomyTypeDesc":22},[274,275,224,207,249,276,277,144,230,278,279,280,281,282,175,283,284,285,286,27],"documentation","quality documentation manager","workflow","change","change management","list","master","system management","documentation review","cfr","21 cfr part 11","change control","retention"]