Skill UI

This skill guides the construction of robust, production-grade backtesting systems for financial trading strategies. It helps users systematically validate performance, avoid common biases (like look-ahead bias), and implement advanced techniques such as walk-forward analysis, ensuring reliable performance estimates before live deployment.

Provides a production-ready financial analysis toolkit for ratio diagnostics, DCF valuation, variance reviews, and rolling forecasts to support modeling, reporting, and decision-making across budgeting, investments, and operational performance.

This skill provides comprehensive tracking and analysis of OpenRouter API usage metrics. It collects critical data points such as per-request total cost, prompt and completion token counts, latency, and usage patterns. Use this skill when building financial dashboards, optimizing AI spending, monitoring API consumption, or generating detailed usage reports.

This skill simulates the role of a quantitative analyst, providing comprehensive tools for building complex financial models, backtesting trading strategies, and analyzing market data. It covers advanced topics like portfolio optimization (Markowitz, Black-Litterman), calculating risk metrics (VaR, Sharpe ratio), and performing statistical arbitrage. Ideal for quantitative finance professionals needing rigorous data analysis, robust backtesting, and risk-adjusted performance evaluation.

This expert skill acts as a dedicated business analyst for early-stage companies (pre-seed to Series A). It provides comprehensive, actionable analysis covering market sizing (TAM/SAM/SOM), rigorous financial modeling (LTV, CAC, cash flow), competitive strategy, and organizational planning. Use it to develop investor-ready reports and guide critical strategic decisions for founders and entrepreneurs.

This skill generates a comprehensive, investor-ready business case document. It guides users through creating detailed sections covering market analysis (TAM/SAM/SOM), solution development, competitive positioning, financial projections, go-to-market strategy, and team structure. It is essential for founders undergoing fundraising or strategic corporate planning.

Build comprehensive 3-5 year financial models essential for startup planning and fundraising. This skill meticulously projects revenue using cohort-based methods, details cost structures (COGS, S&M, R&D, G&A), plans headcount, and performs detailed cash flow analysis. It calculates critical metrics like LTV, CAC, and burn rate, providing three scenarios (conservative, base, optimistic) for robust strategic decision-making.

Build comprehensive 3-5 year financial models crucial for early-stage startups. This guide covers revenue projections using cohort-based methods, detailed cost structuring (COGS, S&M, R&D, G&A), robust cash flow analysis, and multi-scenario planning (Conservative, Base, Optimistic). It provides the quantitative foundation needed for fundraising, strategic planning, and investor presentations.

Python library for accessing SEC EDGAR filings, extracting XBRL statements, insider trading, and institutional holdings data to power financial analysis, screening, or structured data workflows across 10-K/10-Q/8-K/DEF-14A filings.

Access over 800,000 economic time series from FRED's API, covering GDP, employment, inflation, interest rates, regional metrics, and more; ideal for macroeconomic analysis, financial research, policymaking, and forecasting workflows.

Provides a concise quantitative analysis experience for financial or research scenarios by structuring numerical data insights and interpretations.

Provides a production-ready financial analyst agent skill covering ratio analysis, DCF valuation, budget variance, and rolling forecasts via four stdlib-only Python tools across Claude Code, Codex, and OpenClaw agents.