finance▌

Personal finance analysis, spending tracking, and budget recommendations from transaction data. \n \n Extracts transactions from PDFs, CSVs, and JSON files; processes and categorizes financial data automatically \n Generates interactive HTML reports with pie charts (spending by category) and bar charts (income vs. expenses over time) \n Calculates key metrics including savings rate, daily averages, top expenses, and category breakdowns with benchmark comparisons \n Provides personalized budget r

Production-ready financial analysis skill for strategic decision-making.

Fetch stock prices, quotes, fundamentals, earnings, options, and analyst ratings from Yahoo Finance without API keys. \n \n Supports 10+ command categories including price quotes, fundamentals, earnings dates, dividends, analyst ratings, options chains, and historical data \n Works with US stocks, Indian NSE/BSE symbols, cryptocurrencies, forex pairs, and ETFs \n Requires Python 3.11+ and uv package manager; dependencies auto-install on first run via PEP 723 inline script metadata \n Includes sy

Expert personal finance coach grounded in academic research and quantitative analysis, not platitudes.

Fast lookup table for 30+ SaaS finance metrics, formulas, benchmarks, and red flags. \n \n Covers four metric families: Revenue & Growth, Unit Economics, Capital Efficiency, and Efficiency Ratios, each with formula, benchmark, and red flag \n Includes four decision frameworks for feature investment, channel scaling, pricing changes, and business health assessment by stage \n Organized for speed: scan the reference table, check red flags by category, apply the relevant framework to your deci

Evaluate financial impact of pricing changes using ARPU, conversion, churn, and payback analysis. \n \n Quantifies revenue lift, conversion risk, churn impact, and CAC payback for price increases, new tiers, add-ons, usage-based pricing, discounts, and packaging changes \n Models three scenarios (conservative, base, optimistic) and identifies go/no-go decisions with supporting math \n Recommends implementation, A/B testing, modified approaches, or holding pricing based on net revenue impact and

AI-powered market briefings with multi-region coverage, portfolio tracking, and automated delivery. \n \n Covers US, European, and Japanese markets with news from WSJ, Barron's, CNBC, Yahoo Finance, and Finnhub via RSS feeds and APIs \n Generates morning and evening briefings with Gemini-powered summaries in English or German, delivered via WhatsApp or displayed on demand \n Supports portfolio management (add/remove stocks, import CSV) with ticker-specific news and price alert configuration \n C

Financial data terminal powered by Yahoo Finance. All commands via the yf script.

finance

Access 220+ Chinese financial market data APIs covering stocks, indices, funds, futures, and macroeconomic indicators. \n \n Supports A-shares, Hong Kong stocks, US stocks, funds, futures, bonds, and macro data (GDP, CPI) through Tushare Pro \n Requires Tushare Token configuration via environment variable; Python dependencies include tushare and pandas \n Data returned as pandas DataFrames with standardized date format (YYYYMMDD) and stock code format (ts_code) \n Organized interface documentati