geeksfino/finskills
6 skills1.5k installs1.6k starsGitHub
Install
npx skills add https://github.com/geeksfino/finskillsSkills in this repo
1Quant Factor Screenerquant-factor-screener is a geeksfino/finskills agent skill that acts as a quantitative equity analyst for China's A-share market. It scores stocks across six academic factors—value, momentum, quality, low volatility, size, and growth—with equal default weights and percentile-based composite rankings. Developers configure universes such as CSI 300, CSI 500, CSI 1000, or full A-shares, apply optional industry-neutral constraints, and receive a default top-20 ranked list with macro factor-timing context. The skill suits engineers building quant research assistants, fintech dashboards, or automated screening pipelines that need repeatable multi-factor scoring rather than ad-hoc stock picks. Install via npx skills add geeksfino/finskills --skill quant-factor-screener.337installs2Findata Toolkit Cnfindata-toolkit-cn is a self-contained A-share financial data toolkit from geeksfino/finskills with two Python entry scripts: stock_data.py for equities and macro_data.py for economic indicators. All outputs are JSON to stdout using AKShare sources—no API keys required. stock_data.py covers fundamentals, OHLCV history, three financial statements, insider trading, northbound capital flows, and multi-ticker screening. macro_data.py exposes LPR, Shibor, CPI/PPI, PMI, social financing, M2, and cycle-stage dashboards. Install once with pip install -r requirements.txt, then invoke from the skill root. Use findata-toolkit-cn when an agent workflow needs live China market data to support screening, factor research, or macro context.308installs3Financial Statement Analyzerfinancial-statement-analyzer is an agent skill from geeksfino/finskills that performs in-depth single-company analysis of China A-share listed financial statements. The workflow runs five-factor DuPont analysis to decompose ROE drivers, evaluates earnings quality through accrual ratios and cash conversion, and scores financial health with Altman Z, Piotroski F, and Beneish M fraud-detection metrics. It inspects working-capital cycles with CCC, DSO, DIO, and DPO trends, flags balance-sheet risks such as goodwill and construction-in-progress anomalies common in A-share filings, and benchmarks segment performance against peers over a default five-year span. Developers reach for financial-statement-analyzer when building fintech tooling, automating equity research pipelines, or stress-testing whether reported profits reflect economic reality before downstream modeling.298installs4Event Driven Detectorevent-driven-detector is an AI coding tool that enhances development workflows. Builders use it for infrastructure, integration, and platform development within the catalog ecosystem.223installs5Undervalued Stock Screenerundervalued-stock-screener is an AI coding tool that enhances development workflows. Builders use it for infrastructure, integration, and platform development within the catalog ecosystem.193installs6Sector Rotation Detectorsector-rotation-detector is an AI coding tool that enhances development workflows. Builders use it for infrastructure, integration, and platform development within the catalog ecosystem.171installs