Professional quantitative investment analysis system based on TradingView data. Provides intelligent stock screening, technical pattern recognition, market review, risk management, and event-driven analysis with multi-factor scoring and trading strategies.
npx skills add https://github.com/hypier/tradingview-quantitative-skills/tree/main/skills/tradingview-quantitativeProfessional quantitative investment analysis system based on TradingView data. Provides intelligent stock screening, technical pattern recognition, market review, risk management, and event-driven analysis with multi-factor scoring and trading strategies.
One capabilities.yaml wires skills, tools, rules, sub-agents, MCP servers, and plugins into Cursor, Claude Code, Codex, Windsurf, GitHub Copilot, and 30+ other AI coding agents
Curated real-world use cases for Hermes Agent — the self-improving AI agent from Nous Research. Backed by primary sources.
Command-line interface for SonarQube with AI agent integration. Scan for secrets and get fast feedback on code quality and security from your terminal.
OpenCode skill for analyzing student Excel score sheets and generating professional analysis reports with data cleaning, statistical analysis, and 12 chart types
Benchmark performance of RAG and RLM-based MCP servers for 1C codebases using automated E2E testing to optimize AI assistant integration.
Comprehensive guide for FinLab quantitative trading package across global stock markets (TW, US, KR, JP, HK; both single-name equities and ETFs/funds). Use when working with trading strategies, backtesting, stock data, FinLabDataFrame, factor analysis, stock selection, or when the user mentions FinLab, trading, quant trading, US equity, S&P 500 / NASDAQ 100, SPY / QQQ, sector or leveraged ETFs, ETF rotation, 美股, or stock market analysis. Includes data access, strategy development, backtesting workflows, best practices, and US-market specifics (data availability map, filing-date-aligned quarterly fundamentals, US universe construction, USMarket vs. USFundMarket defaults, and ETF backtesting).