AI Agent Skills

What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?

Screen equities with systematic value, momentum, quality, volatility, size, and growth factor frameworks.

Review portfolio-company financial packages, flag variance to plan, and prepare monitored KPI summaries.

Complete and link income statement, balance sheet, and cash flow statement model templates with formulas and checks.

Open-source investment research platform for financial analysis agents.

FinnewsHunter: Multi-agent financial intelligence platform powered by AgenticX. Real-time news analysis, sentiment fusion, and alpha factor mining.

Stock analysis skill for market research and financial reasoning workflows.

Fast quantitative research and backtesting workflows for financial agents.

Estimate a public companys intrinsic value through DCF, relative, and sum-of-the-parts valuation methods.

Prepare a pre-earnings briefing with consensus estimates, beat-miss history, and current market context.

Create a global market conditions report spanning equities, rates, FX, commodities, risk appetite, and sector rotation.

Rank recent market-moving news and explain likely effects on equities, commodities, monetary policy, and earnings.

Research a US equity across fundamentals, valuation, technical context, peers, and current market data.

Look up A-share, Hong Kong, and US stock tickers and retrieve historical OHLCV price data for research.

Analyze a ticker with AlphaGBMs five-pillar framework: fundamentals, technicals, sentiment, flows, and valuation.

Turn any domain folder of skills into a bounded agentic loop: compile a goal into a verifiable task plan, execute tasks with the domain's own tools, verify every task wi…