AI Agent Skills

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

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…

Retrieve market prices, histories, fundamentals, options, and news through Yahoo Finance endpoints for research workflows.

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.

Build an upcoming US earnings calendar with dates, timing, consensus estimates, and market-impact context.

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

Create a multi-perspective technology-company earnings memo with evidence standards, valuation lenses, and anti-bias checks.

Evaluate systematic strategy ideas through signal testing, statistical validation, decay, execution costs, and model-risk review.

Perform a forensic company financial-statement review across earnings quality, health, fraud risk, and operating efficiency.

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

Audit concentration, factor exposure, correlation, liquidity, and stress-test risks in an existing portfolio.

Measure portfolio returns, risk, drawdowns, benchmarks, rolling metrics, and strategy performance from approved data.