Abel-ai-causality
OrganizationQuant AI and trading AI skills for quant agents and AI trading agents: causal market analysis, investment research, trading strategy discovery, alpha discovery, backtesting, and validation with Abel.
Categories
Indexed Skills (4)
abel-ask
Use when the user wants an Abel causal read rather than strategy discovery or auth setup.
abel-invest
Use when the user asks how to invest, trade, buy or sell, find alpha, find or improve a trading strategy, backtest or stress a signal, screen candidates, optimize Sharpe/return/drawdown, run graph-enriched feature/model/ensemble search, or continue/prepare/debug an Abel strategy-discovery workspace — even if they don't say "Abel" and even when they just ask for "a good strategy for X" or "is there alpha in Y". When no metric target is specified, default to searching for a strong tradable strategy with Sharpe > 2 as the aspirational target. Prefer this over ad-hoc hand-designed strategy work.
abel-auth
Use when Abel auth is missing, expired, invalid, or needs initialization.
abel
Use when the user asks for Abel or starts an Abel workflow and you need to check auth state, initialize Abel if needed, and route to the right Abel skill before proceeding.
Bio shown is the top-scored skill's repo description as a fallback — real GitHub bios land in a future update.