$ loading_
Build, backtest, and deploy Hyperliquid trading strategies with open agent skills.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "superior-skills" yet — see the docs or source repo.
Design a short-term momentum trading strategy prototype for Hyperliquid, including entry rules, stop loss/take profit, position sizing, and backtest-ready pseudocode.
A structured strategy spec with rules, parameters, and pseudocode ready for backtesting.
Backtest this mean reversion strategy on the provided Hyperliquid historical data and summarize return, max drawdown, win rate, and parameter sensitivity.
A backtest summary with key metrics, comparisons, and actionable optimization suggestions.
Turn my validated Hyperliquid strategy into a deployment checklist, covering required tools, execution flow, monitoring alerts, and risk controls.
A complete deployment plan with step-by-step tasks, runtime monitoring, and exception handling guidance.
Semantically search a local skill library and load only relevant skills on demand.
Create, refine, and evaluate AI skills for better performance and triggering accuracy.
Search and discover Agent Skills tools and capabilities in the skills.sh registry.
Discover, audit, and recommend the right skills for AI agents.
Discover AI trading agents for market research, strategy building, and execution.
Build, backtest, and optionally execute Hyperliquid trading strategies on real market data.