byagiprolabs· 57 skills
Venue- and market-type-agnostic strategy, sizing, and backtesting layer for binary prediction markets (Kalshi, Polymarket, ForecastEx). Covers the durable edge thesis, fee-aware selection, fractional-Kelly sizing, and leak-free validation methodology.
$npx -y skills add agiprolabs/claude-trading-skills --skill prediction-market-strategyInstalls into the current project.
Run `npx skills use "https://github.com/agiprolabs/claude-trading-skills" --skill "agiprolabs/claude-trading-skills/prediction-market-strategy"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/agiprolabs/claude-trading-skills" that are relevant to the current task. Run `npx skills add "https://github.com/agiprolabs/claude-trading-skills"` and select the relevant skills, then follow their instructions.