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davidromeo AI Skills

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Browse published AI skills maintained by davidromeo. Compare skill descriptions and follow each source repository for setup instructions.

Author statistics

Indexed skills

6

Repository stars across indexed skills

180

Repository forks

90

Average repository stars per indexed skill

30

Repository stars may repeat across skills from the same repository.

6 skills

Browse skills

GitHub

tradeblocks-compare

davidromeo

Performance comparison for trading strategies. Compare backtest vs actual results, strategy vs strategy metrics, or period vs period performance. Use when exploring differences between theoretical and live exec...

GitHub

tradeblocks-risk

davidromeo

Risk analysis for trading strategies including Kelly criterion calculations, tail risk metrics, and Monte Carlo projections. Use when exploring position sizing, capital allocation, or understanding worst-case c...

GitHub

tradeblocks-health-check

davidromeo

Strategy health check for trading backtests. Analyzes performance metrics, runs stress tests, and surfaces risk indicators. Use when evaluating a strategy's historical performance and stress characteristics.

GitHub

tradeblocks-portfolio

davidromeo

Portfolio analysis for trading strategies. Explores correlation, diversification, and combined performance characteristics. Use when understanding how strategies relate, exploring diversification effects, or an...

GitHub

tradeblocks-optimize

davidromeo

Parameter exploration for trading backtests. Analyzes trade data to find patterns across parameters like time of day, DTE, delta ranges, and market conditions. Use when exploring which parameters performed diff...

GitHub

tradeblocks-wfa

davidromeo

Walk-forward analysis for trading strategies. Tests whether optimized parameters hold up on out-of-sample data. Use when checking parameter robustness, detecting potential overfitting, or validating a backtest.

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.