Agent Skills by Naji Chammas
Showing 10 vetted skills indexed across 1 GitHub repositories.
najichamsubset-performance
Compute hit rate and ROI across betting strategy subsets over defined periods.
najichammodel-experiment
Train and evaluate NBA player prop regression and breakout classifier models.
najichamvalidate-historical
Identify gaps and quality issues in historical NBA data across a date range.
najichamvalidate-daily
Validate NBA stats pipeline health across phases 2–5.
najichamvalidate-source-alignment
Compare upstream source tables to ml_feature_store_v2 in BigQuery to identify data drift.
najichamhit-rate-analysis
Aggregate NBA prop prediction hit rates across confidence levels, models, and time windows.
najichamspot-check-features
Validate ML feature store data quality with SQL checks on BigQuery tables.
najichambdl-quality-check
Monitors CURRENT Bitdefender status and generates vendor-ready reports from historical health data.
najichamreconcile-yesterday
Compare actual NBA player participation against predicted sets across pipeline phases.
najichamsubset-picks
Query and display predicted player picks from dynamic subsets with signal-context filtering.