Agent Skills by mgpowerlytics
Showing 15 vetted skills indexed across 1 GitHub repositories.
MGPowerlyticstest-driven-development
Implement test-driven development workflows with pytest for betting platforms.
MGPowerlyticsdatabase-design
Design and maintain scalable data models with standardized schemas and governance.
MGPowerlyticsbetting-strategy
Compute edge between Elo-derived probabilities and market odds to generate ranked bets with Kelly Criterion stakes.
MGPowerlyticsextreme-persistence
Execute high-stakes tasks autonomously with multi-path failure recovery and post-mission documentation.
MGPowerlyticsstrategic-thinking
Enforce first-principles reasoning with decomposition, reconstruction, and verification.
MGPowerlyticsairflow-dag-patterns
Standardize Airflow DAG design with naming conventions and error handling.
MGPowerlyticstroubleshooting
Diagnose Airflow, database, API, and data integrity issues in the nhlstats system.
MGPowerlyticstesting-patterns
Standardize Python test directories, fixtures, mocking, and DAG validation.
MGPowerlyticsproject-documentation
Establish and maintain a documentation ecosystem with README.md, ADRs, and automated validation.
MGPowerlyticselo-rating-systems
Standardize Elo rating implementations across sports with a unified BaseEloRating interface.
MGPowerlyticsadding-new-sport
Add a new sport to the betting system with a unified Elo rating interface and data pipelines.
MGPowerlyticsairflow-3x-migration
Migrate Airflow 2.x workflows to Airflow 3.x by updating imports and adopting TaskFlow API.
MGPowerlyticskalshi-api-integration
Automate Kalshi API authentication, market retrieval, ticker parsing, and bet placement.
MGPowerlyticsrepository-organization
Standardize repository folder structures and governance practices.
MGPowerlyticsdatabase-operations
Fetch PostgreSQL data as DataFrames via the DBManager interface.