GitHub
database-operations
Guide for interacting with the system's PostgreSQL database using the DBManager interface, covering key tables and common patterns.
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MGPowerlytics AI Skills
GitHub ↗Browse published AI skills maintained by MGPowerlytics. Compare skill descriptions and follow each source repository for setup instructions.
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14Repository stars across indexed skills
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GitHub
airflow-dag-patterns
Best practices and conventions for creating and maintaining Airflow DAGs, including task naming, flow patterns, and error handling.
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GitHub
repository-organization
Guidelines for establishing and maintaining a standardized, intuitive, and automated repository environment to minimize technical debt and ensure long-term maintainability.
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GitHub
database-design
Guidelines for designing, implementing, and maintaining high-quality data models, ensuring data integrity, performance, and scalability.
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GitHub
adding-new-sport
Instructions and checklist for integrating a new sport into the betting system, including Elo ratings, game downloading, and DAG configuration.
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GitHub
airflow-3x-migration
Comprehensive guide and patterns for migrating Apache Airflow 2.x workflows to Airflow 3.x, covering import changes, deprecated features, and new paradigms like Asset scheduling and TaskFlow API.
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GitHub
testing-patterns
Guidelines for testing the application, including directory structure, coverage requirements, mocking external APIs, and validation tests.
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GitHub
test-driven-development
Test-Driven Development workflow and best practices for the betting system, including Red-Green-Refactor cycle, test-first development, and incremental implementation.
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GitHub
troubleshooting
Diagnosis and resolution guides for common issues in the system, including Airflow failures, database connection errors, API authentication, and data integrity problems.
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GitHub
project-documentation
Guidelines for creating and maintaining a high-fidelity documentation ecosystem that serves as the single source of truth for developers, stakeholders, and AI agents.
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GitHub
elo-rating-systems
Explains the implementation of Elo rating systems, including core formulas, sport-specific parameters (K-factor, home advantage), and update logic.
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GitHub
betting-strategy
Details the core betting strategy, including edge calculation, sport-specific thresholds, Kelly Criterion sizing, and portfolio optimization.
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GitHub
kalshi-api-integration
Documentation for integrating with the Kalshi API, covering authentication, market fetching, ticker parsing, and bet placement.
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GitHub
extreme-persistence
Strategies and patterns for ensuring data persistence in distributed systems, handling failures, and maintaining data integrity under extreme conditions.
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