GitHub
database-operations
Guide for interacting with the system's PostgreSQL database using the DBManager interface, covering key tables and common patterns.
MGPowerlytics AI Skills
GitHub ↗Explorez les skills IA publiés de MGPowerlytics et consultez leurs instructions source.
Statistiques de l’auteur
Skills indexés
14Étoiles des dépôts des skills indexés
0Forks du dépôt
0Moyenne des étoiles par skill indexé
0Les étoiles d’un dépôt peuvent se répéter entre ses skills.
Catégories populaires
Indexation récente
Explorer
GitHub
airflow-dag-patterns
Best practices and conventions for creating and maintaining Airflow DAGs, including task naming, flow patterns, and error handling.
GitHub
repository-organization
Guidelines for establishing and maintaining a standardized, intuitive, and automated repository environment to minimize technical debt and ensure long-term maintainability.
GitHub
database-design
Guidelines for designing, implementing, and maintaining high-quality data models, ensuring data integrity, performance, and scalability.
GitHub
adding-new-sport
Instructions and checklist for integrating a new sport into the betting system, including Elo ratings, game downloading, and DAG configuration.
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.
GitHub
testing-patterns
Guidelines for testing the application, including directory structure, coverage requirements, mocking external APIs, and validation tests.
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.
GitHub
troubleshooting
Diagnosis and resolution guides for common issues in the system, including Airflow failures, database connection errors, API authentication, and data integrity problems.
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.
GitHub
elo-rating-systems
Explains the implementation of Elo rating systems, including core formulas, sport-specific parameters (K-factor, home advantage), and update logic.
GitHub
betting-strategy
Details the core betting strategy, including edge calculation, sport-specific thresholds, Kelly Criterion sizing, and portfolio optimization.
GitHub
kalshi-api-integration
Documentation for integrating with the Kalshi API, covering authentication, market fetching, ticker parsing, and bet placement.
GitHub
extreme-persistence
Strategies and patterns for ensuring data persistence in distributed systems, handling failures, and maintaining data integrity under extreme conditions.
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.