database-operations
Guide for interacting with the system's PostgreSQL database using the DBManager interface, covering key tables and common patterns.
浏览 MGPowerlytics 维护的已发布 AI 技能,比较用途与说明,并通过来源仓库了解安装方式。
已收录技能
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Guide for interacting with the system's PostgreSQL database using the DBManager interface, covering key tables and common patterns.
Best practices and conventions for creating and maintaining Airflow DAGs, including task naming, flow patterns, and error handling.
Guidelines for establishing and maintaining a standardized, intuitive, and automated repository environment to minimize technical debt and ensure long-term maintainability.
Guidelines for designing, implementing, and maintaining high-quality data models, ensuring data integrity, performance, and scalability.
Instructions and checklist for integrating a new sport into the betting system, including Elo ratings, game downloading, and DAG configuration.
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.
Guidelines for testing the application, including directory structure, coverage requirements, mocking external APIs, and validation tests.
Test-Driven Development workflow and best practices for the betting system, including Red-Green-Refactor cycle, test-first development, and incremental implementation.
Diagnosis and resolution guides for common issues in the system, including Airflow failures, database connection errors, API authentication, and data integrity problems.
Guidelines for creating and maintaining a high-fidelity documentation ecosystem that serves as the single source of truth for developers, stakeholders, and AI agents.
Explains the implementation of Elo rating systems, including core formulas, sport-specific parameters (K-factor, home advantage), and update logic.
Details the core betting strategy, including edge calculation, sport-specific thresholds, Kelly Criterion sizing, and portfolio optimization.
Documentation for integrating with the Kalshi API, covering authentication, market fetching, ticker parsing, and bet placement.
Strategies and patterns for ensuring data persistence in distributed systems, handling failures, and maintaining data integrity under extreme conditions.
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。