Skill UI

This guide details best practices for implementing robust, type-safe GraphQL queries and mutations. It covers using separate .gql files, running code generation tools, and implementing mandatory error handling (onError) and loading states. Use this when building complex, reliable data fetching layers with Apollo Client.

This skill guides the structured development process for implementing new features or fixes based on Product Requirement Documents (PRDs) or predefined issues. It emphasizes best practices, including Test-Driven Development (TDD), regular type-checking, running comprehensive test suites, and completing the cycle with a formal review process.

A comprehensive skill to diagnose and fix excessive Postgres egress (network data transfer) that leads to high cloud database bills. It guides the user through using `pg_stat_statements` to identify the most data-intensive queries. Key fixes include limiting selected columns (avoiding SELECT *), implementing pagination (LIMIT/OFFSET), and identifying high-frequency data sources for caching.

This skill generates comprehensive, production-grade unit and integration tests using the Python pytest framework. It covers advanced patterns such as fixtures (with scope and teardown), parametrization, custom markers, mocking external dependencies, and best practices for writing robust and maintainable test suites. Use this when implementing detailed test coverage for Python code.