Optimize and execute SQL queries with the Cascades query planner.
npx skills add https://github.com/birdayz/fdb-go --skill query-engine
Please help me install this Agent Skill. Skill: query-engine Source: https://github.com/birdayz/fdb-go/tree/main/.claude/skills/query-engine Command: npx skills add https://github.com/birdayz/fdb-go --skill query-engine
This Skill addresses the complexity of optimizing and executing SQL queries within the Cascades query planner and optimizer, ensuring high-quality code and alignment with the Java reference implementation.
Start by reading the Java source code for the corresponding SQL component. Implement the new rule with tests, then submit for review by both reviewers.
High-intent search queries and answers about installing and using this skill.
To optimize SQL queries using the Cascades query planner, implement new rules based on the Java reference implementation and submit them for architectural and code quality review. This process ensures changes align with the framework and pass determinism checks.
The best way to pass code review for SQL query optimization rules is to eliminate dead code, fix logic holes, and complete conversions. Your implementation must pass both architectural alignment checks and non-deterministic test requirements.
The Cascades query planner architectural review verifies that new SQL rules match the Java reference implementation and framework guidelines. It requires approval from designated architectural reviewers before deployment.
Non-deterministic tests fail when SQL optimization rules contain logic holes or incomplete conversions. The Cascades framework requires these tests to pass consistently, ensuring reliable query execution and adherence to code quality standards.
Yes, you need to read the Java reference implementation before writing Cascades SQL optimization rules. Reading the Java source code for the corresponding SQL component is the required starting point to ensure architectural consistency.
Modifications to the Cascades query optimizer are constrained by the requirement to align with the Java reference implementation. Changes must pass dual architectural and code quality reviews, preventing deviations from core framework standards.
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