ScyllaDB
Official@scylladb · Distributed
ScyllaDB, the Real-Time Big Data Database
Agent Skills by ScyllaDB
Showing 6 vetted skills indexed across 1 GitHub repositories.
scylladbdesigning-skills
Guide AI agent skill design for the SCT repository with modular directories.
scylladbwriting-plans
Generates structured implementation plans in SCT's 7-section format.
scylladbfix-backport-conflicts
Resolve Git merge conflict markers in backport pull requests.
scylladbprofiling-sct-code
Profile Python code in SCT tests with cProfile, Scalene, and Memray.
scylladbwriting-unit-tests
Guide creation and debugging of SCT framework unit tests with pytest conventions.
scylladbwriting-integration-tests
Guide integration test development for the SCT framework with external services.
Frequently Asked Questions About ScyllaDB
FAQPage SchemaWhat specific tasks does the ScyllaDB SCT framework enable?▼
The framework enables structured development of unit and integration tests for database systems. It provides standardized directory modularity, implementation planning formats, and specialized diagnostic capabilities for identifying performance regressions and memory leaks within test suites.
Which engineering personas benefit from these skills?▼
These skills are designed for database engineers, quality assurance specialists, and maintainers working within the SCT repository. They are specifically tailored for developers managing high-performance database codebases who require rigorous testing, conflict resolution, and deep-dive performance analysis.
What are the prerequisites for utilizing these testing and profiling skills?▼
Users must operate within the SCT repository environment and adhere to established pytest conventions. Effective use requires familiarity with Git for conflict resolution and proficiency in diagnostic utilities like Scalene and Memray for analyzing execution metrics.