Configure, tune, and manage production database engines with compliance auditing.
npx skills add https://github.com/iuliandita/skills --skill databases-iuliandita
Please help me install this Agent Skill. Skill: databases Source: https://github.com/iuliandita/skills/tree/main/skills/databases Command: npx skills add https://github.com/iuliandita/skills --skill databases-iuliandita
This skill addresses the high risk of misconfiguration, performance bottlenecks, and data loss in production database environments by providing a standardized, checklist-driven approach to operations.
Use the databases skill to analyze the provided query plan and suggest an indexing strategy for the slow-running orders table.
High-intent search queries and answers about installing and using this skill.
To optimize PostgreSQL query performance, analyze the query execution plan and apply structured workflows for index tuning and connection pool sizing. This approach targets slow-running tables by evaluating execution plans to suggest effective indexing strategies.
Zero-downtime database migration uses battle-tested patterns for schema changes and cross-engine transfers between PostgreSQL, MongoDB, MySQL, and MSSQL. This ensures continuous availability and data integrity during complex operational migrations.
Hardening MongoDB and MySQL for PCI-DSS 4.0 compliance involves enforcing security baselines including SCRAM-SHA-256, TLS, and strict mode configurations. This enforces strict security and durability standards across all generated database configuration changes.
Yes, this database configuration approach requires strict adherence to idempotency standards for all generated SQL and configuration changes. This ensures repeated schema design operations yield consistent results without risking data loss or unexpected side effects.
Yes, you can use this for MSSQL connection pool sizing and performance bottlenecks. It provides structured workflows for query plan analysis and performance optimization across PostgreSQL, MongoDB, MySQL, and MSSQL production database environments.
Production database hardening requires strict security and durability standards to mitigate the high risk of misconfiguration, performance bottlenecks, and data loss. A standardized checklist-driven approach ensures safe operations across complex database engines.
tedtv1007-ctrlAnalyze PostgreSQL execution plans and schema definitions to recommend query and index optimizations.
Andreicr1Generate deployment verification checklists and SQL queries for production changes.
haidonglethqbAutomate cloud infrastructure deployment across Cloudflare, Docker, GCP, and Kubernetes.
belokonmOptimize production database operations for PostgreSQL, MySQL, and MongoDB deployments.
