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Found 12 Skills
Diagnose ClickHouse issues by analyzing system.part_log (part creation, merges, mutations, downloads, removals, moves). Use for too many parts / micro-batch inserts, merge backlog or slow merges, mutation storms (ALTER DELETE/UPDATE), unusual replication DownloadPart churn, unexpected RemovePart spikes, or ZooKeeper/Keeper znode growth correlated with part activity.
PostgreSQL best practices, query optimization, connection troubleshooting, and performance insights for PlanetScale Postgres. Load when working with PlanetScale PostgreSQL databases.
Diagnose ClickHouse merge performance, part backlog, and 'too many parts' errors. Use for merge issues and part management problems.
Expert knowledge for Azure Database for PostgreSQL development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when building, debugging, or optimizing Azure Database for PostgreSQL applications. Not for Azure SQL Database (use azure-sql-database), Azure SQL Managed Instance (use azure-sql-managed-instance), SQL Server on Azure Virtual Machines (use azure-sql-virtual-machines), Azure Cosmos DB (use azure-cosmos-db).
Эксперт по troubleshooting гайдам. Используй для создания диагностических процедур, FAQ и решения проблем.
Debug failed Render deployments by analyzing logs, metrics, and database state. Identifies errors (missing env vars, port binding, OOM, etc.) and suggests fixes. Use when deployments fail, services won't start, or users mention errors, logs, or debugging.
Debug issues by investigating logs, database state, and git history
PostgreSQL best practices, query optimization, connection troubleshooting, and performance improvement. Load when working with Postgres databases.
Use these skills when you need to troubleshoot performance bottlenecks, analyze query execution plans, identify resource-heavy processes, and monitor system-level PromQL metrics.
Use proactively when encountering Rails errors, test failures, build issues, or unexpected behavior. Analyzes errors, reproduces issues, and identifies root causes.
Analyze a Materialize environment for health, performance, and optimization opportunities using the MCP Developer endpoint. Use this skill when someone wants to check environment health, investigate performance issues, troubleshoot stale materialized views, diagnose memory pressure, audit resource utilization, or get optimization recommendations. Trigger this even if the user just says "check my environment", "why is my MV stale", "why is my cluster slow", or "what can I optimize".
Expert knowledge for Azure Database for MySQL development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when deploying MySQL Flexible Server, tuning performance, configuring HA/networking, securing access, or integrating apps, and other Azure Database for MySQL related development tasks. Not for Azure Database for MariaDB (use azure-database-mariadb), Azure Database for PostgreSQL (use azure-database-postgresql), Azure SQL Database (use azure-sql-database), Azure SQL Managed Instance (use azure-sql-managed-instance).