93 plugins for MySQL development
Query data warehouses like BigQuery, PostgreSQL, Snowflake with natural language to generate optimized SQL, profile tables and files for quality and distributions, perform statistical analysis on metrics and trends, create publication-quality charts with matplotlib/seaborn/plotly, build interactive HTML dashboards with KPIs/charts/filters, QA analyses for accuracy, and connect via MCPs to Amplitude, Hex, Confluence for insights and reporting.
Design, deploy, manage, and optimize production infrastructure across AWS, Azure, GCP using Terraform and Kubernetes; build CI/CD pipelines; operate databases like PostgreSQL/MySQL/MongoDB/Redis; harden security; handle incidents and SRE tasks with specialized DevOps agents.
Delegate high-performance game development to AI experts: implement Unity ECS/DOTS/Burst patterns in C#, Godot 4 GDScript architecture/signals/state machines, and Minecraft Bukkit/Spigot plugins with Java APIs, player/world management, databases, performance tweaks, and Docker.
Accelerate building production-ready Go applications with 35 AI agent skills that enforce idiomatic patterns, optimize performance via benchmarks and profiling, integrate databases and gRPC, add observability and structured logging, write comprehensive tests, set up GitHub Actions CI/CD, manage dependencies securely, and troubleshoot bugs.
Delegate product strategy, legal reviews, licensing implementation, project management, UX research, business analysis, and operational tasks to 12 specialized AI subagents, streamlining non-coding workflows for software development and business growth.
Accelerate Java Spring Boot development by generating CRUD apps, REST APIs, and AI integrations with LangChain4j; write unit/integration tests; integrate AWS services like RDS, DynamoDB, S3, Lambda; refactor code, audit security/dependencies, and produce documentation/architecture reviews via agents, commands, skills, and LSP support.
Analyze slow SQL queries and receive optimized rewrites, index recommendations, execution plan insights, anti-pattern fixes, and performance estimates for PostgreSQL, MySQL, and SQLite databases.
Design normalized relational database schemas for PostgreSQL and MySQL from natural language requirements. Generate DDL statements, constraints, indexes, relationships, migrations, checklists, and Mermaid ERDs following best practices and normalization guidance.
Optimize slow PostgreSQL and MySQL queries: analyze EXPLAIN ANALYZE plans, identify missing indexes, fix N+1 problems, sequential scans, OFFSET pagination issues, temp table spills, and inefficient JOINs using pg_stat_statements and best practices.
Generate SQL queries from natural language descriptions using your database schema for PostgreSQL, MySQL, or BigQuery. Analyze CSV or Excel user data to produce cohort retention heatmaps, engagement trends, churn insights, and research recommendations. Evaluate A/B tests for statistical significance, confidence intervals, lift, and ship/extend/stop decisions with Python-powered reports.
Optimize multi-tenant database performance for enterprise B2B and SaaS applications by tuning queries, refining indexing strategies, implementing connection pooling, and scaling PostgreSQL, MySQL, MongoDB, and cloud databases with AI-driven data architecture advice.
Dockerize Node/Python/PHP/Go apps by generating optimized multi-stage Dockerfiles, docker-compose.yaml, .dockerignore, and .env files; provision secure, persistent PostgreSQL/MySQL/MongoDB/Redis containers with health checks; configure SSL/TLS proxies via Traefik or Nginx; diagnose and fix container failures, networking, permissions, and port issues using logs and docs.