Skills

AWS cloud patterns for Lambda, ECS, S3, DynamoDB, and Infrastructure as Code with CDK/Terraform

CI/CD pipeline patterns for GitHub Actions, GitLab CI, testing strategies, and deployment automation

Auto-extract patterns from coding sessions, track corrections, and build reusable knowledge with confidence scoring

Data engineering patterns for ETL pipelines, data warehousing, Apache Spark, and data quality validation

Query optimization, indexing strategies, and database performance tuning for PostgreSQL and MySQL

CI/CD pipeline design with GitHub Actions, Docker, Kubernetes, Helm, and GitOps patterns

Django architecture patterns including DRF, ORM optimization, signals, middleware, and project structure

Docker best practices including multi-stage builds, compose patterns, image optimization, and security

Advanced git workflows including worktrees, bisect, interactive rebase, hooks, and recovery techniques

Idiomatic Go patterns for error handling, interfaces, concurrency, testing, and module management

GraphQL schema design, resolver patterns, subscriptions, DataLoader for N+1 prevention, and error handling

Kubernetes operations including manifests, Helm charts, operators, troubleshooting, and resource management

LLM integration patterns including API usage, streaming, function calling, RAG pipelines, and cost optimization

MCP server development including tool design, resource endpoints, prompt templates, and transport configuration

Microservices design patterns including service mesh, event-driven architecture, saga pattern, and API gateway

Monitoring and observability with OpenTelemetry, Prometheus, Grafana dashboards, and structured logging

Web performance optimization including bundle analysis, lazy loading, caching strategies, and Core Web Vitals

PostgreSQL optimization including indexes, query plans, partitioning, JSONB operations, and connection pooling

Prompt engineering patterns including structured prompts, chain-of-thought, few-shot learning, and system prompt design

Pythonic code with modern type hints, dataclasses, async patterns, packaging, and testing

Redis patterns including caching strategies, pub/sub, streams for event processing, Lua scripts, and data structures

Rust systems programming patterns including ownership, traits, async runtime, error handling, and unsafe guidelines

Application security covering input validation, auth, headers, secrets management, and dependency auditing

Spring Boot patterns including JPA repositories, REST controllers, layered services, and configuration